Whitehead Hal, McGill Brian, Worm Boris
Department of Biology, Dalhousie University, 1355 Oxford St, Halifax, NS, Canada B3H 4J1.
Ecol Lett. 2008 Nov;11(11):1198-1207. doi: 10.1111/j.1461-0248.2008.01234.x. Epub 2008 Sep 11.
Understanding the effects of natural environmental variation on biodiversity can help predict response to future anthropogenic change. Here we analyse a large, long-term data set of sightings of deep-water cetaceans from the Atlantic, Pacific and Indian Oceans. Seasonal and geographic changes in the diversity of these genera are well predicted by a convex function of sea-surface temperature peaking at c. 21 degrees C. Thus, diversity is highest at intermediate latitudes - an emerging general pattern for the pelagic ocean. When applied to a range of Intergovernmental Panel on Climate Change global change scenarios, the predicted response is a decline of cetacean diversity across the tropics and increases at higher latitudes. This suggests that deep-water oceanic communities that dominate > 60% of the planet's surface may reorganize in response to ocean warming, with low-latitude losses of diversity and resilience.
了解自然环境变化对生物多样性的影响有助于预测对未来人为变化的反应。在此,我们分析了来自大西洋、太平洋和印度洋的深水鲸类动物目击情况的大型长期数据集。这些属的多样性的季节性和地理变化可以通过在约21摄氏度达到峰值的海面温度的凸函数得到很好的预测。因此,多样性在中纬度地区最高——这是远洋海洋中一种新出现的普遍模式。当应用于一系列政府间气候变化专门委员会的全球变化情景时,预测的反应是热带地区鲸类动物多样性下降,高纬度地区增加。这表明,占地球表面60%以上的深水海洋群落可能会因海洋变暖而重新组织,导致低纬度地区多样性和恢复力丧失。