The influence of non-climate predictors at local and landscape resolutions depends on the autecology of the species Harris,DB, Gregory,SD, Brook,BW, Ritchie,EG, Croft,DB, Coulson,G and Fordham,DA 2014, The influence of non-climate predictors at local and landscape resolutions depends on the autecology of the species, Austral ecology, vol. 39, no. 6, pp. 710-721, doi: 10.1111/aec.12134. Attached Files Name Description MIMEType Size Downloads Title The influence of non-climate predictors at local and landscape resolutions depends on the autecology of the species Author(s) Harris,DB Gregory,SD Brook,BW Ritchie,EG orcid.org/0000-0003-4410-8868 Croft,DB Coulson,G Fordham,DA Journal name Austral ecology Volume number 39 Issue number 6 Start page 710 End page 721 Total pages 12 Publisher Wiley Place of publication London, Eng. Publication date 2014-09 ISSN 1442-9985 1442-9993 Keyword(s) Home range Kangaroo Land cover Scale Species distribution model Science & Technology Life Sciences & Biomedicine Ecology Environmental Sciences & Ecology NEW-SOUTH-WALES MACROPUS-ROBUSTUS-ERUBESCENS SYMPATRIC RED KANGAROOS WESTERN GREY KANGAROOS HOME-RANGE DISTRIBUTION MODELS BIOCLIMATIC MODELS ARID-ZONE REGRESSION TREES ENVELOPE MODELS Summary Species distribution models have come under criticism for being too simplistic for making robust future forecasts, partly because they assume that climate is the main determinant of geographical range at large spatial extents and coarse resolutions, with non-climate predictors being important only at finer scales. We suggest that this paradigm might be obscured by species movement patterns. To explore this we used contrasting kangaroo (family Macropodidae) case studies: two species with relatively small, stable home ranges (Macropus giganteus and M.robustus) and three species with more extensive, adaptive ranging behaviour (M.antilopinus, M.fuliginosus and M.rufus). We predicted that non-climate predictors will be most influential to model fit and predictive performance at local spatial resolution for the former species and at landscape resolution for the latter species. We compared residuals autocovariate - boosted regression tree (RAC-BRT) model statistics with and without species-specific non-climate predictors (habitat, soil, fire, water and topography), at local- and landscape-level spatial resolutions (5 and 50km). As predicted, the influence of non-climate predictors on model fit and predictive performance (compared with climate-only models) was greater at 50 compared with 5km resolution for M.rufus and M.fuliginosus and the opposite trend was observed for M.giganteus. The results for M.robustus and M.antilopinus were inconclusive. Also notable was the difference in inter-scale importance of climate predictors in the presence of non-climate predictors. In conclusion, differences in autecology, particularly relating to space use, may contribute to the importance of non-climate predictors at a given scale, not model scale per se. Further exploration of this concept across a range of species is encouraged and findings may contribute to more effective conservation and management of species at ecologically meaningful scales. © 2014 Ecological Society of Australia. Language eng DOI 10.1111/aec.12134 Field of Research 059999 Environmental Sciences not elsewhere classified Socio Economic Objective 970105 Expanding Knowledge in the Environmental Sciences HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Wiley Persistent URL http://hdl.handle.net/10536/DRO/DU:30072413 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Life and Environmental Sciences Centre for Integrative Ecology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 17 Apr 2015, 11:38:10 EST Sat, 18 Apr 2015, 05:02:22 EST Sat, 18 Apr 2015, 06:13:47 EST Mon, 20 Apr 2015, 12:32:02 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 493 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Fri, 17 Apr 2015, 11:38:10 EST

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