Spectral diversity area relationships for assessing biodiversity in a wildland-agriculture matrix

摘要: Species-area relationships have long been used to assess patterns of species diversity across scales. Here, this concept is extended spectral using hyperspectral data collected by NASA's Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) over western Michigan. This mixture mesic forest and agricultural lands offers two end-points on the local-scale continuum; one set well-mixed patches highly homogeneous patches. Using sum first three principal component values components' convex hull volume, was compared within among these plots null expectations for perfectly random patchy landscapes. Overall, diversity-area relationship confirms that would be expected landscape, but application suggests approach could less well-understood landscapes reveal key insights about relative importance different drivers community assembly, even in absence additional plant functional traits or species' identities.