Predictive modelling and ground validation of the spatial distribution of the New Zealand long-tailed bat ( Chalinolobus tuberculatus)

Abstract

The use of predictive models is continually increasing, but few models are subsequently field-checked and evaluated. This study evaluates the statistical strength and usefulness for conservation purposes of a predictive habitat use model developed for Chalinolobus tuberculatus, a threatened microchiropteran bat species found in the temperate rainforests of New Zealand. The relationship between various environmental variables and the presence/absence of the species was investigated using generalised linear modelling. The model developed was coupled with GIS data to develop maps of predicted occurrence within the West Coast region of New Zealand’s South Island. It was found that distance to forest boundary, slope, presence of Nothofagus, general land cover, variability in mean annual solar radiation, and mean ambient winter minimum temperature were significantly associated with the occurrence of the species. Evaluation of the statistical strength of the distribution model with independent data of species’ occurrence collected at 152 sites found that the C. tuberculatus model showed a moderate ability to predict both species presence and absence ( τ( b) coefficient = 0.37). The field detection rate (0.45) using this model was significantly higher than that of historical surveys (0.12). The value of the species habitat model and the need to evaluate its utility in the development of conservation strategies is discussed.