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Fine-scale habitat selection and space use by mountain goats (Oreamnos americanus): The Brownian bridge synoptic.

机译:美洲山羊(Oreamnos americanus)的精细栖息地选择和空间利用:布朗桥概要。

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摘要

Current application of GPS telemetry in wildlife studies highlights the need for analytical methods to meet theoretical concerns during analysis of resource selection. I devised a new analysis technique for estimation of resource selection, the Brownian bridge synoptic model. Availability is based on the variance term from the existing Brownian bridge model, and maximum likelihood is used to estimate resource selection based on the existing synoptic model. The analysis separates the observed GPS data into triplets of observation and estimates probability of use at every other GPS location thereby. To test the model, I analyzed GPS data collected from free-ranging mountain goats Oreamnos americanus in the Cascade Mountains, Washington, where patterns of habitat selection were relatively unknown. I also conducted field reconnaissance and identified 8 vegetation communities across mountain goat home ranges: montane forest, subalpine forest, heather, huckleberry, east-side shrub, sparse meadow, dense meadow and talus. I linked the results of the field work to three LandSat 5TM scenes to create a map of vegetation communities. I used the vegetation map with the Brownian bridge synoptic model to evaluate patterns of habitat selection by mountain goats during late spring through early summer in response to the presence of potential forage items. Additionally, I used the Brownian bridge synoptic model, ordinary logistic regression, and the synoptic model to test patterns of habitat selection by mountain goats in response to backcountry trails. I used an information theoretic approach and compared the results of model selection at multiple scales approximating third and fourth orders of selection. I estimated habitat selection for individual animals and developed overall and sex specific population averages. Results showed topography as the primary determinant of selection by mountain goats with male mountain goats using steeper areas further from both escape terrain and trails than females. I found little evidence to suggest habitat selection by mountain goats was influenced by vegetation. Finally, I used the Brownian bridge synoptic model to address a management question concerning translocations and produced a resource selection function to evaluate potential release sites.
机译:GPS遥测技术在野生动植物研究中的当前应用突显了对分析方法的需求,以满足在资源选择分析中的理论关注。我设计了一种用于估算资源选择的新分析技术,即布朗桥概要模型。可用性基于现有布朗桥模型的方差项,并且最大似然用于基于现有概要模型估计资源选择。该分析将观测到的GPS数据分成三重观测,并由此估计在每个其他GPS位置的使用概率。为了测试该模型,我分析了从华盛顿喀斯喀特山脉的自由放养的野山羊Oreamnos americanus收集的GPS数据,那里的栖息地选择模式相对未知。我还进行了野外勘测,并确定了整个山羊居所范围内的8个植被群落:山地森林,亚高山森林,石南花,哈克贝利,东侧灌木,稀疏的草地,茂密的草地和距骨。我将田野调查的结果与三个LandSat 5TM场景相关联,以创建植被群落地图。我使用植被图和布朗桥天气模型来评估春末至初夏期间山山羊对栖息地选择的模式,以应对潜在草料的存在。此外,我使用了布朗桥天气模型,普通逻辑回归和天气模型来测试野山羊根据偏远地区的足迹选择栖息地的模式。我使用了一种信息理论方法,并在近似于选择的第三和第四阶的多个尺度上比较了模型选择的结果。我估算了单个动物的栖息地选择,并得出了总体和性别特定的种群平均值。结果表明,地形是山山羊选择雄性山羊的主要决定因素,雄性山羊使用的逃生地形和足迹都比雌性更陡峭。我发现几乎没有证据表明高山山羊的栖息地选择受植被影响。最后,我使用布朗桥概要模型解决了有关易位的管理问题,并产生了资源选择功能来评估潜在的释放位点。

著录项

  • 作者

    Wells, Adam G.;

  • 作者单位

    University of Idaho.;

  • 授予单位 University of Idaho.;
  • 学科 Agriculture Wildlife Conservation.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:37

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