Eisenhauer Nico, Schielzeth Holger, Barnes Andrew D, Barry Kathryn, Bonn Aletta, Brose Ulrich, Bruelheide Helge, Buchmann Nina, Buscot François, Ebeling Anne, Ferlian Olga, Freschet Grégoire T, Giling Darren P, Hättenschwiler Stephan, Hillebrand Helmut, Hines Jes, Isbell Forest, Koller-France Eva, König-Ries Birgitta, de Kroon Hans, Meyer Sebastian T, Milcu Alexandru, Müller Jörg, Nock Charles A, Petermann Jana S, Roscher Christiane, Scherber Christoph, Scherer-Lorenzen Michael, Schmid Bernhard, Schnitzer Stefan A, Schuldt Andreas, Tscharntke Teja, Türke Manfred, van Dam Nicole M, van der Plas Fons, Vogel Anja, Wagg Cameron, Wardle David A, Weigelt Alexandra, Weisser Wolfgang W, Wirth Christian, Jochum Malte
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany.
Institute of Biology, Leipzig University, Deutscher Platz 5e, 04103 Leipzig, Germany.
Adv Ecol Res. 2019;61:1-54. doi: 10.1016/bs.aecr.2019.06.001. Epub 2019 Jul 23.
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.
对生物多样性前所未有的丧失所带来的功能后果的担忧,促使生物多样性与生态系统功能(BEF)研究成为过去25年中生态研究最活跃的领域之一。数百项实验将生物多样性作为自变量进行了操控,并发现了令人信服的证据,即生态系统的功能随着其生态群落的多样性而增强。这项研究还确定了BEF关系背后的一些机制、关系强度的一些背景依赖性,以及对人类所依赖的各种生态系统服务的影响。在本文中,我们认为,在随机和非随机生物多样性变化情景中对生物相互作用采取多营养级视角,是推动未来BEF研究以及应对其一些最重要的遗留挑战的关键。我们讨论了在空间和时间上对多营养级相互作用进行研究和量化,有助于从小规模生物多样性操控和生态系统功能评估扩大到跨越生态系统边界的与管理相关的空间尺度。我们特别考虑多营养级概念框架,以理解和预测BEF关系的背景依赖性。此外,我们强调了多营养级BEF关系的生态进化基础的重要性。我们概述了FAIR数据(符合可发现性、可访问性、互操作性和可重用性标准)和可重复处理将是通过使其更具综合性来推动这一研究领域发展的关键。最后,我们展示了这些BEF见解如何应用于生态系统管理、社会和政策。鉴于人类福祉严重依赖于多样的多营养级群落提供的多种服务,在未来的BEF研究中整合进化生态学、群落生态学和生态系统生态学的方法,将是完善保护目标和制定可持续管理策略的关键。