作者: Melissa J. Bruton , Martine Maron , Noam Levin , Clive A. McAlpine
DOI: 10.1007/S10980-015-0157-9
关键词: Vegetation type 、 Landscape ecology 、 Species richness 、 Ecology 、 Geography 、 Ecotope 、 Landscape epidemiology 、 Context (language use) 、 Fauna 、 Abundance (ecology)
摘要: Fauna distributions are assessed using discrete (binary and mosaic) or continuous conceptualisations of the landscape. The value information derived from these analyses depends on relevance landscape representation (or model) used to fauna interest. Discrete representations dominate context in disturbed regenerating landscapes; however within-patch variation suggests that may help explain distribution such landscapes. We tested binary, mosaic, reptiles dryland For each thirteen reptile groups, we compared fit models consisting one composition heterogeneity variable for six (2× 2× continuous), at three buffer distances. Akaike weights assess relative support model. Maps were created Landsat satellite images. Reptiles varied their response context; however, binary with classes ‘intact/disturbed’ was best supported overall. Species richness described by a ‘wooded/clear’, whereas abundance mosaic defined vegetation type. Five out ten species responded strongly single representation, most relevant conceptualisation varying among species. Our findings use multiple during