SGER: The Influence of Landscape Variation on Avian Demography: The Feasibility of Using GIS Analytical Techniques

SGER：景观变化对鸟类人口统计的影响：使用 GIS 分析技术的可行性

• 批准号: 9120661
• 负责人: Kimberly Sullivan
• 金额: $ 1.5万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-10-15 至 1993-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9120661&HistoricalAwards=false
• 关键词: SGER; Influence; Landscape; Variation; Avian

Preservation of biological diversity requires that variation in the landscape, and its importance to population persistence be well understood. Studies using traditional methods have demonstrated that a relationship exits between bird species and vegetation composition and structure, but have not been able to evaluate how this variation affects population statistics. Recently developed geographic information systems (GIS) analytical techniques using Landsat satellite images will be combined with a long-term data set on populations of the Yellow- eyed Junco, to better understand the potentially large influence of landscape variation on the structure and persistence of populations. Fine-scaled landscape characteristics will be linked to estimates of survivorship and mortality, productivity, movement patterns and abundance patterns. The proposed research will provide a new paradigm for researchers studying bird population biology and conservation. It will also test the effectiveness of "patch occupancy" models in estimating demographic trends and predicting population persistence. If accurate "patch occupancy" models can be developed, it will be possible to collect such data on many more species in a greater array of habitats than can now be accomplished with labor intensive mark- recapture studies. Conservation biologists and government agencies need cost effective, accurate methods of evaluating habitat, estimating bird population trends and predicting population persistence. The proposed research will help develop these models and analytical techniques.

保护生物多样性需要这种变异 在景观中，它对种群持续性的重要性是 很好理解。 使用传统方法的研究 证明了鸟类之间存在着某种关系， 植被组成和结构，但还没有能够 评估这种变化如何影响人口统计。 最近开发的地理信息系统（GIS） 利用陆地卫星图像的分析技术将 结合黄种人种群的长期数据集， 眼睛Junco，以更好地了解潜在的巨大影响力 景观变化的结构和持久性， 人口。 精细尺度的景观特征将 与存活率和死亡率，生产力， 移动模式和丰度模式。 拟议研究 将为研究鸟类的研究人员提供一个新的范例 种群生物学与保护。 它还将测试 “斑块占有率”模型在估算 人口趋势和预测人口持续性。 如果 准确的“补丁占用”模型可以开发，它将是 可以在更大的范围内收集更多物种的此类数据， 一系列的栖息地， 密集的标记再捕获研究。 保护生物学家和 政府机构需要成本效益高、准确的方法， 评估栖息地，估计鸟类种群趋势， 预测种群的持久性。 拟议的研究将 帮助开发这些模型和分析技术。