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Beyond taxonomic diversity patterns: how do alpha , beta and gamma components of bird functional and phylogenetic diversity respond to environmental gradients across France?

机译:超越分类多样性模式:鸟类功能和系统发育多样性的α,β和γ成分如何响应整个法国的环境梯度?

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Aim: To test how far can macroecological hypotheses relating diversity to environmental factors be extrapolated to functional and phylogenetic diversities, i.e. to the extent to which functional traits and evolutionary backgrounds vary among species in a community or region. We use a spatial partitioning of diversity where regional or gamma -diversity is calculated by aggregating information on local communities, local or alpha -diversity corresponds to diversity in one locality, and turnover or beta -diversity corresponds to the average turnover between localities and the region. Location: France. Methods: We used the Rao quadratic entropy decomposition of diversity to calculate local, regional and turnover diversity for each of three diversity facets (taxonomic, phylogenetic and functional) in breeding bird communities of France. Spatial autoregressive models and partial regression analyses were used to analyse the relationships between each diversity facet and environmental gradients (climate and land use). Results: Changes in gamma -diversity are driven by changes in both alpha - and beta -diversity. Low levels of human impact generally favour all three facets of regional diversity and heterogeneous landscapes usually harbour higher beta -diversity in the three facets of diversity, although functional and phylogenetic turnover show some relationships in the opposite direction. Spatial and environmental factors explain a large percentage of the variation in the three diversity facets (>60%), and this is especially true for phylogenetic diversity. In all cases, spatial structure plays a preponderant role in explaining diversity gradients, suggesting an important role for dispersal limitations in structuring diversity at different spatial scales. Main conclusions: Our results generally support the idea that hypotheses that have previously been applied to taxonomic diversity, both at local and regional scales, can be extended to phylogenetic and functional diversity. Specifically, changes in regional diversity are the result of changes in both local and turnover diversity, some environmental conditions such as human development have a great impact on diversity levels, and heterogeneous landscapes tend to have higher diversity levels. Interestingly, differences between diversity facets could potentially provide further insights into how large- and small-scale ecological processes interact at the onset of macroecological patterns.Digital Object Identifier http://dx.doi.org/10.1111/j.1466-8238.2010.00647.x
机译:目的:检验将与环境因素相关的宏观生态学假设可推断到功能和系统发育多样性的程度,即在某种程度上,某个社区或区域内物种的功能性状和进化背景有所不同。我们使用多样性的空间划分方法,其中区域或伽玛多样性是通过汇总有关本地社区的信息来计算的,本地或alpha多样性对应于一个地方的多样性,营业额或beta多样性对应于地方与该地区之间的平均营业额。地点:法国。方法:我们使用多样性的Rao二次熵分解来计算法国繁殖鸟类群落的三个多样性面(分类学,系统发育和功能性)中的每一个的局部,区域和周转多样性。使用空间自回归模型和部分回归分析来分析每个多样性方面与环境梯度(气候和土地利用)之间的关系。结果:伽玛多样性的变化是由阿尔法和贝塔多样性的变化所驱动的。低水平的人类影响通常有利于区域多样性的所有三个方面,而异质景观通常在多样性的三个方面都具有较高的β多样性,尽管功能和系统发生更新显示出相反的关系。空间和环境因素解释了三个多样性方面的大部分变化(> 60%),对于系统发育多样性尤其如此。在所有情况下,空间结构在解释多样性梯度方面都起着主要作用,暗示了分散限制在不同空间尺度上构建多样性方面的重要作用。主要结论:我们的结果总体上支持这样一种观点,即先前在局部和区域范围内应用于分类学多样性的假设可以扩展到系统发育和功能多样性。具体而言,区域多样性的变化是地方和周转多样性变化的结果,某些环境条件(如人类发展)对多样性水平有很大影响,异质景观往往具有更高的多样性水平。有趣的是,多样性方面之间的差异可能潜在地提供关于宏观生态模式发生时大小生态过程如何相互作用的进一步见解。数字对象标识符http://dx.doi.org/10.1111/j.1466-8238.2010。 00647.x

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