Arid
DOI10.1111/aec.12134
The influence of non-climate predictors at local and landscape resolutions depends on the autecology of the species
Harris, Donna B.1; Gregory, Stephen D.2; Brook, Barry W.1; Ritchie, Euan G.3; Croft, David B.4; Coulson, Graeme5; Fordham, Damien A.1
通讯作者Harris, Donna B.
来源期刊AUSTRAL ECOLOGY
ISSN1442-9985
EISSN1442-9993
出版年2014
卷号39期号:6页码:710-721
英文摘要

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 50 km). 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 5 km 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.


英文关键词home range kangaroo land cover scale species distribution model
类型Article
语种英语
国家Australia ; England
收录类别SCI-E
WOS记录号WOS:000340582500009
WOS关键词NEW-SOUTH-WALES ; MACROPUS-ROBUSTUS-ERUBESCENS ; SYMPATRIC RED KANGAROOS ; WESTERN GREY KANGAROOS ; HOME-RANGE ; DISTRIBUTION MODELS ; BIOCLIMATIC MODELS ; ARID-ZONE ; REGRESSION TREES ; ENVELOPE MODELS
WOS类目Ecology
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/180991
作者单位1.Univ Adelaide, Sch Earth & Environm Sci, Adelaide, SA 5005, Australia;
2.Game & Wildlife Conservat Trust, River Lab, Wareham, Dorset, England;
3.Deakin Univ, Sch Life & Environm Sci, Burwood, Vic, Australia;
4.Univ Melbourne, Dept Zool, Melbourne, Vic, Australia;
5.Univ New S Wales, Sch Biol Earth & Environm Sci, Sydney, NSW, Australia
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GB/T 7714
Harris, Donna B.,Gregory, Stephen D.,Brook, Barry W.,et al. The influence of non-climate predictors at local and landscape resolutions depends on the autecology of the species[J],2014,39(6):710-721.
APA Harris, Donna B..,Gregory, Stephen D..,Brook, Barry W..,Ritchie, Euan G..,Croft, David B..,...&Fordham, Damien A..(2014).The influence of non-climate predictors at local and landscape resolutions depends on the autecology of the species.AUSTRAL ECOLOGY,39(6),710-721.
MLA Harris, Donna B.,et al."The influence of non-climate predictors at local and landscape resolutions depends on the autecology of the species".AUSTRAL ECOLOGY 39.6(2014):710-721.
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