Hurlbert Allen H, Jetz Walter
National Center for Ecological Analysis and Synthesis, 735 State Street, Santa Barbara, CA 93101, USA.
Proc Natl Acad Sci U S A. 2007 Aug 14;104(33):13384-9. doi: 10.1073/pnas.0704469104. Epub 2007 Aug 8.
Most studies examining continental-to-global patterns of species richness rely on the overlaying of extent-of-occurrence range maps. Because a species does not occur at all locations within its geographic range, range-map-derived data represent actual distributional patterns only at some relatively coarse and undefined resolution. With the increasing availability of high-resolution climate and land-cover data, broad-scale studies are increasingly likely to estimate richness at high resolutions. Because of the scale dependence of most ecological phenomena, a significant mismatch between the presumed and actual scale of ecological data may arise. This may affect conclusions regarding basic drivers of diversity and may lead to errors in the identification of diversity hotspots. Here, we examine avian range maps of 834 bird species in conjunction with geographically extensive survey data sets on two continents to determine the spatial resolutions at which range-map data actually characterize species occurrences and patterns of species richness. At resolutions less than 2 degrees ( approximately 200 km), range maps overestimate the area of occupancy of individual species and mis-characterize spatial patterns of species richness, resulting in up to two-thirds of biodiversity hotspots being misidentified. The scale dependence of range-map accuracy poses clear limitations on broad-scale ecological analyses and conservation assessments. We suggest that range-map data contain less information than is generally assumed and provide guidance about the appropriate scale of their use.
大多数研究物种丰富度从大陆到全球格局的研究都依赖于出现范围图的叠加。由于一个物种并非在其地理范围内的所有地点都有出现,基于范围图的数据仅在某些相对粗略且不明确的分辨率下代表实际分布模式。随着高分辨率气候和土地覆盖数据的可得性不断提高,大规模研究越来越有可能在高分辨率下估计丰富度。由于大多数生态现象存在尺度依赖性,生态数据的假定尺度与实际尺度之间可能会出现显著不匹配。这可能会影响有关多样性基本驱动因素的结论,并可能导致在识别多样性热点时出现错误。在此,我们结合两大洲地理范围广泛的调查数据集,研究了834种鸟类的范围图,以确定范围图数据实际能够表征物种出现情况和物种丰富度模式的空间分辨率。在分辨率小于2度(约200公里)时,范围图高估了单个物种的占用面积,并错误地描述了物种丰富度的空间模式,导致多达三分之二的生物多样性热点被错误识别。范围图准确性的尺度依赖性对大规模生态分析和保护评估构成了明显限制。我们认为,范围图数据包含的信息比通常认为的要少,并提供了关于其使用适当尺度的指导。