Hill–Chao numbers allow decomposing gamma multifunctionality into alpha and beta components

Author:

Chao Anne1ORCID,Chiu Chun‐Huo2ORCID,Hu Kai‐Hsiang1,van der Plas Fons3ORCID,Cadotte Marc W.4ORCID,Mitesser Oliver5ORCID,Thorn Simon67ORCID,Mori Akira S.8ORCID,Scherer‐Lorenzen Michael9ORCID,Eisenhauer Nico1011ORCID,Bässler Claus121314ORCID,Delory Benjamin M.15ORCID,Feldhaar Heike16ORCID,Fichtner Andreas15ORCID,Hothorn Torsten17ORCID,Peters Marcell K.18ORCID,Pierick Kerstin1920ORCID,von Oheimb Goddert21ORCID,Müller Jörg512ORCID

Affiliation:

1. Institute of Statistics National Tsing Hua University Hsin‐Chu Taiwan

2. Department of Agronomy National Taiwan University Taipei Taiwan

3. Plant Ecology and Nature Conservation Group Wageningen University & Research Wageningen The Netherlands

4. Biological Sciences University of Toronto‐Scarborough Toronto Ontario Canada

5. Field Station Fabrikschleichach Department of Animal Ecology and Tropical Biology, Biocenter University of Würzburg Rauhenebrach Germany

6. Hessian Agency for Nature Conservation Environment and Geology Biodiversity Center Gießen Germany

7. Czech Academy of Sciences Biology Centre Institute of Entomology České Budějovice Czech Republic

8. Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan

9. Geobotany, Faculty of Biology University of Freiburg Freiburg Germany

10. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany

11. Institute of Biology Leipzig University Leipzig Germany

12. Bavarian Forest National Park Grafenau Germany

13. Faculty of Biological Sciences Institute for Ecology, Evolution and Diversity Conservation Biology Goethe University Frankfurt Frankfurt am Main Germany

14. Ecology of Fungi, Bayreuth Center of Ecology and Environmental Research (BayCEER) University of Bayreuth Bayreuth Germany

15. Institute of Ecology Leuphana University Lüneburg Lüneburg Germany

16. Department of Animal Ecology I Bayreuth Center of Ecology and Environmental Research (BayCEER) University of Bayreuth Bayreuth Germany

17. Epidemiology, Biostatistics and Prevention Institute University of Zurich Zurich Switzerland

18. Department of Animal Ecology and Tropical Biology, Biocenter University of Würzburg Würzburg Germany

19. Silviculture and Forest Ecology of the Temperate Zones University of Göttingen Göttingen Germany

20. Department for Spatial Structures and Digitization of Forests University of Göttingen Göttingen Germany

21. Institute of General Ecology and Environmental Protection Technische Universität Dresden Tharandt Germany

Abstract

AbstractBiodiversity–ecosystem functioning (BEF) research has provided strong evidence and mechanistic underpinnings to support positive effects of biodiversity on ecosystem functioning, from single to multiple functions. This research has provided knowledge gained mainly at the local alpha scale (i.e. within ecosystems), but the increasing homogenization of landscapes in the Anthropocene has raised the potential that declining biodiversity at the beta (across ecosystems) and gamma scales is likely to also impact ecosystem functioning. Drawing on biodiversity theory, we propose a new statistical framework based on Hill–Chao numbers. The framework allows decomposition of multifunctionality at gamma scales into alpha and beta components, a critical but hitherto missing tool in BEF research; it also allows weighting of individual ecosystem functions. Through the proposed decomposition, new BEF results for beta and gamma scales are discovered. Our novel approach is applicable across ecosystems and connects local‐ and landscape‐scale BEF assessments from experiments to natural settings.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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