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Development of landscape-scale models to describe habitat potential of white-tailed deer (Odocoileus virginianus) in Michigan.

机译:开发景观尺度模型来描述密歇根州白尾鹿(Odocoileus virginianus)的栖息地潜力。

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摘要

The Michigan Department of Natural Resources has addressed a need to re-evaluate Michigan's deer population goals with a consideration of how the range of biotic and abiotic factors within landscapes influence deer habitat selection and subsequently affects populations. This study was initiated to contribute to the understanding of the relationship between white-tailed deer populations and their habitat based on the ecological potential of habitat types and how they can be managed in Michigan. Habitat types were defined in 3 areas of Michigan using digital vegetation and soil databases, empirical vegetation attribute data, and ecological classification systems. Compositional, structural, and geological information were identified for each habitat type and stored in a database. Three deer habitat requirements were identified from literature and a habitat classification key was developed, which identifies habitat suitability values associated with a range of habitat conditions within landscapes. Landscape-scale models were constructed that quantify habitat suitability for each seral stage within habitat types. The highest suitability that a habitat type could attain is indicative of habitat potential (i.e., the capability of an area being or becoming habitat based on biological and geological characteristics). The spatial distribution of habitat potential can be projected in a GIS and combined with deer demographic data to establish realistic deer management goals based on the ecological potential of landscapes and population patterns.
机译:密歇根州自然资源部已解决了重新评估密歇根州鹿种群目标的需求,其中考虑了景观中生物和非生物因素的范围如何影响鹿的栖息地选择并进而影响种群。这项研究旨在根据栖息地类型的生态潜力及其在密歇根州的管理方式,有助于加深对白尾鹿种群及其栖息地之间关系的理解。利用数字植被和土壤数据库,经验植被属性数据和生态分类系统,在密歇根州的3个地区定义了栖息地类型。确定每种栖息地类型的成分,结构和地质信息,并将其存储在数据库中。从文献中确定了三个鹿的栖息地要求,并开发了一个栖息地分类关键字,该关键字确定了与景观中一系列栖息地条件相关的栖息地适宜性值。构建了景观尺度模型,以量化栖息地类型中每个serial阶段的栖息地适宜性。栖息地类型可以达到的最高适应性表明了栖息地的潜力(即,根据生物学和地质特征,某个区域成为或即将成为栖息地的能力)。可以在GIS中投影栖息地潜力的空间分布,并与鹿的人口统计数据相结合,以基于景观的生态潜力和人口格局来建立现实的鹿管理目标。

著录项

  • 作者

    Felix, Alexandra B.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Biology Ecology.; Agriculture Forestry and Wildlife.
  • 学位 M.S.
  • 年度 2003
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生态学(生物生态学);森林生物学;
  • 关键词

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