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首页> 外文OA文献 >Identifying priority conservation areas for the American burying beetle, \u3ci\u3eNicrophorus americanus\u3c/i\u3e (Coleoptera: Silphidae), a habitat generalist
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Identifying priority conservation areas for the American burying beetle, \u3ci\u3eNicrophorus americanus\u3c/i\u3e (Coleoptera: Silphidae), a habitat generalist

机译：确定美国埋葬甲虫的优先保护区，\ u3ci \ u3eNicrophorus americanus \ u3c / i \ u3e（鞘翅目：silphidae），栖息地通才

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摘要

Conservation efforts leading to the recovery of the federally endangered American burying beetle (ABB), Nicrophorus americanus Olivier, have been challenging because of the unknown causes of its decline, difficulty in establishing habitat requirements, and unclear population distribution across the species’ range. Extant populations of this widespread generalist species occur in broadly separated regions of North America with varying habitat characteristics. A habitat suitability model for ABB in the Nebraska Sandhills was developed over the course of 3 years resulting in a final cross-validated spatial model. The succession of models from 2009 to 2011 indicated that most of the predictive variables stayed constant, but biased sampling and extrapolation areas affected classifier values differently. Variables associated with ABB occurrence were loamy sand, wetland and precipitation. Five variables, loam soil, agriculture, woodland, the average maximum temperature, and urban development, were associated with ABB absence. The 2011 cross-validated model produced an AUC value of 0.82 and provided areas designated as highly likely to support ABBs. By limiting the model extent to the Sandhills ecoregion and using threshold-dependent classifiers, the final habitat suitability model could be an important resource for wildlife managers engaged in the recovery of this habitat generalist.
机译：导致受联邦威胁濒临灭绝的美洲甲虫（Nicrophorus americanus Olivier）的恢复的保护工作一直具有挑战性，因为其下降原因不明，难以确定栖息地，而且整个物种范围内的种群分布也不明确。这种广泛的通配物种的现存种群发生在北美地区，其生境特征各不相同。内布拉斯加州沙丘丘陵地区ABB的栖息地适宜性模型历时3年，开发了最终交叉验证的空间模型。从2009年到2011年的一系列模型表明，大多数预测变量保持不变，但有偏见的抽样和外推面积对分类器值的影响不同。与ABB发生有关的变量是壤土，湿地和降水。壤土，农业，林地，平均最高温度和城市发展这五个变量与ABB缺失有关。 2011年的交叉验证模型得出的AUC值为0.82，并提供了被指定为极有可能支持ABB的区域。通过将模型范围限制在Sandhills生态区并使用基于阈值的分类器，最终的栖息地适宜性模型可能是从事恢复该栖息地通才的野生动植物管理者的重要资源。

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