| Literature DB >> 31908360 |
Nico Eisenhauer1,2, Holger Schielzeth3, Andrew D Barnes1,2, Kathryn Barry1,4, Aletta Bonn1, Ulrich Brose1,5, Helge Bruelheide1,6, Nina Buchmann7, François Buscot1,8, Anne Ebeling9, Olga Ferlian1,2, Grégoire T Freschet10, Darren P Giling1,2,11, Stephan Hättenschwiler10, Helmut Hillebrand1,12, Jes Hines1,2, Forest Isbell13, Eva Koller-France14, Birgitta König-Ries1,15, Hans de Kroon16, Sebastian T Meyer17, Alexandru Milcu18,10, Jörg Müller19,20, Charles A Nock21,22, Jana S Petermann23, Christiane Roscher1,24, Christoph Scherber25, Michael Scherer-Lorenzen21, Bernhard Schmid26, Stefan A Schnitzer27, Andreas Schuldt28, Teja Tscharntke29,30, Manfred Türke1,2,31, Nicole M van Dam1,32, Fons van der Plas2, Anja Vogel1,2,11, Cameron Wagg33,34, David A Wardle35, Alexandra Weigelt1,4, Wolfgang W Weisser17, Christian Wirth1,4, Malte Jochum1,2,36.
Abstract
Concern about the functional consequences of unprecedented loss in biodiversity has prompted biodiversity-ecosystem functioning (BEF) research to become one of the most active fields of ecological research in the past 25 years. Hundreds of experiments have manipulated biodiversity as an independent variable and found compelling support that the functioning of ecosystems increases with the diversity of their ecological communities. This research has also identified some of the mechanisms underlying BEF relationships, some context-dependencies of the strength of relationships, as well as implications for various ecosystem services that mankind depends upon. In this paper, we argue that a multitrophic perspective of biotic interactions in random and non-random biodiversity change scenarios is key to advance future BEF research and to address some of its most important remaining challenges. We discuss that the study and the quantification of multitrophic interactions in space and time facilitates scaling up from small-scale biodiversity manipulations and ecosystem function assessments to management-relevant spatial scales across ecosystem boundaries. We specifically consider multitrophic conceptual frameworks to understand and predict the context-dependency of BEF relationships. Moreover, we highlight the importance of the eco-evolutionary underpinnings of multitrophic BEF relationships. We outline that FAIR data (meeting the standards of findability, accessibility, interoperability, and reusability) and reproducible processing will be key to advance this field of research by making it more integrative. Finally, we show how these BEF insights may be implemented for ecosystem management, society, and policy. Given that human well-being critically depends on the multiple services provided by diverse, multitrophic communities, integrating the approaches of evolutionary ecology, community ecology, and ecosystem ecology in future BEF research will be key to refine conservation targets and develop sustainable management strategies.Entities:
Year: 2019 PMID: 31908360 PMCID: PMC6944504 DOI: 10.1016/bs.aecr.2019.06.001
Source DB: PubMed Journal: Adv Ecol Res ISSN: 0065-2504 Impact factor: 7.429