Chapter One - A multitrophic perspective on biodiversity–ecosystem functioning research

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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 humankind depends upon. In this chapter, 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.

Section snippets

What are the key achievements of BEF research?

“The community is indeed the hierarchical level where the basic characteristics of life—its diversity, complexity, and historical nature—are perhaps the most daunting and challenging. […] however, most of the theoretical insights that have been gained about the effects of biodiversity on ecosystem functioning come from approaches developed in community ecology.”

Loreau (2010)

Human activities influence virtually all ecosystems around the globe through a large variety of environmental alterations (

What are the key challenges of future BEF research?

“The central problem in understanding and measuring biological diversity is that we still have a lot of work to do. And while we are taking inventory, the shelves are already being cleared.”

Christian Wirth (2013)

Congruent to the statement above, biodiversity research is a field under time pressure. Biodiversity change can alter the functioning of ecosystems in dramatic ways and at an unprecedented pace, which will have important consequences for the provision of ecosystem services (Balvanera et

Concluding remarks

The BEF research field faces the critical challenge to simultaneously develop a more mechanistic understanding of BEF relationships and their context-dependencies as well as to scale up from the plot-level mechanisms and processes to management-relevant spatial and temporal scales in order to operationalize BEF insights for ecosystem management, society, and decision making. Here, we argue that further exploring trophic (e.g., Barnes et al., 2018) and non-trophic interactions (e.g.,

Acknowledgements

The Jena Experiment is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation; FOR 1451), with additional support by the Friedrich Schiller University Jena, the Max Planck Institute for Biogeochemistry, and the Swiss National Science Foundation (SNF). This project received additional support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement no. 677232 to NE) and the German Centre for

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