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Global analysis of bird elevational diversity.

机译:鸟类海拔高度多样性的全球分析。

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Aim: Elevational gradients distributed across the globe are a powerful test system for understanding biodiversity. Here I use a comprehensive set of bird elevational gradients to test the main drivers of diversity, including sampling, area, mid-domain effect, temperature, temperature and water availability, and hypotheses of evolutionary history. Location: Seventy-eight elevational gradients of bird diversity from mountains in both hemispheres spanning 24.5 degrees S to 48.2 degrees N, including gradients from various climates, biogeographical regions and habitat types. Methods: Data on bird elevational diversity were taken from the literature. Of the 150 datasets found or compiled, only those with a high, unbiased sampling effort were used in analyses. Datasets sampled all birds, all breeding birds or all forest birds; a few studies detailed seasonal, elevational shifts. Eighteen predictions of diversity theory were tested, including three sets of interactions. Results: Birds display four distinct diversity patterns in nearly equal frequency on mountains: decreasing diversity, low-elevation plateaus, low-elevation plateaus with mid-peaks, and unimodal mid-elevational peaks. Bird elevational diversity strongly supports current climate as the main driver of diversity, particularly combined trends in temperature and water availability. Bird diversity on humid mountains is either decreasing or shows a low-elevation plateau in diversity, while on dry mountains it is unimodal or a broad, low-elevation plateau usually with a mid-elevation maximum. The predictions of sampling, area and mid-domain effect were not consistently supported globally. The only evolutionary hypothesis with preliminary support was niche conservatism. Main conclusions: Both water and temperature variables are needed to comprehensively predict elevational diversity patterns for birds. This result is consistent for breeding and forest birds, for both hemispheres, and for local- or regional-scale montane gradients. More analyses are needed to discern whether the mechanism underlying these relationships is ecological, based on direct physiological limitations or indirect food resource limitations, or historical, based on phylogenetic niche conservation or other evolutionary trends related to climate. The species-area and mid-domain effects are not supported as primary drivers of elevational diversity in birds.
机译:目的:遍布全球的海拔梯度是了解生物多样性的强大测试系统。在这里,我使用一套全面的鸟类海拔梯度来测试多样性的主要驱动因素,包括采样,面积,中域效应,温度,温度和水的有效性以及进化史的假设。位置:南半球两个山脉中的鸟类多样性的七十八个海拔梯度,范围为南纬24.5度至北纬48.2度,包括来自不同气候,生物地理区域和栖息地类型的梯度。方法:从文献中获得鸟类高程多样性的数据。在找到或编辑的150个数据集中,只有那些采样率高,无偏倚的数据才用于分析。数据集采样了所有鸟类,所有繁殖鸟类或所有森林鸟类;一些研究详细说明了季节性,海拔变化。测试了对多样性理论的18种预测,包括三组相互作用。结果:鸟类在山上以几乎相等的频率显示四种不同的多样性模式:多样性降低,低海拔高原,中峰低海拔高原和单峰中海拔高峰。鸟类的高度多样性强烈支持当前的气候,这是多样性的主要驱动力,尤其是温度和水供应的综合趋势。潮湿山区的鸟类多样性正在减少或呈现出低海拔高原,而干燥山区的鸟类多样性是单峰或低海拔高原,通常最高海拔处于中间。全球对采样,面积和中域效应的预测并不一致。具有初步支持的唯一进化论假设是利基保守主义。主要结论:需要水和温度变量来全面预测鸟类的海拔多样性模式。对于半球以及地方或区域尺度的山地坡度,该结果对于繁殖鸟类和森林鸟类都是一致的。需要更多的分析来辨别这些关系的基础是基于直接生理限制或间接粮食资源限制的生态机制,还是基于系统发育生态位保护或其他与气候有关的进化趋势的历史机制。不支持将物种区域和中域效应作为鸟类高程多样性的主要驱动力。

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