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He M, Barry KE, Soons MB, Allan E, Cappelli SL, Craven D, Doležal J, Isbell F, Lanta V, Lepš J, Liang M, Mason N, Palmborg C, Pichon NA, da Silveira Pontes L, Reich PB, Roscher C, Hautier Y. Cumulative nitrogen enrichment alters the drivers of grassland overyielding. Commun Biol 2024; 7:309. [PMID: 38467761 PMCID: PMC10928195 DOI: 10.1038/s42003-024-05999-9] [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: 08/01/2023] [Accepted: 03/01/2024] [Indexed: 03/13/2024] Open
Abstract
Effects of plant diversity on grassland productivity, or overyielding, are found to be robust to nutrient enrichment. However, the impact of cumulative nitrogen (N) addition (total N added over time) on overyielding and its drivers are underexplored. Synthesizing data from 15 multi-year grassland biodiversity experiments with N addition, we found that N addition decreases complementarity effects and increases selection effects proportionately, resulting in no overall change in overyielding regardless of N addition rate. However, we observed a convex relationship between overyielding and cumulative N addition, driven by a shift from complementarity to selection effects. This shift suggests diminishing positive interactions and an increasing contribution of a few dominant species with increasing N accumulation. Recognizing the importance of cumulative N addition is vital for understanding its impacts on grassland overyielding, contributing essential insights for biodiversity conservation and ecosystem resilience in the face of increasing N deposition.
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Affiliation(s)
- Miao He
- Ecology and Biodiversity group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands.
- Department of Ecology, Evolution, and Behavior, University of Minnesota, 1479 Gortner Ave, St Paul, MN, 55108, USA.
| | - Kathryn E Barry
- Ecology and Biodiversity group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands
| | - Merel B Soons
- Ecology and Biodiversity group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands
| | - Eric Allan
- Institute of Plant Sciences, University of Bern, Altenbergrain 21, 3013, Bern, Switzerland
- Centre for Development and Environment CDE, University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland
| | - Seraina L Cappelli
- Department of Ecology, Evolution, and Behavior, University of Minnesota, 1479 Gortner Ave, St Paul, MN, 55108, USA
- Institute of Plant Sciences, University of Bern, Altenbergrain 21, 3013, Bern, Switzerland
| | - Dylan Craven
- GEMA Center for Genomics, Ecology & Environment, Universidad Mayor, Camino La Pirámide, 5750, Huechuraba, Santiago, Chile
- Data Observatory Foundation, ANID Technology Center No. DO210001, Eliodoro Yáñez 2990, 7510277, Providencia, Santiago, Chile
| | - Jiří Doležal
- Department of Functional Ecology, Institute of Botany of the Czech Academy of Sciences, Zámek 1, 252 43, Průhonice, Czech Republic
- Department of Botany, Faculty of Science, University of South Bohemia, Na Zlaté stoce 1, 370 05, České Budějovice, Czech Republic
| | - Forest Isbell
- Department of Ecology, Evolution, and Behavior, University of Minnesota, 1479 Gortner Ave, St Paul, MN, 55108, USA
| | - Vojtěch Lanta
- Department of Functional Ecology, Institute of Botany of the Czech Academy of Sciences, Zámek 1, 252 43, Průhonice, Czech Republic
| | - Jan Lepš
- Department of Botany, Faculty of Science, University of South Bohemia, Na Zlaté stoce 1, 370 05, České Budějovice, Czech Republic
| | - Maowei Liang
- Cedar Creek Ecosystem Science Reserve, University of Minnesota, 2660 Fawn Lake Dr NE, East Bethel, MN, 55005, USA
| | - Norman Mason
- Landcare Research, Private Bag 3127, Hamilton, 3240, New Zealand
| | - Cecilia Palmborg
- Department of Crop production Ecology, Swedish University of Agricultural Sciences, 901 83, Umeå, Sweden
| | - Noémie A Pichon
- Institute of Plant Sciences, University of Bern, Altenbergrain 21, 3013, Bern, Switzerland
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, CH-8903, Birmensdorf, Switzerland
| | - Laíse da Silveira Pontes
- Rural Development Institute of Paraná - IAPAR-EMATER, Av. Euzébio de Queirós, s/n°, CP 129, CEP 84001-970, Ponta Grossa, PR, Brazil
| | - Peter B Reich
- Department of Forest Resources, University of Minnesota, 1479 Gortner Ave, St Paul, MN, 55108, USA
- Institute for Global Change Biology, and School for the Environment and Sustainability, University of Michigan, 440 Church Street, Ann Arbor, MI, 48109, USA
| | - Christiane Roscher
- UFZ, Helmholtz Centre for Environmental Research, Physiological Diversity, Permoserstrasse 15, 04318, Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv), Puschstrasse 4, 04103, Leipzig, Germany
| | - Yann Hautier
- Ecology and Biodiversity group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH, Utrecht, The Netherlands
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2
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Zhou M, Guan X, Deng T, Hu R, Qian L, Yang X, Wu B, Li J, He Q, Shu L, Yan Q, He Z. Synthetic phylogenetically diverse communities promote denitrification and stability. ENVIRONMENTAL RESEARCH 2023; 231:116184. [PMID: 37207729 DOI: 10.1016/j.envres.2023.116184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/11/2023] [Accepted: 05/15/2023] [Indexed: 05/21/2023]
Abstract
Denitrification is an important process of the global nitrogen cycle as some of its intermediates are environmentally important or related to global warming. However, how the phylogenetic diversity of denitrifying communities affects their denitrification rates and temporal stability remains unclear. Here we selected denitrifiers based on their phylogenetic distance to construct two groups of synthetic denitrifying communities: one closely related (CR) group with all strains from the genus Shewanella and the other distantly related (DR) group with all constituents from different genera. All synthetic denitrifying communities (SDCs) were experimentally evolved for 200 generations. The results showed that high phylogenetic diversity followed by experimental evolution promoted the function and stability of synthetic denitrifying communities. Specifically, the productivity and denitrification rates were significantly (P < 0.05) higher with Paracocus denitrificans as the dominant species (since the 50th generation) in the DR community than those in the CR community. The DR community also showed significantly (t = 7.119, df = 10, P < 0.001) higher stability through overyielding and asynchrony of species fluctuations, and showed more complementarity than the CR group during the experimental evolution. This study has important implications for applying synthetic communities to remediate environmental problems and mitigate greenhouse gas emissions.
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Affiliation(s)
- Min Zhou
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Xiaotong Guan
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Ting Deng
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Ruiwen Hu
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Lu Qian
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Xueqin Yang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Bo Wu
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Juan Li
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Qiang He
- Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN, 37996, USA
| | - Longfei Shu
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China
| | - Qingyun Yan
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China.
| | - Zhili He
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510006, China; College of Agronomy, Hunan Agricultural University, Changsha, 410128, China.
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3
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Larkin DJ, Glasenhardt MC, Williams EW, Karimi N, Barak RS, Leavens E, Hipp AL. Evolutionary history shapes grassland productivity through opposing effects on complementarity and selection. Ecology 2023; 104:e4129. [PMID: 37342067 DOI: 10.1002/ecy.4129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 05/17/2023] [Accepted: 06/12/2023] [Indexed: 06/22/2023]
Abstract
Phylogenetic diversity (PD), the evolutionary history of the organisms comprising a community, is increasingly recognized as an important driver of ecosystem function. However, biodiversity-ecosystem function experiments have rarely included PD as an a priori treatment. Thus, PD's effects in existing experiments are often confounded by covarying differences in species richness and functional trait diversity (FD). Here we report an experimental demonstration of strong PD effects on grassland primary productivity that are independent of FD, which was separately manipulated, and species richness, which was planted uniformly high to mimic diverse natural grasslands. Partitioning diversity effects demonstrated that higher PD increased complementarity (niche partitioning and/or facilitation) but lowered selection effects (probability of sampling highly productive species). Specifically, for every 5% increase in PD, complementarity increased by 26% on average (±8% SE), while selection effects decreased more modestly (8 ± 16%). PD also shaped productivity through clade-level effects on functional traits, that is, trait values associated with particular plant families. This clade effect was most pronounced in the Asteraceae (sunflower family), which, in tallgrass prairies, generally comprises tall, high-biomass species with low phylogenetic distinctiveness. FD also reduced selection effects but did not alter complementarity. Our results show that PD, independent of richness and FD, mediates ecosystem function through contrasting effects on complementarity and selection. This adds to growing evidence that consideration of phylogenetic dimensions of biodiversity can advance ecological understanding and inform conservation and restoration.
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Affiliation(s)
- Daniel J Larkin
- Department of Fisheries, Wildlife and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA
| | | | - Evelyn W Williams
- Negaunee Institute for Plant Conservation Science and Action, Chicago Botanic Garden, Glencoe, Illinois, USA
| | - Nisa Karimi
- Herbarium and Center for Tree Science, The Morton Arboretum, Lisle, Illinois, USA
| | - Rebecca S Barak
- Negaunee Institute for Plant Conservation Science and Action, Chicago Botanic Garden, Glencoe, Illinois, USA
| | - Emma Leavens
- Herbarium and Center for Tree Science, The Morton Arboretum, Lisle, Illinois, USA
| | - Andrew L Hipp
- Herbarium and Center for Tree Science, The Morton Arboretum, Lisle, Illinois, USA
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4
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Chen JT, Wang MQ, Li Y, Chesters D, Luo A, Zhang W, Guo PF, Guo SK, Zhou QS, Ma KP, von Oheimb G, Kunz M, Zhang NL, Liu XJ, Bruelheide H, Schuldt A, Zhu CD. Functional and phylogenetic relationships link predators to plant diversity via trophic and non-trophic pathways. Proc Biol Sci 2023; 290:20221658. [PMID: 36629113 PMCID: PMC9832575 DOI: 10.1098/rspb.2022.1658] [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: 08/24/2022] [Accepted: 12/12/2022] [Indexed: 01/12/2023] Open
Abstract
Human-induced biodiversity loss negatively affects ecosystem function, but the interactive effects of biodiversity change across trophic levels remain insufficiently understood. We sampled arboreal spiders and lepidopteran larvae across seasons in 2 years in a subtropical tree diversity experiment, and then disentangled the links between tree diversity and arthropod predator diversity by deconstructing the pathways among multiple components of diversity (taxonomic, phylogenetic and functional) with structural equation models. We found that herbivores were major mediators of plant species richness effects on abundance, species richness, functional and phylogenetic diversity of predators, while phylogenetic, functional and structural diversity of trees were also important mediators of this process. However, the strength and direction differed between functional, structural and phylogenetic diversity effects, indicating different underlying mechanisms for predator community assembly. Abundance and multiple diversity components of predators were consistently affected by tree functional diversity, indicating that the variation in structure and environment caused by plant functional composition might play key roles in predator community assembly. Our study highlights the importance of an integrated approach based on multiple biodiversity components in understanding the consequences of biodiversity loss in multitrophic communities.
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Affiliation(s)
- Jing-Ting Chen
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
- College of Biological Sciences, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Ming-Qiang Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chengdu, People's Republic of China
| | - Yi Li
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Douglas Chesters
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Arong Luo
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Wei Zhang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
- State Key Laboratory of Biocatalysis and Enzyme Engineering of China, School of Life Sciences, Hubei University, Wuhan, People's Republic of China
| | - Peng-Fei Guo
- School of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, People's Republic of China
| | - Shi-Kun Guo
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
- College of Biological Sciences, University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Qing-Song Zhou
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Ke-Ping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Goddert von Oheimb
- Technische Universität Dresden, Institute of General Ecology and Environmental Protection, Pienner Straße 7, 01737 Tharandt, Germany
| | - Matthias Kunz
- Technische Universität Dresden, Institute of General Ecology and Environmental Protection, Pienner Straße 7, 01737 Tharandt, Germany
| | - Nai-Li Zhang
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, People's Republic of China
| | - Xiao-Juan Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Helge Bruelheide
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Andreas Schuldt
- Forest Nature Conservation, Georg-August-University, Goettingen, Germany
| | - Chao-Dong Zhu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
- College of Biological Sciences, University of Chinese Academy of Sciences, Beijing, People's Republic of China
- State Key Laboratory of Integrated Pest Management, Institute of Zoology, Chinese Academy of Sciences, Beijing, People's Republic of China
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5
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Drought-exposure history increases complementarity between plant species in response to a subsequent drought. Nat Commun 2022; 13:3217. [PMID: 35680926 PMCID: PMC9184649 DOI: 10.1038/s41467-022-30954-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 05/18/2022] [Indexed: 01/10/2023] Open
Abstract
Growing threats from extreme climatic events and biodiversity loss have raised concerns about their interactive consequences for ecosystem functioning. Evidence suggests biodiversity can buffer ecosystem functioning during such climatic events. However, whether exposure to extreme climatic events will strengthen the biodiversity-dependent buffering effects for future generations remains elusive. We assess such transgenerational effects by exposing experimental grassland communities to eight recurrent summer droughts versus ambient conditions in the field. Seed offspring of 12 species are then subjected to a subsequent drought event in the glasshouse, grown individually, in monocultures or in 2-species mixtures. Comparing productivity between mixtures and monocultures, drought-selected plants show greater between-species complementarity than ambient-selected plants when recovering from the subsequent drought, causing stronger biodiversity effects on productivity and better recovery of drought-selected mixtures after the drought. These findings suggest exposure to recurrent climatic events can improve ecosystem responses to future events through transgenerational reinforcement of species complementarity. Using experimental communities of grassland species, this study shows that drought-exposure history can accelerate recovery from subsequent drought through increased niche complementarity between species. This transgenerational effect may enhance the sustainability of biodiversity and ecosystem functioning in a future with more frequent droughts.
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Eisenhauer N, Bonfante P, Buscot F, Cesarz S, Guerra C, Heintz-Buschart A, Hines J, Patoine G, Rillig M, Schmid B, Verheyen K, Wirth C, Ferlian O. Biotic Interactions as Mediators of Context-Dependent Biodiversity-Ecosystem Functioning Relationships. RESEARCH IDEAS AND OUTCOMES 2022. [DOI: 10.3897/rio.8.e85873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Biodiversity drives the maintenance and stability of ecosystem functioning as well as many of nature’s benefits to people, yet people cause substantial biodiversity change. Despite broad consensus about a positive relationship between biodiversity and ecosystem functioning (BEF), the underlying mechanisms and their context-dependencies are not well understood. This proposal, submitted to the European Research Council (ERC), aims at filling this knowledge gap by providing a novel conceptual framework for integrating biotic interactions across guilds of organisms, i.e. plants and mycorrhizal fungi, to explain the ecosystem consequences of biodiversity change. The overarching hypothesis is that EF increases when more tree species associate with functionally dissimilar mycorrhizal fungi. Taking a whole-ecosystem perspective, we propose to explore the role of tree-mycorrhiza interactions in driving BEF across environmental contexts and how this relates to nutrient dynamics. Given the significant role that mycorrhizae play in soil nutrient and water uptake, BEF relationships will be investigated under normal and drought conditions. Resulting ecosystem consequences will be explored by studying main energy channels and ecosystem multifunctionality using food web energy fluxes and by assessing carbon storage. Synthesising drivers of biotic interactions will allow us to understand context-dependent BEF relationships. This interdisciplinary and integrative project spans the whole gradient from local-scale process assessments to global relationships by building on unique experimental infrastructures like the MyDiv Experiment, iDiv Ecotron and the global network TreeDivNet, to link ecological mechanisms to reforestation initiatives. This innovative combination of basic scientific research with real-world interventions links trait-based community ecology, global change research and ecosystem ecology, pioneering a new generation of BEF research and represents a significant step towards implementing BEF theory for human needs.
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7
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Ndiritu JM, Kinama JM, Muthama JN. Assessment of ecosystem services knowledge, attitudes, and practices of coffee farmers using legume cover crops. Ecosphere 2022. [DOI: 10.1002/ecs2.4046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- J. M. Ndiritu
- Wangari Maathai Institute of Peace and Environmental Studies University of Nairobi Nairobi Kenya
| | - J. M. Kinama
- Department of Plant Science and Crop Protection University of Nairobi Nairobi Kenya
| | - J. N. Muthama
- Department of Plant Science and Crop Protection University of Nairobi Nairobi Kenya
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8
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Forero LE, Kulmatiski A, Grenzer J, Norton J. Plant–soil feedbacks help explain plant community productivity. Ecology 2022; 103:e3736. [DOI: 10.1002/ecy.3736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/28/2022] [Accepted: 03/07/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Leslie E. Forero
- Department of Wildland Resources and the Ecology Center Utah State University 5230 Old Main Hill Logan UT USA
| | - Andrew Kulmatiski
- Department of Wildland Resources and the Ecology Center Utah State University 5230 Old Main Hill Logan UT USA
| | - Josephine Grenzer
- Department of Wildland Resources and the Ecology Center Utah State University 5230 Old Main Hill Logan UT USA
| | - Jeanette Norton
- Department of Plants, Soils, and Climate Utah State University 4280 Old Main Hill Logan UT USA
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9
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Species richness and identity both determine the biomass of global reef fish communities. Nat Commun 2021; 12:6875. [PMID: 34824244 PMCID: PMC8616921 DOI: 10.1038/s41467-021-27212-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 11/08/2021] [Indexed: 11/08/2022] Open
Abstract
Changing biodiversity alters ecosystem functioning in nature, but the degree to which this relationship depends on the taxonomic identities rather than the number of species remains untested at broad scales. Here, we partition the effects of declining species richness and changing community composition on fish community biomass across >3000 coral and rocky reef sites globally. We find that high biodiversity is 5.7x more important in maximizing biomass than the remaining influence of other ecological and environmental factors. Differences in fish community biomass across space are equally driven by both reductions in the total number of species and the disproportionate loss of larger-than-average species, which is exacerbated at sites impacted by humans. Our results confirm that sustaining biomass and associated ecosystem functions requires protecting diversity, most importantly of multiple large-bodied species in areas subject to strong human influences. Species identity and richness both contribute biodiversity-ecosystem functioning relationships. Here the authors apply a decomposition approach inspired by the Price equation to a global dataset of reef fish community biomass, finding that increased richness and community compositions favouring large-bodied species enhance biomass.
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10
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Ulrich W, Zaplata MK, Gotelli NJ. Reconsidering the Price equation: a new partitioning based on species abundances and trait expression. OIKOS 2021. [DOI: 10.1111/oik.08871] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Werner Ulrich
- Dept of Ecology and Biogeography, Nicolaus Copernicus Univ. in Torun Toruń Poland
| | - Markus Klemens Zaplata
- Faculty Environment and Natural Sciences, Brandenburg Univ. of Technology Cottbus‐Senftenberg Cottbus Germany
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11
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Zhang W, Gao S, Li Z, Xu H, Yang H, Yang X, Fan H, Su Y, Fornara D, Li L. Shifts from complementarity to selection effects maintain high productivity in maize/legume intercropping systems. J Appl Ecol 2021. [DOI: 10.1111/1365-2664.13989] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Wei‐Ping Zhang
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | - Sai‐Nan Gao
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | - Zhao‐Xin Li
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | - Hua‐Sen Xu
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | - Hao Yang
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | - Xin Yang
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | - Hong‐Xia Fan
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | - Ye Su
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
| | | | - Long Li
- Beijing Key Laboratory of Biodiversity and Organic Farming Key Laboratory of Plant and Soil Interactions Ministry of Education College of Resource and Environmental Science China Agricultural University Beijing China
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12
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Forero LE, Kulmatiski A, Grenzer J, Norton JM. Plant-soil feedbacks help explain biodiversity-productivity relationships. Commun Biol 2021; 4:789. [PMID: 34172839 PMCID: PMC8233354 DOI: 10.1038/s42003-021-02329-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 06/09/2021] [Indexed: 01/18/2023] Open
Abstract
Species-rich plant communities can produce twice as much aboveground biomass as monocultures, but the mechanisms remain unresolved. We tested whether plant-soil feedbacks (PSFs) can help explain these biodiversity-productivity relationships. Using a 16-species, factorial field experiment we found that plants created soils that changed subsequent plant growth by 27% and that this effect increased over time. When incorporated into simulation models, these PSFs improved predictions of plant community growth and explained 14% of overyielding. Here we show quantitative, field-based evidence that diversity maintains productivity by suppressing plant disease. Though this effect alone was modest, it helps constrain the role of factors, such as niche partitioning, that have been difficult to quantify. This improved understanding of biodiversity-productivity relationships has implications for agriculture, biofuel production and conservation.
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Affiliation(s)
- Leslie E Forero
- Department of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, USA
| | - Andrew Kulmatiski
- Department of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, USA.
| | - Josephine Grenzer
- Department of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, USA
| | - Jeanette M Norton
- Department of Plants, Soils and Climate, Utah State University, Logan, UT, USA
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Crawford MS, Barry KE, Clark AT, Farrior CE, Hines J, Ladouceur E, Lichstein JW, Maréchaux I, May F, Mori AS, Reineking B, Turnbull LA, Wirth C, Rüger N. The function-dominance correlation drives the direction and strength of biodiversity-ecosystem functioning relationships. Ecol Lett 2021; 24:1762-1775. [PMID: 34157796 DOI: 10.1111/ele.13776] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 04/21/2021] [Indexed: 11/29/2022]
Abstract
Community composition is a primary determinant of how biodiversity change influences ecosystem functioning and, therefore, the relationship between biodiversity and ecosystem functioning (BEF). We examine the consequences of community composition across six structurally realistic plant community models. We find that a positive correlation between species' functioning in monoculture versus their dominance in mixture with regard to a specific function (the "function-dominance correlation") generates a positive relationship between realised diversity and ecosystem functioning across species richness treatments. However, because realised diversity declines when few species dominate, a positive function-dominance correlation generates a negative relationship between realised diversity and ecosystem functioning within species richness treatments. Removing seed inflow strengthens the link between the function-dominance correlation and BEF relationships across species richness treatments but weakens it within them. These results suggest that changes in species' identities in a local species pool may more strongly affect ecosystem functioning than changes in species richness.
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Affiliation(s)
- Michael S Crawford
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Economics, Institute of Empirical Economic Research, University of Leipzig, Leipzig, Germany.,Department of Land-Use Management, Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
| | - Kathryn E Barry
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Institute of Biology, University of Leipzig, Leipzig, Germany.,Ecology and Biodiversity Group, Department of Biology, Utrecht University, Utrecht, Netherlands
| | - Adam T Clark
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.,Institute of Biology, University of Graz, Graz, Austria
| | - Caroline E Farrior
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas, USA
| | - Jes Hines
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,University of Leipzig, Leipzig, Germany
| | - Emma Ladouceur
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.,Biodiversity Synthesis, Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle, Germany
| | | | - Isabelle Maréchaux
- AMAP, University of Montpellier, CIRAD, CNRS, INRAE, Montpellier, IRD, France.,Laboratoire Évolution et Diversité Biologique, UMR 5174 (CNRS/IRD/UPS), Toulouse Cedex, France
| | - Felix May
- Institute of Biology, Freie Universität Berlin, Gartenhaus, Berlin, Germany
| | - Akira S Mori
- Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Japan
| | - Björn Reineking
- University of Grenoble Alpes, INRAE, LESSEM, Grenoble, France
| | | | - Christian Wirth
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Institute of Biology, University of Leipzig, Leipzig, Germany.,University of Grenoble Alpes, INRAE, LESSEM, Grenoble, France.,Max-Planck-Institute for Biogeochemistry, Jena, Germany
| | - Nadja Rüger
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Economics, Institute of Empirical Economic Research, University of Leipzig, Leipzig, Germany.,Smithsonian Tropical Research Institute, Balboa, Ancón, Panama
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Pillai P, Gouhier TC. On the correct mathematical derivation and ecological application of unbiased estimators in biodiversity research. Methods Ecol Evol 2020. [DOI: 10.1111/2041-210x.13486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Pradeep Pillai
- Marine Science Center Northeastern University Nahant MA USA
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