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2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2020-01-01 DOI: 10.1016/s0065-2504(20)30036-2
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引用次数: 0
A new experimental approach to test why biodiversity effects strengthen as ecosystems age 一种新的实验方法来测试为什么生物多样性效应随着生态系统的老化而增强
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-10-15 DOI: 10.1016/BS.AECR.2019.06.006
Anja Vogel, A. Ebeling, G. Gleixner, C. Roscher, S. Scheu, M. Ciobanu, Eva Koller-France, M. Lange, Alfred Lochner, S. Meyer, Y. Oelmann, W. Wilcke, B. Schmid, N. Eisenhauer
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引用次数: 24
Resilience in Complex Socio-ecological Systems 复杂社会生态系统中的弹性
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-01-01 DOI: 10.1016/s0065-2504(19)x0002-1
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引用次数: 1
Mechanisms underlying the relationship between biodiversity and ecosystem function 生物多样性与生态系统功能之间关系的机制
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-01-01 DOI: 10.1016/s0065-2504(19)x0003-3
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引用次数: 1
Adaptive capacity in ecosystems. 生态系统的适应能力。
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-01-01 DOI: 10.1016/bs.aecr.2019.02.001
David G Angeler, Hannah Fried-Petersen, Craig R Allen, Ahjond Garmestani, Dirac Twidwell, H E Birgé, W Chuang, V M Donovan, T Eason, C P Roberts, S M Sundstrom, C L Wonkka

Understanding the adaptive capacity of ecosystems to cope with change is crucial to management. However, unclear and often confusing definitions of adaptive capacity make application of this concept difficult. In this paper, we revisit definitions of adaptive capacity and operationalize the concept. We define adaptive capacity as the latent potential of an ecosystem to alter resilience in response to change. We present testable hypotheses to evaluate complementary attributes of adaptive capacity that may help further clarify the components and relevance of the concept. Adaptive sampling, inference and modeling can reduce key uncertainties incrementally over time and increase learning about adaptive capacity. Such improvements are needed because uncertainty about global change and its effect on the capacity of ecosystems to adapt to social and ecological change is high.

了解生态系统应对变化的适应能力对管理至关重要。然而,由于适应能力的定义不明确且经常混淆,因此很难应用这一概念。在本文中,我们将重新审视适应能力的定义,并对这一概念进行操作化。我们将适应能力定义为生态系统在应对变化时改变复原力的潜在潜力。我们提出了可检验的假设,以评估适应能力的互补属性,这可能有助于进一步阐明这一概念的组成部分和相关性。适应性取样、推断和建模可以逐步减少关键的不确定性,提高对适应能力的认识。由于全球变化及其对生态系统适应社会和生态变化能力的影响具有高度不确定性,因此需要进行此类改进。
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引用次数: 0
Copyright 版权
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-01-01 DOI: 10.1016/s0065-2504(19)30041-8
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引用次数: 0
Contributors 贡献者
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-01-01 DOI: 10.1016/s0065-2504(19)30043-1
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引用次数: 0
Preface: Mechanistic links between biodiversity and ecosystem functioning 前言:生物多样性与生态系统功能之间的机制联系
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-01-01 DOI: 10.1016/s0065-2504(19)30044-3
N. Eisenhauer, D. Bohan, A. Dumbrell
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引用次数: 4
A multitrophic perspective on biodiversity-ecosystem functioning research. 生物多样性生态系统功能研究的多营养视角。
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2019-01-01 Epub Date: 2019-07-23 DOI: 10.1016/bs.aecr.2019.06.001
Nico Eisenhauer, Holger Schielzeth, Andrew D Barnes, Kathryn Barry, Aletta Bonn, Ulrich Brose, Helge Bruelheide, Nina Buchmann, François Buscot, Anne Ebeling, Olga Ferlian, Grégoire T Freschet, Darren P Giling, Stephan Hättenschwiler, Helmut Hillebrand, Jes Hines, Forest Isbell, Eva Koller-France, Birgitta König-Ries, Hans de Kroon, Sebastian T Meyer, Alexandru Milcu, Jörg Müller, Charles A Nock, Jana S Petermann, Christiane Roscher, Christoph Scherber, Michael Scherer-Lorenzen, Bernhard Schmid, Stefan A Schnitzer, Andreas Schuldt, Teja Tscharntke, Manfred Türke, Nicole M van Dam, Fons van der Plas, Anja Vogel, Cameron Wagg, David A Wardle, Alexandra Weigelt, Wolfgang W Weisser, Christian Wirth, Malte Jochum

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.

对生物多样性空前丧失的功能后果的担忧促使生物多样性生态系统功能研究成为过去25年来最活跃的生态研究领域之一。数百项实验将生物多样性作为一个自变量进行了操纵,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加。这项研究还确定了BEF关系的一些潜在机制,关系强度的一些上下文依赖性,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场景中,从多营养角度看待生物相互作用是推进未来BEF研究和解决其一些最重要的剩余挑战的关键。我们讨论了空间和时间上多营养相互作用的研究和量化有助于从小规模生物多样性操作和生态系统功能评估扩大到跨生态系统边界管理相关空间尺度。我们特别考虑多营养概念框架来理解和预测BEF关系的上下文依赖性。此外,我们强调了多营养BEF关系的生态进化基础的重要性。我们概述了FAIR数据(满足可查找性、可访问性、互操作性和可重用性的标准)和可重复处理将是通过使其更加集成来推进这一研究领域的关键。最后,我们展示了这些BEF见解如何用于生态系统管理、社会和政策。鉴于人类福祉严重依赖于多样化、多营养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战略的关键。
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引用次数: 74
Preface: Ecosystem Services: From Biodiversity to Society, Part 2 前言:生态系统服务:从生物多样性到社会,第2部分
2区 环境科学与生态学 Q1 Agricultural and Biological Sciences Pub Date : 2016-12-31 DOI: 10.1016/S0065-2504(16)30009-5
D. Bohan, M. Pocock, G. Woodward
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引用次数: 0
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Advances in Ecological Research
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