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- W1528604860 abstract "Earth surface processes (ESPs) drive landscape development and ecosystem processes in high-latitude regions by creating spatially heterogeneous abiotic and biotic conditions. Ongoing global change may potentially alter the activity of ESPs through feedback on ground conditions, vegetation and the carbon cycle. Consequently, accurate modeling of ESPs is important for improving understanding of the current and future distributions of these processes. The aims of this study were to: (1) integrate climate and multiple local predictors to develop realistic ensemble models for the four key ESPs occurring at high latitudes (slope processes, cryoturbation, nivation and palsa mires) based on the outputs of 10 modern statistical techniques; (2) test whether models of ESPs are improved by incorporating topography, soil and vegetation predictors to climate-only models; (3) examine the relative importance of these variables in a multivariate setting. Overall, the models showed high transferability with the mean area under curve of a receiver operating characteristics (AUC) ranging from 0.83 to 0.96 and true skill statistics (TSS) from 0.52 to 0.87 for the most complex models. Even though the analyses highlighted the importance of the climate variables as the most influential predictors, three out of four models benefitted from the inclusion of local predictors. We conclude that disregarding local topography and soil conditions in spatial models of ESPs may cause a significant source of error in geomorphological distribution models. Copyright © 2014 John Wiley & Sons, Ltd." @default.
- W1528604860 created "2016-06-24" @default.
- W1528604860 creator A5050743333 @default.
- W1528604860 creator A5080656961 @default.
- W1528604860 date "2014-04-08" @default.
- W1528604860 modified "2023-10-18" @default.
- W1528604860 title "Integrating climate and local factors for geomorphological distribution models" @default.
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- W1528604860 cites W1513618424 @default.
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- W1528604860 cites W1902944997 @default.
- W1528604860 cites W1912295873 @default.
- W1528604860 cites W192021582 @default.
- W1528604860 cites W1956280464 @default.
- W1528604860 cites W1977838436 @default.
- W1528604860 cites W1979335109 @default.
- W1528604860 cites W1980948213 @default.
- W1528604860 cites W1981646498 @default.
- W1528604860 cites W1985030302 @default.
- W1528604860 cites W1989105495 @default.
- W1528604860 cites W1990748933 @default.
- W1528604860 cites W1993727061 @default.
- W1528604860 cites W1995966480 @default.
- W1528604860 cites W1997686350 @default.
- W1528604860 cites W2002758482 @default.
- W1528604860 cites W2004447223 @default.
- W1528604860 cites W2006333257 @default.
- W1528604860 cites W2023171854 @default.
- W1528604860 cites W2027626736 @default.
- W1528604860 cites W2028054303 @default.
- W1528604860 cites W2036546169 @default.
- W1528604860 cites W2038281504 @default.
- W1528604860 cites W2040467223 @default.
- W1528604860 cites W2041128831 @default.
- W1528604860 cites W2041721328 @default.
- W1528604860 cites W2042783301 @default.
- W1528604860 cites W2043332265 @default.
- W1528604860 cites W2047600172 @default.
- W1528604860 cites W2047813444 @default.
- W1528604860 cites W2056392803 @default.
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- W1528604860 cites W2067080351 @default.
- W1528604860 cites W2068813744 @default.
- W1528604860 cites W2071548879 @default.
- W1528604860 cites W2073706741 @default.
- W1528604860 cites W2079517851 @default.
- W1528604860 cites W2086431105 @default.
- W1528604860 cites W2089680607 @default.
- W1528604860 cites W2093635393 @default.
- W1528604860 cites W2094663307 @default.
- W1528604860 cites W2102201073 @default.
- W1528604860 cites W2103232232 @default.
- W1528604860 cites W2106478824 @default.
- W1528604860 cites W2113628210 @default.
- W1528604860 cites W2113746882 @default.
- W1528604860 cites W2114459617 @default.
- W1528604860 cites W2115268776 @default.
- W1528604860 cites W2117133887 @default.
- W1528604860 cites W2120160157 @default.
- W1528604860 cites W2128632771 @default.
- W1528604860 cites W2135695572 @default.
- W1528604860 cites W2138677176 @default.
- W1528604860 cites W2139416101 @default.
- W1528604860 cites W2139620033 @default.
- W1528604860 cites W2142129390 @default.
- W1528604860 cites W2143296882 @default.
- W1528604860 cites W2150630776 @default.
- W1528604860 cites W2151676494 @default.
- W1528604860 cites W2156913135 @default.
- W1528604860 cites W2157439435 @default.
- W1528604860 cites W2161265279 @default.
- W1528604860 cites W2163447731 @default.
- W1528604860 cites W2163816695 @default.
- W1528604860 cites W2172157711 @default.
- W1528604860 cites W2312408544 @default.
- W1528604860 cites W2488607097 @default.
- W1528604860 cites W2797540839 @default.
- W1528604860 cites W2911964244 @default.
- W1528604860 cites W4232984575 @default.
- W1528604860 cites W4234750113 @default.
- W1528604860 cites W4237247646 @default.
- W1528604860 cites W4238691261 @default.
- W1528604860 cites W4240349464 @default.
- W1528604860 cites W4301861531 @default.
- W1528604860 doi "https://doi.org/10.1002/esp.3554" @default.
- W1528604860 hasPublicationYear "2014" @default.
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