Transferring biodiversity-ecosystem function research to the management of ‘real-world’ ecosystems
Research output: Contributions to collected editions/works › Chapter › peer-review
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Mechanisms underlying the relationship between biodiversity and ecosystem function. ed. / Nico Eisenhauer; David A. Bohan; Alex J. Dumbrell. London: Academic Press Inc., 2019. p. 323-356 (Advances in Ecological Research; Vol. 61).
Research output: Contributions to collected editions/works › Chapter › peer-review
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TY - CHAP
T1 - Transferring biodiversity-ecosystem function research to the management of ‘real-world’ ecosystems
AU - Manning, P.
AU - Loos, Jacqueline
AU - Barnes, Andrew D.
AU - Batáry, Péter
AU - Bianchi, Felix J.J.A.
AU - Buchmann, Nina
AU - De Deyn, Gerlinde B.
AU - Ebeling, Anne
AU - Eisenhauer, Nico
AU - Fischer, Markus
AU - Fründ, Jochen
AU - Grass, Ingo
AU - Isselstein, Johannes
AU - Jochum, M.
AU - Klein, Alexandra M.
AU - Klingenberg, Esther O.F.
AU - Landis, Douglas A.
AU - Lepš, Jan
AU - Lindborg, Regina
AU - Meyer, Sebastian T.
AU - Temperton, Vicky M.
AU - Westphal, Catrin
AU - Tscharntke, Teja
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Biodiversity-ecosystem functioning (BEF) research grew rapidly following concerns that biodiversity loss would negatively affect ecosystem functions and the ecosystem services they underpin. However, despite evidence that biodiversity strongly affects ecosystem functioning, the influence of BEF research upon policy and the management of ‘real-world’ ecosystems, i.e., semi-natural habitats and agroecosystems, has been limited. Here, we address this issue by classifying BEF research into three clusters based on the degree of human control over species composition and the spatial scale, in terms of grain, of the study, and discussing how the research of each cluster is best suited to inform particular fields of ecosystem management. Research in the first cluster, small-grain highly controlled studies, is best able to provide general insights into mechanisms and to inform the management of species-poor and highly managed systems such as croplands, plantations, and the restoration of heavily degraded ecosystems. Research from the second cluster, small-grain observational studies, and species removal and addition studies, may allow for direct predictions of the impacts of species loss in specific semi-natural ecosystems. Research in the third cluster, large-grain uncontrolled studies, may best inform landscape-scale management and national-scale policy. We discuss barriers to transfer within each cluster and suggest how new research and knowledge exchange mechanisms may overcome these challenges. To meet the potential for BEF research to address global challenges, we recommend transdisciplinary research that goes beyond these current clusters and considers the social-ecological context of the ecosystems in which BEF knowledge is generated. This requires recognizing the social and economic value of biodiversity for ecosystem services at scales, and in units, that matter to land managers and policy makers.
AB - Biodiversity-ecosystem functioning (BEF) research grew rapidly following concerns that biodiversity loss would negatively affect ecosystem functions and the ecosystem services they underpin. However, despite evidence that biodiversity strongly affects ecosystem functioning, the influence of BEF research upon policy and the management of ‘real-world’ ecosystems, i.e., semi-natural habitats and agroecosystems, has been limited. Here, we address this issue by classifying BEF research into three clusters based on the degree of human control over species composition and the spatial scale, in terms of grain, of the study, and discussing how the research of each cluster is best suited to inform particular fields of ecosystem management. Research in the first cluster, small-grain highly controlled studies, is best able to provide general insights into mechanisms and to inform the management of species-poor and highly managed systems such as croplands, plantations, and the restoration of heavily degraded ecosystems. Research from the second cluster, small-grain observational studies, and species removal and addition studies, may allow for direct predictions of the impacts of species loss in specific semi-natural ecosystems. Research in the third cluster, large-grain uncontrolled studies, may best inform landscape-scale management and national-scale policy. We discuss barriers to transfer within each cluster and suggest how new research and knowledge exchange mechanisms may overcome these challenges. To meet the potential for BEF research to address global challenges, we recommend transdisciplinary research that goes beyond these current clusters and considers the social-ecological context of the ecosystems in which BEF knowledge is generated. This requires recognizing the social and economic value of biodiversity for ecosystem services at scales, and in units, that matter to land managers and policy makers.
KW - BEF research
KW - Biodiversity experiments
KW - Ecosystem management
KW - Ecosystem services
KW - Grasslands
KW - Knowledge transfer
KW - Ecosystems Research
UR - http://www.scopus.com/inward/record.url?scp=85069551283&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/a7eef9d3-a586-3ed4-afaf-b026ff2523e4/
U2 - 10.1016/bs.aecr.2019.06.009
DO - 10.1016/bs.aecr.2019.06.009
M3 - Chapter
AN - SCOPUS:85069551283
SN - 978-0-08-102912-1
T3 - Advances in Ecological Research
SP - 323
EP - 356
BT - Mechanisms underlying the relationship between biodiversity and ecosystem function
A2 - Eisenhauer, Nico
A2 - Bohan, David A.
A2 - Dumbrell, Alex J.
PB - Academic Press Inc.
CY - London
ER -