作者: JONATHAN R. RHODES , THORSTEN WIEGAND , CLIVE A. MCALPINE , JOHN CALLAGHAN , DANIEL LUNNEY
DOI: 10.1111/J.1523-1739.2006.00330.X
关键词:
摘要: Models of species' distributions are commonly used to inform landscape and conservation planning. In urban semiurban landscapes, the species determined by a combination natural habitat anthropogenic impacts. Understanding spatial influence these two processes is crucial for making spatially explicit decisions about actions. We present logistic regression model distribution koalas (Phascolarctos cinereus) in eastern Australia that explicitly separates effect quality impacts on koala distributions. achieved this comparing predicted from with what would have been if variables were at their mean values. Similar approaches relied predictions assuming zero, which will be unreliable training data set does not include close zero. Our approach novel because it can applied landscapes where never showed that, averaged across study area, was main determinant presence. At local scale, however, could more important, consequent implications demonstrated modeling approach, combined visual presentation as map, provides important information how different actions should allocated. This method particularly useful areas wildlife human populations exist proximity.