Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1111/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
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ISSN | 1442-9985 |
EISSN | 1442-9993 |
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 |
推荐引用方式 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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The influence of non(535KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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