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Classifying bottomland hardwoods to map and identify forest stand types for wildlife management planning on Ward Bayou Wildlife Management Area.

机译:对沃德·巴尤野生动物管理区的野生动植物管理计划进行分类,对底层硬木进行分类,以绘制地图并确定林分类型。

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摘要

This research project was designed to describe a practical classification system for wildlife management planning in bottomland hardwood communities. A bottomland hardwood classification system was developed and implemented on Ward Bayou Wildlife Management Area, MS to map and identify forest stands. The variables chosen are commonly considered in evaluating suitability of wildlife habitat. Cover type, species association, main canopy size class, vertical stratification and presence or absence of epistrata and residuals were identified as primary habitat variables to delineate and classify forest stands. Auxiliary variables also were identified to describe other important habitat variables associated within stands, including canopy coverage, topographic position, ground flora, woody debris, snags, and river cane. A geographic information system (GIS) was developed to generate maps. Corrected stand delineations were digitized and geo-referenced to corresponding classification data. The GIS database also was used to produce tables summarizing variables and combinations of variables, and to map stands by variable classes and stand type. Classified variables and derived maps to aid in management for the project area are summarized.
机译:该研究项目旨在描述一种实用的分类系统,用于底层硬木社区的野生动植物管理规划。在密苏里州沃德·巴尤野生动物管理区开发并实施了底层硬木分类系统,以绘制和识别林分。在评估野生动植物栖息地的适宜性时,通常会考虑选择的变量。覆盖类型,物种关联,主要冠层大小类别,垂直分层以及是否存在地层和残留物被确定为主要生境变量,用于划定和分类林分。还确定了辅助变量,以描述与林分相关的其他重要栖息地变量,包括林冠覆盖,地形位置,地面植物,木屑,断枝和河藤。开发了地理信息系统(GIS)来生成地图。校正后的展台轮廓被数字化并地理参考相应的分类数据。 GIS数据库还用于生成汇总变量和变量组合的表格,并按变量类别和机架类型映射机架。归纳了分类变量和派生地图,以帮助管理项目区域。

著录项

  • 作者

    Hendricks, Bryan Keith.;

  • 作者单位

    Mississippi State University.;

  • 授予单位 Mississippi State University.;
  • 学科 Biology Ecology.;Agriculture Forestry and Wildlife.;Physical Geography.
  • 学位 M.S.
  • 年度 1998
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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