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Li Y, Wang J, Zhang R, Tian D, Pan J, Liu N, Quan Q, Chu H, Wang Q, Zhou R, Wu F, Zhou Q, Niu S. Soil Bacterial β-Diversity as a Key Determinant of Belowground Productivity in Warming Alpine Ecosystems. GLOBAL CHANGE BIOLOGY 2025; 31:e70161. [PMID: 40208740 DOI: 10.1111/gcb.70161] [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: 12/02/2024] [Revised: 03/12/2025] [Accepted: 03/15/2025] [Indexed: 04/12/2025]
Abstract
Climate warming has profound effects on terrestrial ecosystems, with biodiversity playing a crucial role in modulating ecosystem productivity responses. While extensive studies have investigated how plant species richness (α-diversity) influences aboveground productivity under warming conditions, the contributions of plant and soil microbial β-diversity to belowground net primary productivity (BNPP) remain poorly understood. In this study, we conducted a 6-year warming experiment in an alpine meadow to investigate the response patterns and drivers of BNPP, as well as the α- and β-diversity of plant and soil microbial communities. Our results showed that warming increased BNPP by 41.41%-90.3%, with biodiversity metrics collectively accounting for about 86% of the variation in BNPP. Notably, while climate warming significantly reduced the α-diversity of both plant (p = 0.067) and soil bacterial communities (p < 0.05), soil bacterial β-diversity showed a marked increase. The enhancement in soil bacterial β-diversity was closely linked to increased gene abundance associated with ammonification and nitrification processes, identified as key drivers of BNPP under warming conditions. These findings underscore the pivotal role of soil microbial β-diversity in supporting BNPP under warming conditions. Our study highlights the need to preserve belowground microbial heterogeneity to maintain ecosystem functioning and enhance carbon sequestration efforts in the face of global climate change.
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Affiliation(s)
- Yang Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Jinsong Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Department of Environment and Resources, University of Chinese Academy of Sciences, Beijing, China
| | - Ruiyang Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Department of Environment and Resources, University of Chinese Academy of Sciences, Beijing, China
| | - Dashuan Tian
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Department of Environment and Resources, University of Chinese Academy of Sciences, Beijing, China
| | - Junxiao Pan
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Ning Liu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Department of Environment and Resources, University of Chinese Academy of Sciences, Beijing, China
| | - Quan Quan
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Houkun Chu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Quancheng Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Ronglei Zhou
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Department of Environment and Resources, University of Chinese Academy of Sciences, Beijing, China
| | - Fei Wu
- College of Grassland Resources, Southwest Minzu University, Chengdu, China
| | - Qingping Zhou
- College of Grassland Resources, Southwest Minzu University, Chengdu, China
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Department of Environment and Resources, University of Chinese Academy of Sciences, Beijing, China
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Runnel K, Tedersoo L, Krah FS, Piepenbring M, Scheepens JF, Hollert H, Johann S, Meyer N, Bässler C. Toward harnessing biodiversity-ecosystem function relationships in fungi. Trends Ecol Evol 2025; 40:180-190. [PMID: 39532622 DOI: 10.1016/j.tree.2024.10.004] [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: 03/28/2024] [Revised: 10/06/2024] [Accepted: 10/14/2024] [Indexed: 11/16/2024]
Abstract
Fungi are crucial for terrestrial ecosystems, yet the role of fungal diversity in ecosystem functions remains unclear. We synthesize fungal biodiversity and ecosystem function (BEF) relationships, focusing on plant biomass production, carbon storage, decomposition, and pathogen or parasite resistance. The observed BEF relationships for these ecosystem functions vary in strength and direction, complicating generalizations. Strong positive relationships are generally observed when multiple ecosystem functions are addressed simultaneously. Often, fungal community composition outperforms species richness in predicting ecosystem functions. For more comprehensive fungal BEF research, we recommend studying natural communities, considering the simultaneous functions of a broader array of fungal guilds across spatiotemporal scales, and integrating community assembly concepts into BEF research. For this, we propose a conceptual framework and testable hypotheses.
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Affiliation(s)
- Kadri Runnel
- Goethe University Frankfurt, Faculty of Biological Sciences, Institute for Ecology, Evolution and Diversity, 60438 Frankfurt am Main, Germany; University of Tartu, Institute of Ecology and Earth Sciences, 50409 Tartu, Estonia.
| | - Leho Tedersoo
- University of Tartu, Institute of Ecology and Earth Sciences, 50409 Tartu, Estonia
| | - Franz-Sebastian Krah
- University of Bayreuth, Bayreuth Center of Ecology and Environmental Research (BayCEER), Fungal Ecology, 95440 Bayreuth, Germany; Global Change Research Institute of the Czech Academy of Sciences, 60300 Brno, Czech Republic
| | - Meike Piepenbring
- Goethe University Frankfurt, Faculty of Biological Sciences, Institute for Ecology, Evolution and Diversity, 60438 Frankfurt am Main, Germany
| | - J F Scheepens
- Goethe University Frankfurt, Faculty of Biological Sciences, Institute for Ecology, Evolution and Diversity, 60438 Frankfurt am Main, Germany
| | - Henner Hollert
- Goethe University Frankfurt, Faculty of Biological Sciences, Institute for Ecology, Evolution and Diversity, 60438 Frankfurt am Main, Germany; Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany; LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
| | - Sarah Johann
- Goethe University Frankfurt, Faculty of Biological Sciences, Institute for Ecology, Evolution and Diversity, 60438 Frankfurt am Main, Germany
| | - Nele Meyer
- Goethe University Frankfurt, Faculty of Biological Sciences, Institute for Ecology, Evolution and Diversity, 60438 Frankfurt am Main, Germany
| | - Claus Bässler
- Goethe University Frankfurt, Faculty of Biological Sciences, Institute for Ecology, Evolution and Diversity, 60438 Frankfurt am Main, Germany; University of Bayreuth, Bayreuth Center of Ecology and Environmental Research (BayCEER), Fungal Ecology, 95440 Bayreuth, Germany; Global Change Research Institute of the Czech Academy of Sciences, 60300 Brno, Czech Republic
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3
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Wang P, Wang J, Wang S, D'Imperio L, Elberling B, Ambus P, Zhang Z, Ito A, Li Y, Pan J, Song L, Liu N, Zhang R, Chen W, Niu S. Soil Moisture Threshold of Methane Uptake in Alpine Grassland Ecosystems. GLOBAL CHANGE BIOLOGY 2025; 31:e70062. [PMID: 39905848 DOI: 10.1111/gcb.70062] [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: 04/30/2024] [Revised: 12/31/2024] [Accepted: 01/12/2025] [Indexed: 02/06/2025]
Abstract
Methane (CH4) uptake in alpine ecosystems is an important component of the global CH4 sink. However, large uncertainties remain regarding the magnitude and spatial patterns of CH4 uptake, owing to its extensive spatial variability, diverse controlling factors, and limited regional-scale observations. Here, we investigated field ecosystem CH4 uptake along a 3200-km transect across various alpine grasslands on the Qinghai-Tibetan Plateau (QTP). We found a substantial spatial variation in in situ CH4 uptake among alpine grasslands, with the highest rates in drier regions of the mid-western QTP. Soil moisture was the most important factor controlling CH4 uptake, exhibiting a remarkably low threshold of 6.2 ± 0.1 v/v %. Below this threshold, CH4 uptake was constrained by soil moisture, moisture-induced nitrogen limitation, and high temperatures. Above this threshold, CH4 uptake was mainly limited by gas diffusion and low temperatures. By integrating grid predictors with a random forest model trained on 1851 field measurements encompassing both our observations and a regional synthesis across the QTP, we estimated a regional CH4 uptake of 0.88 ± 0.020 Tg CH4 year-1 from all alpine grasslands on the QTP. This higher estimate, primarily driven by alpine steppes, was significantly greater than current regional estimates from global CH4 models. Our findings highlight the importance of CH4 sink in dry alpine ecosystems characterized by low soil moisture, suggesting that the contribution of CH4 sink in drylands may have been substantially underestimated in the current global CH4 budget.
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Affiliation(s)
- Peiyan Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- Center for Permafrost (CENPERM), Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Jinsong Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Song Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Ludovica D'Imperio
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Frederiksberg C, Denmark
| | - Bo Elberling
- Center for Permafrost (CENPERM), Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Per Ambus
- Center for Permafrost (CENPERM), Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
- Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT), Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Zhen Zhang
- National Tibetan Plateau Data Center (TPDC), State Key Laboratory of Tibetan Plateau Earth System, Environment and Resource (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Akihiko Ito
- Graduate School of Life and Agricultural Sciences, The University of Tokyo, Tokyo, Japan
| | - Yang Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Junxiao Pan
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Lei Song
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Ning Liu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Ruiyang Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Weinan Chen
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
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Yu Q, He C, Anthony MA, Schmid B, Gessler A, Yang C, Zhang D, Ni X, Feng Y, Zhu J, Zhu B, Wang S, Ji C, Tang Z, Wu J, Smith P, Liu L, Li MH, Schaub M, Fang J. Decoupled responses of plants and soil biota to global change across the world's land ecosystems. Nat Commun 2024; 15:10369. [PMID: 39609374 PMCID: PMC11605088 DOI: 10.1038/s41467-024-54304-z] [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: 03/01/2024] [Accepted: 11/05/2024] [Indexed: 11/30/2024] Open
Abstract
Understanding the concurrent responses of aboveground and belowground biota compartments to global changes is crucial for the maintenance of ecosystem functions and biodiversity conservation. We conduct a comprehensive analysis synthesizing data from 13,209 single observations and 3223 pairwise observations from 1166 publications across the world terrestrial ecosystems to examine the responses of plants and soil organisms and their synchronization. We find that global change factors (GCFs) generally promote plant biomass but decreased plant species diversity. In comparison, the responses of belowground soil biota to GCFs are more variable and harder to predict. The analysis of the paired aboveground and belowground observations demonstrate that responses of plants and soil organisms to GCFs are decoupled among diverse groups of soil organisms for different biomes. Our study highlights the importance of integrative research on the aboveground-belowground system for improving predictions regarding the consequences of global environmental change.
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Affiliation(s)
- Qingshui Yu
- 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
- Swiss Federal Institute of Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, Switzerland
| | - Chenqi He
- 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
| | - Mark A Anthony
- Swiss Federal Institute of Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, Switzerland
- Center for Microbiology & Environmental Systems Science, Division of Terrestrial Ecosystem Research, University of Vienna, Djerassiplatz 1, Vienna, Austria
| | - Bernhard Schmid
- Department of Geography, Remotes Sensing Laboratories, University of Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland
| | - Arthur Gessler
- Swiss Federal Institute of Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, Switzerland
- Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zürich, Zürich, Switzerland
| | - Chen Yang
- 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
| | - Danhua Zhang
- 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
| | - Xiaofeng Ni
- 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
| | - Yuhao 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, China
| | - Jiangling 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
| | - 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
| | - Shaopeng Wang
- 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
| | - Chengjun Ji
- 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
| | - Zhiyao Tang
- 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
| | - Jin Wu
- Research Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Pete Smith
- Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Lingli Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, China
| | - Mai-He Li
- Swiss Federal Institute of Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, Switzerland
- Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun, Jilin, China
- College of Life Science, Hebei University, Baoding, Hebei, China
| | - Marcus Schaub
- Swiss Federal Institute of Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, Switzerland
| | - Jingyun Fang
- 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.
- College of Ecology and Environmental Sciences, Yunnan University, Chenggong, Kunming, China.
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5
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Nie Y, Xu L, Xin X, Ye L. Long-term grassland diversity-productivity relationship regulated by management regimes in northern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175084. [PMID: 39074747 DOI: 10.1016/j.scitotenv.2024.175084] [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: 04/16/2024] [Revised: 07/23/2024] [Accepted: 07/25/2024] [Indexed: 07/31/2024]
Abstract
Grasslands are the most extensively distributed terrestrial ecosystems on Earth, providing a range of ecosystem services that are vital for sustaining human life and critical for sustainable development at the global scale. However, the relationship between the two most important attributes of grassland, plant diversity, and productivity, remains controversial even after many years of research. Here, we develop an analysis of covariance (ANCOVA) model based on decadal-scale experimental data from a degraded meadow steppe in northeastern Inner Mongolia, China to quantify the response of aboveground biomass (AGB) to plant species diversity under varying management regimes. We report that AGB responds negatively to the plant diversity in fallow grasslands and positively in grazing grasslands, transiting from negative to positive in mowing grasslands as mowing became more frequent. We show that the changing diversity-productivity relationships are driven by changes in species composition of the plant community, given the significant productivity gap between rare and non-rare species. This highlights the role of management in regulating the diversity-productivity relationships in grasslands. These results not only provide provocative insights into the relationships between plant diversity and productivity but also support more sustainable use and management of grassland resources.
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Affiliation(s)
- Yingying Nie
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China.
| | - Lijun Xu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China.
| | - Xiaoping Xin
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China.
| | - Liming Ye
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China; Ghent University, Department of Geology, Krijgslaan 281, 9000 Gent, Belgium.
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Fang J, Liu Z, Deng Y, Song B, Adams JM. Key microbial taxa play essential roles in maintaining soil muti-nutrient cycling following an extreme drought event in ecological buffer zones along the Yangtze River. FRONTIERS IN PLANT SCIENCE 2024; 15:1460462. [PMID: 39297006 PMCID: PMC11408313 DOI: 10.3389/fpls.2024.1460462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 08/20/2024] [Indexed: 09/21/2024]
Abstract
Climatic extremes, especially extreme droughts, are occurring more frequently and profoundly impacting biogeochemical processes. However, the relative importance of microbial communities on soil nutrient cycling and community maintenance under natural extreme drought events remains elusive. During a record-breaking drought in the Yangtze River Basin (YRB) in the summer of 2022, we collected ambient soils and drought-affected bare and vegetated soils in ecological buffer zones from two sites with similar soil and vegetation characteristics along the YRB, and examined the relative contribution of soil bacterial communities in supporting multi-nutrient cycling index (MNCI) involving carbon-, nitrate- and phosphorus-cycling and their associations with microbial network. Extreme drought decreased (p < 0.05) bacterial α-diversity but increased MNCI in vegetated soils at both sites, while both remained unchanged (p > 0.05) in bare soils, possibly as a result of vegetation releasing rhizodeposits under drought which selectively recruited bacterial communities. Bacterial community compositions were shifted (p < 0.05) only in vegetated soils, and they exerted more influence than α-diversity on soil MNCI. Notably, the Anaerolineae, identified as a biomarker enriched in vegetated soils, had close associations with enzyme activities and soil MNCI at both sites, suggesting their potential recruitment by vegetation to withstand drought. Furthermore, key ecological clusters (Module 1) in bacterial co-occurrence networks at both sites supported (p < 0.05) higher MNCI, despite no substantial variation in network structure due to drought. Specifically, the most important taxa within Module 1 for predicting soil MNCI revealed by random forest modeling analysis (R2 = 0.44 - 0.63, p < 0.001), such as B1-7BS, SBR1031 and Nocardioides, could be deeply involved in soil nitrogen-cycling, suggesting an essential role of specialized interactions of bacterial communities in maintaining soil multifunctionality. Overall, this study demonstrates that changes in biomarkers and functional taxa under extreme drought may better reflect the biological mechanisms involved in microbial communities impacting ecosystem function, which may aid in forecasting the ecological consequences of ongoing climate change in the ecological buffer zones along the YRB.
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Affiliation(s)
- Jie Fang
- School of Geography and Ocean Sciences, Nanjing University, Nanjing, China
| | - Zihao Liu
- School of Geography and Ocean Sciences, Nanjing University, Nanjing, China
| | - Yongcui Deng
- School of Geography, Nanjing Normal University, Nanjing, China
| | - Bin Song
- School of Geography and Ocean Sciences, Nanjing University, Nanjing, China
- Department of Forest Sciences, University of Helsinki, Helsinki, Finland
| | - Jonathan M Adams
- School of Geography and Ocean Sciences, Nanjing University, Nanjing, China
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7
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Wang B, Wang S, Wu L, Wu Y, Wang S, Bai Y, Chen D. Temporal asynchrony of plant and soil biota determines ecosystem multifunctional stability. GLOBAL CHANGE BIOLOGY 2024; 30:e17483. [PMID: 39171768 DOI: 10.1111/gcb.17483] [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: 02/18/2024] [Revised: 07/17/2024] [Accepted: 07/29/2024] [Indexed: 08/23/2024]
Abstract
The role of plant biodiversity in stabilizing ecosystem multifunctionality has been extensively studied; however, the impact of soil biota biodiversity on ecosystem multifunctional stability, particularly under multiple environmental changes, remains unexplored. By conducting an experiment with environmental changes (adding water and nitrogen to a long-term grazing experiment) and an experiment without environmental changes (an undisturbed site) in semi-arid grasslands, our research revealed that environmental changes-induced changes in temporal stability of both above- and belowground multifunctionality were mainly impacted by plant and soil biota asynchrony, rather than by species diversity. Furthermore, changes in temporal stability of above- and belowground multifunctionality, under both experiments with and without environmental changes, were mainly associated with plant and soil biota asynchrony, respectively, suggesting that the temporal asynchrony of plant and soil biota has independent and non-substitutable effects on multifunctional stability. Our findings emphasize the importance of considering both above- and belowground biodiversity or functions when evaluating the stabilizing effects of biodiversity on ecosystem functions.
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Affiliation(s)
- Bing 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, China
- Engineering Research Center of Eco-Environment in Three Gorges Reservoir Region of Ministry of Education, China Three Gorges University, Yichang, China
| | - Shuaifei 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, China
| | - Liji 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, China
| | - Ying 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, China
| | - Shaopeng Wang
- 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
| | - Yongfei Bai
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Dima Chen
- 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, China
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8
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Peng J, Ma F, Quan Q, Liao J, Chen C, Wang Y, Tang J, Sun C, Zhou Q, Niu S. Nitrogen deposition differentially regulates the sensitivity of gross primary productivity to extreme drought versus wetness. GLOBAL CHANGE BIOLOGY 2024; 30:e17428. [PMID: 39021355 DOI: 10.1111/gcb.17428] [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: 02/18/2024] [Revised: 05/13/2024] [Accepted: 06/29/2024] [Indexed: 07/20/2024]
Abstract
Global hydroclimatic variability is increasing with more frequent extreme dry and wet years, severely destabilizing terrestrial ecosystem productivity. However, what regulates the consequence of precipitation extremes on productivity remains unclear. Based on a 9-year field manipulation experiment on the Qinghai-Tibetan Plateau, we found that the responses of gross primary productivity (GPP) to extreme drought and wetness were differentially regulated by nitrogen (N) deposition. Over increasing N deposition, extreme dry events reduced GPP more. Among the 12 biotic and abiotic factors examined, this was mostly explained by the increased plant canopy height and proportion of drought-sensitive species under N deposition, making photosynthesis more sensitive to hydraulic stress. While extreme wet events increased GPP, their effect did not shift over N deposition. These site observations were complemented by a global synthesis derived from the GOSIF GPP dataset, which showed that GPP sensitivity to extreme drought was larger in ecosystems with higher N deposition, but GPP sensitivity to extreme wetness did not change with N deposition. Our findings indicate that intensified hydroclimatic variability would lead to a greater loss of land carbon sinks in the context of increasing N deposition, due to that GPP losses during extreme dry years are more pronounced, yet without a synchronous increase in GPP gains during extreme wet years. The study implies that the conservation and management against climate extremes merit particular attention in ecosystems subject to N deposition.
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Affiliation(s)
- Jinlong Peng
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Fangfang Ma
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Quan Quan
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Jiaqiang Liao
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Chen Chen
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Yiheng Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Jiwang Tang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Chuanlian Sun
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
| | - Qingping Zhou
- Institute of Qinghai-Tibetan Plateau, Southwest University for Nationalities, Chengdu, China
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Chengdu, China
| | - Shuli Niu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
- Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, Chengdu, China
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9
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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 PMCID: PMC10935182 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
| | - 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
| | - 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
| | - 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
| | - 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
| | - 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
| | - 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
| | - 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; (X.Z.); (Y.W.); (J.W.); (M.Y.); (R.Z.); (Y.M.); (J.X.)
- 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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10
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Feng J, Ma H, Wang C, Gao J, Zhai C, Jiang L, Wan S. Water rather than nitrogen availability predominantly modulates soil microbial beta-diversity and co-occurrence networks in a secondary forest. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:167996. [PMID: 37871812 DOI: 10.1016/j.scitotenv.2023.167996] [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: 08/12/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 10/25/2023]
Abstract
Atmospheric nitrogen (N) deposition and changing precipitation regimes greatly affect the structure and functions of terrestrial ecosystems. However, their impacts on the diversity and assembly of soil microbial communities including bacteria, fungi and protists, remain largely unclear. As part of a six-year field experiment in a secondary forest in a warm temperate and subtropical climate transitional zone in China, we aimed to investigate the responses of soil microbial communities to N addition, increased and decreased precipitation. The results showed that N addition had no effect on soil microbial α- or β-diversity, but reduced the complexity of microbial network. Neither increased nor decreased precipitation influenced soil microbial α-diversity, but decreased precipitation rather than increased precipitation elevated bacterial and protistan community dissimilarities (β-diversity), which could have been largely attributed to species replacement processes through reducing soil water availability. In addition, decreased precipitation weakened microbial complexity and stability, but enhanced the node proportion of protists in the co-occurrence network. Our observations suggest the asymmetric responses of soil microbial β-diversity to increased and decreased precipitation, and underscore that water rather than N availability, especially drought condition, plays a predominant role in modulating soil microbial β-diversity. Moreover, the findings imply that global change can strengthen the importance of soil protists and then reshape microbial assembly in forests.
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Affiliation(s)
- Jiayin Feng
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding 071002, PR China
| | - Huixia Ma
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding 071002, PR China
| | - Chunyu Wang
- School of Life Sciences, Henan Normal University, Xinxiang, Henan 453007, PR China
| | - Jingjing Gao
- School of Life Sciences, Henan Normal University, Xinxiang, Henan 453007, PR China
| | - Changchun Zhai
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding 071002, PR China
| | - Lin Jiang
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Shiqiang Wan
- School of Life Sciences/Hebei Basic Science Center for Biotic Interaction, Institute of Life Science and Green Development, Hebei University, Baoding 071002, PR China.
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11
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van der Plas F, Hennecke J, Chase JM, van Ruijven J, Barry KE. Universal beta-diversity-functioning relationships are neither observed nor expected. Trends Ecol Evol 2023; 38:532-544. [PMID: 36806396 DOI: 10.1016/j.tree.2023.01.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 12/22/2022] [Accepted: 01/19/2023] [Indexed: 02/19/2023]
Abstract
Widespread evidence shows that local species richness (α-diversity) loss hampers the biomass production and stability of ecosystems. β-Diversity, namely the variation of species compositions among different ecological communities, represents another important biodiversity component, but studies on how it drives ecosystem functioning show mixed results. We argue that to better understand the importance of β-diversity we need to consider it across contexts. We focus on three scenarios that cause gradients in β-diversity: changes in (i) abiotic heterogeneity, (ii) habitat isolation, and (iii) species pool richness. We show that across these scenarios we should not expect universally positive relationships between β-diversity, production, and ecosystem stability. Nevertheless, predictable relationships between β-diversity and ecosystem functioning do exist in specific contexts, and can reconcile seemingly contrasting empirical relationships.
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Affiliation(s)
- Fons van der Plas
- Plant Ecology and Nature Conservation Group, Wageningen University, PO Box 47, 6700, AA, Wageningen, The Netherlands.
| | - Justus Hennecke
- Systematic Botany and Functional Biodiversity, Leipzig University, Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Institute of Computer Science, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
| | - Jasper van Ruijven
- Plant Ecology and Nature Conservation Group, Wageningen University, PO Box 47, 6700, AA, Wageningen, The Netherlands
| | - Kathryn E Barry
- Ecology and Biodiversity Group, Dept of Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
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