title: [Contribution rates of landscape driving factors in coastal reclamation zone based on CLUE-S model validation].
abstract: Based on the TM images, social-economic data, and field investigation data in 1990, 2000, and 2009, and by adopting redundancy analysis (RDA) and principal component analysis (PCA), this paper analyzed the contribution rates of landscape driving forces in coastal area of Fengxian reclamation zone at Yangtze Estuary. Kappa index was used to validate the simulation effectiveness of CLUE-S model. In the study area, anthropogenic landscape driving factors had a higher contribution rate than natural landscape driving factors (57.1% vs. 42.9%). The prediction accuracy rate of CLUE-S model was above 82%, the Kappa index of the main landscape types (farm land, unutilized land, and breeding ponds) was greater than 0.75, the simulation results were acceptable, and the landscape driving forces selected could better simulate the spatial distribution patterns of the abrupt transformation of the main landscape types.
authors: State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China. sunyg924@163.com
authors: Yong-guang
authors: YG
authors: Sun
authors: Xiu-zhen
authors: XZ
authors: Li
authors: Wen-yong
authors: WY
authors: Guo
authors: Yan-long
authors: YL
authors: He
authors: Yue
authors: Y
authors: Jia
mesh_terms: D017756:Aquaculture; D002681:China; D003247:Conservation of Natural Resources / Q000379:methods*; D018556:Crops, Agricultural / Q000254:growth & development*; D017753:Ecosystem; D004784:Environmental Monitoring; D008962:Models, Theoretical; D009792:Oceans and Seas; D012959:Socioeconomic Factors