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Evaluating population-habitat relationships of forest breeding birds at multiple spatial and temporal scales using Forest Inventory and Analysis data.

机译：使用森林清单和分析数据，在多个时空尺度上评估森林繁殖鸟类的种群-栖息地关系。

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摘要

Multiple studies have documented declines of forest breeding birds in the eastern United States, but the temporal and spatial scales of most studies limit inference regarding large scale bird-habitat trends. A potential solution to this challenge is integrating existing long-term datasets such as the U.S. Forest Service Forest Inventory and Analysis (FIA) program and U.S. Geological Survey Breeding Bird Survey (BBS) that span large geographic regions. The purposes of this study were to determine if FIA metrics can be related to BBS population indices at multiple spatial and temporal scales and to develop predictive models from these relationships that identify forest conditions favorable to forest songbirds. I accumulated annual route-level BBS data for 4 species guilds (canopy nesting, ground and shrub nesting, cavity nesting, early successional), each containing a minimum of five bird species, from 1966-2004. I developed 41 forest variables describing forest structure at the county level using FIA data from for the 2000 inventory cycle within 5 physiographic regions in 14 states (AL, GA, IL, IN, KY, MD, NC, NY, OH, PA, SC, TN, VA, and WV). I examine spatial relationships between the BBS and FIA data at 3 hierarchical scales: (1) individual BBS routes, (2) FIA units, and (3) and physiographic sections. At the BBS route scale, I buffered each BBS route with a 100m, 1km, and 10km buffer, intersected these buffers with the county boundaries, and developed a weighted average for each forest variable within each buffer, with the weight being a function of the percent of area each county had within a given buffer. I calculated 28 variables describing landscape structure from 1992 NLCD imagery using Fragstats within each buffer size. I developed predictive models relating spatial variations in bird occupancy and abundance to changes in forest and landscape structure using logistic regression and classification and regression trees (CART). Models were developed for each of the 3 buffer sizes, and I pooled the variables selected for the individual models and used them to develop multiscale models with the BBS route still serving as the sample unit. At the FIA unit and physiographic section scales I calculated average abundance/route for each bird species within each FIA unit and physiographic section and extrapolated the plot-level FIA variables to the FIA unit and physiographic section levels. (Abstract shortened by UMI.)
机译：多项研究已证明美国东部森林繁殖鸟类的数量减少，但是大多数研究的时间和空间尺度限制了关于大规模鸟类栖息地趋势的推断。解决这一挑战的潜在解决方案是整合现有的长期数据集，例如跨越大地理区域的美国森林服务局森林清单和分析（FIA）计划和美国地质调查局繁殖鸟类调查（BBS）。这项研究的目的是确定FIA指标是否可以在多个时空尺度上与BBS种群指数相关联，并从这些关系中建立预测模型，以识别有利于森林鸣禽的森林状况。我收集了1966-2004年间4种物种行会的年度路线级别BBS数据（冠层筑巢，地面和灌木筑巢，空腔筑巢，早期演替），每组至少包含5种鸟类。我使用来自14个州（AL，GA，IL，IN，KY，MD，NC，NY，OH，PA，SC等5个地理区域的2000年清单周期的FIA数据）开发了描述县级森林结构的41个森林变量，TN，VA和WV）。我以3个等级尺度检查了BBS和FIA数据之间的空间关系：（1）单个BBS路线，（2）FIA单位，以及（3）和地貌剖面。在BBS路线规模上，我用100m，1km和10km的缓冲区缓冲了每个BBS路线，将这些缓冲区与县边界相交，并为每个缓冲区内的每个森林变量制定了加权平均值，其权重是每个县在给定缓冲区内的面积百分比。我使用每个缓冲区大小内的Fragstats计算了1992年NLCD图像中描述景观结构的28个变量。我开发了预测模型，使用逻辑回归，分类和回归树（CART）将鸟类居住和丰度的空间变化与森林和景观结构的变化联系起来。针对3种缓冲区大小中的每一种都开发了模型，我汇总了为各个模型选择的变量，并使用它们来开发多尺度模型，而BBS路线仍作为样本单位。在FIA单位和自然地理区域的比例下，我计算了每个FIA单位和自然地理区域内每种鸟类的平均丰度/路线，并将样地级FIA变量外推到FIA单位和自然地理区域。 （摘要由UMI缩短。）

著录项

  • 作者

    Fearer, Todd M.;

  • 作者单位

    Virginia Polytechnic Institute and State University.;

  • 授予单位 Virginia Polytechnic Institute and State University.;
  • 学科 Biology Ecology.; Agriculture Forestry and Wildlife.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 542 p.
  • 总页数 542
  • 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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