Institute of Biological and Environmental Sciences (IBES), University of Aberdeen, Tillydrone Avenue, Aberdeen AB24 2TZ, UK; Project Maya, 54 Tetherdown, London N10 1NG, UK.
Glob Chang Biol. 2014 Jun;20(6):1782-93. doi: 10.1111/gcb.12560. Epub 2014 Mar 28.
There is increasing evidence that the distributions of a large number of species are shifting with global climate change as they track changing surface temperatures that define their thermal niche. Modelling efforts to predict species distributions under future climates have increased with concern about the overall impact of these distribution shifts on species ecology, and especially where barriers to dispersal exist. Here we apply a bio-climatic envelope modelling technique to investigate the impacts of climate change on the geographic range of ten cetacean species in the eastern North Atlantic and to assess how such modelling can be used to inform conservation and management. The modelling process integrates elements of a species' habitat and thermal niche, and employs "hindcasting" of historical distribution changes in order to verify the accuracy of the modelled relationship between temperature and species range. If this ability is not verified, there is a risk that inappropriate or inaccurate models will be used to make future predictions of species distributions. Of the ten species investigated, we found that while the models for nine could successfully explain current spatial distribution, only four had a good ability to predict distribution changes over time in response to changes in water temperature. Applied to future climate scenarios, the four species-specific models with good predictive abilities indicated range expansion in one species and range contraction in three others, including the potential loss of up to 80% of suitable white-beaked dolphin habitat. Model predictions allow identification of affected areas and the likely time-scales over which impacts will occur. Thus, this work provides important information on both our ability to predict how individual species will respond to future climate change and the applicability of predictive distribution models as a tool to help construct viable conservation and management strategies.
越来越多的证据表明,随着全球气候变化,许多物种的分布正在发生变化,因为它们跟踪变化的地表温度,这些温度决定了它们的热生态位。由于担心这些分布变化对物种生态学的总体影响,尤其是在存在扩散障碍的情况下,人们越来越关注未来气候下预测物种分布的模型。在这里,我们应用生物气候包络模型技术来研究气候变化对东北大西洋 10 种鲸目动物地理分布范围的影响,并评估这种建模方法如何用于为保护和管理提供信息。该模型过程整合了物种栖息地和热生态位的要素,并采用“回溯”历史分布变化,以验证模型中温度与物种分布范围之间关系的准确性。如果这种能力没有得到验证,就有可能使用不合适或不准确的模型来对物种分布进行未来预测。在所研究的 10 个物种中,我们发现,虽然 9 个物种的模型能够成功解释当前的空间分布,但只有 4 个模型能够很好地预测水温变化对物种分布随时间变化的影响。将这些模型应用于未来的气候情景,4 个具有良好预测能力的物种特异性模型表明,1 个物种的分布范围会扩大,另外 3 个物种的分布范围会缩小,包括白吻海豚栖息地可能会损失高达 80%。模型预测可以确定受影响的区域和可能发生影响的时间范围。因此,这项工作不仅提供了有关我们预测单个物种对未来气候变化的反应能力的重要信息,还提供了有关预测分布模型作为一种帮助构建可行保护和管理策略的工具的适用性的重要信息。