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

EIA-0131281 Bergen，Kathleen密歇根大学-安娜堡BDEI：雷达遥感生境结构的生物多样性信息学项目摘要生物多样性信息学制图需要生境信息，以便已知物种的出现可以外推到潜在物种出现的地图。也就是说，给定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的其他个体或种群可能出现的地方？在景观生态学的背景下，景观结构-其多维组成部分-是鸟类栖息地偏好的主要基础。植被的空间组成、异质性、变异性和规模是影响水平结构的变量，而植被高度、分层和生物量是体积维度变量的例子。结合这些变量和其他变量，描述了生境的真实的多维结构。

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.