title: Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada.
abstract: Although there is no shortage of potential explanations for the large-scale patterns of biological diversity, the hypothesis that energy-related factors are the primary determinants is perhaps most extensively supported, especially in cold-temperate regions. By using unusually high-resolution biodiversity and environmental data that have not previously been available, we demonstrate that habitat heterogeneity, as measured by remotely sensed land cover variation, explains Canadian butterfly richness better than any energy-related variable we measured across spatial scales. Although species-richness predictability declines with progressively smaller quadrat sizes, as expected, we demonstrate that most variability (>90%) in butterfly richness may be explained by habitat heterogeneity with secondary contributions from climatic energy. We also find that patterns of community similarity across Canada are strongly related to patterns of habitat composition but not to differences in energy-related factors. Energy should still be considered significant but its main role may be through its effects on within-habitat diversity and perhaps, indirectly, on the sorts of habitats that may be found in a region. Effects of sampling intensity and spatial autocorrelation do not alter our findings.
authors.affiliation: Canada Centre for Remote Sensing, Natural Resources Canada, 588 Booth Street, Ottawa, ON, Canada. jeremy.kerr@ccrs.nrcan.gc.ca
authors.forename: J T
authors.initials: JT
authors.lastname: Kerr
authors.forename: T R
authors.initials: TR
authors.lastname: Southwood
authors.forename: J
authors.initials: J
authors.lastname: Cihlar
mesh_terms: D000818:Animals; D002080:Butterflies / Q000145:classification; D002170:Canada; D002980:Climate; D017753:Ecosystem; D004777:Environment; D011156:Population Density; D012044:Regression Analysis; D013696:Temperature