Measuring ecological niche overlap from occurrence and spatial environmental data

Measuring ecological niche overlap from occurrence and spatial environmental data
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DOI:
10.1111/j.1466-8238.2011.00698.x
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发表时间:
2012-04-01
影响因子:
6.4
通讯作者:
Guisan, Antoine
Guisan, Antoine
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Broennimann, Olivier;Fitzpatrick, Matthew C.;Guisan, Antoine

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目的关注全球变化将如何影响物种分布,在进化和社区背景下,结合越来越重视了解生态位动态,突出了越来越需要强大的方法来量化生态位之间或分类群内的差异。我们提出了一个统计框架来描述和比较环境生态位的发生和空间environmentdata.Location欧洲,北美和南美的框架适用于内核平滑的物种发生在网格化的环境空间的密度,计算生态位重叠的指标和测试假设生态位保守性。我们使用这个框架和模拟物种与预定义的分布和数量的生态位重叠来评估几个排序和物种分布建模技术,用于量化生态位重叠。我们说明的方法与数据上两个深入研究的入侵species.Results我们表明,生态位重叠可以准确地检测到的框架时,驱动变量的分布是已知的。该方法是强大的已知的和以前没有记录的偏见有关的物种发生的频率上发生的地理空间的环境条件的依赖。核平滑器的使用使得从地理空间移动到多变量环境空间的过程独立于环境空间中的采样努力和分辨率的任意选择。然而,使用排序和物种分布模型技术的选择,结合和加权的生态位重叠计算变量提供了对比results.Main结论该框架满足日益增长的需求,强大的方法来量化生态位的差异。它适用于研究不同地理分布的物种、亚种或种内谱系之间的生态位差异。或者,它可以用来衡量一个物种或种内谱系的环境生态位随时间变化的程度。
Aim Concerns over how global change will influence species distributions, in conjunction with increased emphasis on understanding niche dynamics in evolutionary and community contexts, highlight the growing need for robust methods to quantify niche differences between or within taxa. We propose a statistical framework to describe and compare environmental niches from occurrence and spatial environmental data.Location Europe, North America and South America.Methods The framework applies kernel smoothers to densities of species occurrence in gridded environmental space to calculate metrics of niche overlap and test hypotheses regarding niche conservatism. We use this framework and simulated species with pre-defined distributions and amounts of niche overlap to evaluate several ordination and species distribution modelling techniques for quantifying niche overlap. We illustrate the approach with data on two well-studied invasive species.Results We show that niche overlap can be accurately detected with the framework when variables driving the distributions are known. The method is robust to known and previously undocumented biases related to the dependence of species occurrences on the frequency of environmental conditions that occur across geographical space. The use of a kernel smoother makes the process of moving from geographical space to multivariate environmental space independent of both sampling effort and arbitrary choice of resolution in environmental space. However, the use of ordination and species distribution model techniques for selecting, combining and weighting variables on which niche overlap is calculated provide contrasting results.Main conclusions The framework meets the increasing need for robust methods to quantify niche differences. It is appropriate for studying niche differences between species, subspecies or intra-specific lineages that differ in their geographical distributions. Alternatively, it can be used to measure the degree to which the environmental niche of a species or intra-specific lineage has changed over time.