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A Conceptual Framework to Integrate Biodiversity, Ecosystem Function, and Ecosystem Service ModelsGlobal biodiversity and ecosystem service models typically operate independently. Ecosystem service projections may therefore be overly optimistic because they do not always account for the role of biodiversity in maintaining ecological functions. We review models used in recent global model intercomparison projects and develop a novel model integration framework to more fully account for the role of biodiversity in ecosystem function, a key gap for linking biodiversity changes to ecosystem services. We propose two integration pathways. The first uses empirical data on biodiversity–ecosystem function relationships to bridge biodiversity and ecosystem function models and could currently be implemented globally for systems and taxa with sufficient data. We also propose a trait-based approach involving greater incorporation of biodiversity into ecosystem function models. Pursuing both approaches will provide greater insight into biodiversity and ecosystem services projections. Integrating biodiversity, ecosystem function, and ecosystem service modeling will enhance policy development to meet global sustainability goals.
Document ID
20220009154
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Sarah R Weiskopf ORCID
(United States Geological Survey Reston, United States)
Bonnie J E Myers ORCID
(North Carolina State University Raleigh, United States)
Maria Isabel Arce-Plata
(Instituto Profesional Alemán Wilhelm von Humboldt Santiago, Chile)
Julia L Blanchard ORCID
(University of Tasmania Hobart, Australia)
Simon Ferrier
(CSIRO Land and Water Canberra, Australian Capital Territory, Australia)
Elizabeth A Fulton
(University of Tasmania Hobart, Australia)
Mike Harfoot
(United Nations Environment Programme Nairobi, Kenya)
Forest Isbell
(University of Minnesota Minneapolis, United States)
Justin A Johnson
(University of Minnesota Minneapolis, United States)
Akira S Mori
(University of Tokyo)
Ensheng Weng
(Columbia University New York, United States)
Zuzana V HarmáCˇková
(Stockholm University Stockholm, Sweden)
María Cecilia Londoño-Murcia
(Instituto Profesional Alemán Wilhelm von Humboldt Santiago, Chile)
Brian W Miller
(United States Geological Survey Reston, United States)
Laura M Pereira
(University of the Witwatersrand Johannesburg, South Africa)
Isabel M D Rosa
(Bangor University Bangor, United Kingdom)
Date Acquired
June 9, 2022
Publication Date
September 1, 2022
Publication Information
Publication: Bioscience
Publisher: Oxford University Press
Volume: 72
Issue: 11
Issue Publication Date: November 1, 2022
ISSN: 0006-3568
e-ISSN: 1525-3244
Subject Category
Meteorology And Climatology
Funding Number(s)
CONTRACT_GRANT: 80NSSC20M0282
CONTRACT_GRANT: 80NSSC21K1496
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
biodiversity models
ecosystem service models
ecological functions
model integration framework
empirical data
trait-based approach
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