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关于物种相互作用的语境相关性的概率理解。

Towards a Probabilistic Understanding About the Context-Dependency of Species Interactions.

机构信息

Department of Civil and Environmental Engineering, MIT, 77 Massachusetts Av., Cambridge 02139, MA, USA.

Department of Mathematics, MIT, 77 Massachusetts Av., Cambridge 02139, MA, USA.

出版信息

Trends Ecol Evol. 2020 May;35(5):384-396. doi: 10.1016/j.tree.2019.12.011. Epub 2020 Jan 29.

Abstract

Observational and experimental studies have shown that an interaction class between two species (be it mutualistic, competitive, antagonistic, or neutral) may switch to a different class, depending on the biotic and abiotic factors within which species are observed. This complexity arising from the evidence of context-dependencies has underscored a difficulty in establishing a systematic analysis about the extent to which species interactions are expected to switch in nature and experiments. Here, we propose an overarching theoretical framework, by integrating probabilistic and structural approaches, to establish null expectations about switches of interaction classes across environmental contexts. This integration provides a systematic platform upon which it is possible to establish new hypotheses, clear predictions, and quantifiable expectations about the context-dependency of species interactions.

摘要

观察和实验研究表明,两种物种之间的相互作用类(无论是互利共生、竞争、拮抗还是中性)可能会根据观察到的物种所处的生物和非生物因素而转变为不同的类。这种由上下文相关性证据引起的复杂性突显了在自然界和实验中确定物种相互作用预期转变程度的系统分析的困难。在这里,我们通过整合概率和结构方法,提出了一个总体理论框架,以建立关于跨环境背景的相互作用类转变的零假设预期。这种整合提供了一个系统平台,在此基础上可以建立关于物种相互作用的上下文相关性的新假设、明确的预测和可量化的预期。

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