@article{tambling_wilson_bradford_scantlebury_2014, title={Fine-scale differences in predicted and observed cheetah diet: does sexual dimorphism matter?}, volume={44}, number={1}, journal={South African Journal of Wildlife Research}, author={Tambling, C. J. and Wilson, J. W. and Bradford, P. and Scantlebury, M.}, year={2014}, pages={90–94} }
 @article{scantlebury_mills_wilson_wilson_mills_durant_bennett_bradford_marks_speakman_2014, title={Flexible energetics of cheetah hunting strategies provide resistance against kleptoparasitism}, volume={346}, number={6205}, journal={Science}, author={Scantlebury, D. M. and Mills, M. G. L. and Wilson, R. P. and Wilson, J. W. and Mills, M. E. J. and Durant, S. M. and Bennett, N. C. and Bradford, P. and Marks, N. J. and Speakman, J. R.}, year={2014}, pages={79–81} }
 @article{wilson_mills_wilson_peters_mills_speakman_durant_bennett_marks_scantlebury_2013, title={Cheetahs, Acinonyx jubatus, balance turn capacity with pace when chasing prey}, volume={9}, number={5}, journal={Biology Letters}, author={Wilson, J. W. and Mills, M. G. L. and Wilson, R. P. and Peters, G. and Mills, M. E. J. and Speakman, J. R. and Durant, S. M. and Bennett, N. C. and Marks, N. J. and Scantlebury, M.}, year={2013} }
 @article{symes_wilson_woodborne_shaikh_scantlebury_2013, title={Resource partitioning of sympatric small mammals in an African forest-grassland vegetation mosaic}, volume={38}, number={6}, journal={Austral Ecology}, author={Symes, C. T. and Wilson, J. W. and Woodborne, S. M. and Shaikh, Z. S. and Scantlebury, M.}, year={2013}, pages={721–729} }
 @article{wilson_sexton_jobe_haddad_2013, title={The relative contribution of terrain, land cover, and vegetation structure indices to species distribution models}, volume={164}, ISSN={["1873-2917"]}, DOI={10.1016/j.biocon.2013.04.021}, abstractNote={Habitat assessments for biodiversity conservation are often complicated by the lack of detailed knowledge of a study species’ distribution. As an alternative to resource-intensive field-based methods to obtain such information, remotely sensed products can be utilized in species distribution models to infer a species’ distribution and ecological needs. Here we demonstrate how to arbitrate among a variety of remotely sensed predictor variables to estimate the distribution and ecological needs of an endangered butterfly species occurring mainly in inaccessible areas. We classified 19 continuous environmental predictor variables into three conceptually independent predictor classes, terrain, land cover, and vertical vegetation structure, and compared the accuracy of competing Maxent habitat models consisting of different combinations of each class. Each class contributed, though disproportionately, to our most reliable model that considered all 19 variables. We confirm that variables obtained from remote sensors can effectively estimate the distribution and ecological needs of a relatively unknown imperiled species occurring in inaccessible locations. Importantly, increasing the variety of predictor classes through multi-sensor fusion resulted in greater model accuracy than increasing the absolute number of predictor variables.}, journal={BIOLOGICAL CONSERVATION}, author={Wilson, John W. and Sexton, Joseph O. and Jobe, R. Todd and Haddad, Nick M.}, year={2013}, month={Aug}, pages={170–176} }
 @article{hudgens_morris_haddad_fields_wilson_kuefler_jobe_2012, title={How complex do models need to be to predict dispersal of threatened species through matrix habitats?}, volume={22}, DOI={10.1890/11-1048.1}, abstractNote={Persistence of species in fragmented landscapes depends on dispersal among suitable breeding sites, and dispersal is often influenced by the “matrix” habitats that lie between breeding sites. However, measuring effects of different matrix habitats on movement and incorporating those differences into spatially explicit models to predict dispersal is costly in terms of time and financial resources. Hence a key question for conservation managers is: Do more costly, complex movement models yield more accurate dispersal predictions? We compared the abilities of a range of movement models, from simple to complex, to predict the dispersal of an endangered butterfly, the Saint Francis' satyr (Neonympha mitchellii francisci). The value of more complex models differed depending on how value was assessed. Although the most complex model, based on detailed movement behaviors, best predicted observed dispersal rates, it was only slightly better than the simplest model, which was based solely on distance between sites. Consequently, a parsimony approach using information criteria favors the simplest model we examined. However, when we applied the models to a larger landscape that included proposed habitat restoration sites, in which the composition of the matrix was different than the matrix surrounding extant breeding sites, the simplest model failed to identify a potentially important dispersal barrier, open habitat that butterflies rarely enter, which may completely isolate some of the proposed restoration sites from other breeding sites. Finally, we found that, although the gain in predicting dispersal with increasing model complexity was small, so was the increase in financial cost. Furthermore, a greater fit continued to accrue with greater financial cost, and more complex models made substantially different predictions than simple models when applied to a novel landscape in which butterflies are to be reintroduced to bolster their populations. This suggests that more complex models might be justifiable on financial grounds. Our results caution against a pure parsimony approach to deciding how complex movement models need to be to accurately predict dispersal through the matrix, especially if the models are to be applied to novel or modified landscapes.}, number={5}, journal={Ecological Applications}, author={Hudgens, B. R. and Morris, W. F. and Haddad, N. M. and Fields, W. R. and Wilson, J. W. and Kuefler, D. and Jobe, T.}, year={2012}, pages={1701–1710} }
 @article{wilson_wanless_burle_angel_kritzinger_stead_2010, title={Breeding biology of brown noddies anous stolidus at their southern-most breeding site, gough island, in comparison to other sites}, volume={98}, number={2}, journal={Ardea}, author={Wilson, J. W. and Wanless, R. M. and Burle, M. H. and Angel, A. and Kritzinger, P. and Stead, B.}, year={2010}, pages={242–246} }
 @article{wilson_stirnemann_shaikh_scantlebury_2010, title={The response of small mammals to natural and human-altered edges associated with Afromontane forests of South Africa}, volume={259}, number={5}, journal={Forest Ecology and Management}, author={Wilson, J. W. and Stirnemann, R. L. and Shaikh, Z. S. and Scantlebury, M.}, year={2010}, pages={926–931} }