Linking changes in species composition and biomass in a globally distributed grassland experiment

Emma Ladouceur; Shane A. Blowes; Jonathan M. Chase; Adam T. Clark; Magda Garbowski; Juan Alberti; Carlos Alberto Arnillas; Jonathan D. Bakker; Isabel C. Barrio; Siddharth Bharath; Elizabeth T. Borer; Lars A. Brudvig; Marc W. Cadotte; Qingqing Chen; Scott L. Collins; Christopher R. Dickman; Ian Donohue; Guozhen Du; Anne Ebeling; Nico Eisenhauer; Philip A. Fay; Nicole Hagenah; Yann Hautier; Anke Jentsch; Ingibjörg S. Jónsdóttir; Kimberly Komatsu; Andrew MacDougall; Jason P. Martina; Joslin L. Moore; John W. Morgan; Pablo L. Peri; Sally A Power; Zhengwei Ren; Anita C. Risch; Christiane Roscher; Max A Schuchardt; Eric W. Seabloom; Carly J. Stevens; G. F. Veen; Risto Virtanen; Glenda M. Wardle; Peter A. Wilfahrt; W. Stanley Harpole

doi:10.1111/ele.14126

Linking changes in species composition and biomass in a globally distributed grassland experiment

Emma Ladouceur, Shane A. Blowes, Jonathan M. Chase, Adam T. Clark, Magda Garbowski, Juan Alberti, Carlos Alberto Arnillas, Jonathan D. Bakker, Isabel C. Barrio, Siddharth Bharath, Elizabeth T. Borer, Lars A. Brudvig, Marc W. Cadotte, Qingqing Chen, Scott L. Collins, Christopher R. Dickman, Ian Donohue, Guozhen Du, Anne Ebeling, Nico EisenhauerPhilip A. Fay, Nicole Hagenah, Yann Hautier, Anke Jentsch, Ingibjörg S. Jónsdóttir, Kimberly Komatsu, Andrew MacDougall, Jason P. Martina, Joslin L. Moore, John W. Morgan, Pablo L. Peri, Sally A Power, Zhengwei Ren, Anita C. Risch, Christiane Roscher, Max A Schuchardt, Eric W. Seabloom, Carly J. Stevens, G. F. Veen, Risto Virtanen, Glenda M. Wardle, Peter A. Wilfahrt, W. Stanley Harpole

Ecology, Evolution and Behavior

Research output: Contribution to journal › Letter › peer-review

26 Scopus citations

Abstract

Global change drivers, such as anthropogenic nutrient inputs, are increasing globally. Nutrient deposition simultaneously alters plant biodiversity, species composition and ecosystem processes like aboveground biomass production. These changes are underpinned by species extinction, colonisation and shifting relative abundance. Here, we use the Price equation to quantify and link the contributions of species that are lost, gained or that persist to change in aboveground biomass in 59 experimental grassland sites. Under ambient (control) conditions, compositional and biomass turnover was high, and losses (i.e. local extinctions) were balanced by gains (i.e. colonisation). Under fertilisation, the decline in species richness resulted from increased species loss and decreases in species gained. Biomass increase under fertilisation resulted mostly from species that persist and to a lesser extent from species gained. Drivers of ecological change can interact relatively independently with diversity, composition and ecosystem processes and functions such as aboveground biomass due to the individual contributions of species lost, gained or persisting.

Original language	English (US)
Pages (from-to)	2699-2712
Number of pages	14
Journal	Ecology letters
Volume	25
Issue number	12
DOIs	https://doi.org/10.1111/ele.14126
State	Published - Dec 2022

Bibliographical note

Funding Information:
This work was generated using data from the Nutrient Network ( http://www.nutnet.org ) experiment, funded and administered at the site‐scale by individual researchers (Table S1 ). Coordination and data management have been supported by funding to E. Borer and E. Seabloom from the National Science Foundation Research Coordination Network (NSF‐DEB‐1042132) and Long‐Term Ecological Research (NSF‐DEB‐1234162 & DEB‐1831944 to Cedar Creek LTER) programs and the University of Minnesota's Institute on the Environment (DG‐0001‐13). We gratefully acknowledge the support of the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, funded by the German Research Foundation (DFG–FZT 118, 202548816). We thank Christian Krause and the UFZ administrative and support staff of the High‐Performance Computing Cluster EVE, a joint effort of the Helmholtz Centre for Environmental Research (UFZ) and iDiv, for access to, and support associated with, EVE. All site‐level funding acknowledgements from site coordinators are listed in the expanded version of Table S1 . We thank Colin T. Kremer for helpful comments. Last, we thank reviewers for helpful comments leading to a much‐improved manuscript. Open Access funding enabled and organized by Projekt DEAL.

Funding Information:
This work was generated using data from the Nutrient Network (http://www.nutnet.org) experiment, funded and administered at the site-scale by individual researchers (Table S1). Coordination and data management have been supported by funding to E. Borer and E. Seabloom from the National Science Foundation Research Coordination Network (NSF-DEB-1042132) and Long-Term Ecological Research (NSF-DEB-1234162 & DEB-1831944 to Cedar Creek LTER) programs and the University of Minnesota's Institute on the Environment (DG-0001-13). We gratefully acknowledge the support of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG–FZT 118, 202548816). We thank Christian Krause and the UFZ administrative and support staff of the High-Performance Computing Cluster EVE, a joint effort of the Helmholtz Centre for Environmental Research (UFZ) and iDiv, for access to, and support associated with, EVE. All site-level funding acknowledgements from site coordinators are listed in the expanded version of Table S1. We thank Colin T. Kremer for helpful comments. Last, we thank reviewers for helpful comments leading to a much-improved manuscript. Open Access funding enabled and organized by Projekt DEAL.

Publisher Copyright:
© 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Keywords

CAFE approach
Price equation
The Nutrient Network
aboveground biomass
biodiversity change
ecosystem function
global change
grasslands
nutrient deposition
turnover

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1111/ele.14126

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Ladouceur, E., Blowes, S. A., Chase, J. M., Clark, A. T., Garbowski, M., Alberti, J., Arnillas, C. A., Bakker, J. D., Barrio, I. C., Bharath, S., Borer, E. T., Brudvig, L. A., Cadotte, M. W., Chen, Q., Collins, S. L., Dickman, C. R., Donohue, I., Du, G., Ebeling, A., ... Harpole, W. S. (2022). Linking changes in species composition and biomass in a globally distributed grassland experiment. Ecology letters, 25(12), 2699-2712. https://doi.org/10.1111/ele.14126

Ladouceur, E, Blowes, SA, Chase, JM, Clark, AT, Garbowski, M, Alberti, J, Arnillas, CA, Bakker, JD, Barrio, IC, Bharath, S, Borer, ET, Brudvig, LA, Cadotte, MW, Chen, Q, Collins, SL, Dickman, CR, Donohue, I, Du, G, Ebeling, A, Eisenhauer, N, Fay, PA, Hagenah, N, Hautier, Y, Jentsch, A, Jónsdóttir, IS, Komatsu, K, MacDougall, A, Martina, JP, Moore, JL, Morgan, JW, Peri, PL, Power, SA, Ren, Z, Risch, AC, Roscher, C, Schuchardt, MA, Seabloom, EW, Stevens, CJ, Veen, GF, Virtanen, R, Wardle, GM, Wilfahrt, PA & Harpole, WS 2022, 'Linking changes in species composition and biomass in a globally distributed grassland experiment', Ecology letters, vol. 25, no. 12, pp. 2699-2712. https://doi.org/10.1111/ele.14126

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title = "Linking changes in species composition and biomass in a globally distributed grassland experiment",

abstract = "Global change drivers, such as anthropogenic nutrient inputs, are increasing globally. Nutrient deposition simultaneously alters plant biodiversity, species composition and ecosystem processes like aboveground biomass production. These changes are underpinned by species extinction, colonisation and shifting relative abundance. Here, we use the Price equation to quantify and link the contributions of species that are lost, gained or that persist to change in aboveground biomass in 59 experimental grassland sites. Under ambient (control) conditions, compositional and biomass turnover was high, and losses (i.e. local extinctions) were balanced by gains (i.e. colonisation). Under fertilisation, the decline in species richness resulted from increased species loss and decreases in species gained. Biomass increase under fertilisation resulted mostly from species that persist and to a lesser extent from species gained. Drivers of ecological change can interact relatively independently with diversity, composition and ecosystem processes and functions such as aboveground biomass due to the individual contributions of species lost, gained or persisting.",

keywords = "CAFE approach, Price equation, The Nutrient Network, aboveground biomass, biodiversity change, ecosystem function, global change, grasslands, nutrient deposition, turnover",

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note = "Funding Information: This work was generated using data from the Nutrient Network ( http://www.nutnet.org ) experiment, funded and administered at the site‐scale by individual researchers (Table S1 ). Coordination and data management have been supported by funding to E. Borer and E. Seabloom from the National Science Foundation Research Coordination Network (NSF‐DEB‐1042132) and Long‐Term Ecological Research (NSF‐DEB‐1234162 & DEB‐1831944 to Cedar Creek LTER) programs and the University of Minnesota's Institute on the Environment (DG‐0001‐13). We gratefully acknowledge the support of the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, funded by the German Research Foundation (DFG–FZT 118, 202548816). We thank Christian Krause and the UFZ administrative and support staff of the High‐Performance Computing Cluster EVE, a joint effort of the Helmholtz Centre for Environmental Research (UFZ) and iDiv, for access to, and support associated with, EVE. All site‐level funding acknowledgements from site coordinators are listed in the expanded version of Table S1 . We thank Colin T. Kremer for helpful comments. Last, we thank reviewers for helpful comments leading to a much‐improved manuscript. Open Access funding enabled and organized by Projekt DEAL. Funding Information: This work was generated using data from the Nutrient Network (http://www.nutnet.org) experiment, funded and administered at the site-scale by individual researchers (Table S1). Coordination and data management have been supported by funding to E. Borer and E. Seabloom from the National Science Foundation Research Coordination Network (NSF-DEB-1042132) and Long-Term Ecological Research (NSF-DEB-1234162 & DEB-1831944 to Cedar Creek LTER) programs and the University of Minnesota's Institute on the Environment (DG-0001-13). We gratefully acknowledge the support of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG–FZT 118, 202548816). We thank Christian Krause and the UFZ administrative and support staff of the High-Performance Computing Cluster EVE, a joint effort of the Helmholtz Centre for Environmental Research (UFZ) and iDiv, for access to, and support associated with, EVE. All site-level funding acknowledgements from site coordinators are listed in the expanded version of Table S1. We thank Colin T. Kremer for helpful comments. Last, we thank reviewers for helpful comments leading to a much-improved manuscript. Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: {\textcopyright} 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.",

year = "2022",

month = dec,

doi = "10.1111/ele.14126",

language = "English (US)",

volume = "25",

pages = "2699--2712",

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T1 - Linking changes in species composition and biomass in a globally distributed grassland experiment

AU - Ladouceur, Emma

AU - Blowes, Shane A.

AU - Chase, Jonathan M.

AU - Clark, Adam T.

AU - Garbowski, Magda

AU - Alberti, Juan

AU - Arnillas, Carlos Alberto

AU - Bakker, Jonathan D.

AU - Barrio, Isabel C.

AU - Bharath, Siddharth

AU - Borer, Elizabeth T.

AU - Brudvig, Lars A.

AU - Cadotte, Marc W.

AU - Chen, Qingqing

AU - Collins, Scott L.

AU - Dickman, Christopher R.

AU - Donohue, Ian

AU - Du, Guozhen

AU - Ebeling, Anne

AU - Eisenhauer, Nico

AU - Fay, Philip A.

AU - Hagenah, Nicole

AU - Hautier, Yann

AU - Jentsch, Anke

AU - Jónsdóttir, Ingibjörg S.

AU - Komatsu, Kimberly

AU - MacDougall, Andrew

AU - Martina, Jason P.

AU - Moore, Joslin L.

AU - Morgan, John W.

AU - Peri, Pablo L.

AU - Power, Sally A

AU - Ren, Zhengwei

AU - Risch, Anita C.

AU - Roscher, Christiane

AU - Schuchardt, Max A

AU - Seabloom, Eric W.

AU - Stevens, Carly J.

AU - Veen, G. F.

AU - Virtanen, Risto

AU - Wardle, Glenda M.

AU - Wilfahrt, Peter A.

AU - Harpole, W. Stanley

N1 - Funding Information: This work was generated using data from the Nutrient Network ( http://www.nutnet.org ) experiment, funded and administered at the site‐scale by individual researchers (Table S1 ). Coordination and data management have been supported by funding to E. Borer and E. Seabloom from the National Science Foundation Research Coordination Network (NSF‐DEB‐1042132) and Long‐Term Ecological Research (NSF‐DEB‐1234162 & DEB‐1831944 to Cedar Creek LTER) programs and the University of Minnesota's Institute on the Environment (DG‐0001‐13). We gratefully acknowledge the support of the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, funded by the German Research Foundation (DFG–FZT 118, 202548816). We thank Christian Krause and the UFZ administrative and support staff of the High‐Performance Computing Cluster EVE, a joint effort of the Helmholtz Centre for Environmental Research (UFZ) and iDiv, for access to, and support associated with, EVE. All site‐level funding acknowledgements from site coordinators are listed in the expanded version of Table S1 . We thank Colin T. Kremer for helpful comments. Last, we thank reviewers for helpful comments leading to a much‐improved manuscript. Open Access funding enabled and organized by Projekt DEAL. Funding Information: This work was generated using data from the Nutrient Network (http://www.nutnet.org) experiment, funded and administered at the site-scale by individual researchers (Table S1). Coordination and data management have been supported by funding to E. Borer and E. Seabloom from the National Science Foundation Research Coordination Network (NSF-DEB-1042132) and Long-Term Ecological Research (NSF-DEB-1234162 & DEB-1831944 to Cedar Creek LTER) programs and the University of Minnesota's Institute on the Environment (DG-0001-13). We gratefully acknowledge the support of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG–FZT 118, 202548816). We thank Christian Krause and the UFZ administrative and support staff of the High-Performance Computing Cluster EVE, a joint effort of the Helmholtz Centre for Environmental Research (UFZ) and iDiv, for access to, and support associated with, EVE. All site-level funding acknowledgements from site coordinators are listed in the expanded version of Table S1. We thank Colin T. Kremer for helpful comments. Last, we thank reviewers for helpful comments leading to a much-improved manuscript. Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

PY - 2022/12

Y1 - 2022/12

N2 - Global change drivers, such as anthropogenic nutrient inputs, are increasing globally. Nutrient deposition simultaneously alters plant biodiversity, species composition and ecosystem processes like aboveground biomass production. These changes are underpinned by species extinction, colonisation and shifting relative abundance. Here, we use the Price equation to quantify and link the contributions of species that are lost, gained or that persist to change in aboveground biomass in 59 experimental grassland sites. Under ambient (control) conditions, compositional and biomass turnover was high, and losses (i.e. local extinctions) were balanced by gains (i.e. colonisation). Under fertilisation, the decline in species richness resulted from increased species loss and decreases in species gained. Biomass increase under fertilisation resulted mostly from species that persist and to a lesser extent from species gained. Drivers of ecological change can interact relatively independently with diversity, composition and ecosystem processes and functions such as aboveground biomass due to the individual contributions of species lost, gained or persisting.

AB - Global change drivers, such as anthropogenic nutrient inputs, are increasing globally. Nutrient deposition simultaneously alters plant biodiversity, species composition and ecosystem processes like aboveground biomass production. These changes are underpinned by species extinction, colonisation and shifting relative abundance. Here, we use the Price equation to quantify and link the contributions of species that are lost, gained or that persist to change in aboveground biomass in 59 experimental grassland sites. Under ambient (control) conditions, compositional and biomass turnover was high, and losses (i.e. local extinctions) were balanced by gains (i.e. colonisation). Under fertilisation, the decline in species richness resulted from increased species loss and decreases in species gained. Biomass increase under fertilisation resulted mostly from species that persist and to a lesser extent from species gained. Drivers of ecological change can interact relatively independently with diversity, composition and ecosystem processes and functions such as aboveground biomass due to the individual contributions of species lost, gained or persisting.

KW - CAFE approach

KW - Price equation

KW - The Nutrient Network

KW - aboveground biomass

KW - biodiversity change

KW - ecosystem function

KW - global change

KW - grasslands

KW - nutrient deposition

KW - turnover

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M3 - Letter

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SN - 1461-023X

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JO - Ecology letters

JF - Ecology letters

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ER -

Linking changes in species composition and biomass in a globally distributed grassland experiment

Abstract

Bibliographical note

Keywords

UN SDGs

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