在咨询与哈德逊河河口方案人员的磋商中，Wappinger Creek流域中的虹膜相关景观模式，沿着Wappinger Creek及其支流获得的水样，目的是确定土地覆盖数据的规模如何影响流域内景观模式之间的相关性哈德逊河支流水质的生态指标。在流内水质指标数据组织成三大水质指标类别：底栖宏观无脊椎动物，鱼类和营养/生物学。多元回归模型用于在分辨率的两个水平下统计地将水质数据与陆地盖区域相关联。结果表明，在陆地覆盖范围内，存在的陆地覆盖面积和流水质地区存在的可量化环节存在，并且该关系受到陆地覆盖数据集的空间特性的影响。Important findings include the observation that the lower-resolution land cover map (i.e., larger minimum mapping unit) with a higher-resolution land cover classification scheme generates the strongest relationships between water quality variables and area of land cover, while a watershed level analysis produces stronger relationships than a sub-watershed level analysis. The regression analyses reveal a strong correlation between four land cover types (herbaceous, agriculture, water and barren) and water quality. This indicates that these land cover types are notable landscape-level ecological indicators of water quality and should be considered as important contributors to the ecosystem services of local landscapes.
接触
马格尔德琳博士拉巴，ml49@cornell.edu.