The Role of Landscape in the Distribution of Deer-Vehicle Collisions in South Mississippi.

Deer-vehicle collisions (DVCs) have a negative impact on the economy, traffic safety, and the general well-being of otherwise healthy deer. To mitigate DVCs, it is imperative to gain a better understanding of factors that play a role in their spatial distribution. Much of the existing research on DV...

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Publicado en:Southeastern Geographer Vol. 52; no. 3; pp. 327 - 341
Autores principales: MCKEE, JACOB J., COCHRAN, DAVID M.
Formato: Artículo
Publicado: University of North Carolina Press Fall2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          MCKEE, JACOB J.
          COCHRAN, DAVID M.
        affil:
          The University of Southern Mississippi
          Associate Professor, Geography, Department of Geography
      su:
        Mississippi
        United States
        Deer
        Vehicles
        Landscapes
      sug:
        subj:
          Mississippi
          United States
          All Other Animal Production
          All other miscellaneous animal production
          Deer
          Vehicles
          Landscapes
      keyword:
        Deer-vehicle collisions (DVCs)
        GIS
        landscape
        mitigation
        white-tailed deer
        ciervos de cola blanca
        colisiones entre vehículos y ciervos (DVCS)
        mitigación
        paisaje
        SIG
        Deer-vehicle collisions (DVCs)
        GIS
        landscape
        mitigation
        white-tailed deer
        ciervos de cola blanca
        colisiones entre vehículos y ciervos (DVCS)
        mitigación
        paisaje
        SIG
      ab: Deer-vehicle collisions (DVCs) have a negative impact on the economy, traffic safety, and the general well-being of otherwise healthy deer. To mitigate DVCs, it is imperative to gain a better understanding of factors that play a role in their spatial distribution. Much of the existing research on DVCs in the United States has been inconclusive, pointing to a variety of causal factors that seem more specific to study site and region than indicative of broad patterns. Little DVC research has been conducted in the southern United States, making the region particularly important with regard to this issue. In this study, we evaluate landscape factors that contributed to the distribution of 347 DVCs that occurred in Forrest and Lamar Counties of south Mississippi, from 2006 to 2009. Using nearest- neighbor and discriminant analysis, we demonstrate that DVCs in south Mississippi are not random spatial phenomena. We also develop a classification model that identified seven landscape metrics, explained 100 percent of the variance, and could distinguish DVCs from control sites with an accuracy of 81.3 percent.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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