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首页> 外文学位 >A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8
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A Habitat Suitability Model for Ruffed Grouse (Bonasa umbellus) in New York State Department of Environmental Conservation Region 8

机译：纽约州环境保护部的皱纹松鸡（Bonasa umbellus）栖息地适宜性模型8

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摘要

Shrubland, young forest, and other types of early successional habitats have historically declined due to a lack in anthropogenic and natural disturbances. This decline in disturbance-dependent habitats has impacted the populations of a variety of species, with some of conservation concern, such as the Ruffed Grouse (Bonasa umbellus). Using an iteration-reduction method for this project, a Habitat Suitability Model was created in ArcGIS Pro to assess NYSDEC Region 8 for potential habitat, and to assist with determining where the potential habitat was located within the area of interest. These potential habitat areas were ranked from "POOR" to "PRIME" based on literature-derived habitat parameters such as the presence of: 1) significant shrubland habitat, 2) significant urban areas, 3) a significant water source, and 4) significant coniferous forest. The model identified 11,047 potential sites distributed as "PRIME" (3550), "GOOD" (3543), "FAIR" (1462), and "POOR" (2492). eBird data used for verification had 585 eBird sightings that "hit", or intersected with the model results, with 458 (78%) within "PRIME" sites, 50 (9%) within "GOOD" sites, 46 (8%) within "FAIR" sites, and 31 (5%) within "POOR" sites. Sensitivity tests based on a maximum literature-derived home range were able to capture an additional 153 eBird sightings of the 467 eBird sightings that missed the model entirely, which increased the model sighting accuracy from 56% (585 eBird sighting hits) to 70% (738 eBird sighting hits). Although several factors associated with the verification data, National Land Cover Database (2011), and model constraints may be reducing the overall accuracy of the model, the results suggest that the model accurately identified "PRIME" habitat, but a majority of this habitat is on private land. Conservation efforts will need to focus on recruiting private landowners into managing shrubland, as well as to continue managing publicly owned lands, as part of the conservation strategy for the Ruffed Grouse.
机译：由于缺乏人为和自然干扰，灌木丛，年轻的森林和其他类型的早期演替生境在历史上一直在减少。受干扰影响的栖息地的减少影响了许多物种的种群，并引起了一些保护方面的关注，例如罗夫松松鸡（Bonasa umbellus）。使用该项目的迭代减少方法，在ArcGIS Pro中创建了栖息地适应性模型，以评估NYSDEC 8区的潜在栖息地，并帮助确定潜在栖息地在感兴趣区域内的位置。根据文献得出的栖息地参数，将这些潜在的栖息地区域从“不良”分类为“优先”，例如：1）灌木丛生境，2）重要市区，3）重要水源，4）重要针叶林。该模型确定了11,047个潜在站点，这些站点分布为“ PRIME”（3550），“ GOOD”（3543），“ FAIR”（1462）和“ POOR”（2492）。用于验证的eBird数据有585个eBird目击点，它们“击中”或与模型结果相交，其中“ PRIME”站点中有458（78％），在“ GOOD”站点中有50（9％），在46“（8％）之内“一般”网站，在“不良”网站中占31（5％）。基于最大文献衍生范围的灵敏度测试能够捕获467个eBird瞄准具中的另外153个eBird瞄准具，这些瞄准具完全错过了模型，从而将模型的瞄准精度从56％（585个eBird瞄准器命中率）提高到70％（ 738个eBird命中率）。尽管与验证数据，美国国家土地覆被数据库（2011）和模型约束相关的若干因素可能会降低模型的整体准确性，但结果表明该模型能够准确识别“ PRIME”栖息地，但其中大部分是在私人土地上。保护工作将需要集中于招募私人土地所有者来管理灌木丛，以及继续管理公有土地，这是鲁夫松鸡保护策略的一部分。

著录项

  • 作者

    Groff, Austin.;

  • 作者单位

    Rochester Institute of Technology.;

  • 授予单位 Rochester Institute of Technology.;
  • 学科 Environmental science.
  • 学位 M.S.
  • 年度 2018
  • 页码 65 p.
  • 总页数 65
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 公共建筑;
  • 关键词

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