Current land use is a poor predictor of hellbender occurrence: why assumptions matter when predicting distributions of data‐deficient species
Current land use is a poor predictor of hellbender occurrence: why assumptions matter when predicting distributions of data‐deficient species
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当前的土地利用并不能很好地预测地狱怪的发生：为什么假设在预测数据缺乏的物种分布时很重要
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
W. Hopkins
中科院分区：
文献类型：
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作者：
Catherine M. Bodinof Jachowski;J. Millspaugh;W. Hopkins
了解物种分布是有效保护规划的基础。数据不足是常见的稀有和濒危物种，并提出了保护规划的挑战，因为状态评估变得依赖于缺乏数据，可以引入偏见。我们使用占用模型来评估对普遍接受但以前未经检验的假设的支持，这些假设是关于驱动危险和数据不足的两栖动物东部hellbender（Cryptobranchus alleganiensis）发生的因素。我们调查了可能被确定为具有高度保护优先级的地区之间不匹配的可能性，这是基于一个共同的假设，即hellbender的发生对应于高森林覆盖率的地区和那些被充分知情的模型确定的地区。
Understanding species distributions is fundamental to effective conservation planning. Data deficiency is common among rare and imperiled species and poses challenges for conservation planning because status assessments become reliant on scant data that can introduce bias. We used occupancy modelling to evaluate support for commonly accepted, but previously untested, hypotheses regarding factors that drive the occurrence of an imperiled and data‐deficient amphibian, the eastern hellbender (Cryptobranchus alleganiensis). We investigated the potential for mismatch between areas likely to be identified as having high conservation priority based on the common assumption that hellbender occurrence corresponds to areas of high forest cover and those identified by well‐informed models.