Sanín Camilo, Anderson Robert P
Am Nat. 2018 Aug;192(2):E48-E61. doi: 10.1086/697537. Epub 2018 May 17.
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.
理解非生物、生物和历史因素如何塑造物种分布仍然是生态学中的一个核心问题,但将生物因素与大陆尺度格局联系起来的研究仍然很少。在这里,我们提出了一个新颖的框架,用于同时检验当非生物、生物或历史因素驱动物种分布范围限制时所预期的格局。我们使用生态位模型来对“生物、非生物和迁移”范式(BAM图)进行实证估计,该范式此前仅在理论上被使用。基于气候和花粉数据以及对扩散限制的明确考虑,我们为一组具有明确栖息地关联的北美鸟类(奥氏莺)实施了该框架。由于基于花粉的预测变量表征了植被,它们代表了每种鸟类所需的生物因素。尽管传统上大陆尺度的分布格局归因于非生物因素,但只有一个物种符合仅由非生物驱动因素的假设。相比之下,基于花粉的模型表明有两个物种是由生物驱动的,正确地预测了它们在气候适宜地区的缺失。这些结果突出了考虑和量化生物相互作用对物种分布范围潜在影响的可行性,特别是当相互作用可以与非生物因素解耦时。此外,现在和全新世的花粉数据的可用性突出了这些数据用于预测其他紧密依赖特定植被类型的生物体分布范围变化的潜力。