首页> 外文期刊>Biological Conservation >Estimating habitat suitability and potential population size for brown bears in the Eastern Alps.
【24h】

Estimating habitat suitability and potential population size for brown bears in the Eastern Alps.

机译:估计东部阿尔卑斯山棕熊的栖息地适宜性和潜在种群规模。

获取原文
获取原文并翻译 | 示例
       

摘要

According to the Habitats Directive of the European Union, a favorable conservation status for the brown bear (Ursus arctos) should be targeted at the population level in large contiguous habitats such as the Alps, the largest mountain range in Europe. However, in most of the Alps brown bears are extinct and habitat suitability in these areas is often questionable. For this paper, radio-tracking data from four projects with 42 individual bears was compiled to assess habitat suitability. Discrete-choice models with random bear effects were fitted and compared to results obtained from compositional analysis and logistic regression. Sound definition of the available area in the discrete-choice model turned out to be essential. Brown bears showed a preference for forested and steep habitats and an avoidance of roads. Results from the three approaches were used to predict habitat suitability across the entire range of the Eastern Alps. Minimum potential population size was projected based on observed densities in Trentino and Central Austria, and ranged from 1228 to 1625 individuals, with 518-686 mature bears. This would satisfy a favorable conservation status. The developed methodology also has wide applicability to quantification of habitat suitability and potential population size in other cases where species are at risk.
机译:根据欧洲联盟的《人居指令》,棕熊( us arctos )的良好保护状况应针对大型连续生境(如阿尔卑斯山)中人口最多的山区,阿尔卑斯山是该地区最大的山脉。欧洲。但是,在大多数阿尔卑斯山,棕熊已经灭绝,这些地区的生境适应性常常令人质疑。在本文中,汇编了来自四个有42只熊的项目的无线电跟踪数据,以评估栖息地的适宜性。拟合具有随机熊效应的离散选择模型,并将其与成分分析和逻辑回归得到的结果进行比较。离散选择模型中可用区域的声音定义非常重要。棕熊表现出对森林茂密和陡峭栖息地的偏爱,并避免使用道路。这三种方法的结果被用来预测整个东阿尔卑斯山脉的栖息地适宜性。根据在特伦蒂诺和奥地利中部的观测密度,预计了最小的潜在种群数量,范围从1228到1625个人,有518-686头成熟的熊。这将满足良好的保护状态。所开发的方法还具有广泛的适用性,可以在其他物种面临危险的情况下量化栖息地的适宜性和潜在的种群规模。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号