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A cross-scale assessment of productivity–diversity relationships

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

A cross-scale assessment of productivity–diversity relationships. / Craven, Dylan; van der Sande, Masha T.; Meyer, Carsten et al.

In: Global Ecology and Biogeography, Vol. 29, No. 11, 01.11.2020, p. 1940-1955.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Craven, D, van der Sande, MT, Meyer, C, Gerstner, K, Bennett, JM, Giling, DP, Hines, J, Phillips, HRP, May, F, Bannar-Martin, KH, Chase, JM & Keil, P 2020, 'A cross-scale assessment of productivity–diversity relationships', Global Ecology and Biogeography, vol. 29, no. 11, pp. 1940-1955. https://doi.org/10.1111/geb.13165

APA

Craven, D., van der Sande, M. T., Meyer, C., Gerstner, K., Bennett, J. M., Giling, D. P., Hines, J., Phillips, H. R. P., May, F., Bannar-Martin, K. H., Chase, J. M., & Keil, P. (2020). A cross-scale assessment of productivity–diversity relationships. Global Ecology and Biogeography, 29(11), 1940-1955. https://doi.org/10.1111/geb.13165

Vancouver

Craven D, van der Sande MT, Meyer C, Gerstner K, Bennett JM, Giling DP et al. A cross-scale assessment of productivity–diversity relationships. Global Ecology and Biogeography. 2020 Nov 1;29(11):1940-1955. Epub 2020 Aug 1. doi: 10.1111/geb.13165

Bibtex

@article{47d97073a19c47d7b708c9470ff36f0c,
title = "A cross-scale assessment of productivity–diversity relationships",
abstract = "Aim: Biodiversity and ecosystem productivity vary across the globe, and considerable effort has been made to describe their relationships. Biodiversity and ecosystem functioning research has traditionally focused on how experimentally controlled species richness affects net primary productivity (S → NPP) at small spatial grains. In contrast, the influence of productivity on richness (NPP → S) has been explored at many grains in naturally assembled communities. Mismatches in spatial scale between approaches have fuelled debate about the strength and direction of biodiversity–productivity relationships. Here, we examine the direction and strength of the influence of productivity on diversity (NPP → S) and the influence of diversity on productivity (S → NPP) and how these vary across spatial grains. Location: Contiguous USA. Time period: 1999–2015. Major taxa studied: Woody species (angiosperms and gymnosperms). Methods: Using data from North American forests at grains from local (672 m2) to coarse spatial units (median area = 35,677 km2), we assess relationships between diversity and productivity using structural equation and random forest models, while accounting for variation in climate, environmental heterogeneity, management and forest age. Results: We show that relationships between S and NPP strengthen with spatial grain. Within each grain, S → NPP and NPP → S have similar magnitudes, meaning that processes underlying S → NPP and NPP → S either operate simultaneously or that one of them is real and the other is an artefact. At all spatial grains, S was one of the weakest predictors of forest productivity, which was largely driven by biomass, temperature and forest management and age. Main conclusions: We conclude that spatial grain mediates relationships between biodiversity and productivity in real-world ecosystems and that results supporting predictions from each approach (NPP → S and S → NPP) serve as an impetus for future studies testing underlying mechanisms. Productivity–diversity relationships emerge at multiple spatial grains, which should widen the focus of national and global policy and research to larger spatial grains.",
keywords = "biodiversity–ecosystem function, biomass, climate, machine learning, more individuals hypothesis, spatial grain, species–energy relationship, Ecosystems Research",
author = "Dylan Craven and {van der Sande}, {Masha T.} and Carsten Meyer and Katharina Gerstner and Bennett, {Joanne M.} and Giling, {Darren P.} and Jes Hines and Phillips, {Helen R.P.} and Felix May and Bannar-Martin, {Katherine H.} and Chase, {Jonathan M.} and Petr Keil",
note = "All authors recognize support from the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig (DFG‐FZT 118). M.T.v.d.S. is supported by the Rubicon research programme with project number 019.171LW.023, which is financed by the Netherlands Organisation for Scientific Research (NWO). C.M. acknowledges funding from the Volkswagen Foundation through a Freigeist Fellowship. We thank John Kartesz and Misako Nishino for generously providing access to BONAP data. We thank David Currie and Antonin Machac for initial discussions and Christian Wirth, Katie Barry, Nico Eisenhauer, Stan Harpole, Miguel Mahecha and the CAFE discussion group for their suggestions to improve analyses. Open access funding enabled and organized by Projekt DEAL. ",
year = "2020",
month = nov,
day = "1",
doi = "10.1111/geb.13165",
language = "English",
volume = "29",
pages = "1940--1955",
journal = "Global Ecology and Biogeography",
issn = "1466-822X",
publisher = "Wiley-Blackwell Publishing Ltd.",
number = "11",

}

RIS

TY - JOUR

T1 - A cross-scale assessment of productivity–diversity relationships

AU - Craven, Dylan

AU - van der Sande, Masha T.

AU - Meyer, Carsten

AU - Gerstner, Katharina

AU - Bennett, Joanne M.

AU - Giling, Darren P.

AU - Hines, Jes

AU - Phillips, Helen R.P.

AU - May, Felix

AU - Bannar-Martin, Katherine H.

AU - Chase, Jonathan M.

AU - Keil, Petr

N1 - All authors recognize support from the German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig (DFG‐FZT 118). M.T.v.d.S. is supported by the Rubicon research programme with project number 019.171LW.023, which is financed by the Netherlands Organisation for Scientific Research (NWO). C.M. acknowledges funding from the Volkswagen Foundation through a Freigeist Fellowship. We thank John Kartesz and Misako Nishino for generously providing access to BONAP data. We thank David Currie and Antonin Machac for initial discussions and Christian Wirth, Katie Barry, Nico Eisenhauer, Stan Harpole, Miguel Mahecha and the CAFE discussion group for their suggestions to improve analyses. Open access funding enabled and organized by Projekt DEAL.

PY - 2020/11/1

Y1 - 2020/11/1

N2 - Aim: Biodiversity and ecosystem productivity vary across the globe, and considerable effort has been made to describe their relationships. Biodiversity and ecosystem functioning research has traditionally focused on how experimentally controlled species richness affects net primary productivity (S → NPP) at small spatial grains. In contrast, the influence of productivity on richness (NPP → S) has been explored at many grains in naturally assembled communities. Mismatches in spatial scale between approaches have fuelled debate about the strength and direction of biodiversity–productivity relationships. Here, we examine the direction and strength of the influence of productivity on diversity (NPP → S) and the influence of diversity on productivity (S → NPP) and how these vary across spatial grains. Location: Contiguous USA. Time period: 1999–2015. Major taxa studied: Woody species (angiosperms and gymnosperms). Methods: Using data from North American forests at grains from local (672 m2) to coarse spatial units (median area = 35,677 km2), we assess relationships between diversity and productivity using structural equation and random forest models, while accounting for variation in climate, environmental heterogeneity, management and forest age. Results: We show that relationships between S and NPP strengthen with spatial grain. Within each grain, S → NPP and NPP → S have similar magnitudes, meaning that processes underlying S → NPP and NPP → S either operate simultaneously or that one of them is real and the other is an artefact. At all spatial grains, S was one of the weakest predictors of forest productivity, which was largely driven by biomass, temperature and forest management and age. Main conclusions: We conclude that spatial grain mediates relationships between biodiversity and productivity in real-world ecosystems and that results supporting predictions from each approach (NPP → S and S → NPP) serve as an impetus for future studies testing underlying mechanisms. Productivity–diversity relationships emerge at multiple spatial grains, which should widen the focus of national and global policy and research to larger spatial grains.

AB - Aim: Biodiversity and ecosystem productivity vary across the globe, and considerable effort has been made to describe their relationships. Biodiversity and ecosystem functioning research has traditionally focused on how experimentally controlled species richness affects net primary productivity (S → NPP) at small spatial grains. In contrast, the influence of productivity on richness (NPP → S) has been explored at many grains in naturally assembled communities. Mismatches in spatial scale between approaches have fuelled debate about the strength and direction of biodiversity–productivity relationships. Here, we examine the direction and strength of the influence of productivity on diversity (NPP → S) and the influence of diversity on productivity (S → NPP) and how these vary across spatial grains. Location: Contiguous USA. Time period: 1999–2015. Major taxa studied: Woody species (angiosperms and gymnosperms). Methods: Using data from North American forests at grains from local (672 m2) to coarse spatial units (median area = 35,677 km2), we assess relationships between diversity and productivity using structural equation and random forest models, while accounting for variation in climate, environmental heterogeneity, management and forest age. Results: We show that relationships between S and NPP strengthen with spatial grain. Within each grain, S → NPP and NPP → S have similar magnitudes, meaning that processes underlying S → NPP and NPP → S either operate simultaneously or that one of them is real and the other is an artefact. At all spatial grains, S was one of the weakest predictors of forest productivity, which was largely driven by biomass, temperature and forest management and age. Main conclusions: We conclude that spatial grain mediates relationships between biodiversity and productivity in real-world ecosystems and that results supporting predictions from each approach (NPP → S and S → NPP) serve as an impetus for future studies testing underlying mechanisms. Productivity–diversity relationships emerge at multiple spatial grains, which should widen the focus of national and global policy and research to larger spatial grains.

KW - biodiversity–ecosystem function

KW - biomass

KW - climate

KW - machine learning

KW - more individuals hypothesis

KW - spatial grain

KW - species–energy relationship

KW - Ecosystems Research

UR - http://www.scopus.com/inward/record.url?scp=85089379386&partnerID=8YFLogxK

U2 - 10.1111/geb.13165

DO - 10.1111/geb.13165

M3 - Journal articles

AN - SCOPUS:85089379386

VL - 29

SP - 1940

EP - 1955

JO - Global Ecology and Biogeography

JF - Global Ecology and Biogeography

SN - 1466-822X

IS - 11

ER -

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DOI