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Menezes AGS, Lins SRM, Silva CSG, Tabarelli M, Filgueiras BKC. Negative effects of human disturbance and increased aridity on root biomass and nutrients along the regeneration of a tropical dry forest in the context of slash-and-burn agriculture. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:172955. [PMID: 38719045 DOI: 10.1016/j.scitotenv.2024.172955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/12/2024] [Accepted: 05/01/2024] [Indexed: 05/24/2024]
Abstract
Biomass is an important indicator of the ability of tropical forests to deliver ecosystem services, but little attention has been given to belowground biomass and its drivers in human-modified landscapes. Here, we investigated the belowground biomass and nutrient concentration/stocks (C, P, and N) across regenerating forest stands with varying ages (10-76 years old) and old-growth forests in the Caatinga dry forest (northeastern Brazil) in the context of slash-and-burn agriculture. Belowground biomass ranged from 1.89 ± 0.33 Mg ha-1 to 17.53 ± 2.28 Mg ha-1 (mean ± SE) across regenerating forest stands and averaged 8.33 ± 1.59 Mg ha-1, with no differences compared to old-growth stands. However, regenerating stands exhibited a higher root/shoot ratio with biomass concentrated in the superficial soil layer and in large-sized roots, regardless of the successional stage. Root nutrient concentration and stocks were highly variable across forest stands with fine roots supporting a higher concentration of N and P, while regenerating stands supported lower nutrient stocks as compared to old-growth forests. Finally, precipitation and chronic disturbance emerged as the most important drivers of belowground biomass and nutrient concentrations/stocks, while aboveground biomass played a negligible role. Our results indicate that, in human-modified landscapes of tropical dry forests, belowground biomass and nutrients play important roles in ecosystem functions in regenerated forests after slash-and-burn agriculture. Forest resilience and provision of ecosystem services (e.g., nutrient cycling) appear to be very sensitive to increased aridity and exploitation of forest resources.
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Affiliation(s)
- Artur G S Menezes
- Programa de Pós-Graduação em Biologia Vegetal, Universidade Federal de Pernambuco, Recife, Pernambuco 50670-901, Brazil
| | - Silvia R M Lins
- Programa de Pós-Graduação em Biologia Vegetal, Universidade Federal de Pernambuco, Recife, Pernambuco 50670-901, Brazil
| | - Carolina S G Silva
- Programa de Pós-Graduação em Biologia Vegetal, Universidade Federal de Pernambuco, Recife, Pernambuco 50670-901, Brazil
| | - Marcelo Tabarelli
- Departamento de Botânica, Universidade Federal de Pernambuco, Brazil
| | - Bruno K C Filgueiras
- Universidade de Pernambuco, Campus Mata Norte, Nazaré da Mata, PE 55800-000, Brazil.
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Wang Y, Liu Y, Chen P, Song J, Fu B. Interannual precipitation variability dominates the growth of alpine grassland above-ground biomass at high elevations on the Tibetan Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172745. [PMID: 38677425 DOI: 10.1016/j.scitotenv.2024.172745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 03/18/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
The impact of global climate change on mountainous regions with significant elevational gaps is complex and often unpredictable. In particular, alpine grassland ecosystems, are experiencing changes in their spatial patterns along elevational gradients, which increases their vulnerability to degradation. Therefore, a more detailed understanding of spatiotemporal changes in alpine grassland productivity along elevational gradients and an elevation-dependent characterization of the effects of climatic variables on grassland productivity dynamics are essential. Thus, we conducted a study in the Tibetan Plateau, where we collected 2251 above-ground biomass (AGB) observations collected from 1986 to 2020. Mean annual temperature (TMP), annual precipitation (PRE), interannual precipitation variability (CVP), and snowmelt (SNMM) were chosen as influential variables. Using the Random Forest algorithm, we generated an AGB raster dataset covering the period 1989-2020 based on earth observation data at 30 m resolution to examine the dynamics of alpine grasslands and their response to climate change with respect to elevation. The results showed that the AGB of alpine grassland on the Tibetan Plateau was 49.17 g/m2. We observed an increasing trend in grassland AGB at high elevations, with a growth rate of about 0.28 g/m2 per year within the interval of 3100-4800 m. However, above the elevation of approximately 4400-4600 m, we observed a decoupling trend between grassland AGB and TMP. Moreover, at most elevations, the proportion of maximum partial correlation coefficients for CVP, PRE, and SNMM surpassed that of TMP. We found the dominant role of precipitation variability on grassland AGB dynamics, with 22.80 % and 18.86 % for CVP+ and CVP-, respectively. The proportion of CVP+ did not vary much at different elevations, whereas the proportion of CVP- increased with elevation, varying between 12.85 and 30.25 %. In the future, precipitation on the Tibetan plateau is expected to increase, potentially reversing its original positive impact.
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Affiliation(s)
- Yijia Wang
- Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Yanxu Liu
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
| | - Peng Chen
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Jiaxi Song
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Bojie Fu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
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3
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Wu B, Zhang Y, Wang Y, Lin X, Wu Y, Wang J, Wu S, He Y. Urbanization promotes carbon storage or not? The evidence during the rapid process of China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 359:121061. [PMID: 38728983 DOI: 10.1016/j.jenvman.2024.121061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 04/15/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024]
Abstract
China's commitment to attaining carbon neutrality by 2060 has galvanized research into carbon sequestration, a critical approach for mitigating climate change. Despite the rapid urbanization observed since the turn of the millennium, a comprehensive analysis of how urbanization influences urban carbon storage throughout China remains elusive. Our investigation delves into the nuanced effects of urbanization on carbon storage, dissecting both the direct and indirect influences by considering urban-suburban gradients and varying degrees of urban intensity. We particularly scrutinize the roles of climatic and anthropogenic factors in mediating the indirect effects of urbanization on carbon storage. Our findings reveal that urbanization in China has precipitated a direct reduction in carbon storage by approximately 13.89 Tg of carbon (Tg C). Remarkably, urban sprawl has led to a diminution of vegetation carbon storage by 8.65 Tg C and a decrease in soil carbon storage by 5.24 Tg C, the latter resulting from the sequestration of impervious surfaces and the elimination of organic matter inputs following vegetation removal. Meanwhile, carbon storage in urban greenspaces has exhibited an increase of 6.90 Tg C and offsetting 49.70% of the carbon loss induced by direct urbanization effects. However, the indirect effects of urbanization predominantly diminish carbon storage in urban greenspaces by an average of 5.40%. The degree of urban vegetation management emerges as a pivotal factor influencing the indirect effects of urbanization on carbon storage. To bolster urban carbon storage, curbing urban sprawl and augmenting urban green spaces are imperative strategies. Insights from this study are instrumental in steering sustainable urban planning and advancing towards the goal of carbon neutrality.
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Affiliation(s)
- Bowei Wu
- Key Laboratory of Humid Subtropical Eco-geographical Processes of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China; Institute of Geography, Fujian Normal University, Fuzhou, 350117, China
| | - Yuanyuan Zhang
- Key Laboratory of Humid Subtropical Eco-geographical Processes of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China; Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, 210023, China
| | - Yuan Wang
- Key Laboratory of Humid Subtropical Eco-geographical Processes of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China; Institute of Geography, Fujian Normal University, Fuzhou, 350117, China.
| | - Xiaobiao Lin
- College of Sociology and History, Fujian Normal University, Fuzhou, 350117, China
| | - Yifan Wu
- School of Culture, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
| | - Jiawei Wang
- School of Culture, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
| | - Shidai Wu
- Key Laboratory of Humid Subtropical Eco-geographical Processes of Ministry of Education, School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China; Institute of Geography, Fujian Normal University, Fuzhou, 350117, China
| | - Yanmin He
- Faculty of Economics, Otemon Gakuin University, Osaka, 567-8502, Japan
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Blume-Werry G, Semenchuk P, Ljung K, Milbau A, Novak O, Olofsson J, Brunoni F. In situ seasonal patterns of root auxin concentrations and meristem length in an arctic sedge. THE NEW PHYTOLOGIST 2024; 242:988-999. [PMID: 38375943 DOI: 10.1111/nph.19616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 02/04/2024] [Indexed: 02/21/2024]
Abstract
Seasonal dynamics of root growth play an important role in large-scale ecosystem processes; they are largely governed by growth regulatory compounds and influenced by environmental conditions. Yet, our knowledge about physiological drivers of root growth is mostly limited to laboratory-based studies on model plant species. We sampled root tips of Eriophorum vaginatum and analyzed their auxin concentrations and meristem lengths biweekly over a growing season in situ in a subarctic peatland, both in surface soil and at the permafrost thawfront. Auxin concentrations were almost five times higher in surface than in thawfront soils and increased over the season, especially at the thawfront. Surprisingly, meristem length showed an opposite pattern and was almost double in thawfront compared with surface soils. Meristem length increased from peak to late season in the surface soils but decreased at the thawfront. Our study of in situ seasonal dynamics in root physiological parameters illustrates the potential for physiological methods to be applied in ecological studies and emphasizes the importance of in situ measurements. The strong effect of root location and the unexpected opposite patterns of meristem length and auxin concentrations likely show that auxin actively governs root growth to ensure a high potential for nutrient uptake at the thawfront.
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Affiliation(s)
- Gesche Blume-Werry
- Department of Ecology and Environmental Science, Umeå University, 901 87, Umeå, Sweden
| | - Philipp Semenchuk
- Department of Arctic Biology, UNIS - The University Centre in Svalbard, 9171, Longyearbyen, Norway
| | - Karin Ljung
- Department of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Sciences, 901 83, Umeå, Sweden
| | - Ann Milbau
- Department of Ecology and Environmental Science, Umeå University, 901 87, Umeå, Sweden
| | - Ondrej Novak
- Department of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Sciences, 901 83, Umeå, Sweden
- Laboratory of Growth Regulators, Faculty of Science, Palacký University & Institute of Experimental Botany of the Czech Academy of Sciences, CZ-78371, Olomouc, Czech Republic
| | - Johan Olofsson
- Department of Ecology and Environmental Science, Umeå University, 901 87, Umeå, Sweden
| | - Federica Brunoni
- Department of Forest Genetics and Plant Physiology, Umeå Plant Science Centre, Swedish University of Agricultural Sciences, 901 83, Umeå, Sweden
- Laboratory of Growth Regulators, Faculty of Science, Palacký University & Institute of Experimental Botany of the Czech Academy of Sciences, CZ-78371, Olomouc, Czech Republic
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5
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Chen S, Huang K, Hu L, Wang P, Hu S. Precipitation- rather than temperature-driven pattern in belowground biomass and root:shoot ratio across the Qinghai-Tibet Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170158. [PMID: 38224890 DOI: 10.1016/j.scitotenv.2024.170158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/12/2024] [Accepted: 01/12/2024] [Indexed: 01/17/2024]
Abstract
The Qinghai-Tibet Plateau faces dramatic global change, which can greatly affect its plant growth, biomass accumulation, and carbon cycling. However, it is still unclear how belowground plant biomass, which is the major part of vegetation biomass on the plateau, changes with different environmental factors, impeding accurate prediction of ecosystem carbon cycling under future global change scenarios. To reveal the patterns of belowground biomass and root:shoot ratio with environmental factors in different vegetation types on the Qinghai-Tibet Plateau, we synthesized data for 158 sites from 167 publications, including 585 and 379 observations for above- and below-ground biomass, respectively. Data on temperature, precipitation, soil nitrogen content, evapotranspiration and solar radiation were collected from open databases. The results showed that precipitation, rather than temperature, was closely associated with other environmental factors including soil N and solar radiation. Also, both above- and below-ground biomass significantly increased with annual precipitation and its related environmental factors, while elevation-related coldness only slightly decreased aboveground biomass. In addition, the positive effect of precipitation on belowground biomass is more obvious in higher elevations (colder areas). As a result, root:shoot ratio significantly increased with precipitation in colder areas but not in warmer areas. Finally, the positive relationship between biomass and precipitation was stronger for dryer steppes than for wetter meadows and shrublands. Our findings indicate that precipitation, as well as the associated nitrogen availability and solar radiation, together are more important drivers than temperature for ecosystem productivity and biomass allocation on the Qinghai-Tibet Plateau. Given the heterogeneous trend of precipitation change on the plateau, productivity response to global change can be highly variable across different regions and vegetation types, which can consequently impact soil carbon dynamics and regional carbon cycling.
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Affiliation(s)
- Sihan Chen
- College of Resources and Environmental Sciences, Nanjing Agricultural University, 210095 Nanjing, China
| | - Kailing Huang
- College of Resources and Environmental Sciences, Nanjing Agricultural University, 210095 Nanjing, China; Ecology, Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | - Lingyan Hu
- College of Resources and Environmental Sciences, Nanjing Agricultural University, 210095 Nanjing, China
| | - Peng Wang
- College of Resources and Environmental Sciences, Nanjing Agricultural University, 210095 Nanjing, China.
| | - Shuijin Hu
- Department of Entomology & Plant Pathology, North Carolina State University, Raleigh, NC 27695, United States
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Wang J, Zhang X, Wang R, Yu M, Chen X, Zhu C, Shang J, Gao J. Climate Factors Influence Above- and Belowground Biomass Allocations in Alpine Meadows and Desert Steppes through Alterations in Soil Nutrient Availability. PLANTS (BASEL, SWITZERLAND) 2024; 13:727. [PMID: 38475573 DOI: 10.3390/plants13050727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024]
Abstract
Biomass is a direct reflection of community productivity, and the allocation of aboveground and belowground biomass is a survival strategy formed by the long-term adaptation of plants to environmental changes. However, under global changes, the patterns of aboveground-belowground biomass allocations and their controlling factors in different types of grasslands are still unclear. Based on the biomass data of 182 grasslands, including 17 alpine meadows (AMs) and 21 desert steppes (DSs), this study investigates the spatial distribution of the belowground biomass allocation proportion (BGBP) in different types of grasslands and their main controlling factors. The research results show that the BGBP of AMs is significantly higher than that of DSs (p < 0.05). The BGBP of AMs significantly decreases with increasing mean annual temperature (MAT) and mean annual precipitation (MAP) (p < 0.05), while it significantly increases with increasing soil nitrogen content (N), soil phosphorus content (P), and soil pH (p < 0.05). The BGBP of DSs significantly decreases with increasing MAP (p < 0.05), while it significantly increases with increasing soil phosphorus content (P) and soil pH (p < 0.05). The random forest model indicates that soil pH is the most important factor affecting the BGBP of both AMs and DSs. Climate-related factors were identified as key drivers shaping the spatial distribution patterns of BGBP by exerting an influence on soil nutrient availability. Climate and soil factors exert influences not only on grassland biomass allocation directly, but also indirectly by impacting the availability of soil nutrients.
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Affiliation(s)
- Jiangfeng Wang
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
| | - Xing Zhang
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
| | - Ru Wang
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
| | - Mengyao Yu
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
| | - Xiaohong Chen
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
| | - Chenghao Zhu
- East China Survey and Planning Institute, National Forestry and Grassland Administration, Hangzhou 430010, China
| | - Jinlong Shang
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
| | - Jie Gao
- College of Life Sciences, Xinjiang Normal University, Urumqi 830054, China
- Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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7
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Li B, Wang X, Li Z. Plants extend root deeper rather than increase root biomass triggered by critical age and soil water depletion. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169689. [PMID: 38160841 DOI: 10.1016/j.scitotenv.2023.169689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/16/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
Exploring plant root characteristics is important to understand the aboveground plant growth and ecosystem, but has rarely been conducted because of the difficulties in obtaining root information. This study aims to clarify the root distribution and rooting strategy under the combined control of vegetation types and rainfall gradients. We compiled 64 plant root and 81 soil water profiles up to 10 m deep with plant ages of up to 40 years old in China's Loess Plateau, and then fitted the shape and extinction coefficients (β) and proposed the relation of D95/D50 (ratio of depth corresponding to 95 % of total biomass to that corresponding to 50 % of total biomass) to β to characterize the rooting strategy. The cumulative root biomass increase from shallow- to deep-rooted plants, and from >550 mm to <450 mm precipitation gradients. The root system parameters have large spatial variability, dominated by vegetation type but supplemented by climate. The negative correlation between D95/D50 and β indicated a tradeoff between rooting depths and root biomass. The plants would change rooting strategy from increasing root biomass to increasing rooting depths when the plant stand age and soil water depletion degree are >25.7 ± 3.6 years and 35.7 % ± 15.1 %, respectively. These results reveal a clear plant rooting strategy that extends root deeper rather than increases root biomass triggered by critical age and soil water depletion.
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Affiliation(s)
- Bingbing Li
- College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
| | - Xiaoping Wang
- College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
| | - Zhi Li
- College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China.
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Zhang X, Wang Y, Wang J, Yu M, Zhang R, Mi Y, Xu J, Jiang R, Gao J. Elevation Influences Belowground Biomass Proportion in Forests by Affecting Climatic Factors, Soil Nutrients and Key Leaf Traits. PLANTS (BASEL, SWITZERLAND) 2024; 13:674. [PMID: 38475521 DOI: 10.3390/plants13050674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024]
Abstract
Forest biomass allocation is a direct manifestation of biological adaptation to environmental changes. Studying the distribution patterns of forest biomass along elevational gradients is ecologically significant for understanding the specific impacts of global change on plant resource allocation strategies. While aboveground biomass has been extensively studied, research on belowground biomass remains relatively limited. Furthermore, the patterns and driving factors of the belowground biomass proportion (BGBP) along elevational gradients are still unclear. In this study, we investigated the specific influences of climatic factors, soil nutrients, and key leaf traits on the elevational pattern of BGBP using data from 926 forests at 94 sites across China. In this study, BGBP data were calculated from the root biomass to the depth of 50 cm. Our findings indicate considerable variability in forest BGBP at a macro scale, showing a significant increasing trend along elevational gradients (p < 0.01). BGBP significantly decreases with increasing temperature and precipitation and increases with annual mean evapotranspiration (MAE) (p < 0.01). It decreases significantly with increasing soil phosphorus content and increases with soil pH (p < 0.01). Key leaf traits (leaf nitrogen (LN) and leaf phosphorus (LP)) are positively correlated with BGBP. Climatic factors (R2 = 0.46) have the strongest explanatory power for the variation in BGBP along elevations, while soil factors (R2 = 0.10) and key leaf traits (R2 = 0.08) also play significant roles. Elevation impacts BGBP directly and also indirectly through influencing such as climate conditions, soil nutrient availability, and key leaf traits, with direct effects being more pronounced than indirect effects. This study reveals the patterns and controlling factors of forests' BGBP along elevational gradients, providing vital ecological insights into the impact of global change on plant resource allocation strategies and offering scientific guidance for ecosystem management and conservation.
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Affiliation(s)
- Xing Zhang
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
| | - Yun Wang
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
| | - Jiangfeng Wang
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
| | - Mengyao Yu
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
| | - Ruizhi Zhang
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
| | - Yila Mi
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
| | - Jiali Xu
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
| | - Ruifang Jiang
- Xinjiang Uyghur Autonomous Region Forestry Planning Institute, Urumqi 830046, China
| | - Jie Gao
- Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi 830054, China
- Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100863, China
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9
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Rog I, Hilman B, Fox H, Yalin D, Qubaja R, Klein T. Increased belowground tree carbon allocation in a mature mixed forest in a dry versus a wet year. GLOBAL CHANGE BIOLOGY 2024; 30:e17172. [PMID: 38343030 DOI: 10.1111/gcb.17172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 02/15/2024]
Abstract
Tree species differ in their carbon (C) allocation strategies during environmental change. Disentangling species-specific strategies and contribution to the C balance of mixed forests requires observations at the individual tree level. We measured a complete set of C pools and fluxes at the tree level in five tree species, conifers and broadleaves, co-existing in a mature evergreen mixed Mediterranean forest. Our study period included a drought year followed by an above-average wet year, offering an opportunity to test the effect of water availability on tree C allocation. We found that in comparison to the wet year, C uptake was lower in the dry year, C use was the same, and allocation to belowground sinks was higher. Among the five major C sinks, respiration was the largest (ca. 60%), while root exudation (ca. 10%) and reproduction (ca. 2%) were those that increased the most in the dry year. Most trees relied on stored starch for maintaining a stable soluble sugars balance, but no significant differences were detected in aboveground storage between dry and wet years. The detailed tree-level analysis of nonstructural carbohydrates and δ13 C dynamics suggest interspecific differences in C allocation among fluxes and tissues, specifically in response to the varying water availability. Overall, our findings shed light on mixed forest physiological responses to drought, an increasing phenomenon under the ongoing climate change.
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Affiliation(s)
- Ido Rog
- Department of Plant & Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Boaz Hilman
- Department of Biogeochemical Processes, Max-Planck Institute for Biogeochemistry, Jena, Germany
- The Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hagar Fox
- Department of Plant & Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - David Yalin
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Rafat Qubaja
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Tamir Klein
- Department of Plant & Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
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Liao J, Huang Y, Li Z, Niu S. Data-driven modeling on the global annual soil nitrous oxide emissions: Spatial pattern and attributes. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166472. [PMID: 37625728 DOI: 10.1016/j.scitotenv.2023.166472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 08/08/2023] [Accepted: 08/19/2023] [Indexed: 08/27/2023]
Abstract
Previous assessments generated divergent estimates of global terrestrial soil nitrous oxide (N2O) emission and its spatial distributions, which did not match the observed data well. The objectives of this study were to generate a global map of terrestrial soil N2O emissions based on field observations (n = 5549) and quantify the contribution of different variables for predicting the global variation of N2O emissions. We provided spatially explicit maps of annual soil N2O emission rates across forest, grassland and cropland using the random forest approach. The global mean soil N2O emission rate in our data-driven model was 0.059 ± 0.006 g N m-2 year-1, which was lower than the estimates from previous model ensembles. Soil N2O emissions were higher in the northern than southern hemisphere. The average annual soil N2O emission rate of cropland (0.094 ± 0.009 g N m-2 year-1) was higher than that of forest (0.039 ± 0.004 g N m-2 year-1) and grassland (0.045 ± 0.007 g N m-2 year-1). In addition, we found that soil nitrogen substrates dominated the changes in soil N2O emissions and the relative importance of nitrate, ammonium, and fertilizer in predicting soil N2O emissions was greater than that of mean annual temperature and precipitation. Our data-driven model results implied that previous process-based model may overestimate the global soil N2O emission rates due to limited validation data and incomplete assumptions on related-mechanisms. This study highlights the importance of global field observations in N2O emission estimation, which can provide an independent dataset to constrain previous process-based models for better prediction.
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Affiliation(s)
- Jiaqiang Liao
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Yuanyuan Huang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhaolei Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, College of Resources and Environment, and Academy of Agricultural Sciences, Southwest University, Chongqing 400715, China
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
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11
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Mo L, Zohner CM, Reich PB, Liang J, de Miguel S, Nabuurs GJ, Renner SS, van den Hoogen J, Araza A, Herold M, Mirzagholi L, Ma H, Averill C, Phillips OL, Gamarra JGP, Hordijk I, Routh D, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Amaral I, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon RL, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Frizzera L, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Hillers A, Honorio Coronado EN, Hui C, Ibanez T, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Mendoza-Polo I, Miscicki S, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Picard N, Piedade MTF, Piotto D, Pitman NCA, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, Gann GD, Crowther TW. Integrated global assessment of the natural forest carbon potential. Nature 2023; 624:92-101. [PMID: 37957399 PMCID: PMC10700142 DOI: 10.1038/s41586-023-06723-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/06/2023] [Indexed: 11/15/2023]
Abstract
Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system1. Remote-sensing estimates to quantify carbon losses from global forests2-5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellite-derived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151-363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.
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Affiliation(s)
- Lidong Mo
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland.
| | - Constantin M Zohner
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland.
| | - Peter B Reich
- Department of Forest Resources, University of Minnesota, St. Paul, MN, USA
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
- Institute for Global Change Biology, University of Michigan, Ann Arbor, MI, USA
| | - Jingjing Liang
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Sergio de Miguel
- Department of Agricultural and Forest Sciences and Engineering, University of Lleida, Lleida, Spain
- Joint Research Unit CTFC - AGROTECNIO - CERCA, Solsona, Spain
| | | | - Susanne S Renner
- Department of Biology, Washington University, St. Louis, MO, USA
| | - Johan van den Hoogen
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Arnan Araza
- Wageningen University & Research, Wageningen, The Netherlands
| | - Martin Herold
- Remote Sensing and Geoinformatics Section, Helmholtz GFZ German Research Centre for Geosciences, Potsdam, Germany
| | - Leila Mirzagholi
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Haozhi Ma
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Colin Averill
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | | | - Javier G P Gamarra
- Forestry Division, Food and Agriculture Organization of the United Nations, Rome, Italy
| | - Iris Hordijk
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Devin Routh
- Central IT - Teaching and Research, University of Zürich, Zürich, Switzerland
| | - Meinrad Abegg
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | - Yves C Adou Yao
- UFR Biosciences, University Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire
| | - Giorgio Alberti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Angelica M Almeyda Zambrano
- Spatial Ecology and Conservation Lab, Center for Latin American Studies, University of Florida, Gainesville, FL, USA
| | | | | | | | - Luciana F Alves
- Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
| | - Iêda Amaral
- National Institute of Amazonian Research, Manaus, Brazil
| | - Christian Ammer
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Göttingen, Germany
| | - Clara Antón-Fernández
- Division of Forest and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
| | | | - Luzmila Arroyo
- Museo de Historia Natural Noel Kempff Mercado, Santa Cruz de la Sierra, Bolivia
| | | | - Gerardo A Aymard
- Programa de Ciencias del Agro y el Mar, Herbario Universitario (PORT), UNELLEZ-Guanare, Portuguesa, Venezuela
- Compensation International Progress S. A. Ciprogress Greenlife, Bogotá, Colombia
| | | | - Radomir Bałazy
- Department of Geomatics, Forest Research Institute, Sękocin Stary, Poland
| | - Olaf Banki
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Jorcely G Barroso
- Centro Multidisciplinar, Universidade Federal do Acre, Rio Branco, Brazil
| | - Meredith L Bastian
- Proceedings of the National Academy of Sciences, Washington, DC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Jean-Francois Bastin
- TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liege, Liege, Belgium
| | | | - Philippe Birnbaum
- Institut Agronomique néo-Calédonien (IAC), Nouméa, New Caledonia
- AMAP, Univ. Montpellier, Montpellier, France
- CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Robert Bitariho
- Institute of Tropical Forest Conservation, Mbarara University of Science & Technology, Mbarara, Uganda
| | - Pascal Boeckx
- Isotope Bioscience Laboratory - ISOFYS, Ghent University, Ghent, Belgium
| | - Frans Bongers
- Wageningen University & Research, Wageningen, The Netherlands
| | | | - Pedro H S Brancalion
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Francis Q Brearley
- Department of Natural Sciences, Manchester Metropolitan University, Manchester, UK
| | - Roel Brienen
- School of Geography, University of Leeds, Leeds, UK
| | - Eben N Broadbent
- Spatial Ecology and Conservation Lab, Center for Latin American Studies, University of Florida, Gainesville, FL, USA
| | - Helge Bruelheide
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle-Wittenberg, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Filippo Bussotti
- Department of Agriculture, Food, Environment and Forest (DAGRI), University of Firenze, Florence, Italy
| | - Roberto Cazzolla Gatti
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Ricardo G César
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Goran Cesljar
- Department of Spatial Regulation, GIS and Forest Policy, Institute of Forestry, Belgrade, Serbia
| | - Robin L Chazdon
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
- Tropical Forests and People Research Centre, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Han Y H Chen
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada
| | - Chelsea Chisholm
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Hyunkook Cho
- Division of Forest Resources Information, Korea Forest Promotion Institute, Seoul, South Korea
| | - Emil Cienciala
- IFER - Institute of Forest Ecosystem Research, Jilove u Prahy, Czech Republic
- Global Change Research Institute CAS, Brno, Czech Republic
| | - Connie Clark
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - David Clark
- Department of Biology, University of Missouri-St. Louis, St. Louis, MO, USA
| | - Gabriel D Colletta
- Programa de Pós-graduação em Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, Brazil
| | - David A Coomes
- Conservation Research Institute, Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | | | - José J Corral-Rivas
- Facultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango, Mexico
| | - Philip M Crim
- Department of Biology, West Virginia University, Morgantown, WV, USA
- Department of Physical and Biological Sciences, The College of Saint Rose, Albany, NY, USA
| | | | - Selvadurai Dayanandan
- Biology Department, Centre for Structural and Functional Genomics, Concordia University, Montreal, Quebec, Canada
| | - André L de Gasper
- Natural Science Department, Universidade Regional de Blumenau, Blumenau, Brazil
| | | | - Géraldine Derroire
- Cirad, UMR EcoFoG (AgroParisTech, CNRS, INRAE, Université des Antilles, Université de la Guyane), Campus Agronomique, Kourou, French Guiana
| | - Ben DeVries
- Department of Geography, Environment and Geomatics, University of Guelph, Guelph, Ontario, Canada
| | | | - Jiri Dolezal
- Institute of Botany, The Czech Academy of Sciences, Třeboň, Czech Republic
- Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Aurélie Dourdain
- Cirad, UMR EcoFoG (AgroParisTech, CNRS, INRAE, Université des Antilles, Université de la Guyane), Campus Agronomique, Kourou, French Guiana
| | | | - Brian J Enquist
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
- The Santa Fe Institute, Santa Fe, NM, USA
| | - Teresa J Eyre
- Department of Environment and Science, Queensland Herbarium and Biodiversity Science, Toowong, Queensland, Australia
| | | | - Tom M Fayle
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, České Budějovice, Czech Republic
| | - Ted R Feldpausch
- Geography, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK
| | - Leandro V Ferreira
- Museu Paraense Emílio Goeldi, Coordenação de Ciências da Terra e Ecologia, Belém, Brazil
| | - Leena Finér
- Natural Resources Institute Finland (Luke), Joensuu, Finland
| | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | | | - Lorenzo Frizzera
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, Italy
| | - Damiano Gianelle
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, Italy
| | | | | | - Andrew Hector
- Department of Biology, University of Oxford, Oxford, UK
| | - Andreas Hemp
- Department of Plant Systematics, University of Bayreuth, Bayreuth, Germany
| | | | - Bruno Hérault
- Cirad, UPR Forêts et Sociétés, University of Montpellier, Montpellier, France
- Department of Forestry and Environment, National Polytechnic Institute (INP-HB), Yamoussoukro, Côte d'Ivoire
| | - John L Herbohn
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Annika Hillers
- Centre for Conservation Science, The Royal Society for the Protection of Birds, Sandy, UK
- Wild Chimpanzee Foundation, Liberia Office, Monrovia, Liberia
| | | | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa
- Theoretical Ecology Unit, African Institute for Mathematical Sciences, Cape Town, South Africa
| | - Thomas Ibanez
- AMAP, Univ. Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Nobuo Imai
- Department of Forest Science, Tokyo University of Agriculture, Tokyo, Japan
| | - Andrzej M Jagodziński
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
- Department of Game Management and Forest Protection, Poznań University of Life Sciences, Poznań, Poland
| | - Bogdan Jaroszewicz
- Faculty of Biology, Białowieża Geobotanical Station, University of Warsaw, Białowieża, Poland
| | - Vivian Kvist Johannsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Carlos A Joly
- Department of Plant Biology, Institute of Biology, University of Campinas, UNICAMP, Campinas, Brazil
| | - Tommaso Jucker
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Ilbin Jung
- Division of Forest Resources Information, Korea Forest Promotion Institute, Seoul, South Korea
| | - Viktor Karminov
- Forestry Faculty, Mytischi Branch of Bauman Moscow State Technical University, Mytischi, Russian Federation
| | - Kuswata Kartawinata
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, IL, USA
| | - Elizabeth Kearsley
- CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, Belgium
| | - David Kenfack
- CTFS-ForestGEO, Smithsonian Tropical Research Institute, Balboa, Panama
| | - Deborah K Kennard
- Department of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, CO, USA
| | - Sebastian Kepfer-Rojas
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Gunnar Keppel
- UniSA STEM and Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Mohammed Latif Khan
- Department of Botany, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar, India
| | - Timothy J Killeen
- Museo de Historia Natural Noel Kempff Mercado, Santa Cruz de la Sierra, Bolivia
| | - Hyun Seok Kim
- Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, South Korea
- Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, South Korea
- National Center for Agro Meteorology, Seoul, South Korea
- Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | | | - Michael Köhl
- Institute for World Forestry, University of Hamburg, Hamburg, Germany
| | - Henn Korjus
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Florian Kraxner
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Dmitry Kucher
- Peoples' Friendship University of Russia (RUDN University), Moscow, Russian Federation
| | - Diana Laarmann
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Mait Lang
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Huicui Lu
- Faculty of Forestry, Qingdao Agricultural University, Qingdao, China
| | - Natalia V Lukina
- Center for Forest Ecology and Productivity, Russian Academy of Sciences, Moscow, Russian Federation
| | - Brian S Maitner
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Eric Marcon
- AgroParisTech, UMR-AMAP, Cirad, CNRS, INRA, IRD, Université de Montpellier, Montpellier, France
| | | | - Ben Hur Marimon-Junior
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil
| | - Andrew R Marshall
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Department of Environment and Geography, University of York, York, UK
- Flamingo Land Ltd., Kirby Misperton, UK
| | - Emanuel H Martin
- Department of Wildlife Management, College of African Wildlife Management, Mweka, Tanzania
| | - Jorge A Meave
- Departamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Casimiro Mendoza
- Colegio de Profesionales Forestales de Cochabamba, Cochabamba, Bolivia
| | | | - Stanislaw Miscicki
- Department of Forest Management, Dendrometry and Forest Economics, Warsaw University of Life Sciences, Warsaw, Poland
| | - Cory Merow
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Abel Monteagudo Mendoza
- Jardín Botánico de Missouri, Oxapampa, Peru
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
| | - Vanessa S Moreno
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Sharif A Mukul
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Department of Environment and Development Studies, United International University, Dhaka, Bangladesh
| | - Philip Mundhenk
- Institute for World Forestry, University of Hamburg, Hamburg, Germany
| | - María Guadalupe Nava-Miranda
- Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Durango, Mexico
- Programa de Doctorado en Ingeniería para el Desarrollo Rural y Civil, Escuela de Doctorado Internacional de la Universidad de Santiago de Compostela (EDIUS), Santiago de Compostela, Spain
| | - David Neill
- Universidad Estatal Amazónica, Puyo, Ecuador
| | - Victor J Neldner
- Department of Environment and Science, Queensland Herbarium and Biodiversity Science, Toowong, Queensland, Australia
| | | | - Michael R Ngugi
- Department of Environment and Science, Queensland Herbarium and Biodiversity Science, Toowong, Queensland, Australia
| | - Pascal A Niklaus
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland
| | - Jacek Oleksyn
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
| | - Petr Ontikov
- Forestry Faculty, Mytischi Branch of Bauman Moscow State Technical University, Mytischi, Russian Federation
| | | | - Yude Pan
- Climate, Fire, and Carbon Cycle Sciences, USDA Forest Service, Durham, NH, USA
| | - Alain Paquette
- Centre for Forest Research, Université du Québec à Montréal, Montréal, Quebec, Canada
| | | | - Elena I Parfenova
- V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
| | - Minjee Park
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
- Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, South Korea
| | - Marc Parren
- Forest Ecology and Forest Management Group, Wageningen University & Research, Wageningen, The Netherlands
| | | | - Pablo L Peri
- Instituto Nacional de Tecnología Agropecuaria (INTA), Universidad Nacional de la Patagonia Austral (UNPA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Río Gallegos, Argentina
| | - Sebastian Pfautsch
- School of Social Sciences (Urban Studies), Western Sydney University, Penrith, New South Wales, Australia
| | | | | | - Daniel Piotto
- Laboratório de Dendrologia e Silvicultura Tropical, Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna, Brazil
| | | | | | - John R Poulsen
- Global Change Research Institute CAS, Brno, Czech Republic
- The Nature Conservancy, Boulder, CO, USA
| | - Hans Pretzsch
- Chair of Forest Growth and Yield Science, Department of Life Science Systems, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
- Sustainable Forest Management Research Institute (iuFOR), University Valladolid, Valladolid, Spain
| | | | - Zorayda Restrepo-Correa
- Servicios Ecosistémicos y Cambio Climático (SECC), Fundación Con Vida & Corporación COL-TREE, Medellín, Colombia
| | - Mirco Rodeghiero
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'adige, Italy
- Centro Agricoltura, Alimenti, Ambiente, University of Trento, San Michele All'adige, Italy
| | - Samir G Rolim
- Laboratório de Dendrologia e Silvicultura Tropical, Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna, Brazil
| | - Anand Roopsind
- Center for Natural Climate Solutions, Conservation International, Arlington, VA, USA
| | - Francesco Rovero
- Department of Biology, University of Florence, Florence, Italy
- Tropical Biodiversity Section, MUSE - Museo delle Scienze, Trento, Italy
| | | | - Purabi Saikia
- Department of Environmental Sciences, Central University of Jharkhand, Ranchi, India
| | - Christian Salas-Eljatib
- Vicerrectoría de Investigación y Postgrado, Universidad de La Frontera, Temuco, Chile
- Departamento de Gestión Forestal y su Medio Ambiente, Universidad de Chile, Santiago, Chile
| | | | - Peter Schall
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Göttingen, Germany
| | | | - Dmitry Schepaschenko
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
- Siberian Federal University, Krasnoyarsk, Russian Federation
| | | | - Bernhard Schmid
- Remote Sensing Laboratories, Department of Geography, University of Zürich, Zürich, Switzerland
| | | | - Eric B Searle
- Centre for Forest Research, Université du Québec à Montréal, Montréal, Quebec, Canada
| | - Vladimír Seben
- National Forest Centre, Forest Research Institute Zvolen, Zvolen, Slovakia
| | - Josep M Serra-Diaz
- Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, Denmark
| | - Douglas Sheil
- Forest Ecology and Forest Management Group, Wageningen University & Research, Wageningen, The Netherlands
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Anatoly Z Shvidenko
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | | | - Marcos Silveira
- Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre, Rio Branco, Brazil
| | - James Singh
- Guyana Forestry Commission, Georgetown, French Guiana
| | - Plinio Sist
- Cirad, UPR Forêts et Sociétés, University of Montpellier, Montpellier, France
| | - Ferry Slik
- Environmental and Life Sciences, Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei Darussalam
| | - Bonaventure Sonké
- Plant Systematic and Ecology Laboratory, Department of Biology, Higher Teachers' Training College, University of Yaoundé I, Yaoundé, Cameroon
| | - Alexandre F Souza
- Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | | | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO) & Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Miroslav Svoboda
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | | | | | - Nadja Tchebakova
- V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
| | - Hans Ter Steege
- Naturalis Biodiversity Center, Leiden, The Netherlands
- Quantitative Biodiversity Dynamics, Department of Biology, Utrecht University, Utrecht, The Netherlands
| | - Raquel Thomas
- Iwokrama International Centre for Rainforest Conservation and Development (IIC), Georgetown, French Guiana
| | - Elena Tikhonova
- Center for Forest Ecology and Productivity, Russian Academy of Sciences, Moscow, Russian Federation
| | - Peter M Umunay
- School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
| | - Vladimir A Usoltsev
- Botanical Garden of Ural Branch of Russian Academy of Sciences, Ural State Forest Engineering University, Yekaterinburg, Russian Federation
| | | | | | - Fons van der Plas
- Plant Ecology and Nature Conservation Group, Wageningen University, Wageningen, The Netherlands
| | - Tran Van Do
- Silviculture Research Institute, Vietnamese Academy of Forest Sciences, Hanoi, Vietnam
| | | | | | - Hans Verbeeck
- CAVElab - Computational & Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, Belgium
| | - Helder Viana
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, UTAD, Quinta de Prados, Vila Real, Portugal
- Agricultural High School, Polytechnic Institute of Viseu, IPV, Viseu, Portugal
| | - Alexander C Vibrans
- Natural Science Department, Universidade Regional de Blumenau, Blumenau, Brazil
- Department of Forest Engineering, Universidade Regional de Blumenau, Blumenau, Brazil
| | - Simone Vieira
- Environmental Studies and Research Center, University of Campinas, UNICAMP, Campinas, Brazil
| | - Klaus von Gadow
- Department of Forest and Wood Science, Stellenbosch University, Stellenbosch, South Africa
| | - Hua-Feng Wang
- Key Laboratory of Tropical Biological Resources, Ministry of Education, School of Life and Pharmaceutical Sciences, Hainan University, Haikou, China
| | - James V Watson
- Division of Forestry and Natural Resources, West Virginia University, Morgantown, WV, USA
| | | | - Susan K Wiser
- Manaaki Whenua - Landcare Research, Lincoln, New Zealand
| | - Florian Wittmann
- Department of Wetland Ecology, Institute of Geography and Geoecology, Karlsruhe Institute for Technology, Karlsruhe, Germany
| | | | - Verginia Wortel
- Centre for Agricultural Research in Suriname (CELOS), Paramaribo, Suriname
| | - Roderik Zagt
- Tropenbos International, Wageningen, The Netherlands
| | | | - Chunyu Zhang
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Xiuhai Zhao
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Mo Zhou
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Zhi-Xin Zhu
- Key Laboratory of Tropical Biological Resources, Ministry of Education, School of Life and Pharmaceutical Sciences, Hainan University, Haikou, China
| | - Irie C Zo-Bi
- Department of Forestry and Environment, National Polytechnic Institute (INP-HB), Yamoussoukro, Côte d'Ivoire
| | - George D Gann
- Society for Ecological Restoration (SER), Washington, DC, USA
| | - Thomas W Crowther
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland.
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Malyshev AV, Blume-Werry G, Spiller O, Smiljanić M, Weigel R, Kolb A, Nze BY, Märker F, Sommer FCFJ, Kinley K, Ziegler J, Pasang P, Mahara R, Joshi S, Heinsohn V, Kreyling J. Warming nondormant tree roots advances aboveground spring phenology in temperate trees. THE NEW PHYTOLOGIST 2023; 240:2276-2287. [PMID: 37897071 DOI: 10.1111/nph.19304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 09/07/2023] [Indexed: 10/29/2023]
Abstract
Climate warming advances the onset of tree growth in spring, but above- and belowground phenology are not always synchronized. These differences in growth responses may result from differences in root and bud dormancy dynamics, but root dormancy is largely unexplored. We measured dormancy in roots and leaf buds of Fagus sylvatica and Populus nigra by quantifying the warming sum required to initiate above- and belowground growth in October, January and February. We furthermore carried out seven experiments, manipulating only the soil and not air temperature before or during tree leaf-out to evaluate the potential of warmer roots to influence budburst timing using seedlings and adult trees of F. sylvatica and seedlings of Betula pendula. Root dormancy was virtually absent in comparison with the much deeper winter bud dormancy. Roots were able to start growing immediately as soils were warmed during the winter. Interestingly, higher soil temperature advanced budburst across all experiments, with soil temperature possibly accounting for c. 44% of the effect of air temperature in advancing aboveground spring phenology per growing degree hour. Therefore, differences in root and bud dormancy dynamics, together with their interaction, likely explain the nonsynchronized above- and belowground plant growth responses to climate warming.
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Affiliation(s)
- Andrey V Malyshev
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Gesche Blume-Werry
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
- Department of Ecology and Environmental Science, Umeå Universitet, Umea, 90187, Sweden
| | - Ophelia Spiller
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Marko Smiljanić
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Robert Weigel
- Plant Ecology and Ecosystems Research, University of Goettingen, 37073, Göttingen, Germany
- Ecological-Botanical Garden, University of Bayreuth, 95447, Bayreuth, Germany
| | - Alexander Kolb
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Byron Ye Nze
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Frederik Märker
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | | | - Kinley Kinley
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
- Ecological-Botanical Garden, University of Bayreuth, 95447, Bayreuth, Germany
| | - Jan Ziegler
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
- Swiss Federal Research Institute WSL, Birmensdorf, CH-8903, Switzerland
| | - Pasang Pasang
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Robert Mahara
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
- Department of Forest and Park Services, Thimphu, 1345, Bhutan
| | - Silviya Joshi
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Vincent Heinsohn
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - Juergen Kreyling
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
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13
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Zhao C, Liu J, Mou W, Zhao W, Zhou Z, Ta F, Lei L, Li C. Topography shapes the carbon allocation patterns of alpine forests. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165542. [PMID: 37454841 DOI: 10.1016/j.scitotenv.2023.165542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023]
Abstract
Topography plays a crucial role in determining the structure of alpine forests, as it restricts the availability of nutrients and water necessary for plant growth. Nevertheless, our information on how variations in forest carbon allocation patterns driven by fine-scale topography are influenced by broader-scale environmental contexts is limited. In the northern Tibetan Plateau, we combined field data from 89 forest plots with a high-resolution (1 m2) digital elevation model (DEM) and utilized a linear mixed-effects model to investigate how microtopography (characterized by slope, aspect, and topographic wetness index (TWI)) and broader-scale environmental context (characterized by elevation) and their interactions affect the carbon allocation patterns of alpine forest. Our results revealed that at low and high elevations with pronounced subsurface resource limitations, plants tend to allocate a higher proportion of carbon to the root system and have lower aboveground carbon stocks (ACS). Microtopographic heterogeneity significantly influenced the carbon allocation patterns of forest, with the intensity and direction of these effects varying across the environmental gradient. At low elevations, topographically wetter and northerly microhabitats had higher ACS and lower ratios of below- and aboveground carbon stocks (RBA); however, at high elevations, topographically drier and southerly microhabitats had higher ACS and lower RBA. TWI and aspect had the weakest effect on ACS and RBA in the mid-elevations. The relationship between slope and ACS and RBA was significantly positive but not evidently related to the broader-scale environmental gradient.
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Affiliation(s)
- Changxing Zhao
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Jinrong Liu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China.
| | - Wenbo Mou
- State Key Laboratory of Grassland Agro-ecosystems, School of Life Science, Lanzhou University, Lanzhou 730000, China
| | - Weijun Zhao
- Academy of Water Resources Conservation Forests in Qilian Mountains of Gansu Province, Zhangye 734000, China
| | - Ziqiang Zhou
- Institute of Geological Natural Disaster Prevention and Control, Gansu Academy of Sciences, Lanzhou 730030, China
| | - Feng Ta
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Longju Lei
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Chaonan Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China
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14
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Li H, Terrer C, Berdugo M, Maestre FT, Zhu Z, Peñuelas J, Yu K, Luo L, Gong JY, Ye JS. Nitrogen addition delays the emergence of an aridity-induced threshold for plant biomass. Natl Sci Rev 2023; 10:nwad242. [PMID: 37900195 PMCID: PMC10600907 DOI: 10.1093/nsr/nwad242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 09/05/2023] [Accepted: 09/11/2023] [Indexed: 10/31/2023] Open
Abstract
Crossing certain aridity thresholds in global drylands can lead to abrupt decays of ecosystem attributes such as plant productivity, potentially causing land degradation and desertification. It is largely unknown, however, whether these thresholds can be altered by other key global change drivers known to affect the water-use efficiency and productivity of vegetation, such as elevated CO2 and nitrogen (N). Using >5000 empirical measurements of plant biomass, we showed that crossing an aridity (1-precipitation/potential evapotranspiration) threshold of ∼0.50, which marks the transition from dry sub-humid to semi-arid climates, led to abrupt declines in aboveground biomass (AGB) and progressive increases in root:shoot ratios, thus importantly affecting carbon stocks and their distribution. N addition significantly increased AGB and delayed the emergence of its aridity threshold from 0.49 to 0.55 (P < 0.05). By coupling remote sensing estimates of leaf area index with simulations from multiple models, we found that CO2 enrichment did not alter the observed aridity threshold. By 2100, and under the RCP 8.5 scenario, we forecast a 0.3% net increase in the global land area exceeding the aridity threshold detected under a scenario that includes N deposition, in comparison to a 2.9% net increase if the N effect is not considered. Our study thus indicates that N addition could mitigate to a great extent the negative impact of increasing aridity on plant biomass in drylands. These findings are critical for improving forecasts of abrupt vegetation changes in response to ongoing global environmental change.
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Affiliation(s)
- Hailing Li
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - César Terrer
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Miguel Berdugo
- Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef,” Universidad de Alicante, Alicante 03690, Spain
- Institut de Biologia Evolutiva (CSIC-UPF), Barcelona08003, Spain
| | - Fernando T Maestre
- Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef,” Universidad de Alicante, Alicante 03690, Spain
- Departamento de Ecología, Universidad de Alicante, Alicante 03690, Spain
| | - Zaichun Zhu
- School of Urban Planning and Design, Peking University Shenzhen Graduate School, Peking University, Shenzhen518055, China
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Barcelona 08193, Spain
- CREAF, Cerdanyola del Vallès, Barcelona 08193, Spain
| | - Kailiang Yu
- High Meadows Environmental Institute, Princeton University, Princeton, NJ 08544, USA
| | - Lin Luo
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Jie-Yu Gong
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
| | - Jian-Sheng Ye
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou730000, China
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15
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Maure LA, Diniz MF, Pacheco Coelho MT, Molin PG, Rodrigues da Silva F, Hasui E. Biodiversity and carbon conservation under the ecosystem stability of tropical forests. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 345:118929. [PMID: 37690251 DOI: 10.1016/j.jenvman.2023.118929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 09/12/2023]
Abstract
Although efforts to protect high levels of biodiversity and carbon storage can greatly increase the effectiveness of species loss and climate change mitigation, there is evidence indicating a trade-off scenario for their conservation at regional scale. Decisions making in trade-off scenarios can be supported by including information on the ecosystem stability of tropical forests (i.e., the ability of the ecosystem to maintain its function over time). Forest stability may affect biodiversity integrity and the residence time of carbon stored in tree biomass. Here, we assess the stability of old-growth forests' productivity by analyzing a 19-year time series of the Normalized Difference Vegetation Index (NDVI). We also used geoprocessing tools to analyze the overlap among forest-specialist vertebrate species richness, carbon density, and stability of old-growth forest throughout the Brazilian Atlantic Forest. We used model selection to find environmental predictors of the stability of primary productivity and build a predictive map of potential stability. Then, we overlapped maps of potential stability, species richness of forest-specialist vertebrates, and carbon density to identify hotspot areas of biodiversity and carbon density occurring at highest and lowest potential stability. We found that forest stability increases from north to south along the Atlantic Forest. High biodiversity occurs mainly at low stability while high carbon stock at high stability. Spatial overlap of the hotspots, where conservation co-benefits high biodiversity and carbon stock, occurs mostly at high stability in a large area along part of the coast and in smaller inland areas of the southern region. Most of the hotspots with low stability for biodiversity, carbon stock and combination of both are found in unprotected areas. Hence, the strategic mitigation of species loss and carbon emissions lies in three approaches: prioritizing forest protection in unprotected hotspots; implementing forest management practices in protected hotspots with low stability; and enforcing a comprehensive regime of protection and management in hotspots that exhibit low stability. Focused on forest stability, these approaches involve ecosystem-based planning offering Brazil's government effective strategies to fulfill its commitments in biodiversity conservation and carbon emission reduction.
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Affiliation(s)
- Lucas Andrigo Maure
- Programa de Pós-graduação Em Ecologia e Recursos Naturais (PPGERN), Universidade Federal de São Carlos, São Carlos, SP, Brazil; Laboratório de Ecologia Teórica: Integrando Tempo, Biologia e Espaço (LET.IT.BE), Departamento de Ciências Ambientais, Universidade Federal de São Carlos, Sorocaba, SP, Brazil
| | - Milena Fiuza Diniz
- Departamento de Ecologia, Universidade Federal de Goiás, Goânia, GO, Brazil
| | | | - Paulo Guilherme Molin
- Centro de Ciências da Natureza, Universidade Federal de São Carlos, Buri, SP, Brazil
| | - Fernando Rodrigues da Silva
- Laboratório de Ecologia Teórica: Integrando Tempo, Biologia e Espaço (LET.IT.BE), Departamento de Ciências Ambientais, Universidade Federal de São Carlos, Sorocaba, SP, Brazil
| | - Erica Hasui
- Laboratório de Ecologia de Fragmentos (EcoFrag), Instituto de Ciências da Natureza, Universidade Federal de Alfenas-MG, Brazil.
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16
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Ma H, Crowther TW, Mo L, Maynard DS, Renner SS, van den Hoogen J, Zou Y, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Niinemets Ü, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Valverde FC, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Fridman J, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTF, Piotto D, Pitman NCA, Mendoza-Polo I, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miścicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Westerlund B, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, Zohner CM. The global biogeography of tree leaf form and habit. NATURE PLANTS 2023; 9:1795-1809. [PMID: 37872262 PMCID: PMC10654052 DOI: 10.1038/s41477-023-01543-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 09/18/2023] [Indexed: 10/25/2023]
Abstract
Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling.
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Affiliation(s)
- Haozhi Ma
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland.
| | - Thomas W Crowther
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Lidong Mo
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Daniel S Maynard
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
- Department of Genetics, Evolution, and Environment, University College London, London, United Kingdom
| | - Susanne S Renner
- Department of Biology, Washington University, Saint Louis, MO, USA
| | - Johan van den Hoogen
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Yibiao Zou
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Jingjing Liang
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Sergio de-Miguel
- Department of Agricultural and Forest Sciences and Engineering, University of Lleida, Lleida, Spain
- Joint Research Unit CTFC - AGROTECNIO - CERCA, Solsona, Spain
| | | | - Peter B Reich
- Department of Forest Resources, University of Minnesota, St. Paul, MN, USA
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
- Institute for Global Change Biology, and School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA
| | - Ülo Niinemets
- Chair of Crop Science and Plant Biology, Estonian University of Life Sciences, Tartu, Estonia
| | - Meinrad Abegg
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | - Yves C Adou Yao
- UFR Biosciences, University Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire
| | - Giorgio Alberti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Angelica M Almeyda Zambrano
- Spatial Ecology and Conservation Laboratory, Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, FL, USA
| | | | | | | | - Luciana F Alves
- Center for Tropical Research, Institute of the Environment and Sustainability, UCLA, Los Angeles, CA, USA
| | - Christian Ammer
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Göttingen, Germany
| | - Clara Antón-Fernández
- Division of Forest and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
| | | | - Luzmila Arroyo
- Museo de Historia natural Noel kempff Mercado, Santa Cruz, Bolivia
| | | | - Gerardo A Aymard
- UNELLEZ-Guanare, Programa de Ciencias del Agro y el Mar, Herbario Universitario (PORT), Portuguesa, Venezuela
- Compensation International S. A. Ci Progress-GreenLife, Bogotá, D.C., Colombia
| | | | - Radomir Bałazy
- Department of Geomatics, Forest Research Institute, Raszyn, Poland
| | - Olaf Banki
- Naturalis Biodiversity Center, Leiden, the Netherlands
| | - Jorcely G Barroso
- Centro Multidisciplinar, Universidade Federal do Acre, Rio Branco, Brazil
| | - Meredith L Bastian
- Proceedings of the National Academy of Sciences, Washington, DC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Jean-Francois Bastin
- TERRA Teach and Research Centre, Gembloux Agro Bio-Tech, University of Liege, Liege, Belgium
| | | | - Philippe Birnbaum
- Institut Agronomique néo-Calédonien (IAC), Nouméa, New Caledonia
- AMAP, Univ. Montpellier, Montpellier, France
- CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Robert Bitariho
- Institute of Tropical Forest Conservation, Mbarara University of Sciences and Technology, Mbarara, Uganda
| | - Pascal Boeckx
- Isotope Bioscience Laboratory - ISOFYS, Ghent University, Ghent, Belgium
| | - Frans Bongers
- Wageningen University and Research, Wageningen, the Netherlands
| | | | - Pedro H S Brancalion
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Francis Q Brearley
- Department of Natural Sciences, Manchester Metropolitan University, Manchester, UK
| | - Roel Brienen
- School of Geography, University of Leeds, Leeds, UK
| | - Eben N Broadbent
- Spatial Ecology and Conservation Laboratory, Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, FL, USA
| | - Helge Bruelheide
- Institute of Biology, Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle-Wittenberg, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Filippo Bussotti
- Department of Agriculture, Food, Environment and Forest (DAGRI), University of Firenze, Florence, Italy
| | - Roberto Cazzolla Gatti
- Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Ricardo G César
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Goran Cesljar
- Department of Spatial Regulation GIS and Forest Policy, Institute of Forestry, Belgrade, Serbia
| | - Robin Chazdon
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
- Tropical Forest and People Research Centre, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Han Y H Chen
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada
| | - Chelsea Chisholm
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
| | - Hyunkook Cho
- Division of Forest Resources Information, Korea Forest Promotion Institute, Seoul, South Korea
| | - Emil Cienciala
- IFER - Institute of Forest Ecosystem Research, Jilove u Prahy, Czech Republic
- Global Change Research Institute CAS, Brno, Czech Republic
| | - Connie Clark
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - David Clark
- Department of Biology, University of Missouri-St Louis, St. Louis, MO, USA
| | - Gabriel D Colletta
- Programa de Pós-graduação em Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, Brazil
| | - David A Coomes
- Department of Plant Sciences and Conservation Research Institute, University of Cambridge, Cambridge, UK
| | | | - José J Corral-Rivas
- Facultad de Ciencias Forestales y Ambientales, Universidad Juárez del Estado de Durango, Durango, Mexico
| | - Philip M Crim
- Department of Biology, West Virginia University, Morgantown, WV, USA
- Department of Physical and Biological Sciences, The College of Saint Rose, Albany, NY, USA
| | | | - Selvadurai Dayanandan
- Biology Department, Centre for Structural and Functional Genomics, Concordia University, Montreal, Quebec, Canada
| | - André L de Gasper
- Natural Science Department, Universidade Regional de Blumenau, Blumenau, Brazil
| | | | - Géraldine Derroire
- Cirad, UMR EcoFoG (AgroParisTech, CNRS, INRAE, Université des Antilles Université de la Guyane), Campus Agronomique, Kourou, French Guiana
| | - Ben DeVries
- Department of Geography, Environment and Geomatics, University of Guelph, Guelph, Ontario, Canada
| | | | - Jiri Dolezal
- Institute of Botany, The Czech Academy of Sciences, Třeboň, Czech Republic
- Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Aurélie Dourdain
- Cirad, UMR EcoFoG (AgroParisTech, CNRS, INRAE, Université des Antilles Université de la Guyane), Campus Agronomique, Kourou, French Guiana
| | | | - Brian J Enquist
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
- The Santa Fe Institute, Santa Fe, NM, USA
| | - Teresa J Eyre
- Queensland Herbarium and Biodiversity Science, Department of Environment and Science, Toowong, Queensland, Australia
| | | | - Tom M Fayle
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
| | - Ted R Feldpausch
- Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
| | - Leandro V Ferreira
- Museu Paraense Emílio Goeldi. Coordenação de Ciências da Terra e Ecologia, Belém, Pará, Brasil
| | - Leena Finér
- Natural Resources Institute Finland (Luke), Joensuu, Finland
| | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | | | - Jonas Fridman
- Department of Forest Resource Management, Swedish University of Agricultural Sciences SLU, Umea, Sweden
| | - Lorenzo Frizzera
- Research and Innovation Center, Fondazione Edmund Mach, San Michele All'adige, Italy
| | - Javier G P Gamarra
- Forestry Division, Food and Agriculture Organization of the United Nations, Rome, Italy
| | - Damiano Gianelle
- Research and Innovation Center, Fondazione Edmund Mach, San Michele All'adige, Italy
| | | | | | - Andrew Hector
- Department of Biology, University of Oxford, Oxford, UK
| | - Andreas Hemp
- Department of Plant Systematics, University of Bayreuth, Bayreuth, Germany
| | | | - Bruno Hérault
- Cirad, UPR Forêts et Sociétés, University of Montpellier, Montpellier, France
- Department of Forestry and Environment, National Polytechnic Institute (INP-HB), Yamoussoukro, Côte d'Ivoire
| | - John L Herbohn
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Martin Herold
- Helmholtz GFZ German Research Centre for Geosciences, Remote Sensing and Geoinformatics Section, Telegrafenberg, Potsdam, Germany
| | - Annika Hillers
- Centre for Conservation Science, The Royal Society for the Protection of Birds, Sandy, UK
- Wild Chimpanzee Foundation, Liberia Office, Monrovia, Liberia
| | | | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa
- Theoretical Ecology Unit, African Institute for Mathematical Sciences, Cape Town, South Africa
| | - Thomas T Ibanez
- AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Iêda Amaral
- National Institute of Amazonian Research, Manaus, Brazil
| | - Nobuo Imai
- Department of Forest Science, Tokyo University of Agriculture, Tokyo, Japan
| | - Andrzej M Jagodziński
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
- Department of Game Management and Forest Protection, Poznań University of Life Sciences, Poznań, Poland
| | - Bogdan Jaroszewicz
- Faculty of Biology, Białowieża Geobotanical Station, University of Warsaw, Białowieża, Poland
| | - Vivian Kvist Johannsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Carlos A Joly
- Department of Plant Biology, Institute of Biology, University of Campinas, UNICAMP, Campinas, Brazil
| | - Tommaso Jucker
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Ilbin Jung
- Division of Forest Resources Information, Korea Forest Promotion Institute, Seoul, South Korea
| | - Viktor Karminov
- Forestry Faculty, Mytischi Branch of Bauman Moscow State Technical University, Mytischi, Russian Federation
| | - Kuswata Kartawinata
- Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, IL, USA
| | - Elizabeth Kearsley
- CAVElab-Computational and Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, Belgium
| | - David Kenfack
- CTFS-ForestGEO, Smithsonian Tropical Research Institute, Balboa, Panama
| | - Deborah K Kennard
- Department of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, CO, USA
| | - Sebastian Kepfer-Rojas
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Gunnar Keppel
- UniSA STEM and Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Mohammed Latif Khan
- Department of Botany, Dr Harisingh Gour Vishwavidyalaya (A Central University), Sagar, India
| | | | - Hyun Seok Kim
- Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, South Korea
- Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, South Korea
- National Center for Agro Meteorology, Seoul, South Korea
- Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | | | - Michael Köhl
- Institute for World Forestry, University of Hamburg, Hamburg, Germany
| | - Henn Korjus
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Florian Kraxner
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Dmitry Kucher
- Peoples Friendship University of Russia (RUDN University), Moscow, Russian Federation
| | - Diana Laarmann
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Mait Lang
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Simon L Lewis
- School of Geography, University of Leeds, Leeds, UK
- Department of Geography, University College London, London, UK
| | - Huicui Lu
- Faculty of Forestry, Qingdao Agricultural University, Qingdao, China
| | - Natalia V Lukina
- Center for Forest Ecology and Productivity, Russian Academy of Sciences, Moscow, Russian Federation
| | - Brian S Maitner
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Yadvinder Malhi
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Eric Marcon
- AgroParisTech, UMR-AMAP, Cirad, CNRS, INRA, IRD, Université de Montpellier, Montpellier, France
| | | | - Ben Hur Marimon-Junior
- Departamento de Ciências Biológicas, Universidade do Estado de Mato Grosso, Nova Xavantina, Brazil
| | - Andrew R Marshall
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Department of Environment and Geography, University of York, York, UK
- Flamingo Land Ltd, Kirby Misperton, UK
| | - Emanuel H Martin
- Department of Wildlife Management, College of African Wildlife Management, Mweka, Tanzania
| | - Jorge A Meave
- Departamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | | | - Casimiro Mendoza
- Colegio de Profesionales Forestales de Cochabamba, Cochabamba, Bolivia
| | - Cory Merow
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Abel Monteagudo Mendoza
- Jardín Botánico de Missouri, Pasco, Peru
- Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru
| | - Vanessa S Moreno
- Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Sharif A Mukul
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Department of Environment and Development Studies, United International University, Dhaka, Bangladesh
| | - Philip Mundhenk
- Institute for World Forestry, University of Hamburg, Hamburg, Germany
| | - María Guadalupe Nava-Miranda
- Instituto de Silvicultura e Industria de la Madera, Universidad Juárez del Estado de Durango, Durango, Mexico
- Programa de doctorado en Ingeniería para el desarrollo rural y civil, Escuela de Doctorado Internacional de la Universidad de Santiago de Compostela (EDIUS), Santiago de Compostela, Spain
| | - David Neill
- Universidad Estatal Amazónica, Puyo, Pastaza, Ecuador
| | - Victor J Neldner
- Queensland Herbarium and Biodiversity Science, Department of Environment and Science, Toowong, Queensland, Australia
| | | | - Michael R Ngugi
- Queensland Herbarium and Biodiversity Science, Department of Environment and Science, Toowong, Queensland, Australia
| | - Pascal A Niklaus
- Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zurich, Switzerland
| | - Jacek Oleksyn
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
| | - Petr Ontikov
- Forestry Faculty, Mytischi Branch of Bauman Moscow State Technical University, Mytischi, Russian Federation
| | | | - Yude Pan
- Climate, Fire, and Carbon Cycle Sciences, USDA Forest Service, Durham, NC, USA
| | - Alain Paquette
- Centre for Forest Research, Université du Québec à Montréal, Montréal, Québec, Canada
| | | | - Elena I Parfenova
- V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
| | - Minjee Park
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
- Department of Agriculture, Forestry and Bioresources, Seoul National University, Seoul, South Korea
| | - Marc Parren
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, the Netherlands
| | | | - Pablo L Peri
- Instituto Nacional de Tecnología Agropecuaria (INTA), Universidad Nacional de la Patagonia Austral (UNPA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Río Gallegos, Argentina
| | - Sebastian Pfautsch
- School of Social Sciences (Urban Studies), Western Sydney University, Penrith, New South Wales, Australia
| | | | | | | | - Daniel Piotto
- Laboratório de Dendrologia e Silvicultura Tropical, Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna, Brazil
| | | | | | | | - John R Poulsen
- Nicholas School of the Environment, Duke University, Durham, NC, USA
- The Nature Conservancy, Boulder, CO, USA
| | - Hans Pretzsch
- Chair for Forest Growth and Yield Science, Department of Life Science Systems, TUM School for Life Sciences, Technical University of Munich, Freising, Germany
- Sustainable Forest Management Research Institute iuFOR, University Valladolid, Valladolid, Spain
| | | | - Zorayda Restrepo-Correa
- Servicios Ecosistémicos y Cambio Climático (SECC), Fundación Con Vida and Corporación COL-TREE, Medellín, Colombia
| | - Mirco Rodeghiero
- Research and Innovation Center, Fondazione Edmund Mach, San Michele All'adige, Italy
- Centro Agricoltura, Alimenti, Ambiente, University of Trento, San Michele All'adige, Italy
| | - Samir G Rolim
- Laboratório de Dendrologia e Silvicultura Tropical, Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna, Brazil
| | - Anand Roopsind
- Center for Natural Climate Solutions, Conservation International, Arlington, VA, USA
| | - Francesco Rovero
- Department of Biology, University of Florence, Florence, Italy
- Tropical Biodiversity, MUSE - Museo delle Scienze, Trento, Italy
| | | | - Purabi Saikia
- Department of Environmental Sciences, Central University of Jharkhand, Ranchi, Jharkhand, India
| | - Christian Salas-Eljatib
- Centro de Modelación y Monitoreo de Ecosistemas, Universidad Mayor, Santiago, Chile
- Vicerrectoría de Investigación y Postgrado, Universidad de La Frontera, Temuco, Chile
- Departamento de Silvicultura y Conservación de la Naturaleza, Universidad de Chile, Temuco, Chile
| | | | - Peter Schall
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Göttingen, Germany
| | | | - Dmitry Schepaschenko
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
- Siberian Federal University, Krasnoyarsk, Russian Federation
| | | | - Bernhard Schmid
- Department of Geography, Remote Sensing Laboratories, University of Zürich, Zurich, Switzerland
| | | | - Eric B Searle
- Centre for Forest Research, Université du Québec à Montréal, Montréal, Québec, Canada
| | - Vladimír Seben
- National Forest Centre, Forest Research Institute Zvolen, Zvolen, Slovakia
| | - Josep M Serra-Diaz
- Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus, Denmark
| | - Douglas Sheil
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, the Netherlands
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Anatoly Z Shvidenko
- Biodiversity and Natural Resources Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | | | - Marcos Silveira
- Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre, Rio Branco, Acre, Brazil
| | - James Singh
- Guyana Forestry Commission, Georgetown, French Guiana
| | - Plinio Sist
- Cirad, UPR Forêts et Sociétés, University of Montpellier, Montpellier, France
| | - Ferry Slik
- Environmental and Life Sciences, Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei Darussalam
| | - Bonaventure Sonké
- Plant Systematic and Ecology Laboratory, Department of Biology, Higher Teachers' Training College, University of Yaoundé I, Yaoundé, Cameroon
| | - Alexandre F Souza
- Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Stanislaw Miścicki
- Department of Forest Management, Dendrometry and Forest Economics, Warsaw University of Life Sciences, Warsaw, Poland
| | | | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO) & Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark
| | - Miroslav Svoboda
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, Czech Republic
| | | | | | - Nadja Tchebakova
- V. N. Sukachev Institute of Forest, FRC KSC, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
| | - Hans Ter Steege
- Naturalis Biodiversity Center, Leiden, the Netherlands
- Quantitative Biodiversity Dynamics, Department of Biology, Utrecht University, Utrecht, the Netherlands
| | - Raquel Thomas
- Iwokrama International Centre for Rainforest Conservation and Development (IIC), Georgetown, French Guiana
| | - Elena Tikhonova
- Center for Forest Ecology and Productivity, Russian Academy of Sciences, Moscow, Russian Federation
| | - Peter M Umunay
- School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
| | - Vladimir A Usoltsev
- Botanical Garden of Ural Branch of Russian Academy of Sciences, Ural State Forest Engineering University, Yekaterinburg, Russian Federation
| | | | | | - Fons van der Plas
- Plant Ecology and Nature Conservation Group, Wageningen University, Wageningen, the Netherlands
| | - Tran Van Do
- Silviculture Research Institute, Vietnamese Academy of Forest Sciences, Hanoi, Vietnam
| | | | | | - Hans Verbeeck
- CAVElab-Computational and Applied Vegetation Ecology, Department of Environment, Ghent University, Ghent, Belgium
| | - Helder Viana
- Agricultural High School, ESAV, Polytechnic Institute of Viseu, IPV, Viseu, Portugal
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, UTAD, Quinta de Prados, Vila Real, Portugal
| | - Alexander C Vibrans
- Natural Science Department, Universidade Regional de Blumenau, Blumenau, Brazil
- Department of Forest Engineering, Universidade Regional de Blumenau, Blumenau, Brazil
| | - Simone Vieira
- Environmental Studies and Research Center, University of Campinas, UNICAMP, Campinas, Brazil
| | - Klaus von Gadow
- Department of Forest and Wood Science, University of Stellenbosch, Stellenbosch, South Africa
| | - Hua-Feng Wang
- Key Laboratory of Tropical Biological Resources, Ministry of Education, School of Life and Pharmaceutical Sciences, Hainan University, Haikou, China
| | - James V Watson
- Division of Forestry and Natural Resources, West Virginia University, Morgantown, WV, USA
| | | | - Bertil Westerlund
- Department of Forest Resource Management, Swedish University of Agricultural Sciences SLU, Umea, Sweden
| | - Susan K Wiser
- Manaaki Whenua-Landcare Research, Lincoln, New Zealand
| | - Florian Wittmann
- Department of Wetland Ecology, Institute for Geography and Geoecology, Karlsruhe Institute for Technology, Karlsruhe, Germany
| | - Hannsjoerg Woell
- Independent Researcher, Sommersbergseestrasse, Bad Aussee, Austria
| | - Verginia Wortel
- Centre for Agricultural Research in Suriname (CELOS), Paramaribo, Suriname
| | - Roderick Zagt
- Tropenbos International, Wageningen, the Netherlands
| | | | - Chunyu Zhang
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Xiuhai Zhao
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Mo Zhou
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Zhi-Xin Zhu
- Key Laboratory of Tropical Biological Resources, Ministry of Education, School of Life and Pharmaceutical Sciences, Hainan University, Haikou, China
| | - Irie C Zo-Bi
- Department of Forestry and Environment, National Polytechnic Institute (INP-HB), Yamoussoukro, Côte d'Ivoire
| | - Constantin M Zohner
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
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Rahman IU, Hart RE, Afzal A, Iqbal Z, Bussmann RW, Ijaz F, Khan MA, Ali H, Rahman SU, Hashem A, Abd-Allah EF, Sher A, Calixto ES. Vegetation-environment interactions: plant species distribution and community assembly in mixed coniferous forests of Northwestern Himalayas. Sci Rep 2023; 13:17228. [PMID: 37821469 PMCID: PMC10567734 DOI: 10.1038/s41598-023-42272-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/07/2023] [Indexed: 10/13/2023] Open
Abstract
One of the main goals of ecological studies is to disentangle the dynamics that underlie the spatiotemporal distribution of biodiversity and further functions of the ecosystem. However, due to many ecological and geopolitical reasons, many remote areas with high plant species diversity have not been assessed using newly based analytical approaches for vegetation characterization. Here, we classified and characterized different vegetation types (i.e., major plant communities) based on indicator species and on the influence of different environmental gradients in the Himalayan mixed coniferous forest, Pakistan. For that, we addressed the following questions: Does the vegetation composition of the Himalayan mixed coniferous forest correlate with climatic, topographic, geographic, and edaphic variables? Is it possible to identify plant communities through indicator species in relation to environmental gradients using multivariate approaches? Can this multivariate be helpful for conservation planning? During four consecutive years we assessed the vegetation composition and environmental variables (21 variables divided in geographic, climatic, topographic, and edaphic groups) of 156 50 m-trasects between an elevation of 2000-4000 m. Using newly based analytical approaches for community characterization, we found a total of 218 plant species clustered into four plant communities with the influence of environmental gradients. The highest index of similarity was recorded between Pinus-Cedrus-Viburnum (PCV) and Viburnum-Pinus-Abies (VPA) communities, and the highest index of dissimilarity was recorded between PCV and Abies-Juniperus-Picea (AJP) communities. Among these four communities, highest number of plant species (156 species) was recorded in PCV, maximum alpha diversity (H' = 3.68) was reported in VPA, highest Simpson index (0.961) and Pielou's evenness (0.862) were reported in VPA and AJP. The edaphic gradients (i.e., organic matter, phosphorous, pH and soil texture) and climatic factors (temperature, humidity) were the strongest environmental gradients that were responsible for structuring and hosting the diverse plant communities in mixed coniferous forest. Finally, the Himalayan mixed coniferous structure is more influenced by the spatial turnover beta-diversity process (βsim) than by the species loss (nestedness-resultant, βsne). Our analysis of the vegetation structure along the environmental gradient in the Himalayan mixed coniferous forest supported by sophisticated analytical approaches reveled indicator species groups, which are associated to specific microclimatic zones (i.e., vegetation communities). Within this focus, we side with the view that these results can support conservation planning and management for similar and different areas providing mitigating and preventive measures to reduce potential negative impacts, such as anthropic and climatic.
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Affiliation(s)
- Inayat Ur Rahman
- Department of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan.
- William L. Brown Center, Missouri Botanical Garden, P.O. Box 299, St. Louis, MO, 63166-0299, USA.
- Department of Botany, Khushal Khan Khattak University, Karak, 27200, KP, Pakistan.
| | - Robbie E Hart
- William L. Brown Center, Missouri Botanical Garden, P.O. Box 299, St. Louis, MO, 63166-0299, USA
| | - Aftab Afzal
- Department of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan.
| | - Zafar Iqbal
- Department of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan
| | - Rainer W Bussmann
- Department of Ethnobotany, Institute of Botany, Ilia State University, 1 Botanical Street, 0105, Tbilisi, Georgia
- Department of Botany, State Museum of Natural History, Karlsruhe, Germany
| | - Farhana Ijaz
- Department of Botany, Hazara University, Mansehra, 21300, Khyber Pakhtunkhwa, Pakistan
| | - Muazzam Ali Khan
- Department of Botany, Bacha Khan University, Charsadda, 24460, KP, Pakistan
| | - Hamid Ali
- Department of Biotechnology and Genetic Engineering, Hazara University, Mansehra, 21300, KP, Pakistan
| | - Siddiq Ur Rahman
- Department of Computer Science and Bioinformatics, Khushal Khan Khattak University, Karak, 27200, KP, Pakistan
| | - Abeer Hashem
- Botany and Microbiology Department, College of Science, King Saud University, P.O. Box. 2460, 11451, Riyadh, Saudi Arabia
| | - Elsayed Fathi Abd-Allah
- Department of Plant Production, College of Food and Agriculture Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Ali Sher
- Department of Agriculture, Bacha Khan University, Charsadda, KP, Pakistan
| | - Eduardo Soares Calixto
- Department of Biology, University of Missouri St. Louis (UMSL), Saint Louis, MO, USA
- Entomology and Nematology Department, University of Florida, Gainesville, FL, USA
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18
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Robinson D. OPT-ing out: Root-shoot dynamics are caused by local resource capture and biomass allocation, not optimal partitioning. PLANT, CELL & ENVIRONMENT 2023; 46:3023-3039. [PMID: 36285352 DOI: 10.1111/pce.14470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 10/11/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Combining plant growth analysis with a simple model of local resource capture and biomass allocation applied to exemplary experimental data, showed that dynamic changes in allocation to roots when nutrients are scarce is caused by disparities in growth rates between roots and shoots. Whole-plant growth rates also change but are not caused by an adaptive allocation response. Allocation and whole-plant growth rate are interdependent, not independent, traits. Following a switch in nutrient availability or partial biomass removal, convergence of allocation and growth rate trajectories does not reflect goal-seeking behaviour, but the constraints imposed by finite resource availability. Optimal root-shoot allocations are unnecessary to maximise whole-plant growth rate. Similar growth rates are attainable with different allocations. Changes in allocation cannot maintain or restore a superior whole-plant growth rate. Roots and shoots do not have to be tightly coordinated but can operate semiautonomously, as their modular construction permits. These findings question the plausibility of the prevailing general explanation of plants' root-shoot allocation responses, 'optimal partitioning theory' (OPT). Local allocation models, not OPT, explain the origins of variability in root-shoot trade-offs in individuals, the allocation of biomass at global and ecosystem scales and inform selection for allocation plasticity in crop breeding.
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Affiliation(s)
- David Robinson
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
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19
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Fang C, Verbrigghe N, Sigurdsson BD, Ostonen I, Leblans NIW, Marañón-Jiménez S, Fuchslueger L, Sigurðsson P, Meeran K, Portillo-Estrada M, Verbruggen E, Richter A, Sardans J, Peñuelas J, Bahn M, Vicca S, Janssens IA. Decadal soil warming decreased vascular plant above and belowground production in a subarctic grassland by inducing nitrogen limitation. THE NEW PHYTOLOGIST 2023; 240:565-576. [PMID: 37545200 DOI: 10.1111/nph.19177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 07/10/2023] [Indexed: 08/08/2023]
Abstract
Below and aboveground vegetation dynamics are crucial in understanding how climate warming may affect terrestrial ecosystem carbon cycling. In contrast to aboveground biomass, the response of belowground biomass to long-term warming has been poorly studied. Here, we characterized the impacts of decadal geothermal warming at two levels (on average +3.3°C and +7.9°C) on below and aboveground plant biomass stocks and production in a subarctic grassland. Soil warming did not change standing root biomass and even decreased fine root production and reduced aboveground biomass and production. Decadal soil warming also did not significantly alter the root-shoot ratio. The linear stepwise regression model suggested that following 10 yr of soil warming, temperature was no longer the direct driver of these responses, but losses of soil N were. Soil N losses, due to warming-induced decreases in organic matter and water retention capacity, were identified as key driver of the decreased above and belowground production. The reduction in fine root production was accompanied by thinner roots with increased specific root area. These results indicate that after a decade of soil warming, plant productivity in the studied subarctic grassland was affected by soil warming mainly by the reduction in soil N.
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Affiliation(s)
- Chao Fang
- Research Center for Global Changes and Ecosystem Carbon Sequestration & Mitigation, School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
- PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610, Belgium
| | - Niel Verbrigghe
- Flanders Research Institute for Agriculture, Fisheries and Food, Caritasstraat 39, Melle, 9090, Belgium
| | | | - Ivika Ostonen
- Institute of Ecology and Earth Sciences, University of Tartu, Tartu, 51003, Estonia
| | - Niki I W Leblans
- Climate Impacts Research Centre, Umeå University, Umeå, 90333, Sweden
| | - Sara Marañón-Jiménez
- CREAF, Cerdanyola del Vallès, Barcelona, 08193, Catalonia, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona, 08193, Catalonia, Spain
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193, Spain
| | - Lucia Fuchslueger
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Djerassiplatz 1, 1030, Vienna, Austria
| | - Páll Sigurðsson
- Agricultural University of Iceland, Hvanneyri, Borgarnes, IS-311, Iceland
| | - Kathiravan Meeran
- Department of Ecology, University of Innsbruck, 6020, Innsbruck, Austria
| | - Miguel Portillo-Estrada
- PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610, Belgium
| | - Erik Verbruggen
- PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610, Belgium
| | - Andreas Richter
- Centre for Microbiology and Environmental Systems Science, University of Vienna, Djerassiplatz 1, 1030, Vienna, Austria
| | - Jordi Sardans
- CREAF, Cerdanyola del Vallès, Barcelona, 08193, Catalonia, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona, 08193, Catalonia, Spain
| | - Josep Peñuelas
- CREAF, Cerdanyola del Vallès, Barcelona, 08193, Catalonia, Spain
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona, 08193, Catalonia, Spain
| | - Michael Bahn
- Department of Ecology, University of Innsbruck, 6020, Innsbruck, Austria
| | - Sara Vicca
- PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610, Belgium
| | - Ivan A Janssens
- PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610, Belgium
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20
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Cui Y, Peng S, Delgado-Baquerizo M, Rillig MC, Terrer C, Zhu B, Jing X, Chen J, Li J, Feng J, He Y, Fang L, Moorhead DL, Sinsabaugh RL, Peñuelas J. Microbial communities in terrestrial surface soils are not widely limited by carbon. GLOBAL CHANGE BIOLOGY 2023; 29:4412-4429. [PMID: 37277945 DOI: 10.1111/gcb.16765] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 06/07/2023]
Abstract
Microbial communities in soils are generally considered to be limited by carbon (C), which could be a crucial control for basic soil functions and responses of microbial heterotrophic metabolism to climate change. However, global soil microbial C limitation (MCL) has rarely been estimated and is poorly understood. Here, we predicted MCL, defined as limited availability of substrate C relative to nitrogen and/or phosphorus to meet microbial metabolic requirements, based on the thresholds of extracellular enzyme activity across 847 sites (2476 observations) representing global natural ecosystems. Results showed that only about 22% of global sites in terrestrial surface soils show relative C limitation in microbial community. This finding challenges the conventional hypothesis of ubiquitous C limitation for soil microbial metabolism. The limited geographic extent of C limitation in our study was mainly attributed to plant litter, rather than soil organic matter that has been processed by microbes, serving as the dominant C source for microbial acquisition. We also identified a significant latitudinal pattern of predicted MCL with larger C limitation at mid- to high latitudes, whereas this limitation was generally absent in the tropics. Moreover, MCL significantly constrained the rates of soil heterotrophic respiration, suggesting a potentially larger relative increase in respiration at mid- to high latitudes than low latitudes, if climate change increases primary productivity that alleviates MCL at higher latitudes. Our study provides the first global estimates of MCL, advancing our understanding of terrestrial C cycling and microbial metabolic feedback under global climate change.
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Affiliation(s)
- Yongxing Cui
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Shushi Peng
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Manuel Delgado-Baquerizo
- Laboratorio de Biodiversidad y Funcionamiento Ecosistémico, Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), CSIC, Sevilla, Spain
- Unidad Asociada CSIC-UPO (BioFun). Universidad Pablo de Olavide, Sevilla, Spain
| | | | - César Terrer
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Boston, Massachusetts, USA
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | - Xin Jing
- State Key Laboratory of Grassland Agro-Ecosystems, and College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Ji Chen
- Department of Agroecology, Aarhus University, Tjele, Denmark
| | - Jinquan Li
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Institute of Biodiversity Science and Institute of Eco-Chongming, School of Life Sciences, Fudan University, Shanghai, China
| | - Jiao Feng
- College of Resources and Environment, Huazhong Agricultural University, Wuhan, China
| | - Yue He
- Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Linchuan Fang
- School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan, China
| | - Daryl L Moorhead
- Department of Environmental Sciences, University of Toledo, Toledo, Ohio, USA
| | - Robert L Sinsabaugh
- Department of Biology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia, Spain
- CREAF, Cerdanyola del Vallès, Catalonia, Spain
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21
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Zhu J, Jiang L, Chen L, Jin X, Xing C, Liu J, Yang Y, He Z. Tree seedling growth allocation of Castanopsis kawakamii is determined by seed-relative positions. FRONTIERS IN PLANT SCIENCE 2023; 14:1099139. [PMID: 37332687 PMCID: PMC10272420 DOI: 10.3389/fpls.2023.1099139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 05/10/2023] [Indexed: 06/20/2023]
Abstract
Plants allocate growth to different organs as a strategy to obtain limiting resources in different environments. Tree seeds that fall from a mother tree settle on, within, or below the forest floor and litter layer, and their relative positions can determine seedling biomass and nutrient allocation and ultimately affect survival to the sapling stage. However, how emerged seedling biomass and nutrients of each organ are affected by seeds in different positions is not yet completely understood in subtropical forests. Therefore, an experiment was conducted with seeds positioned above the litter layers of different thicknesses, on the forest floor, and beneath the litter layer, and the influences of seed position on biomass allocation and nutrient use efficiency of emerged seedlings of Castanopsis kawakamii was examined. The aim of the study was to determine the optimal seed position to promote regeneration. Allocation strategies were well coordinated in the emerged seedlings from different seed positions. Seedlings from seeds positioned above litter layers of different thicknesses (~40 and 80 g of litter) allocated growth to leaf tissue at the expense of root tissue (lower root mass fraction) and increased nitrogen (N) and phosphorus (P) accumulation and nutrient use efficiency. Seedlings from seeds positioned beneath a deep litter layer allocated most growth to roots (high root: shoot ratio, root mass fraction) to capture available resources at the expense of leaf growth. Seedlings from seeds positioned on the forest floor allocated most growth to roots to obtain limiting resources. Further, we also found that these traits were clustered into three groups based on trait similarity, and the cumulative interpretation rate was 74.2%. Thus, seed relative positions significantly affected seedling growth by altering the allocation of resources to different organs. The different strategies indicated that root N:P ratios (entropy weight vector was 0.078) and P nutrient use efficiency were essential factors affecting seedling growth in the subtropical forest. Of the seed positions analyzed, beneath a moderate litter layer (~40 g of litter) was the most suitable position for the growth and survival of Castanopsis seedlings. In future studies, field and lab experiments will be combined to reveal the mechanisms underlying forest regeneration.
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Affiliation(s)
- Jing Zhu
- Key Laboratory of Fujian Universities for Ecology and Resource Statistics, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Lan Jiang
- Key Laboratory of Fujian Universities for Ecology and Resource Statistics, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Lyuyi Chen
- Entomology and Nematology Department, University of Florida, Gainesville, FL, United States
| | - Xing Jin
- Key Laboratory of Fujian Universities for Ecology and Resource Statistics, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Cong Xing
- Key Laboratory of Fujian Universities for Ecology and Resource Statistics, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jinfu Liu
- Key Laboratory of Fujian Universities for Ecology and Resource Statistics, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yongchuan Yang
- College of Environment and Ecology, Chongqing University, Chongqing, China
| | - Zhongsheng He
- Key Laboratory of Fujian Universities for Ecology and Resource Statistics, College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, China
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22
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Feng J, Song Y, Zhu B. Ecosystem-dependent responses of soil carbon storage to phosphorus enrichment. THE NEW PHYTOLOGIST 2023; 238:2363-2374. [PMID: 36960561 DOI: 10.1111/nph.18907] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 03/14/2023] [Indexed: 05/19/2023]
Abstract
Phosphorus deposition can stimulate both plant carbon inputs and microbial carbon outputs. However, how P enrichment affects soil organic carbon (SOC) storage and the underlying mechanisms remain unclear. We conducted a meta-analysis of 642 SOC observations from 213 field P addition experiments world-wide and explored the regulations of plant inputs, microbial outputs, plant characteristics, and environmental and experimental factors on SOC responses. We found that, globally, P addition stimulated SOC by 4.0% (95% CI: 2.0-6.0%), but the stimulation only occurred in forest and cropland rather than in grassland. Across sites, the response of SOC correlated with that of plant aboveground rather than belowground biomass, suggesting that the change in plant inputs from aboveground was more important than that from belowground in regulating SOC changes due to P addition. Among multiple factors, plant N fixation status and mean annual temperature were the best predictors for SOC responses to P addition, with SOC stimulation being higher in ecosystems dominated by symbiotic nitrogen fixers and ecosystems in high-temperature regions like tropical forests. Our findings highlight the differential and ecosystem-dependent responses of SOC to P enrichment and can contribute to accurate predictions of soil carbon dynamics in a P-enriched world.
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Affiliation(s)
- Jiguang Feng
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Yanjun Song
- University of Bordeaux, INRAE, BIOGECO, Pessac, 33615, France
| | - Biao Zhu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
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23
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Ye C, Wang S, Wang Y, Zhou T, Li R. Impacts of human pressure and climate on biodiversity-multifunctionality relationships on the Qinghai-Tibetan Plateau. FRONTIERS IN PLANT SCIENCE 2023; 14:1106035. [PMID: 37332689 PMCID: PMC10270690 DOI: 10.3389/fpls.2023.1106035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 04/28/2023] [Indexed: 06/20/2023]
Abstract
Many studies have investigated the effects of environmental context on biodiversity or multifunctionality in alpine regions, but it is uncertain how human pressure and climate may affect their relationships. Here, we combined the comparative map profile method with multivariate datasets to assess the spatial pattern of ecosystem multifunctionality and further identify the effects of human pressure and climate on the spatial distribution of biodiversity-multifunctionality relationships in alpine ecosystems of the Qinghai-Tibetan Plateau (QTP). Our results indicate that at least 93% of the areas in the study region show a positive correlation between biodiversity and ecosystem multifunctionality across the QTP. Biodiversity-multifunctionality relationships with increasing human pressure show a decreasing trend in the forest, alpine meadow, and alpine steppe ecosystems, while an opposite pattern was found in the alpine desert steppe ecosystem. More importantly, aridity significantly strengthened the synergistic relationship between biodiversity and ecosystem multifunctionality in forest and alpine meadow ecosystems. Taken together, our results provide insights into the importance of protecting and maintaining biodiversity and ecosystem multifunctionality in response to climate change and human pressure in the alpine region.
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Affiliation(s)
- Chongchong Ye
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Shuai Wang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Yi Wang
- School of Life Sciences and State Key Lab of Biological Control, Sun Yat-sen University, Guangzhou, China
| | - Tiancai Zhou
- Synthesis Research Centre of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Ruowei Li
- College of Grassland, Resource and Environment, Inner Mongolia Agricultural University, Hohhot, China
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24
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Ali A. Editorial: Plant diversity and biomass dynamics under environmental variation. FRONTIERS IN PLANT SCIENCE 2023; 14:1159695. [PMID: 37021308 PMCID: PMC10067900 DOI: 10.3389/fpls.2023.1159695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/10/2023] [Indexed: 06/19/2023]
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25
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López‐Mársico L, Oyarzabal M, Altesor A, Paruelo JM. Grazing exclusion reduces below‐ground biomass of temperate subhumid grasslands of South America: A meta‐analysis and a database. AUSTRAL ECOL 2023. [DOI: 10.1111/aec.13304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
Affiliation(s)
- Luis López‐Mársico
- Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias Universidad de la República Montevideo Uruguay
| | - Mariano Oyarzabal
- IFEVA, CONICET, Facultad de Agronomía Universidad de Buenos Aires Buenos Aires Argentina
| | - Alice Altesor
- Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias Universidad de la República Montevideo Uruguay
| | - José M. Paruelo
- Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias Universidad de la República Montevideo Uruguay
- IFEVA, CONICET, Facultad de Agronomía Universidad de Buenos Aires Buenos Aires Argentina
- Instituto Nacional de Investigación Agropecuaria Colonia Uruguay
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26
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Huang XZ, Li FB, Wang ZX, Jin Y, Qian H. Are allometric model parameters of aboveground biomass for trees phylogenetically constrained? PLANT DIVERSITY 2023; 45:229-233. [PMID: 37069928 PMCID: PMC10105221 DOI: 10.1016/j.pld.2022.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 11/18/2022] [Accepted: 11/23/2022] [Indexed: 06/19/2023]
Abstract
Knowledge of which biological and functional traits have, or lack, phylogenetic signal in a particular group of organisms is important to understanding the formation and functioning of biological communities. Allometric biomass models reflecting tree growth characteristics are commonly used to predict forest biomass. However, few studies have examined whether model parameters are constrained by phylogeny. Here, we use a comprehensive database (including 276 tree species) compiled from 894 allometric biomass models published in 302 articles to examine whether parameters a and b of the model W = a D b (where W stands for aboveground biomass, D is diameter at breast height) exhibit phylogenetic signal for all tree species as a whole and for different groups of tree species. For either model parameter, we relate difference in model parameter between different tree species to phylogenetic distance and to environmental distance between pairwise sites. Our study shows that neither model parameter exhibits phylogenetic signals (Pagel's λ and Blomberg's K both approach zero). This is the case regardless of whether all tree species in our data set were analyzed as a whole or tree species in different taxonomic groups (gymnosperm and angiosperm), leaf duration groups (evergreen and deciduous), or ecological groups (tropical, temperate and boreal) were analyzed separately. Our study also shows that difference in each parameter of the allometric biomass model is not significantly related to phylogenetic and environmental distances between tree species in different sites.
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Affiliation(s)
- Xing-Zhao Huang
- School of Forestry & Landscape of Architecture, Anhui Agricultural University, Hefei 230036, China
| | - Fang-Bing Li
- School of Forestry & Landscape of Architecture, Anhui Agricultural University, Hefei 230036, China
| | - Zi-Xuan Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Yi Jin
- Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, Guizhou Normal University, Guiyang 550025, China
| | - Hong Qian
- Research and Collections Center, Illinois State Museum, 1011 East Ash Street, Springfield, IL 62703, USA
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27
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Guo H, Zhou XB, Tao Y, Yin JF, Zhang L, Guo X, Liu CH, Zhang YM. Perennial herb diversity contributes more than annual herb diversity to multifunctionality in dryland ecosystems of North-western China. FRONTIERS IN PLANT SCIENCE 2023; 14:1099110. [PMID: 36890885 PMCID: PMC9986965 DOI: 10.3389/fpls.2023.1099110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/03/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Considerable attention has been given to how different aspects of biodiversity sustain ecosystem functions. Herbs are a critical component of the plant community of dryland ecosystems, but the importance of different life form groups of herbs is often overlooked in experiments on biodiversity-ecosystem multifunctionality. Hence, little is known about how the multiple attributes of diversity of different life form groups of herbs affect changes to the multifunctionality of ecosystems. METHODS We investigated geographic patterns of herb diversity and ecosystem multifunctionality along a precipitation gradient of 2100 km in Northwest China, and assessed the taxonomic, phylogenetic and functional attributes of different life form groups of herbs on the multifunctionality. RESULTS We found that subordinate (richness effect) species of annual herbs and dominant (mass ratio effect) species of perennial herbs were crucial for driving multifunctionality. Most importantly, the multiple attributes (taxonomic, phylogenetic and functional) of herb diversity enhanced the multifunctionality. The functional diversity of herbs provided greater explanatory power than did taxonomic and phylogenetic diversity. In addition, the multiple attribute diversity of perennial herbs contributed more than annual herbs to multifunctionality. CONCLUSIONS Our findings provide insights into previously neglected mechanisms by which the diversity of different life form groups of herbs affect ecosystem multifunctionality. These results provide a comprehensive understanding of the relationship between biodiversity and multifunctionality, and will ultimately contribute to multifunctional conservation and restoration programs in dryland ecosystems.
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Affiliation(s)
- Hao Guo
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiao-bing Zhou
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ye Tao
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jin-fei Yin
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lan Zhang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xing Guo
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chao-hong Liu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Yuan-ming Zhang
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
- University of Chinese Academy of Sciences, Beijing, China
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28
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Tekwa EW, Catalano KA, Bazzicalupo AL, O'Connor MI, Pinsky ML. The sizes of life. PLoS One 2023; 18:e0283020. [PMID: 36989258 PMCID: PMC10057745 DOI: 10.1371/journal.pone.0283020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/28/2023] [Indexed: 03/30/2023] Open
Abstract
Recent research has revealed the diversity and biomass of life across ecosystems, but how that biomass is distributed across body sizes of all living things remains unclear. We compile the present-day global body size-biomass spectra for the terrestrial, marine, and subterranean realms. To achieve this compilation, we pair existing and updated biomass estimates with previously uncatalogued body size ranges across all free-living biological groups. These data show that many biological groups share similar ranges of body sizes, and no single group dominates size ranges where cumulative biomass is highest. We then propagate biomass and size uncertainties and provide statistical descriptions of body size-biomass spectra across and within major habitat realms. Power laws show exponentially decreasing abundance (exponent -0.9±0.02 S.D., R2 = 0.97) and nearly equal biomass (exponent 0.09±0.01, R2 = 0.56) across log size bins, which resemble previous aquatic size spectra results but with greater organismal inclusivity and global coverage. In contrast, a bimodal Gaussian mixture model describes the biomass pattern better (R2 = 0.86) and suggests small (~10-15 g) and large (~107 g) organisms outweigh other sizes by one order magnitude (15 and 65 Gt versus ~1 Gt per log size). The results suggest that the global body size-biomass relationships is bimodal, but substantial one-to-two orders-of-magnitude uncertainty mean that additional data will be needed to clarify whether global-scale universal constraints or local forces shape these patterns.
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Affiliation(s)
- Eden W Tekwa
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, NJ, United States of America
| | - Katrina A Catalano
- Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, NJ, United States of America
| | - Anna L Bazzicalupo
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
| | - Mary I O'Connor
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
| | - Malin L Pinsky
- Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, NJ, United States of America
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29
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Growth of alpine grassland will start and stop earlier under climate warming. Nat Commun 2022; 13:7398. [PMID: 36456572 PMCID: PMC9715633 DOI: 10.1038/s41467-022-35194-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 11/22/2022] [Indexed: 12/03/2022] Open
Abstract
Alpine plants have evolved a tight seasonal cycle of growth and senescence to cope with a short growing season. The potential growing season length (GSL) is increasing because of climate warming, possibly prolonging plant growth above- and belowground. We tested whether growth dynamics in typical alpine grassland are altered when the natural GSL (2-3 months) is experimentally advanced and thus, prolonged by 2-4 months. Additional summer months did not extend the growing period, as canopy browning started 34-41 days after the start of the season, even when GSL was more than doubled. Less than 10% of roots were produced during the added months, suggesting that root growth was as conservative as leaf growth. Few species showed a weak second greening under prolonged GSL, but not the dominant sedge. A longer growing season under future climate may therefore not extend growth in this widespread alpine community, but will foster species that follow a less strict phenology.
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30
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Yang J, Wu F, Wei X, Zhang X, Wu Q, Yue K, Ni X. Global Positive Effects of Litter Inputs on Soil Nitrogen Pools and Fluxes. Ecosystems 2022. [DOI: 10.1007/s10021-022-00800-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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31
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Yuan W, Wang X, Lin CJ, Wu F, Luo K, Zhang H, Lu Z, Feng X. Mercury Uptake, Accumulation, and Translocation in Roots of Subtropical Forest: Implications of Global Mercury Budget. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:14154-14165. [PMID: 36150175 DOI: 10.1021/acs.est.2c04217] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Plant roots are responsible for transporting large quantities of nutrients in forest ecosystems and yet are frequently overlooked in global assessments of Hg cycling budgets. In this study, we systematically determined the distribution of total Hg mass and its stable isotopic signatures in a subtropical evergreen forest to elucidate sources of Hg in plant root tissues and the associated translocation mechanisms. Hg stored in roots and its isotopic signatures show significant correlations to those found in surrounding soil at various soil depths. The odd mass-independent fractionation (MIF) of root Hg at a shallow soil depth displays a -0.10‰ to -0.50‰ negative transition compared to the values in aboveground woody biomass. The evidence suggests that root Hg is predominantly derived from surrounding soil, rather than translocation of atmospheric uptake via aboveground tissues. The cortex has a more negative mass-dependent fractionation (MDF) of -0.10‰ to -1.20‰ compared to the soil samples, indicating a preferential uptake of lighter isotopes by roots. The similar MDF and odd-MIF signals found in root components imply limited Hg transport in roots. This work highlights that Hg stored in plant roots is not a significant sink of atmospheric Hg. The heterogeneous distribution of Hg mass in roots of various sizes represents a significant uncertainty of current estimates of Hg pool size in forest ecosystems.
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Affiliation(s)
- Wei Yuan
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Xun Wang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Che-Jen Lin
- Center for Advances in Water and Air Quality, Lamar University, Beaumont, Texas 77710, United States
| | - Fei Wu
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kang Luo
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Hui Zhang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Zhiyun Lu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, China
| | - Xinbin Feng
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
- Center for Excellence in Quaternary Science and Global Change, Chinese Academy of Sciences, Xi'an 710061, China
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Zhou L, Zhou X, He Y, Fu Y, Du Z, Lu M, Sun X, Li C, Lu C, Liu R, Zhou G, Bai SH, Thakur MP. Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association. Nat Commun 2022; 13:4914. [PMID: 35987902 PMCID: PMC9392739 DOI: 10.1038/s41467-022-32671-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 08/11/2022] [Indexed: 11/12/2022] Open
Abstract
Biomass allocation in plants is fundamental for understanding and predicting terrestrial carbon storage. Yet, our knowledge regarding warming effects on root: shoot ratio (R/S) remains limited. Here, we present a meta-analysis encompassing more than 300 studies and including angiosperms and gymnosperms as well as different biomes (cropland, desert, forest, grassland, tundra, and wetland). The meta-analysis shows that average warming of 2.50 °C (median = 2 °C) significantly increases biomass allocation to roots with a mean increase of 8.1% in R/S. Two factors associate significantly with this response to warming: mean annual precipitation and the type of mycorrhizal fungi associated with plants. Warming-induced allocation to roots is greater in drier habitats when compared to shoots (+15.1% in R/S), while lower in wetter habitats (+4.9% in R/S). This R/S pattern is more frequent in plants associated with arbuscular mycorrhizal fungi, compared to ectomycorrhizal fungi. These results show that precipitation variability and mycorrhizal association can affect terrestrial carbon dynamics by influencing biomass allocation strategies in a warmer world, suggesting that climate change could influence belowground C sequestration. Biomass allocation in plants is fundamental for understanding and predicting terrestrial carbon storage. Here, the authors conduct a meta-analysis showing that warming effect on plant root:shoot is influenced by precipitation and the type of mycorrhizal fungi associated.
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Rates and drivers of aboveground carbon accumulation in global monoculture plantation forests. Nat Commun 2022; 13:4206. [PMID: 35902561 PMCID: PMC9334591 DOI: 10.1038/s41467-022-31380-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 06/07/2022] [Indexed: 11/16/2022] Open
Abstract
Restoring forest cover is a key action for mitigating climate change. Although monoculture plantations dominate existing commitments to restore forest cover, we lack a synthetic view of how carbon accumulates in these systems. Here, we assemble a global database of 4756 field-plot measurements from monoculture plantations across all forested continents. With these data, we model carbon accumulation in aboveground live tree biomass and examine the biological, environmental, and human drivers that influence this growth. Our results identify four-fold variation in carbon accumulation rates across tree genera, plant functional types, and biomes, as well as the key mediators (e.g., genus of tree, endemism of species, prior land use) of variation in these rates. Our nonlinear growth models advance our understanding of carbon accumulation in forests relative to mean annual rates, particularly during the next few decades that are critical for mitigating climate change. Tree planting is a promising yet controversial natural climate solution. Here the authors perform a global analysis of aboveground C accumulation in tree monocultures, identifying key predictors such as prior land use, taxonomic identity, and plant traits.
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Zhang L, Yang L, Zohner CM, Crowther TW, Li M, Shen F, Guo M, Qin J, Yao L, Zhou C. Direct and indirect impacts of urbanization on vegetation growth across the world's cities. SCIENCE ADVANCES 2022; 8:eabo0095. [PMID: 35857465 PMCID: PMC9269895 DOI: 10.1126/sciadv.abo0095] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Urban environments, regarded as "harbingers" of future global change, may exert positive or negative impacts on urban vegetation growth. Because of limited ground-based experiments, the responses of vegetation to urbanization and its associated controlling factors at the global scale remain poorly understood. Here, we use satellite observations from 2001 to 2018 to quantify direct and indirect impacts of urbanization on vegetation growth in 672 worldwide cities. After controlling for the negative direct impact of urbanization on vegetation growth, we find a widespread positive indirect effect that has been increasing over time. These indirect effects depend on urban development intensity, population density, and background climate, with more pronounced positive effects in cities with cold and arid environments. We further show that vegetation responses to urbanization are modulated by a cities' developmental status. Our findings have important implications for understanding urbanization-induced impacts on vegetation and future sustainable urban development.
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Affiliation(s)
- Lei Zhang
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Lin Yang
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
- Corresponding author. (L.Y.); (C.Z.)
| | - Constantin M. Zohner
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich Switzerland
| | - Thomas W. Crowther
- Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich Switzerland
| | - Manchun Li
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Feixue Shen
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Mao Guo
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Jun Qin
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Ling Yao
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Chenghu Zhou
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
- Center for Ocean Remote Sensing of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
- Corresponding author. (L.Y.); (C.Z.)
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Machine learning-based global maps of ecological variables and the challenge of assessing them. Nat Commun 2022; 13:2208. [PMID: 35459230 PMCID: PMC9033849 DOI: 10.1038/s41467-022-29838-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 03/01/2022] [Indexed: 11/08/2022] Open
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Singh C, Karan SK, Sardar P, Samadder SR. Remote sensing-based biomass estimation of dry deciduous tropical forest using machine learning and ensemble analysis. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 308:114639. [PMID: 35151104 DOI: 10.1016/j.jenvman.2022.114639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 12/24/2021] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
Abstract
Forests play a vital role in maintaining the global carbon balance. However, globally, forest ecosystems are increasingly threatened by climate change and deforestation in recent years. Monitoring forests, specifically forest biomass is essential for tracking changes in carbon stocks and the global carbon cycle. However, developing countries lack the capacity to actively monitor forest carbon stocks, which ultimately adds uncertainties in estimating country specific contribution to the global carbon emissions. In India, authorities use field-based measurements to estimate biomass, which becomes unfeasible to implement at finer scales due to higher costs. To address this, the present study proposed a framework to monitor above-ground biomass (AGB) at finer scales using open-source satellite data. The framework integrated four machine learning (ML) techniques with field surveys and satellite data to provide continuous spatial estimates of AGB at finer resolution. The application of this framework is exemplified as a case study for a dry deciduous tropical forest in India. The results revealed that for wet season Sentinel-2 satellite data, the Random Forest (adjusted R2 = 0.91) and Artificial Neural Network (adjusted R2 = 0.77) ML models were better-suited for estimating AGB in the study area. For dry season satellite data, all the ML models failed to estimate AGB adequately (adjusted R2 between -0.05 - 0.43). Ensemble analysis of ML predictions not only made the results more reliable, but also quantified spatial uncertainty in the predictions as a metric to identify its robustness.
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Affiliation(s)
- Chandrakant Singh
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India; Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden.
| | - Shivesh Kishore Karan
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India; Department of Energy and Technology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Purnendu Sardar
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India
| | - Sukha Ranjan Samadder
- Department of Environmental Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India.
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Jassey VEJ, Walcker R, Kardol P, Geisen S, Heger T, Lamentowicz M, Hamard S, Lara E. Contribution of soil algae to the global carbon cycle. THE NEW PHYTOLOGIST 2022; 234:64-76. [PMID: 35103312 DOI: 10.1111/nph.17950] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Soil photoautotrophic prokaryotes and micro-eukaryotes - known as soil algae - are, together with heterotrophic microorganisms, a constitutive part of the microbiome in surface soils. Similar to plants, they fix atmospheric carbon (C) through photosynthesis for their own growth, yet their contribution to global and regional biogeochemical C cycling still remains quantitatively elusive. Here, we compiled an extensive dataset on soil algae to generate a better understanding of their distribution across biomes and predict their productivity at a global scale by means of machine learning modelling. We found that, on average, (5.5 ± 3.4) × 106 algae inhabit each gram of surface soil. Soil algal abundance especially peaked in acidic, moist and vegetated soils. We estimate that, globally, soil algae take up around 3.6 Pg C per year, which corresponds to c. 6% of the net primary production of terrestrial vegetation. We demonstrate that the C fixed by soil algae is crucial to the global C cycle and should be integrated into land-based efforts to mitigate C emissions.
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Affiliation(s)
- Vincent E J Jassey
- Laboratoire Écologie Fonctionnelle et Environnement, Université de Toulouse, CNRS, 31062, Toulouse, France
| | - Romain Walcker
- Laboratoire Écologie Fonctionnelle et Environnement, Université de Toulouse, CNRS, 31062, Toulouse, France
| | - Paul Kardol
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, 90183, Umeå, Sweden
| | - Stefan Geisen
- Laboratory of Nematology, Wageningen University, 6708 PB, Wageningen, the Netherlands
- Department of Terrestrial Ecology, Netherlands Institute of Ecology NIOO-KNAW, 6708 PB, Wageningen, the Netherlands
| | - Thierry Heger
- Soil Science and Environment Group, Changins, HES-SO University of Applied Sciences and Arts Western, 1260, Nyon, Switzerland
| | - Mariusz Lamentowicz
- Climate Change Ecology Research Unit, Adam Mickiewicz University, 60-001, Poznań, Poland
| | - Samuel Hamard
- Laboratoire Écologie Fonctionnelle et Environnement, Université de Toulouse, CNRS, 31062, Toulouse, France
| | - Enrique Lara
- Real Jardin Botanico, CSIC, Plaza de Murillo 2, 28014, Madrid, Spain
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Liu W, Chen X, Wang J, Zhang Y. Does the effect of flowering time on biomass allocation across latitudes differ between invasive and native salt marsh grass
Spartina alterniflora
? Ecol Evol 2022; 12:e8681. [PMID: 35309742 PMCID: PMC8901870 DOI: 10.1002/ece3.8681] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 01/26/2022] [Accepted: 02/07/2022] [Indexed: 12/29/2022] Open
Abstract
Parallel latitudinal clines in flowering time have been documented in both the invasive and native ranges of plants. Furthermore, flowering time has been found to affect biomass at maturity. Therefore, understanding how these flowering times affect biomass accumulation across latitudes is essential to understanding plant adaptations and distributions. We investigated and compared trends in first flowering day (FFD), aboveground biomass (AGB), belowground biomass (BGB), and BGB:AGB ratio of the salt marsh grass Spartina alterniflora along latitudinal gradients from the invasive (China, 19–40°N) and native range (United States, 27–43°N) in a greenhouse common garden experiment, and tested whether FFD would drive these divergences between invasive and native ranges. The invasive populations produced more (~20%, ~19%) AGB and BGB than native populations, but there were no significant differences in the FFD and BGB:AGB ratio. We found significant parallel latitudinal clines in FFD in both invasive and native ranges. In addition, the BGB:AGB ratio was negatively correlated with the FFD in both the invasive and native ranges but nonsignificant in invasive populations. In contrast, AGB and BGB increased with latitude in the invasive range, but declined with latitude in the native range. Most interestingly, we found AGB and BGB positively correlated with the FFD in the native range, but no significant relationships in the invasive range. Our results indirectly support the evolution of increased competitive ability hypothesis (EICA) that S. alterniflora has evolved to produce greater AGB and BGB in China, but the flowering and allocation pattern of native populations is maintained in the invasive range. Our results also suggest that invasive S. alterniflora in China is not constrained by the trade‐off of earlier flowering with smaller size, and that flowering time has played an important role in biomass allocation across latitudes.
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Affiliation(s)
- Wenwen Liu
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems College of the Environment and Ecology Xiamen University Fujian China
| | - Xincong Chen
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems College of the Environment and Ecology Xiamen University Fujian China
| | - Jiayu Wang
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems College of the Environment and Ecology Xiamen University Fujian China
| | - Yihui Zhang
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems College of the Environment and Ecology Xiamen University Fujian China
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Zhang Y, Zheng Q, Gao X, Ma Y, Liang K, Yue H, Huang X, Wu K, Wang X. Land Degradation Changes the Role of Above- and Belowground Competition in Regulating Plant Biomass Allocation in an Alpine Meadow. FRONTIERS IN PLANT SCIENCE 2022; 13:822594. [PMID: 35185988 PMCID: PMC8850915 DOI: 10.3389/fpls.2022.822594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 01/05/2022] [Indexed: 06/14/2023]
Abstract
The allocation pattern of plant biomass presents the strategy of the plant community to adopt environmental changes, while the driver of biomass allocation is still unclear in degraded alpine grassland ecosystems. To explore the issue, this study investigated the shoot-to-root (R/S) ratio, plant aboveground traits, and root competition of three functional groups (i.e., grasses, sedges, and forbs) at three degradation levels (i.e., no obvious degradation, ND; moderate degradation, MD; and severe degradation, SD) in an alpine meadow in the eastern Qinghai-Tibetan Plateau. The relationships among plant aboveground traits, root competition, and R/S ratio were tested using the structural equation model (SEM). The results showed that the shoot and root biomass tended to decrease, but the R/S ratio of the plant community did not change along the degradation gradient. Plant height, lateral spread, and leaf length of most plant functional groups reduced, while leaf width and leaf area of most plant functional groups did not change along the degradation gradients. The root competition ability (presented as the fraction of root biomass in total biomass) of sedges in MD was the lowest, while that of grasses was the highest. The effects of aboveground competition on the R/S ratio were non-linear because of the different roles of plant height, lateral spread, and leaf area in regulating the R/S ratio along the degradation gradient. In contrast, the effects of belowground competition on the R/S ratio were linear because belowground competition promoted the R/S ratio, and the strength of this effect reduced along the degradation gradient. These results indicate that plant competition might be a critical factor to maintain the high R/S ratio in degraded alpine meadows.
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Affiliation(s)
- Yong Zhang
- Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming, China
- National Plateau Wetlands Research Center, Southwest Forestry University, Kunming, China
| | - Qiuzhu Zheng
- Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming, China
- National Plateau Wetlands Research Center, Southwest Forestry University, Kunming, China
| | - Xiaoxia Gao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Yandan Ma
- Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming, China
- National Plateau Wetlands Research Center, Southwest Forestry University, Kunming, China
| | - Kemin Liang
- Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming, China
- National Plateau Wetlands Research Center, Southwest Forestry University, Kunming, China
| | - Haitao Yue
- Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming, China
- National Plateau Wetlands Research Center, Southwest Forestry University, Kunming, China
| | - Xiaoxia Huang
- School of Earth Sciences, Yunnan University, Kunming, China
| | - Kaiting Wu
- Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming, China
- National Plateau Wetlands Research Center, Southwest Forestry University, Kunming, China
| | - Xiaorong Wang
- Yunnan Key Laboratory of Plateau Wetland Conservation, Restoration and Ecological Services, College of Wetlands, Southwest Forestry University, Kunming, China
- National Plateau Wetlands Research Center, Southwest Forestry University, Kunming, China
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Wang J, Wang X, Ji Y, Gao J. Climate factors determine the utilization strategy of forest plant resources at large scales. FRONTIERS IN PLANT SCIENCE 2022; 13:990441. [PMID: 36035720 PMCID: PMC9399733 DOI: 10.3389/fpls.2022.990441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 07/22/2022] [Indexed: 05/06/2023]
Abstract
Plant functional traits are a representation of plant resource utilization strategies. Plants with higher specific leaf area (SLA) and lower leaf dry matter content (LDMC) exhibit faster investment-return resource utilization strategies. However, the distribution patterns and driving factors of plant resource utilization strategies at the macroscale are rarely studied. We investigated the relative importance of climatic and soil factors in shaping plant resource utilization strategies at different life forms in forests using data collected from 926 plots across 163 forests in China. SLA and LDMC of plants at different life forms (i.e., trees, shrubs, and herbs) differ significantly. Resource utilization strategies show significant geographical differences, with vegetation in the western arid regions adopting a slower investment-return survival strategy and vegetation in warmer and wetter areas adopting a faster investment-return survival strategy. SLA decreases significantly with increased temperature and reduced rainfall, and vegetation growing in these conditions exhibits conservative resource utilization. Mean annual precipitation (MAP) is a key climatic factor that controls the resource utilization strategies of plants at the macroscale. Plants use resources more conservatively as soil pH increases. The influence of climate and soil factors is coupled to determine the resource utilization strategies of plants occupying different life forms at the macroscale, but the relative contribution of each varies across life forms. Our findings provide a theoretical framework for understanding the potential impact of increasing global temperatures on plant resource utilization.
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Affiliation(s)
- Jiangfeng Wang
- College of Life Sciences, Xinjiang Normal University, Ürümqi, China
| | - Xianxian Wang
- College of Life Sciences, Xinjiang Normal University, Ürümqi, China
| | - Yuhui Ji
- College of Life Sciences, Xinjiang Normal University, Ürümqi, China
| | - Jie Gao
- College of Life Sciences, Xinjiang Normal University, Ürümqi, China
- Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Institute of Ecology, Peking University, Beijing, China
- *Correspondence: Jie Gao,
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Li C, Li Y, Li X, Ma L, Xiao Y, Zhang C. Differential Responses of Plant Primary Productivity to Nutrient Addition in Natural and Restored Alpine Grasslands in the Qinghai Lake Basin. FRONTIERS IN PLANT SCIENCE 2021; 12:792123. [PMID: 34987537 PMCID: PMC8721223 DOI: 10.3389/fpls.2021.792123] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 11/22/2021] [Indexed: 06/14/2023]
Abstract
Climate, land-use changes, and nitrogen (N) deposition strongly impact plant primary productivity, particularly in alpine grassland ecosystems. In this study, the differential responses of plant community primary productivity to N and phosphorus (P) nutrient application were investigated in the natural (NG) and "Grain for Green" restored (RG) alpine grasslands by a continuous 3-year experiment in the Qinghai Lake Basin. N addition only significantly promoted plant aboveground biomass (AGB) by 42% and had no significant effect on belowground biomass (BGB) and total biomass (TB) in NG. In comparison with NG, N addition elevated AGB and BGB concurrently in RG by 138% and 24%, respectively, which further significantly increased TB by 41% in RG. Meanwhile, N addition significantly decreased BGB and the AGB ratio (R/S) both in NG and RG. Compared with N addition, P addition did not perform an evident effect on plant biomass parameters. Additionally, AGB was merely negatively influenced by growing season temperatures (GST) under the N addition treatment in NG. AGB was negatively associated with GST but positively related to growing season precipitation (GSP) in RG. By contrast, changes in the R/S ratio in RG were positively correlated with GST and negatively related to GSP. In sum, the results revealed that plant community biomass exhibited convergent (AGB and R/S) and divergent (BGB and TB) responses to N addition between NG and RG. In addition, the outcomes suggested that climate warming would enhance plant biomass allocation to belowground under ongoing N deposition, and indicated the significance of precipitation for plant growth and AGB accumulation in this restored alpine grassland ecosystem.
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Affiliation(s)
- Chunli Li
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Yonghui Li
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Xinwei Li
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
| | - Li Ma
- Key Laboratory of Cold Regions Restoration Ecology, Northwest Institute of Plateau Biology, Chinese Academy of Science, Xining, China
| | - Yuanming Xiao
- Key Laboratory of Tibetan Medicine Research, Northwest Institute of Plateau Biology, Chinese Academy of Science, Xining, China
| | - Chunhui Zhang
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, China
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