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An analysis of the North Rainier Elk Herd area, Washington: Change detection and habitat modeling with remote sensing and GIS.

机译:华盛顿州北雷尼尔麋鹿牧群地区的分析:利用遥感和GIS进行变化检测和栖息地建模。

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摘要

The North Rainier Elk Herd (NREH) is one of ten designated herds in Washington State, all managed by the Washington Department of Fish and Wildlife (WDFW). To aid in the management of the herd, the WDFW has decided to implement a spatial ecosystem analysis. This thesis partially undertakes this analysis through the use of a suite of software tools, the Westside Elk Nutrition and Habitat Use Models (WENHUM). This model analyzes four covariates that have a strong correlation to elk habitat selection: dietary digestible energy (DDE); distance to roads open to the public; mean slope; and distance to cover-forage edge and returns areas of likely elk habitation or use. This thesis includes an update of the base vegetation layer from 2006 data to 2011, a series of clear cuts were identified as areas of change and fed into the WENHUM models. The addition of these clear cuts created improvements in the higher quality DDE levels and when the updated data is compared to the original, predictions of elk use are higher. The presence of open or closed roads was simulated by creating an area of possible closures, selecting candidate roads within that area and then modeling them as either "all open" or "all closed". The simulation of the road closures produced increases in the higher levels of predicted use.
机译:北雷尼尔麋鹿牧群(NREH)是华盛顿州的十个指定牧群之一,全部由华盛顿鱼类和野生动物部(WDFW)管理。为了帮助对畜群进行管理,WDFW决定实施空间生态系统分析。本文通过使用一套软件工具Westside Elk营养和栖息地使用模型(WENHUM)进行了部分分析。该模型分析了与麋鹿栖息地选择密切相关的四个协变量:饮食中的可消化能量(DDE);饮食中的可消化能量(DDE)。距向公众开放的道路的距离;平均斜率到草料边缘的距离,并返回可能栖息或使用的麋鹿区域。本文包括2006年至2011年基础植被层的更新,确定了一系列明确的切入点作为变化区域,并将其输入到WENHUM模型中。这些清晰的切割增加了更高质量的DDE水平,并且将更新的数据与原始数据进行比较时,对麋鹿使用的预测也更高。通过创建可能封闭的区域,选择该区域内的候选道路,然后将其建模为“全部开放”或“全部封闭”,来模拟开放或封闭道路的存在。道路封闭的模拟在较高的预期使用水平上有所增加。

著录项

  • 作者

    Benton, Joshua J.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Agriculture Wildlife Management.;Remote Sensing.;Geodesy.
  • 学位 M.S.
  • 年度 2013
  • 页码 73 p.
  • 总页数 73
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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