Scale-dependent occupancy patterns in reptiles across topographically different landscapes
Understanding what factors infl uence species occupancy in human-modifi ed landscapes is a central theme in ecology. We examined scale-dependent habitat relationships and site occupancy in reptiles across three topographically diff erent study areas in south-eastern Australia. We collected presence – absence data on reptiles from 443 sites associated with three longterm biodiversity monitoring programs, on four to seven occasions, between 2001 and 2013. We characterised sites by the following four variable domains: 1) fi eld design, 2) topography, 3) local-scale vegetation attributes and 4) landscapescale vegetation cover. We constructed occupancy models for 14 species and used an information-theoretic approach to compare multiple alternative hypotheses to explain occupancy within and between study areas. We modelled detection probability and used the model with the lowest AIC in subsequent analyses. We then modelled occupancy probability against all subsets of the variable groups (fi eld design, topography, local- and landscape-scale vegetation), as well as a model that held occupancy constant (null model). We found that local-scale vegetation attributes were important for explaining site occupancy in 12/19 possible models, although, in several cases model fi t was improved by the addition of topographic variables or native vegetation cover in the surrounding landscape. Occupancy models for widespread species were broadly congruent across study areas. We demonstrate that topographic variables are important for explaining reptile occupancy in hilly landscapes, and local- and landscape-scale variables are important for explaining reptile occupancy in fl at or gently undulating landscapes. Management actions that improve habitat complexity at a site-level, and encompass entire topographic gradients, will have greater benefi t to woodland reptiles than simply increasing vegetation cover in the surrounding landscape. ; This study was funded by the Australian Government's Caring for our Country scheme, the Murray Local Land Services and the Australian Research Council.