Ab'/> Modelling potential wildlife-vehicle collisions (WVC) locations using environmental factors and human population density: A case-study from 3 state highways in Central California
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Modelling potential wildlife-vehicle collisions (WVC) locations using environmental factors and human population density: A case-study from 3 state highways in Central California

机译:利用环境因素和人口密度建模潜在的野生动物 - 车辆碰撞(WVC)位置:加利福尼亚中部3国立高速公路的案例研究

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AbstractRoads can exert direct and indirect impacts on ecosystems and organisms. In particular, wildlife-vehicle collisions (WVC) may be a considerable threat for populations of certain wildlife species. Despite such threat, there is still incomplete understanding of the factors responsible for high road mortality. Only a few empirical studies have tested the idea that spatial variation of roadkill is affected by environmental characteristics and socio-demographic factors. This study examines the relationships between WVC involving different taxonomic groups (i.e. ungulate, avian, medium mammal, small mammal) and physical and human population characteristics of landscapes by adapting the ecological model, Maxent, to distribution modelling of carcasses resulting from WVC. We used observations from the California Roadkill Observation System of four taxonomic groups recorded along highways in northern California. Our results indicated that current carcass-observation locations were explained primarily by total forest area (cells) within 500m buffer and road density within a 500m neighborhood. Our results found that current carcass-observation locations are modelled well using environmental variables and human population density together. Moreover, a comparison of projected potential roadkill locations based on environmental factors and human population density among different taxonomic groups revealed substantially different distributions. These results indicate potential areas where wildlife populations are at increased risk of coming into contact with traffic and the potential utility of this methodology for modelling current and future distributions of wildlife across landscap
机译:<![cdata [ 抽象 道路可以对生态系统和生物产生直接和间接影响。特别是,野生动物车辆碰撞(WVC)对于某些野生动物种群的群体可能是相当大的威胁。尽管存在这种威胁,但对负责高道路死亡率的因素仍然不完全了解。只有少数实证研究已经测试了跑道空间变化的想法,受环境特征和社会人口因子的影响。本研究探讨了WVC涉及不同分类群的WVC之间的关系(即,通过造型的生态学模型,MaxEnt造型通过调整生态模型来对景观的景观的物理和人口特征。我们使用了来自北加州北部高速公路的四个分类学团体的加利福尼亚州路基观测系统的观察。我们的结果表明,目前的胴体观察位置主要由500M缓冲区和500M社区内的公路密度内的总林区域(细胞)解释。我们的结果发现,使用环境变量和人口密度在一起模拟了当前的胴体观察位置。此外,基于环境因素和不同分类学基团的人口密度的预计潜在路基位置的比较显示出大大不同的分布。这些结果表明了野生动物种群的潜在地区,这些领域是与交通接触的风险以及这种方法的潜在效用,以模拟跨地式野生动物的野生动物的当前和未来分布

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