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.

生物多样性信息学的测绘需要栖息地的信息，以便可以将已知物种的出现推断到潜在物种出现的地图上。也就是说，将已知的标本位置转换成地图，我们如何才能最好地预测该物种可能出现的其他个体或种群？在景观生态学的背景下，景观结构是鸟类栖息地偏好的主要依据。植被空间组成、异质性、变异性和尺度是影响水平结构的变量，而植被高度、分层和生物量是影响体积维度的变量。将这些变量和其他变量结合在一起，就描述了栖息地真正的多维结构。