...
首页> 外文期刊>Ecological indicators >Species' traits as predictors of avoidance towards roads and traffic
【24h】

Species' traits as predictors of avoidance towards roads and traffic

机译:物种作为道路和交通避税预测因素

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Road-networks and their associated motorized traffic pose a threat to biodiversity and ecosystems, with different groups of species exhibiting different avoidance responses. The often species-specific nature of these behavioural responses to roads and traffic suggest that morphological, ecological, life-history and behavioural traits could be useful in explaining and predicting these responses. Trait-based predictive models have been used to assess extinction risk, land use impacts, and road mortality. Here we present the first, to our knowledge, test of their potential to address animal road avoidance. We studied the fleeing responses and spatial distribution in relation to roads of diverse ungulate species across three South African protected areas. Our results show that smaller, solitary species with non-grazing food habits are more likely to flee in response to presence of a vehicle. None of the tested traits showed a clear relationship based on biological hypotheses with initial distance to roads and tolerance distance to vehicles (used to describe behavioural avoidance towards roads and vehicles, respectively). However, we found significant effects that supported proposed methodological hypotheses. Our results show the potential to use traits as indicators of vehicle and traffic avoidance. Obtaining behavioural avoidance data in the field for many species and areas can be time consuming, but here we show it may be possible to use available trait data to generally predict species responses. This could be useful for initial species risk assessments.
机译:道路网络及其相关机动交通对生物多样性和生态系统构成了威胁,具有不同的种类,具有不同的避免反应。这些行为对道路和交通的这种行为反应的特殊性特异性表明,形态学,生态,生命历史和行为性状可用于解释和预测这些反应。基于特质的预测模型已被用于评估灭绝风险,土地利用影响和道路死亡率。在这里,我们首先介绍了我们的知识,对他们解决动物道路避免的潜力的测试。我们研究了与三个南非保护区的不同牵引物种道路的逃离响应和空间分布。我们的结果表明,较小的孤独物种具有非放牧饮食习惯更有可能逃离车辆的存在。没有一个测试的特征基于与道路和公差距离的生物假设,与车辆的公差距离(用于分别描述对道路和车辆的行为避免)的初始距离。然而,我们发现支持提出的方法的假设的显着效果。我们的结果表明,使用特征作为车辆和交通避免的指标。获取许多物种和区域的字段中的行为避免数据可能是耗时的,但是在这里我们示出了可以使用可用的特征数据来预测物种响应。这对初始物种风险评估有用。

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