Biodiversity & Ecosystem Informatics - BDEI : Radar Remote Sensing of Habitat Structure for Biodiversity Informatics

生物多样性

• 批准号: 0131281
• 负责人: Kathleen Bergen
• 金额: $ 5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2003-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0131281&HistoricalAwards=false
• 关键词: Biodiversity; & Ecosystem; Informatics; BDEI

EIA-0131281Bergen, KathleenUniversity of Michigan - Ann ArborBDEI: Radar Remote Sensing of Habitat Structure for Biodiversity InformaticsProject SummaryMapping for biodiversity informatics requires information on habitat so that known speciesoccurrences may be extrapolated to maps of potential species occurrences. That is, given the conversionof known specimen locations into maps, how can we best predict where additional individuals orpopulations of that species may occur? In the context of landscape ecology, landscape structure - itsmulti-dimensional components - is a primary basis for habitat preferences of bird species. Vegetationspatial composition, heterogeneity, variability, and scale are among the variables contributing to thehorizontal structure, while vegetation height, layering, and biomass are examples of variables in thevolumetric dimension. Combined together these variables, and others, describe the real multi-dimensionalstructure of habitat.

EIA -0131281BERGEN，密歇根州的Kathleenuniversity -Ann Arborbdei：生物多样性信息的生物多样性信息摘要的生物多样性信息图需要有关栖息地的信息的雷达遥感，需要有关栖息地的信息，以便可以将已知的物种物质伸入潜在物种可能发生的映射。也就是说，鉴于已知的标本位置转换为地图，我们如何才能最好地预测该物种的其他人群可能发生在哪里？在景观生态学的背景下，景观结构（Itsmulti维成分）是鸟类栖息地偏好的主要基础。植被的组成，异质性，可变性和尺度是导致horizo​​ntal结构的变量之一，而植被的高度，分层和生物量是Volumetric维度变量的示例。将这些变量和其他变量结合在一起，描述了栖息地的实际多维分子结构。