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生物地理学的场论:一种用于预测生物多样性模式的空间显式模型。

Field theory for biogeography: a spatially explicit model for predicting patterns of biodiversity.

机构信息

Center for Ecology and Evolutionary Biology, University of Oregon, Eugene, OR 97403-5289, USA.

出版信息

Ecol Lett. 2010 Jan;13(1):87-95. doi: 10.1111/j.1461-0248.2009.01404.x. Epub 2009 Nov 10.

Abstract

Predicting the variation of biodiversity across the surface of the Earth is a fundamental issue in ecology, and in this article we focus on one of the most widely studied spatial biodiversity patterns: the species-area relationship (SAR). The SAR is a central tool in conservation, being used to predict species loss following global climate change, and is striking in its universality throughout different geographical regions and across the tree of life. In this article we draw upon the methods of quantum field theory and the foundation of neutral community ecology to derive the first spatially explicit neutral prediction for the SAR. We find that the SAR has three phases, with a power law increase at intermediate scales, consistent with decades of documented empirical patterns. Our model also provides a building block for incorporating non-neutral biological variation, with the potential to bridge the gap between neutral and niche-based approaches to community assembly.

摘要

预测地球表面生物多样性的变化是生态学中的一个基本问题,本文我们重点研究了最广泛研究的空间生物多样性模式之一:物种-面积关系 (SAR)。SAR 是保护的重要工具,用于预测全球气候变化后物种的丧失,并且在不同地理区域和整个生命之树中都具有普遍性,这一点非常引人注目。在本文中,我们借鉴量子场论的方法和中性群落生态学的基础,推导出 SAR 的第一个空间明确的中性预测。我们发现,SAR 有三个阶段,在中等尺度上呈幂律增长,与几十年来记录的经验模式一致。我们的模型还为纳入非中性生物变异提供了一个构建块,有可能弥合中性和基于生态位的群落组装方法之间的差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d0d/2810436/4443a56319a0/ele0013-0087-f1.jpg

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