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A spatial simulation model for karst rocky desertification combining top-down and bottom-up approaches
Xu, Erqi; Zhang, Hongqi
2018-10-01
Source PublicationLAND DEGRADATION & DEVELOPMENT
ISSN1085-3278
Volume29Issue:10Pages:3390-3404
Corresponding AuthorXu, Erqi(xueq@igsnrr.ac.cn)
AbstractKarst rocky desertification (KRD) is a serious ecological and environmental issue threatening southwestern China. The evolution of KRD calls for predicting its potential expansion or contraction, to support policy-making for combating KRD. A spatial model named SDKRD' for simulating KRD dynamics was developed in this study. The novelty of it is the ability to explore spatially local KRD evolution and integrate this information into a global estimation. The SDKRD model consists of three modules: a global KRD forecast and scenario setting, a local exploration of spatially varying effects of driving forces and neighbourhood influence on KRD evolution, and an iteration module for combining results of aforementioned modules. The SDKRD model was tested in the Changshun County as a case-study. The accuracy assessment confirmed a spatially visual consistency and a robust statistical result. Spatial KRD maps from 2010 to 2030 were simulated under three scenarios. The historical extrapolation scenario found a spatially global KRD reversion and locally scattered KRD deterioration. Different KRD restoration strategies under the other two scenarios could reverse the transformation of KRD classes at different magnitudes. Intermediate classes in the KRD evolution process could be more easily reversed. Under three scenarios with the increased strength of KRD management measures, areas of no KRD increased by 8.7%, 13.5%, and 16.6%, and areas of moderate KRD decreased by 38.3%, 53.0%, and 53.9%, respectively. SDKRD model presents specific KRD evolution trajectories and visualizes the KRD transformation at each location, which can help find cost-effective ways of combating KRD with differentiated strategies.
Keyworddesertification restoration dynamics simulation model karst rocky desertification scenario setting spatial heterogeneity
DOI10.1002/ldr.3103
WOS KeywordECOLOGICAL RESTORATION PROJECTS ; HUMAN DRIVING FORCES ; MARKOV-CHAIN MODEL ; URBAN LAND-USE ; SOUTHWEST CHINA ; CELLULAR-AUTOMATA ; GUIZHOU PROVINCE ; VEGETATION ; GROWTH ; AREA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601095] ; National basic Research Program of China[2015CB452702]
Funding OrganizationNational Natural Science Foundation of China ; National basic Research Program of China
WOS Research AreaEnvironmental Sciences & Ecology ; Agriculture
WOS SubjectEnvironmental Sciences ; Soil Science
WOS IDWOS:000447651700013
PublisherWILEY
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52808
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXu, Erqi
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Xu, Erqi,Zhang, Hongqi. A spatial simulation model for karst rocky desertification combining top-down and bottom-up approaches[J]. LAND DEGRADATION & DEVELOPMENT,2018,29(10):3390-3404.
APA Xu, Erqi,&Zhang, Hongqi.(2018).A spatial simulation model for karst rocky desertification combining top-down and bottom-up approaches.LAND DEGRADATION & DEVELOPMENT,29(10),3390-3404.
MLA Xu, Erqi,et al."A spatial simulation model for karst rocky desertification combining top-down and bottom-up approaches".LAND DEGRADATION & DEVELOPMENT 29.10(2018):3390-3404.
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