量化生物相互作用对沿环境梯度的物种分布的总体影响
Quantifying the overall effect of biotic interactions on species distributions along environmental gradients
AI总结：
本研究针对群落生态学中区分环境与种间相互作用对物种分布影响的难题，开发了结合元网络、环境与物种出现数据的ELGRIN统计模型，通过对比两类作用的总体效应，经模拟与实证验证有效，并应用于欧洲阿尔卑斯山脊椎动物营养网络研究。
摘要：
将环境影响与种间相互作用对物种分布的影响区分开来，一直是群落生态学的核心目标。尽管多年来人们在分析物种共存模式以及开发精密工具方面付出了诸多努力，但我们仍无法实现这一重要目标。一个关键原因是，现有统计模型未能充分利用丰富的生态学知识，尤其是关于种间相互作用的知识。在此，我们开发了ELGRIN（一种统计模型），该模型同时结合种间相互作用知识（即元网络）、环境数据和物种出现数据，以厘清它们对物种分布的相对影响。ELGRIN并未聚焦于成对物种相互作用的单一效应——这类效应在复杂群落中意义甚微，而是将物种相互作用的总体效应与环境的总体效应进行对比。通过各类模拟数据和实证数据，我们证明了ELGRIN适用于实现针对互利共生、竞争和营养相互作用等各类种间相互作用的研究目标。随后，我们将该模型应用于欧洲阿尔卑斯山的脊椎动物营养网络，以绘制生物相互作用对物种分布的影响图谱。生态网络数据正与日俱增，我们认为利用这些数据来更好地理解生物多样性模式的时机已经成熟。ELGRIN为揭示种间相互作用如何实际影响物种分布提供了契机。
英文摘要：
Separating environmental effects from those of interspecific interactions on species distributions has always been a central objective of community ecology. Despite years of effort in analysing patterns of species co-occurrences and the developments of sophisticated tools, we are still unable to address this major objective. A key reason is that the wealth of ecological knowledge is not sufficiently harnessed in current statistical models, notably the knowledge on interspecific interactions. Here, we develop ELGRIN, a statistical model that simultaneously combines knowledge on interspecific interactions (i.e., the metanetwork), environmental data and species occurrences to tease apart their relative effects on species distributions. Instead of focusing on single effects of pairwise species interactions, which have little sense in complex communities, ELGRIN contrasts the overall effect of species interactions to that of the environment. Using various simulated and empirical data, we demonstrate the suitability of ELGRIN to address the objectives for various types of interspecific interactions like mutualism, competition and trophic interactions. We then apply the model on vertebrate trophic networks in the European Alps to map the effect of biotic interactions on species distributions.Data on ecological networks are everyday increasing and we believe the time is ripe to mobilize these data to better understand biodiversity patterns. ELGRIN provides this opportunity to unravel how interspecific interactions actually influence species distributions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
