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生物相互作用的信息可提高分布模型的可转移性。

Information on biotic interactions improves transferability of distribution models.

作者信息

Godsoe William, Murray Rua, Plank Michael J

机构信息

Bio-Protection Research Centre, Lincoln University, P.O. Box 85084, Lincoln 7647, New Zealand; and School of Biological Sciences, University of Canterbury, Christchurch 8140, New Zealand.

出版信息

Am Nat. 2015 Feb;185(2):281-90. doi: 10.1086/679440. Epub 2014 Dec 22.

Abstract

Predicting changes in species' distributions is a crucial problem in ecology, with leading methods relying on information about species' putative climatic requirements. Empirical support for this approach relies on our ability to use observations of a species' distribution in one region to predict its range in other regions (model transferability). On the basis of this observation, ecologists have hypothesized that climate is the strongest determinant of species' distributions at large spatial scales. However, it is difficult to reconcile this claim with the pervasive effects of biotic interactions. Here, we resolve this apparent paradox by demonstrating how biotic interactions can affect species' range margins yet still be compatible with model transferability. We also identify situations where small changes in species' interactions dramatically shift range margins.

摘要

预测物种分布的变化是生态学中的一个关键问题,目前的主要方法依赖于有关物种假定气候需求的信息。这种方法的实证支持依赖于我们利用一个地区物种分布的观测数据来预测其在其他地区分布范围的能力(模型可转移性)。基于这一观察结果,生态学家们推测,在大空间尺度上,气候是物种分布的最强决定因素。然而,很难将这一观点与生物相互作用的普遍影响协调起来。在这里,我们通过展示生物相互作用如何影响物种的分布范围边界,但仍与模型可转移性兼容,解决了这一明显的矛盾。我们还确定了物种相互作用的微小变化会显著改变分布范围边界的情况。

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