The dorcas gazelle Gazella dorcas was very common and widespread in Tunisia. Nowadays, only some small isolated populations still survive in the desert areas of the southern part of the country. Factors affecting the distribution of this species in Tunisia have never been investigated despite the importance of such investigations for elaborating long-term conservation plans for the remaining wild populations. Using data on gazelle occurrence and on a set of habitat and human variables collected in south-eastern Tunisia, we aimed to identify the factors affecting gazelle distribution in this area. In particular, we investigated the relevance of habitat versus human factors for gazelle occurrence probability. As predicted, we found that human variables were the most relevant factors shaping the distribution patterns of gazelles in the studied area. Gazelles tended to avoid areas where agricultural development has occurred but did not seem to be disturbed by livestock. Overall, our results suggest that the occurrence probability of dorcas gazelle in southern Tunisia was mainly dependent on human presence and land use, rather than habitat characteristics. The recent intensification of agriculture in the more remote areas of southern Tunisia may thus constitute a serious threat to the conservation of this endangered species.

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SummaryModelling the distribution of species of conservation concern is an important issue in population ecology. Classically, logistic regression analyses are conducted to estimate species' distributions from detection/non-detection data in a sample of sites and to test for the significance of several environmental variables in predicting the probability of occurrence. These modelling approaches assume that species detection probability is constant and equals one in all sampled sites, which is critical, notably in the case of rare, shy and cryptic species. The capture-recapture-like approach developed by Mackenzie et al. (2002Mackenzie et al. ( , 2003 provides a reliable tool that accounts for imperfect detection when estimating species occurrence, as well as for assessing the relevance of site features as predictors of species occurrence probability. The aim of this study was to explore the possibility of using this approach in the context of Houbara Bustard Chlamydotis undulata in southern Tunisia. Our results show once more the low detectability of this emblematic species and stress the need to take this factor into account when estimating Houbara spatial distribution. The distribution of Houbara in southern Tunisia is more likely to be shaped by human-related than by habitat factors. In particular, Houbara occurrence was positively associated with site remoteness and camel numbers. Houbara seemed to avoid areas with high human presence and shared the most remote and agriculture-free zones with free-ranging camels.

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