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首页> 外文期刊>Ecological research >A predictive spatial model for gray wolf [Cam's lupus] denning sites in a human-dominated landscape in western Iran
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A predictive spatial model for gray wolf [Cam's lupus] denning sites in a human-dominated landscape in western Iran

机译：伊朗西部以人为主导的景观中灰太狼[Cam's lupus]栖息地的预测性空间模型

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摘要

Predictive models of species denning habitat are useful for understanding distribution of core use areas and identifying areas with potential conflicts. Wolf den site selection in unmanaged areas with dominance of agriculture-lands and human disturbance is not completely understood. We used a GIS multivariate model based on the Mahalanobis distance statistic and 11 digital habitat layers to evaluate gray wolf denning site suitability in Hamedan province (HP), western Iran. Results showed that > 74 % of dens occurred in potential denning sites that occupied 14 % (2,785 km~2) of the study area. Based on sensitivity analysis with ROC, we found that the distance to rangelands, elevation, and distance to roads, human settlements and streams were the most predictive variables. Our potential distribution model of wolf den sites showed a very good overall performance according to classification accuracy and discrimination capacity. Denning in elevated rugged terrains adjacent to rangelands and away from roads and villages revealed that wolf den distribution in HP is highly influenced primarily by factors associated with human disturbance. The derived predicted distribution map can be used to prioritize areas for conservation, identify areas with potential conflicts, and to implement adaptive management in regions beyond wilderness and protected areas.
机译：物种栖息地预测模型对于了解核心用途区域的分布和确定潜在冲突区域很有用。尚未完全了解在以农业土地为主和人为干扰的非管理区域内进行狼穴选址。我们使用基于马哈拉诺比斯距离统计和11个数字栖息地层的GIS多元模型来评估伊朗西部哈米丹省（HP）的灰太狼栖息地适宜性。结果表明，在占研究面积14％（2,785 km〜2）的潜在牙本质部位中，> 74％的牙本质发生。基于ROC的敏感性分析，我们发现距牧场的距离，海拔和距道路，人类住区和河流的距离是最可预测的变量。根据分类准确性和区分能力，我们的狼窝遗址的潜在分布模型显示出非常好的整体性能。在临近牧场，远离道路和村庄的高高崎terrain地形中进行的调查显示，HP中的狼窝分布主要受到与人为干扰相关的因素的影响。导出的预测分布图可用于对保护区进行优先排序，确定有潜在冲突的区域，并在荒野和保护区以外的地区实施适应性管理。

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  • 来源
    《Ecological research》 |2013年第3期|513-521|共9页
  • 作者

    Mohsen Ahmadi; Mohammad Kaboli; Elham Nourani; Afshin Alizadeh Shabani; Sohrab Ashrafi;

  • 作者单位

    Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran;

    Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran;

    Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran;

    Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran;

    Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Gray wolf; Den site selection; Mahalanobis distance model; Hamedan province; Iran;

    机译：灰狼;巢穴选择;马氏距离模型;哈米丹省;伊朗;

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