Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany.
Institute of Biology, Freie Universität Berlin, Berlin, Germany.
Ecol Lett. 2020 Nov;23(11):1682-1692. doi: 10.1111/ele.13577. Epub 2020 Sep 2.
The reliability of transferring species distribution models (SDMs) to new ranges and future climates has been widely debated. Biological invasions offer the unique opportunity to evaluate model transferability, as distribution data between species' native and introduced ranges are geographically independent of each other. Here, we performed the first global quantitative synthesis of the spatial transferability of SDMs for 235 invasive species and assessed the association of model transferability with the focal invader, model choice and parameterisation. We found that SDMs had limited spatial transferability overall. However, model transferability was higher for terrestrial endotherms, species introduced from or to the Southern Hemisphere, and species introduced more recently. Model transferability was also positively associated with the number of presences for model calibration and evaluation, respectively, but negatively with the number of predictors. These findings highlight the importance of considering the characteristics of the focal invader, environment and modelling in the application and assessment of SDMs.
物种分布模型(SDM)向新范围和未来气候的可靠性已被广泛讨论。生物入侵提供了评估模型可转移性的独特机会,因为物种的本地和引入范围之间的分布数据在地理上是相互独立的。在这里,我们首次对 235 种入侵物种的 SDM 空间可转移性进行了全球定量综合评估,并评估了模型可转移性与焦点入侵物种、模型选择和参数化的关系。我们发现,总体而言,SDM 的空间可转移性有限。然而,对于陆地温血动物、来自南半球或引入到南半球的物种以及最近引入的物种,模型的可转移性更高。模型的可转移性还分别与模型校准和评估的存在数量呈正相关,但与预测因子的数量呈负相关。这些发现强调了在 SDM 的应用和评估中考虑焦点入侵物种、环境和建模特征的重要性。