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Li Y, Schuldt A, Ebeling A, Eisenhauer N, Huang Y, Albert G, Albracht C, Amyntas A, Bonkowski M, Bruelheide H, Bröcher M, Chesters D, Chen J, Chen Y, Chen JT, Ciobanu M, Deng X, Fornoff F, Gleixner G, Guo L, Guo PF, Heintz-Buschart A, Klein AM, Lange M, Li S, Li Q, Li Y, Luo A, Meyer ST, von Oheimb G, Rutten G, Scholten T, Solbach MD, Staab M, Wang MQ, Zhang N, Zhu CD, Schmid B, Ma K, Liu X. Plant diversity enhances ecosystem multifunctionality via multitrophic diversity. Nat Ecol Evol 2024:10.1038/s41559-024-02517-2. [PMID: 39209981 DOI: 10.1038/s41559-024-02517-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 07/24/2024] [Indexed: 09/04/2024]
Abstract
Ecosystem functioning depends on biodiversity at multiple trophic levels, yet relationships between multitrophic diversity and ecosystem multifunctionality have been poorly explored, with studies often focusing on individual trophic levels and functions and on specific ecosystem types. Here, we show that plant diversity can affect ecosystem functioning both directly and by affecting other trophic levels. Using data on 13 trophic groups and 13 ecosystem functions from two large biodiversity experiments-one representing temperate grasslands and the other subtropical forests-we found that plant diversity increases multifunctionality through elevated multitrophic diversity. Across both experiments, the association between multitrophic diversity and multifunctionality was stronger than the relationship between the diversity of individual trophic groups and multifunctionality. Our results also suggest that the role of multitrophic diversity is greater in forests than in grasslands. These findings imply that, to promote sustained ecosystem multifunctionality, conservation planning must consider the diversity of both plants and higher trophic levels.
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Affiliation(s)
- Yi Li
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Andreas Schuldt
- Forest Nature Conservation, University of Göttingen, Göttingen, Germany
| | - Anne Ebeling
- Institute of Ecology and Evolution, University of Jena, Jena, Germany
| | - Nico Eisenhauer
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biology, Leipzig University, Leipzig, Germany
| | - Yuanyuan Huang
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biology, Leipzig University, Leipzig, Germany
| | - Georg Albert
- Forest Nature Conservation, University of Göttingen, Göttingen, Germany
| | - Cynthia Albracht
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Angelos Amyntas
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biodiversity, Friedrich Schiller University, Jena, Germany
| | | | - Helge Bruelheide
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | | | - Douglas Chesters
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jun Chen
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yannan Chen
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Biological Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jing-Ting Chen
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Biological Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Marcel Ciobanu
- Institute of Biological Research, Branch of the National Institute of Research and Development for Biological Sciences, Cluj-Napoca, Romania
| | - Xianglu Deng
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Felix Fornoff
- Chair of Nature Conservation and Landscape Ecology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
| | - Gerd Gleixner
- Department of Biogeochemical Processes (BGP), Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Liangdong Guo
- College of Biological Sciences, University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Peng-Fei Guo
- College of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Anna Heintz-Buschart
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Alexandra-Maria Klein
- Chair of Nature Conservation and Landscape Ecology, Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany
- Centre for Environmental and Climate Science, Lund University, Lund, Sweden
| | - Markus Lange
- Department of Biogeochemical Processes (BGP), Max Planck Institute for Biogeochemistry, Jena, Germany
| | - Shan Li
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Qi Li
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
| | - Yingbin Li
- CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
| | - Arong Luo
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Sebastian T Meyer
- Department of Life Science Systems, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Goddert von Oheimb
- Institute of General Ecology and Environmental Protection, TUD Dresden University of Technology, Tharandt, Germany
| | - Gemma Rutten
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Thomas Scholten
- Department of Geosciences, Soil Science and Geomorphology, University of Tübingen, Tübingen, Germany
| | | | - Michael Staab
- Ecological Networks, Technical University of Darmstadt, Darmstadt, Germany
| | - Ming-Qiang Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Biodiversity Conservation, Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Naili Zhang
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China
| | - Chao-Dong Zhu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Biological Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Bernhard Schmid
- Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, Switzerland
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Xiaojuan Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
- Zhejiang Qianjiangyuan Forest Biodiversity National Observation and Research Station, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
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Phillips H, Cameron E, Eisenhauer N. Illuminating biodiversity changes in the ‘Black Box’. RESEARCH IDEAS AND OUTCOMES 2022. [DOI: 10.3897/rio.8.e87143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Soil is often described as a ‘black box’, as surprisingly little is known about the high levels of biodiversity that reside there. For aboveground organisms, we have good knowledge of the distribution of the species and how they might change under future human impacts. Yet despite the fact that soil organisms provide a wide variety of ecosystem functions, we have very limited knowledge of their distribution and how their diversity might change in the future. In order to create accurate and generalisable models of biodiversity, the underlying data need to be representative of the entire globe. Yet even with our recently compiled global earthworm dataset of over 11000 sites, there are gaps across large regions. These gaps are consistent across many other datasets of both above- and belowground diversity. In order to fill the gaps we propose a sampling network (SoilFaUNa), to create a comprehensive database of soil macrofauna diversity and soil functions (e.g. decomposition rates). Building on the existing dataset of earthworm diversity and early data from the SoilFaUNa project, we will investigate changes in earthworm diversity. From our current work, we know that both climate and land use are main drivers in predicting earthworm diversity, but both will change under future scenarios and may alter ecosystem functions. We will, using space-for-time substitution models, estimate how earthworm diversity and their functions might change in the future, modelling earthworm diversity as a function of climate, land use and soil properties and predicting based on future scenarios. Previous studies of aboveground diversity changes over time using time-series analysis have found no-net-loss in richness, but analyses have criticisms. We aim to use time-series data on earthworms to move this debate forward, by using data and statistical methods that would address the criticisms, whilst increasing our knowledge on this understudied soil group. Field experiments and micro-/mesocosm experiments have been used to investigate the link between a number of soil organisms and ecosystem functions under few environmental conditions. Meta-analyses, which can produce generalisable results can only answer questions for which there are data. Thus, we have been lacking on information on the link between the entire community of soil fauna and ecosystem functions and impact of changes to the soil fauna community across environmental contexts. Using data collected from the SoilFaUNa project, we will, for the first time, synthesise globally distributed specifically-sampled data to model how changes in the community composition of soil macrofauna (due to changes in land use, climate or soil properties) impact the ecosystem functions in the soil.
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