对研究物种相互作用的网络方法的严格评估

Nico Blüthgen, Michael Staab
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引用次数: 0

摘要

物种相互作用的生态网络很受欢迎,为了解群落结构和生态系统功能的变化提供了强大的分析工具。然而,网络分析和常用指标(如嵌套度和连接度)也招致了批评。一个主要的担忧是,观察到的模式会被误解为特化等生态位属性,而它们可能仅仅反映了取样、丰度和/或多样性的变化。因此,研究可能会对生态功能、稳定性或共灭绝风险得出错误的结论。我们强调了在分析和解释物种相互作用网络时可能出现的偏差,并回顾了克服这些偏差的解决方案,其中我们特别推荐使用考虑物种丰度的空模型。我们说明了为什么考虑物种和网络间的差异对于理解物种相互作用及其后果非常重要。网络分析可以促进对物种相互作用原理的了解,但前提是必须谨慎应用。
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A Critical Evaluation of Network Approaches for Studying Species Interactions
Ecological networks of species interactions are popular and provide powerful analytical tools for understanding variation in community structure and ecosystem functioning. However, network analyses and commonly used metrics such as nestedness and connectance have also attracted criticism. One major concern is that observed patterns are misinterpreted as niche properties such as specialization, whereas they may instead merely reflect variation in sampling, abundance, and/or diversity. As a result, studies potentially draw flawed conclusions about ecological function, stability, or coextinction risks. We highlight potential biases in analyzing and interpreting species-interaction networks and review the solutions available to overcome them, among which we particularly recommend the use of null models that account for species abundances. We show why considering variation across species and networks is important for understanding species interactions and their consequences. Network analyses can advance knowledge on the principles of species interactions but only when judiciously applied.
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来源期刊
CiteScore
19.90
自引率
1.70%
发文量
21
期刊介绍: The Annual Review of Ecology, Evolution, and Systematics is a scholarly publication that has been in circulation since 1970. It focuses on important advancements in the areas of ecology, evolutionary biology, and systematics, with relevance to all forms of life on Earth. The journal features essay reviews that encompass various topics such as phylogeny, speciation, molecular evolution, behavior, evolutionary physiology, population dynamics, ecosystem processes, and applications in invasion biology, conservation, and environmental management. Recently, the current volume of the journal transitioned from a subscription-based model to open access through the Annual Reviews' Subscribe to Open program. Consequently, all articles published in the current volume are now available under a CC BY license.
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