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Habitat suitability modeling of amphibian species in southern and central China: environmental correlates and potential richness mapping

机译:中国南部和中部两栖动物的栖息地适宜性建模:环境相关性和潜在丰富度图

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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.
机译:成功的野生动植物管理必须考虑到合适的栖息地。因此,有关分布范围和环境条件之间相关性的信息将提高野生动植物就地保护的功效。在此贡献中,研究了中国南部和中部环境因素与51种两栖动物分布之间的相关性。在1°纬度×1°经度的空间分辨率上的生态位生态因子分析(ENFA)确定了气候和栖息地因子的混合体是单个物种发生的重要预测因子。当前工作的目的是(i)根据区域的适宜性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)确定在现有库存中被忽略的潜在高富裕区域。大多数预测物种范围涵盖了华南和中部的大部分地区。预测了六个热点地区,其中四个以前已经描述过,但是两个被忽略了(东南福建和东南青海)。该预测模型被认为是相对准确的,因此建议对这两个新的潜在热点进行进一步的评估和抽样工作。两栖动物对高湿度和高降水量以及每年的霜冻天数偏低具有高度的生态偏好。 ENFA是野生动植物保护评估的有用工具,因为它能够识别潜在的热点,可以集中研究环境描述因素与特定物种的发生之间的相关性。

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