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首页> 外文期刊>The American Naturalist: Devoted to the Conceptual Unification of the Biological Sciences >A Framework for Simultaneous Tests of Abiotic, Biotic, and Historical Drivers of Species Distributions: Empirical Tests for North American Wood Warblers Based on Climate and Pollen
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A Framework for Simultaneous Tests of Abiotic, Biotic, and Historical Drivers of Species Distributions: Empirical Tests for North American Wood Warblers Based on Climate and Pollen

机译:同时测试非生物,生物和历史司机的框架:基于气候和花粉的北美木莺的实证测试

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摘要

Understanding how abiotic, biotic, and historical factors shape species distributions remains a central question in ecology, but studies linking biotic factors to continental-scale patterns remain scarce. Here, we present a novel framework for simultaneously testing patterns expected when abiotic, biotic, or historical factors drive species range limits. We use ecological niche models to produce empirical estimates of the "biotic, abiotic, and movement" paradigm (BAM diagrams), which previously has been used only theoretically. On the basis of climatic and pollen data as well as explicit consideration of dispersal limitations, we implement the framework for a group of North American birds (Oreothlypis warblers) with clear habitat associations. Because the pollen-based predictor variables characterize vegetation, they represent biotic factors needed by each bird species. Although continental-scale patterns of distribution are traditionally attributed to abiotic factors, only one species matched the hypothesis of solely abiotic drivers. In contrast, pollen-based models indicate biotic drivers for two species, correctly predicting their absence in climatically suitable areas. These results highlight the feasibility of considering and quantifying the potential effects of biotic interactions on species ranges, especially when interactions can be decoupled from abiotic factors. Furthermore, the availability of pollen data now and in the Holocene highlights the potential of these data to be used to predict range shifts of other organisms tightly dependent on particular vegetation types.
机译:了解非生物,生物和历史因素的形状分布仍然是生态的核心问题,但研究将生物因素与大陆范围模式相关联稀缺。在这里,我们提出了一种用于同时测试预期的非生物,生物或历史因素驱动物种范围限制的模式的新框架。我们使用生态利基模型来产生“生物,非洲生物和运动”范式(BAM图)的经验估计,其先前仅在理论上使用。在气候和花粉数据的基础上以及明确考虑分散局限性的基础上,我们为一群北美鸟类(Oleoothlypis Warblers)实施了明确的栖息地协会的框架。因为基于花粉的预测因子变量表征了植被,所以它们代表每只鸟类所需的生物因子。虽然传统上分布的大陆分布模式归因于非生物因素,但只有一个物种匹配单独非生​​物司机的假设。相比之下,基于花粉的模型表示两种物种的生物驱动因素,正确预测其在气候合适的区域中的缺席。这些结果突出了考虑和量化生物相互作用对物种范围的潜在影响的可行性,特别是当相互作用可以与非生物因子解脱出来时。此外,现在和全新世的花粉数据的可用性突出了这些数据的潜力,用于预测其他生物紧紧依赖于特定植被类型的其他生物的转变。

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