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Disregarding topographical heterogeneity biases species turnover assessments based on bioclimatic models

机译:忽略基于生物气候模型的地形异质性偏差物种更新评估

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We investigated whether the inclusion of topographical heterogeneity in bioclimatic envelope models would significantly alter predictions of climate change - induced broad-scale butterfly species range size changes in Europe. Using generalized additive models, and data on current climate and species distributions and two different climate scenarios (HadCM3A2 and HadCM3B2) for the period 2051-2080, we developed predictions of the currently suitable area and potential range size changes of 100 European butterfly species. The inclusion of elevation range increased the predictive accuracy of climate-only models for 86 of the 100 species. The differences in projected future distributions were most notable in mountainous areas, where the climate-topography models projected only ca. half of the species losses than the climate-only models. By contrast, climate-topography models estimated double the losses of species than climate-only models in the flatlands regions. Our findings suggest that disregarding topographical heterogeneity may cause a significant source of error in broad-scale bioclimatic modelling. Mountainous regions are likely to be even more important for future conservation of species than had until now been predicted, based on bioclimatic envelope models that did not take an explicit account of elevational range of grid squares.
机译:我们调查了在生物气候覆盖模型中包含地形异质性是否会显着改变对气候变化的预测-欧洲引起的大规模蝴蝶物种范围大小变化。使用广义加性模型以及有关2051-2080时期当前气候和物种分布以及两种不同气候情景(HadCM3A2和HadCM3B2)的数据,我们对100种欧洲蝶类的当前适宜面积和潜在范围大小变化进行了预测。包括海拔范围在内,提高了100种中的86种仅气候模式的预测准确性。预计未来分布的差异最明显的是山区,那里的气候-地形学模型仅预测到了大约2000年。与仅气候模式相比,一半的物种损失。相比之下,在平原地区,气候地形模型估计的物种损失是仅气候模型的两倍。我们的研究结果表明,忽视地形异质性可能会在大规模生物气候模拟中引起重要的误差来源。基于没有明确考虑网格平方的高程范围的生物气候包络模型,山区对未来物种的保护可能比迄今为止的预测更为重要。

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