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Shi C, Li Y, Zhang T, Wang H, Wu L, Suriguga, Li FY. Light grazing intensity enhances ecosystem services in semi-arid grasslands through plant trait associations. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119375. [PMID: 37883834 DOI: 10.1016/j.jenvman.2023.119375] [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: 02/06/2023] [Revised: 10/07/2023] [Accepted: 10/14/2023] [Indexed: 10/28/2023]
Abstract
Grasslands provide multiple ecosystem services (ESs) including provisioning, regulating, supporting, and cultural services that are largely affected by livestock grazing. Linking plant functional traits (PFTs) to ecosystem processes and functions has attracted extensive ecological research to explore the responses and inter-relations of ecosystem services to environmental and management changes. However, little information is available on the links between PFTs and ESs in most ecosystems. We conducted a grazing experiment to investigate the response of PFTs at different levels, including in plant organs (leaves and stems), individual plants, and the overall community in a typical steppe region of Inner Mongolia. Additionally, we examined the effect of animal grazing at four intensities (nil, light, moderate, and heavy) and explored the dynamic interconnections between PFTs and ecosystem services in grasslands. Our analysis revealed that the highest total ecosystem service and provisioning service were achieved under light- and moderate-grazing treatments, respectively. Heavy grazing also increased provisioning service but with a large decline in regulating and total ecosystem services. These changes in ESs were closely associated with grazing-induced variations in PFTs. Compared to no grazing, light grazing increased plant size-related functional traits, such as height, leaf length, leaf area, stem length, and the ratio of stem length to diameter. In contrast, heavy grazing decreased these PFTs. Provisioning and regulating services were determined by plant above-ground community function and structural properties, while supporting service was jointly affected by the below-ground community and soil properties. Our results indicate that light grazing should be recommended for the best total ESs, although moderate grazing may lead to high short-term economic benefits. Moreover, PFTs are powerful indicators for provisioning and regulating services. These findings provide a valuable reference for developing effective management practices to achieve targeted ESs using PFTs as indicators.
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Affiliation(s)
- Chunjun Shi
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, 235 University West Street, Hohhot, 010021, China
| | - Yanlong Li
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, 235 University West Street, Hohhot, 010021, China
| | - Tongrui Zhang
- Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, 235 University West Street, Hohhot, 010021, China; Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, China
| | - Hao Wang
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, 235 University West Street, Hohhot, 010021, China
| | - Lin Wu
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China
| | - Suriguga
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China
| | - Frank Yonghong Li
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau & Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China; Collaborative Innovation Center for Grassland Ecological Security, Ministry of Education of China, 235 University West Street, Hohhot, 010021, China.
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2
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Li L, Feng R, Xi J, Huijbens EH, Gao Y. Distinguishing the impact of tourism development on ecosystem service trade-offs in ecological functional zone. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 342:118183. [PMID: 37216874 DOI: 10.1016/j.jenvman.2023.118183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 05/10/2023] [Accepted: 05/13/2023] [Indexed: 05/24/2023]
Abstract
Tourism in ecological functional zones (EFZs) is rapidly becoming an increasing trend; however, its impact on ecosystem services remains poorly understood owing to the absence of a consistent quantification framework. This study uses the Taihang Mountains (THM), an EFZ in China, as an example to develop a framework for evaluating the direct and indirect impact pathways of scenic spots on the trade-offs between multiple ecosystem services by identifying the linkages between scenic spot development, socioeconomic change, land use transitions, and ecosystem services. The results show that the continued conversion of agricultural land, grassland, and forest to constructed land around scenic spots in 2000-2020 was accompanied by a decline in water yield (WY) and habitat quality (HQ); while food production (FP), carbon storage (CS), and soil retention (SR) increased. Land use and ecosystem service changes around scenic spots in the THM also exhibited significant spatial gradient effects. In particular, a 10-km buffer area was identified as a distinct "influence zone" where the ecosystem services trade-offs and land use changes were the most pronounced. In 2010, scenic spot revenue was the dominant factor that increased the trade-offs between SR with FP and CS via direct pathways. However, in 2020, the dominant factor was scenic spot level, which shifted the impact toward the relationship between CS and WY and HQ by intensifying the trade-offs to facilitating synergies. This was accomplished in an indirect manner, such as the facilitation of local population growth, industrial restructuring, and infrastructure development. This study reveals the varying effects of scenic spot development via different pathways, thereby providing useful insights for global EFZs to more precisely design policies that can adequately balance human activities with ecosystem services.
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Affiliation(s)
- Li Li
- Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Cultural Geography Research Group, Wageningen University & Research, Wageningen, 6708PB, Netherlands.
| | - Rundong Feng
- Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Jianchao Xi
- Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Edward H Huijbens
- Cultural Geography Research Group, Wageningen University & Research, Wageningen, 6708PB, Netherlands.
| | - Yiran Gao
- Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
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3
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Sheng Z, Du J, Li L, Li E, Sun B, Mao J, Zhang Y, Zhang J, Diao Z. Grazing alters ecosystem multifunctionality via changes in taxonomic diversity and functional identity in temperate grassland, China. Glob Ecol Conserv 2023. [DOI: 10.1016/j.gecco.2022.e02323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
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4
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Zhao F, Yang L, Yen H, Yu X, Fang L, Li M, Chen L. Can agricultural land use alter the responses of soil biota to antibiotic contamination? JOURNAL OF HAZARDOUS MATERIALS 2022; 437:129350. [PMID: 35749896 DOI: 10.1016/j.jhazmat.2022.129350] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 05/27/2022] [Accepted: 06/08/2022] [Indexed: 06/15/2023]
Abstract
Antibiotics accumulate in soils via various agricultural activities, endangering soil biota that play fundamental roles in maintaining agroecosystem function. However, the effects of land-use heterogeneity on soil biota tolerance to antibiotic stresses are not well understood. In this study, we explored the relationships between antibiotic residues, bacterial communities, and earthworm populations in areas with different land-use types (forest, maize, and peanut fields). The results showed that antibiotic levels were generally higher in maize and peanut fields than in forests. Furthermore, land use modulated the effects of antibiotics on soil bacterial communities and earthworm populations. Cumulative antibiotic concentrations in peanut fields were negatively correlated with bacterial diversity and earthworm abundance, whereas no significant correlations were detected in maize fields. In contrast, antibiotics improved bacterial diversity and richness in forest soils. Generally, earthworm populations showed stronger tolerance to antibiotics than did soil bacterial communities. Agricultural land use differentially modified the responses of the soil bacterial community and earthworm population to antibiotic contamination, and earthworms might provide an alternative for controlling antibiotic contamination.
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Affiliation(s)
- Fangkai Zhao
- School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Lei Yang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haw Yen
- School of Forestry and Wildlife Sciences, Auburn University, Auburn 36849, USA; Environmental Exposure Modeling, Bayer US Crop Science Division, Chesterfield 63017, USA
| | - Xinwei Yu
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, Zhoushan Municipal Center for Disease Control and Prevention, Zhoushan, 316021, China
| | - Li Fang
- Key Laboratory of Health Risk Factors for Seafood of Zhejiang Province, Zhoushan Municipal Center for Disease Control and Prevention, Zhoushan, 316021, China
| | - Min Li
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liding Chen
- School of Ecology and Environmental Sciences, Yunnan University, Kunming 650500, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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5
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Li W, Wang L, Yang X, Liang T, Zhang Q, Liao X, White JR, Rinklebe J. Interactive influences of meteorological and socioeconomic factors on ecosystem service values in a river basin with different geomorphic features. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 829:154595. [PMID: 35302013 DOI: 10.1016/j.scitotenv.2022.154595] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/08/2022] [Accepted: 03/11/2022] [Indexed: 05/16/2023]
Abstract
Ecosystem service value (ESV) is influenced by land use and land cover (LULC), and is closely related to natural conditions and human activities. However, the interactions between human and natural systems and ESV remain unclear, especially concerning widely discussed meteorological and socioeconomic factors. In this study, three periods of LULC patterns (2000, 2010, and 2020) in the Haihe River Basin, northern China, were collected to determine the relationship between changes in LULC and ESV over time. Natural and socioeconomic data associated with ESV were obtained and the structural equation model was used to decouple interactions between these factors. Results showed that the total value of regional ecosystem services has decreased as cultivated land shrunk and artificial surfaces increased over the past two decades. The ESV was significantly decreased in the middle of the basin. The direct effects of meteorological factors and socioeconomic factors on ESV were positive (0.094) and negative (-0.203), respectively. The indirect effect of socioeconomic factors on ESV through meteorological and LULC factors was 0.149. Structural equation modeling demonstrated that under the dominance of LULC, interactions between natural and socioeconomic factors affected ESV in a complex manner. These results implied that identifying the direct and indirect effects of economic development and human activities on ESV could guide and implement effective land management policies.
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Affiliation(s)
- Wanshu Li
- Key Laboratory of Land Surface Pattern and Simulation, 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 100049, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, 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 100049, China.
| | - Xiao Yang
- Key Laboratory of Land Surface Pattern and Simulation, 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 100049, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, 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 100049, China
| | - Qian Zhang
- Key Laboratory of Land Surface Pattern and Simulation, 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 100049, China
| | - Xiaoyong Liao
- Key Laboratory of Land Surface Pattern and Simulation, 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 100049, China
| | - John R White
- Wetland and Aquatic Biogeochemistry Laboratory, Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, United States
| | - Jörg Rinklebe
- University of Wuppertal, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, Soil- and Groundwater-Management, Pauluskirchstraße 7, 42285 Wuppertal, Germany; Department of Environment, Department of Environment and Energy, Sejong University, Seoul 05006, Republic of Korea
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6
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Li J, Li S, Huang X, Tang R, Zhang R, Li C, Xu C, Su J. Plant diversity and soil properties regulate the microbial community of monsoon evergreen broad-leaved forest under different intensities of woodland use. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 821:153565. [PMID: 35101489 DOI: 10.1016/j.scitotenv.2022.153565] [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: 10/10/2021] [Revised: 01/26/2022] [Accepted: 01/26/2022] [Indexed: 06/14/2023]
Abstract
A key aspect of global forest management, woodland use intensity (WUI) greatly affects the composition and diversity of soil microbial communities, thereby affecting multiple ecosystem functions and services. However, the effects of WUI on soil microbial community composition and enzymatic activities remains unclear. The effects of anthropomorphic alterations to a natural monsoon evergreen broad-leaved forest in terms of the composition and diversity of soil fungal and bacterial communities, was investigated at a site in Yunnan Province, Southwest China. Soil microbial communities were assessed under four levels of disturbance with increasing levels of WUI: (i) none, undisturbed forest (control), (ii) light, naturally-regenerated Pinus kesiya Royle ex Gordon forest, (iii) intermediate, shrub and grassland communities formed through grazing, and (iv) severe, continuously managed coffee (Coffea arabica L.) plantations. With increasing WUI, the diversity of soil fungal and bacterial communities increased, while similarities in community composition decreased for fungi but increased for bacteria. Among fungal functional guilds, ectomycorrhizal fungi decreased significantly with increasing WUI, whereas saprotrophic fungi (undefined, wood, and soil saprotrophs) increased significantly. The species richness of woody plants remarkably affected fungal functional guilds. Ectomycorrhizal fungi interacted in a synergistic manner with the fungal network structure. Significantly affecting microorganismal network structure, WUI increases led to more homogeneous networks with less integration within modules within the microbial community. The WUI strongly altered hub identity and module composition in the microbial community. According to structural equation models, WUI had direct positive effects on soil fungal community composition via its effects on plant species richness. The diversity of bacterial and fungal communities and composition of bacterial communities were jointly regulated by the indirect effects of plant species richness and soil nutrients (including enzyme activity). Deterministic processes largely determined the composition of soil fungal and bacterial communities. This study highlights the importance of maintaining the diversity of soil fungal and bacterial communities despite changes in woodland use to sustain ecosystem functions. These results can be used to develop management practices in subtropical forests and help sustain plant and soil microbial diversity at levels sufficient to maintain long-term ecosystem function and services.
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Affiliation(s)
- Jing Li
- Institute of Highland Forest science, Chinese Academy of Forestry, Kunming 650224, China; Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming 650224, China; Nanjing Forestry University, Nanjing 210037, China
| | - Shuaifeng Li
- Institute of Highland Forest science, Chinese Academy of Forestry, Kunming 650224, China; Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming 650224, China
| | - Xiaobo Huang
- Institute of Highland Forest science, Chinese Academy of Forestry, Kunming 650224, China; Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming 650224, China
| | - Rong Tang
- Institute of Highland Forest science, Chinese Academy of Forestry, Kunming 650224, China; Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming 650224, China
| | - Rui Zhang
- Institute of Highland Forest science, Chinese Academy of Forestry, Kunming 650224, China; Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming 650224, China
| | - Cong Li
- Institute of Highland Forest science, Chinese Academy of Forestry, Kunming 650224, China; Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming 650224, China
| | - Chonghua Xu
- Taiyanghe Provincial Nature Reserve, Pu'er 66500, Yunnan, China
| | - Jianrong Su
- Institute of Highland Forest science, Chinese Academy of Forestry, Kunming 650224, China; Pu'er Forest Ecosystem Research Station, National Forestry and Grassland Administration of China, Kunming 650224, China.
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7
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The Role of Plant Functional Diversity in Regulating Soil Organic Carbon Stocks under Different Grazing Intensities in Temperate Grassland, China. SUSTAINABILITY 2022. [DOI: 10.3390/su14084376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Grazing is very common in the grassland ecosystem, and it has a significant impact on the C stocks and cycle. One of the most important drivers of soil C stocks is functional diversity. However, limited studies have attempted to explore the effects of functional diversity on soil C stocks associated with grazing disturbance. This study was carried out in Hulunbeier grassland, Inner Mongolia, and four grazing intensities (no grazing (NG), light grazing (LG), moderate grazing (MG), and heavy grazing (HG)) were identified. The plant functional traits and important soil properties under different grazing intensities were measured. Functional identity and diversity were calculated based on the measured functional traits. The impacts of functional identity and diversity on soil organic carbon stocks (SOCstocks) were analyzed using a multi-model inference (MMI) approach. Our study showed that the functional diversity effect on soil C stocks varies depending on grazing intensity. We identified that functional richness has a significant impact on SOCstocks in NG. The community weighted mean of leaf area became the best predictor of SOCstocks in LG. As grazing intensified, functional divergence best explained SOCstocks in moderate and heavy grazing sites, and their relationship was positive. The major outcomes of this research could shed light on the mechanics of soil carbon storage.
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8
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Miedema Brown L, Anand M. Plant functional traits as measures of ecosystem service provision. Ecosphere 2022. [DOI: 10.1002/ecs2.3930] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
| | - Madhur Anand
- School of Environmental Sciences University of Guelph Guelph Ontario Canada
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9
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Davison CW, Rahbek C, Morueta-Holme N. Land-use change and biodiversity: Challenges for assembling evidence on the greatest threat to nature. GLOBAL CHANGE BIOLOGY 2021; 27:5414-5429. [PMID: 34392585 DOI: 10.1111/gcb.15846] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 03/26/2021] [Accepted: 07/15/2021] [Indexed: 06/13/2023]
Abstract
Land-use change is considered the greatest threat to nature, having caused worldwide declines in the abundance, diversity, and health of species and ecosystems. Despite increasing research on this global change driver, there are still challenges to forming an effective synthesis. The estimated impact of land-use change on biodiversity can depend on location, research methods, and taxonomic focus, with recent global meta-analyses reaching disparate conclusions. Here, we critically appraise this research body and our ability to reach a reliable consensus. We employ named entity recognition to analyze more than 4000 abstracts, alongside full reading of 100 randomly selected papers. We highlight the broad range of study designs and methodologies used; the most common being local space-for-time comparisons that classify land use in situ. Species metrics including abundance, distribution, and diversity were measured more frequently than complex responses such as demography, vital rates, and behavior. We identified taxonomic biases, with vertebrates well represented while detritivores were largely missing. Omitting this group may hinder our understanding of how land-use change affects ecosystem feedback. Research was heavily biased toward temperate forested biomes in North America and Europe, with warmer regions being acutely underrepresented despite offering potential insights into the future effects of land-use change under novel climates. Various land-use histories were covered, although more research in understudied regions including Africa and the Middle East is required to capture regional differences in the form of current and historical land-use practices. Failure to address these challenges will impede our global understanding of land-use change impacts on biodiversity, limit the reliability of future projections and have repercussions for the conservation of threatened species. Beyond identifying literature biases, we highlight the research priorities and data gaps that need urgent attention and offer perspectives on how to move forward.
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Affiliation(s)
- Charles W Davison
- Center for Macroecology, Evolution and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Carsten Rahbek
- Center for Macroecology, Evolution and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Global Mountain Biodiversity, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- Institute of Ecology, Peking University, Beijing, China
- Department of Life Sciences, Imperial College London, Ascot, UK
- Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark
| | - Naia Morueta-Holme
- Center for Macroecology, Evolution and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
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10
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Chillo V, Vázquez DP, Tavella J, Cagnolo L. Plant-plant co-occurrences under a complex land-use gradient in a temperate forest. Oecologia 2021; 196:815-824. [PMID: 34110499 DOI: 10.1007/s00442-021-04953-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 05/26/2021] [Indexed: 11/29/2022]
Abstract
Land-use generates multiple stress factors, and we need to understand their effects on plant-plant interactions to predict the consequences of land-use intensification. The stress-gradient hypothesis predicts that the relative strength of positive and negative interactions changes inversely under increasing environmental stress. However, the outcome of interactions also depends on stress factor's complexity, the scale of analysis, and the role of functional traits in structuring the community. We evaluated plant-plant co-occurrences in a temperate forest, aiming to identify changes in pairwise and network metrics under increasing silvopastoral use intensity. Proportionally, positive co-occurrences were more frequent under high than low use, while negative co-occurrences were more frequent under low than high. Networks of negative co-occurrences showed higher centralization under low use, while networks of positive co-occurrences showed lower modularity and higher centralization under high use. We found a partial relationship between co-occurrences and key functional traits expected to mediate facilitation and competition processes. Our results shows that the stress-gradient hypothesis predicts changes in spatial co-occurrences even when two stress factors interact in a complex way. Networks of negative co-occurrences showed a hierarchical effect of dominant species under low use intensity. But positive co-occurrence network structure partially presented the characteristics expected if the facilitation was an important mechanism characterizing the community under high disturbance intensity. The partial relationship between functional traits and co-occurrences may indicate that other factors besides biotic interactions may be structuring the observed negative spatial associations in temperate Patagonian forests.
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Affiliation(s)
- Verónica Chillo
- Universidad Nacional de Río Negro, Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD), El Bolsón, Río Negro, Argentina. .,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), IRNAD, El Bolsón, Argentina.
| | - Diego P Vázquez
- Instituto Argentino de Investigaciones de Zonas Áridas, CONICET and Universidad Nacional de Cuyo, Mendoza, Argentina.,Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Cuyo, Mendoza, Argentina
| | - Julia Tavella
- Cátedra de Botánica General, Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Luciano Cagnolo
- Instituto Multidisciplinario de Biología Vegetal, Universidad Nacional de Córdoba and CONICET, Córdoba, Argentina
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11
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Li M, Li X, Liu S, Li X, Lyu X, Dang D, Dou H. Ecosystem services under different grazing intensities in typical grasslands in Inner Mongolia and their relationships. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01526] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
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12
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van der Plas F, Schröder-Georgi T, Weigelt A, Barry K, Meyer S, Alzate A, Barnard RL, Buchmann N, de Kroon H, Ebeling A, Eisenhauer N, Engels C, Fischer M, Gleixner G, Hildebrandt A, Koller-France E, Leimer S, Milcu A, Mommer L, Niklaus PA, Oelmann Y, Roscher C, Scherber C, Scherer-Lorenzen M, Scheu S, Schmid B, Schulze ED, Temperton V, Tscharntke T, Voigt W, Weisser W, Wilcke W, Wirth C. Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning. Nat Ecol Evol 2020; 4:1602-1611. [PMID: 33020598 DOI: 10.1038/s41559-020-01316-9] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 08/27/2020] [Indexed: 01/06/2023]
Abstract
Earth is home to over 350,000 vascular plant species that differ in their traits in innumerable ways. A key challenge is to predict how natural or anthropogenically driven changes in the identity, abundance and diversity of co-occurring plant species drive important ecosystem-level properties such as biomass production or carbon storage. Here, we analyse the extent to which 42 different ecosystem properties can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analysed, the average percentage of variation in ecosystem properties jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem properties to plant traits analysed no more than six traits and, when including only six traits in our analysis, the average percentage of variation explained in across-year levels of ecosystem properties dropped to 4.8%. Furthermore, we found on average only 12.2% overlap in significant predictors among ecosystem properties, indicating that a small set of key traits able to explain multiple ecosystem properties does not exist. Our results therefore suggest that there are specific limits to the extent to which traits per se can predict the long-term functional consequences of biodiversity change, so that data on additional drivers, such as interacting abiotic factors, may be required to improve predictions of ecosystem property levels.
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Affiliation(s)
- Fons van der Plas
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.
| | - Thomas Schröder-Georgi
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany
| | - Alexandra Weigelt
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.,German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany
| | - Kathryn Barry
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.,German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany
| | - Sebastian Meyer
- Terrestrial Ecology Research Group, School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Adriana Alzate
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany
| | - Romain L Barnard
- Agroécologie, AgroSup Dijon, INRA, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France
| | | | - Hans de Kroon
- Department of Experimental Plant Ecology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Anne Ebeling
- Institute of Ecology and Evolution, University Jena, Jena, Germany
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Institute of Biology, Leipzig University, Leipzig, Germany
| | | | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Gerd Gleixner
- Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Anke Hildebrandt
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.,Friedrich-Schiller-University Jena, Jena, Germany
| | | | - Sophia Leimer
- Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Alexandru Milcu
- Ecotron Européen de Montpellier, Centre National de la Recherche Scientifique, Montferrier-sur-Lez, France.,Centre d'Ecologie Fonctionnelle et Evolutive, CNRS-Université de Montpellier-Université Paul-Valéry Montpellier-EPHE, Montpellier, France
| | - Liesje Mommer
- Plant Ecology and Nature Conservation group, Wageningen University, Wageningen, the Netherlands
| | - Pascal A Niklaus
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | | | - Christiane Roscher
- German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Department of Physiological Diversity, UFZ, Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Christoph Scherber
- Institute of Landscape Ecology, University of Münster, Münster, Germany.,Centre for Biodiversity Monitoring, Zoological Research Museum Alexander Koenig, Bonn, Germany
| | | | - Stefan Scheu
- Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen, Germany.,J.F. Blumenbach Institute of Zoology and Anthropology, Animal Ecology, University of Göttingen, Göttingen, Germany
| | - Bernhard Schmid
- Department of Geography, University of Zurich, Zurich, Switzerland.,Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | | | - Vicky Temperton
- Leuphana University Lüneburg, Institute of Ecology, Universitätsallee 1, Lüneburg, Germany
| | - Teja Tscharntke
- Agroecology, Dept. of Crop Sciences, University of Göttingen, Göttingen, Germany
| | - Winfried Voigt
- Institute of Ecology and Evolution, University Jena, Jena, Germany
| | - Wolfgang Weisser
- Terrestrial Ecology Research Group, School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Wolfgang Wilcke
- Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Christian Wirth
- Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.,German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.,Max Planck Institute for Biogeochemistry, Jena, Germany
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13
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Land-use intensity indirectly affects soil multifunctionality via a cascade effect of plant diversity on soil bacterial diversity. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01061] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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14
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Spatial and temporal variations and significance identification of ecosystem services in the Sanjiangyuan National Park, China. Sci Rep 2020; 10:6151. [PMID: 32273561 PMCID: PMC7145809 DOI: 10.1038/s41598-020-63137-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 03/20/2020] [Indexed: 11/25/2022] Open
Abstract
The establishment of the Sanjiangyuan National Park (SNP) favours implementation of strictest ecological protection on the Tibetan Plateau, thus firmly ensuring national ecological security. To understand ecological background in the SNP, spatial and temporal variations of ecosystem, and its services during the period 2000–2015 and significance identification were analysed by using the methods of remote sensing, GIS and model simulation. The results showed that: (1) Area with extremely important ecosystem services accounted for approximately 51.4% of the SNP’s total area, of which extreme importance water regulation, soil conservation and sand fixation regions contributed 15.3%, 13.7% and 22.4%, respectively. (2) The SNP had formed a spatial pattern of ecosystem services with water regulation as core in the eastern part, soil conservation as core in the central part and sand fixation as core in the western part. (3) For the period 2000–2015, water regulation service generally improved in the SNP. Soil conservation service also improved overall; and sand fixation service exhibited a decreasing trend due to reduction in wind speed and vegetation coverage. (4) Climate warming and humidification, combined with the implementation of ecological protection project in the SNP were the primary reasons for ecosystem services improvement. However, grassland degradation had not yet been fundamentally suppressed, and vegetation coverage was still declining in regional areas. For strict protection and sustainable use of the SNP and its natural resources, overall planning and scientific layout should be paid more attention, and classification and subarea protection should be implemented based on natural ecosystem laws.
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15
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Wen Z, Zheng H, Smith JR, Zhao H, Liu L, Ouyang Z. Functional diversity overrides community-weighted mean traits in linking land-use intensity to hydrological ecosystem services. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 682:583-590. [PMID: 31128371 DOI: 10.1016/j.scitotenv.2019.05.160] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 05/12/2019] [Accepted: 05/12/2019] [Indexed: 06/09/2023]
Abstract
Land-use intensification can importantly influence terrestrial ecosystem services by altering plant functional traits. Although we know that functional traits influence both ecosystem properties and services, we do not fully understand the mechanistic pathways governing these relationships nor how they will respond to global climate change. To identify the impact pathways of land-use intensity on hydrological services under changing precipitation regimes, we monitored hydrological services in 15 plots of different land-use types during 25 precipitation events (6 light, 8 moderate, and 11 heavy rains). Bayesian structural equation modeling was used to quantify the direct and indirect effects between land-use intensity, functional trait components (community weighted mean [CWM] and functional diversity [FD]), ecosystem properties (canopy density, litter fall and fine-root density), and hydrological services under different rainfall intensities. The impact of land-use intensity on hydrological service provisioning was regulated by plant functional traits regardless of intensity rainfall. Under light and moderate rain, FD significantly influenced hydrological services by altering canopy density and fine-root density, but we found no significant effect of CWMs. Under heavy rain, FD had significant, and greater, impacts on hydrological services than CWM of traits, although CWM of traits influenced hydrological services provision indirectly by altering canopy density and fine-root density. Land-use intensity indirectly affected hydrological services mainly by altering FD regardless of rainfall intensification, suggesting that the reduction of niche differentiation caused by land-use intensity is the main mechanism of hydrological services degradation. Our results suggested that the effect of land-use intensity on hydrological services are likely to change with increasing frequency of extreme precipitation events because of the different underlying mechanism at play and emphasize the importance of FD in maintaining hydrological services in respond to global environmental changes.
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Affiliation(s)
- Zhi Wen
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco⁃Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Hua Zheng
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco⁃Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China.
| | - Jeffrey R Smith
- Department of Biology, Stanford University, Stanford, CA, USA; Center for Conservation Biology, Stanford University, Stanford, CA, USA
| | - He Zhao
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco⁃Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Lei Liu
- Hainan Yinggeling National Nature Reserve, Baisha, Hainan, China
| | - Zhiyun Ouyang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco⁃Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
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16
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Miedema LJ, Capmourteres V, Anand M. Impact of land composition and configuration on the functional trait assembly of forest communities in southern Ontario. Ecosphere 2019. [DOI: 10.1002/ecs2.2633] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Liane J. Miedema
- School of Environmental Sciences University of Guelph 50 Stone Road East Guelph Ontario N1G 2W1 Canada
| | - Virginia Capmourteres
- School of Environmental Sciences University of Guelph 50 Stone Road East Guelph Ontario N1G 2W1 Canada
| | - Madhur Anand
- School of Environmental Sciences University of Guelph 50 Stone Road East Guelph Ontario N1G 2W1 Canada
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17
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van der Plas F. Biodiversity and ecosystem functioning in naturally assembled communities. Biol Rev Camb Philos Soc 2019; 94:1220-1245. [PMID: 30724447 DOI: 10.1111/brv.12499] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 01/08/2019] [Accepted: 01/11/2019] [Indexed: 01/10/2023]
Abstract
Approximately 25 years ago, ecologists became increasingly interested in the question of whether ongoing biodiversity loss matters for the functioning of ecosystems. As such, a new ecological subfield on Biodiversity and Ecosystem Functioning (BEF) was born. This subfield was initially dominated by theoretical studies and by experiments in which biodiversity was manipulated, and responses of ecosystem functions such as biomass production, decomposition rates, carbon sequestration, trophic interactions and pollination were assessed. More recently, an increasing number of studies have investigated BEF relationships in non-manipulated ecosystems, but reviews synthesizing our knowledge on the importance of real-world biodiversity are still largely missing. I performed a systematic review in order to assess how biodiversity drives ecosystem functioning in both terrestrial and aquatic, naturally assembled communities, and on how important biodiversity is compared to other factors, including other aspects of community composition and abiotic conditions. The outcomes of 258 published studies, which reported 726 BEF relationships, revealed that in many cases, biodiversity promotes average biomass production and its temporal stability, and pollination success. For decomposition rates and ecosystem multifunctionality, positive effects of biodiversity outnumbered negative effects, but neutral relationships were even more common. Similarly, negative effects of prey biodiversity on pathogen and herbivore damage outnumbered positive effects, but were less common than neutral relationships. Finally, there was no evidence that biodiversity is related to soil carbon storage. Most BEF studies focused on the effects of taxonomic diversity, however, metrics of functional diversity were generally stronger predictors of ecosystem functioning. Furthermore, in most studies, abiotic factors and functional composition (e.g. the presence of a certain functional group) were stronger drivers of ecosystem functioning than biodiversity per se. While experiments suggest that positive biodiversity effects become stronger at larger spatial scales, in naturally assembled communities this idea is too poorly studied to draw general conclusions. In summary, a high biodiversity in naturally assembled communities positively drives various ecosystem functions. At the same time, the strength and direction of these effects vary highly among studies, and factors other than biodiversity can be even more important in driving ecosystem functioning. Thus, to promote those ecosystem functions that underpin human well-being, conservation should not only promote biodiversity per se, but also the abiotic conditions favouring species with suitable trait combinations.
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Affiliation(s)
- Fons van der Plas
- Systematic Botany and Functional Biodiversity, Institute of Biology, Leipzig University, Johannisallee 21-23, 04103 Leipzig, Germany
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