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Determining threatened species distributions in the face of limited data: Spatial conservation prioritization for the Chinese giant salamander (Andrias davidianus)

机译:面对有限的数据确定受威胁物种的分布:中国巨型sal(Andrias davidianus)的空间保护优先级

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摘要

The purpose of this study was to determine whether limited occurrence data for highly threatened species can provide useful spatial information to inform conservation. The study was conducted across central and southern China. We developed a habitat suitability model for the Critically Endangered Chinese giant salamander (Andrias davidianus) based on one biotic and three abiotic parameters from single‐site locality records, which represent the only relevant environmental data available for this species. We then validated model quality by testing whether increased percentage of predicted suitable habitat at the county level correlated with independent data on giant salamander presence. We randomly selected 48 counties containing historical records which were distinct from, and independent of, the single‐site records used to develop the model, and 47 additional counties containing >50% predicted suitable habitat. We interviewed 2,812 respondents near potential giant salamander habitat across these counties and tested for differences in respondent giant salamander reports between counties selected using each method. Our model predicts that suitable giant salamander habitat is found widely across central and southern China, with counties containing ≥50% predicted suitable habitat distributed in 13 provinces. Counties with historical records contain significantly more predicted suitable habitat than counties without historical records. There are no statistical differences in any patterns of respondent giant salamander reports in surveyed counties selected from our model compared with the areas of known historical giant salamander distribution. A Chinese giant salamander habitat suitability model with strong predictive power can be derived from the restricted range of environmental variables associated with limited available presence‐only occurrence records, constituting a cost‐effective strategy to guide spatial allocation of conservation planning. Few reported sightings were recent, however, with most being over 20 years old, so that identification of areas of suitable habitat does not necessarily indicate continued survival of the species at these locations.
机译:这项研究的目的是确定高度受威胁物种的有限发生数据是否可以提供有用的空间信息来保护自然资源。该研究在中国中部和南部进行。我们基于单地点记录中的一种生物和三种非生物参数,为极度濒临灭绝的中国巨型sal(Andrias davidianus)开发了栖息地适宜性模型,这是该物种唯一可用的相关环境数据。然后,我们通过测试县级预测合适栖息地的增加百分比是否与巨型sal存在的独立数据相关来验证模型质量。我们随机选择了48个县,这些县的历史记录与开发模型所用的单点记录不同,并且与之无关,另外47个县的预测适宜生境也超过50%。我们采访了这些县附近潜在巨型sal栖息地附近的2,812名受访者,并测试了使用每种方法选择的县之间在受访巨型sal报告中的差异。我们的模型预测,在中国中部和南部广泛发现了合适的巨型sal栖息地,其中≥50%的县预测在13个省中分布了合适的栖息地。有历史记录的县比没有历史记录的县拥有更多的预计合适生境。与已知的历史巨型sal分布区域相比,在从我们的模型中选择的被调查县中,在任何形式的回应巨型reports报告中都没有统计差异。可以从有限的仅存在事件发生记录相关的环境变量范围中得出具有强大预测能力的中国巨型Chinese栖息地适宜性模型,从而构成了指导保护规划空间分配的经济有效策略。然而,据报道最近很少见到目击者,大多数都超过20岁,因此确定合适栖息地的区域并不一定表明该物种在这些位置的持续生存。

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