1. Pattern simulation of karst rocky desertification based on cellular automata
- Author
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吴秀芹 Wu Xiuqin, 王晓学 Wang Xiaoxue, and 李叙勇 Li Xuyong
- Subjects
geography ,geography.geographical_feature_category ,Ecology ,media_common.quotation_subject ,Land cover ,Vegetation ,Karst ,Desertification ,Spatial ecology ,Land degradation ,Environmental science ,Afforestation ,Physical geography ,Overgrazing ,Ecology, Evolution, Behavior and Systematics ,media_common - Abstract
Desertification in the karst mountain regions of southwest China is one of the most challenging environmental issues in western China because of its severe negative effects on the local community.Based on natural and cultural factors that cause rocky desertification occurrence and development,a simple,effective simulation and prediction model for karst rocky desertification was constructed to gain an improved understanding of the process and mechanism of rocky desertification development(KrastCA).This model effectively incorporated ecological processes,including plant colonization,plant mortality,land degradation,and soil formation with the local facilitation of the plant.The random cellular automata model,which can generate complex spatial patterns via simple rules,was employed to make state transition between vegetation,bare soil,and rock in a certain probability.Combined with the remote sensing(RS) and geographic information system(GIS) technology,rural settlements were extracted from TM image,and vegetation-bare soil-rock composition abundance images using the linear spectral unmixing approach,which is the initial state of the KrastCA model.The typical karst areas in Guanling County were selected as the study areas.KarstCA model simulation results performed better forecast(73.4% accuracy) when natural and human factors were considered compared with incorporating only natural factors(56.7% accuracy).This outcome suggests that the model used in this study effectively incorporated the key ecological processes that affected rocky desertification occurrence and development.By considering both natural and human factors and natural factor alone,KrastCA model indicated that spatial distribution differences in rocky desertification mainly focused on the center and north of the study area in 2007,which mainly depended on the intensity and scales of human activities.The land cover(vegetation,bare soil,and rock) in karst regions showed nonlinearity during 1992 to 2007(16 years).The trend of vegetation covering ≥ 54% showed a significantly negative correlation with rocky areas(P0.01).This finding strengthens the importance of vegetation in combating rocky desertification.Human activities hampered the development of rocky desertification in the study area during the simulation period.To some extent,the positive effects of human activities(e.g afforestation) and the negative effects(e.g deforestation,overgrazing,etc.) partially counteracted the dramatic changes in the vegetation area.However,the landscape tended to fragmentize.This study attempted to couple the surface process model into the cellular automata model,breaking through the previous study modeling surface process only by the state transition probability,and lack of understanding its mechanism.In addition,this study took into account the complexity of natural and human drivers in different spatial scales to act on the rocky desertification.The findings of this study shed light on the effects and contributions of these factors on surface processes.
- Published
- 2012
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