Department of Zoology, University of British Columbia, Vancouver V6T 1Z4, Canada.
Sci China Life Sci. 2013 May;56(5):476-84. doi: 10.1007/s11427-013-4475-3. Epub 2013 May 1.
Successful wildlife management must take into account suitable habitat areas. Information on the correlation between distribution ranges and environmental conditions would, therefore, improve the efficacy of in-situ conservation of wildlife. In this contribution, correlations between environmental factors and the distribution of 51 amphibians in southern and central China were investigated. Ecological niche factor analysis (ENFA) at a spatial resolution of 1° latitude×1° longitude identified a mixture of climatic and habitat factors as important predictors of the occurrence of individual species. The aims of the present work were (i) to evaluate potential distributions of amphibians based on the suitability of areas; (ii) to identify the major environmental descriptors upon which they depend; and (iii) to identify areas of potential high richness that have been overlooked in available inventories. Most of the predicted species ranges of species covered the majority of southern and central China. Six richness hotspots were predicted, of which four have been described previously, but two overlooked (SE Fujian and SE Qinghai). The prediction model was considered to be relatively accurate and it is recommended that these two new potential hotspots should be subjected to further evaluation and sampling efforts. Amphibians have high ecological preference for high humidity and precipitation, and low annual frost days. ENFA is a useful tool in wildlife conservation assessment because it is able to identify potential hotspots where studies on the correlations between environmental descriptors and the occurrence of particular species could be focused.
成功的野生动物管理必须考虑到适宜的栖息地面积。因此,关于分布范围与环境条件之间相关性的信息将提高野生动物就地保护的效果。在本研究中,调查了中国南部和中部的 51 种两栖动物的分布与环境因素之间的相关性。在 1°纬度×1°经度的空间分辨率下进行生态位因子分析(ENFA),确定了气候和生境因素的混合物是个别物种出现的重要预测因子。本研究的目的是:(i)根据适宜性区域评估两栖动物的潜在分布;(ii)确定它们所依赖的主要环境描述符;(iii)确定在现有清单中被忽视的潜在高丰富度区域。预测的大多数物种分布范围涵盖了中国南部和中部的大部分地区。预测了六个 richness 热点,其中四个以前已经描述过,但有两个被忽视(东南福建和东南青海)。预测模型被认为是相对准确的,建议对这两个新的潜在热点进行进一步评估和采样工作。两栖动物对高湿度和降水以及低年霜日具有较高的生态偏好。ENFA 是野生动物保护评估的有用工具,因为它能够识别出潜在的热点,在这些热点中可以集中研究环境描述符与特定物种出现之间的相关性。