Land use and climate control the spatial distribution of soil types in the grasslands of Inner Mongolia

被引:56
|
作者
Barthold, F. K. [1 ]
Wiesmeier, M. [2 ]
Breuer, L. [1 ]
Frede, H-G [1 ]
Wu, J. [1 ,3 ]
Blank, F. B. [1 ]
机构
[1] Univ Giessen, Inst Landscape Ecol & Resources Management, Res Ctr BioSyst Land Use & Nutr IFZ, D-35392 Giessen, Germany
[2] Tech Univ Munich, Lehrstuhl Bodenkunde, Dept Okol & Okosyst Management, Wissensch Zentrum Ernahrung Landnutzung & Umwelt, D-85350 Freising Weihenstephan, Germany
[3] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
关键词
Random Forests; Soil-environmental relationships; Steppe; Inner Mongolia; Land use change; Climate change; GRAZING INTENSITY; RANDOM FORESTS; STEPPE; PREDICTION; MOISTURE; IDENTIFICATION; DEGRADATION; TOPOGRAPHY; MANAGEMENT; PATTERNS;
D O I
10.1016/j.jaridenv.2012.08.004
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The spatial distribution of soil types is controlled by a set of environmental factors such as climate, organisms, parent material and topography as well as time and space. A change of these factors will lead to a change in the spatial distribution of soil types. In this study, we use a digital soil mapping approach to improve our knowledge about major soil type distributing factors in the steppe regions of Inner Mongolia (China) which currently undergo tremendous environmental change, e.g. climate and land use change. We use Random Forests in an effort to map Reference Soil Groups according to the World Reference Base for Soil Resources (WRB) in the Xilin River catchment. We benefit from the superior prediction capabilities of RF and additional interpretive results in order to identify the major environmental factors that control spatial patterns of soil types. The nine WRB soil groups that were identified and spatially predicted for the study area are Arenosol, Calcisol, Cambisol, Chernozem, Cryosol, Gleysol, Kastanozem, Phaeozem and Regosol. Model and prediction performances of the RF model are high with an Out-of-Bag error of 51.6% for the model and a misclassification error for the predicted map of 28.9%. The main controlling factors of soil type distribution are land use, a set of topographic variables, geology and climate. However, land use and climate are of major importance and topography and geology are of minor importance. The visualizations of the predictions, the variable importance measures as result of RF and the comparisons of these with the spatial distribution of the environmental factors delivered additional, quantitative information of these controlling factors and revealed that intensively grazed areas are subjected to soil degradation. However, most of the area is still governed by natural soil forming processes which are driven by climate, topography and geology. Most importantly though, our study revealed that a shift towards warmer temperatures and lower precipitation regimes will lead to a change of the spatial distribution of RSGs towards steppe soils that store less carbon, i.e. a decrease of spatial extent of Phaeozems and an increase of spatial extent of Chernozems and Kastanozems. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:194 / 205
页数:12
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