TY - JOUR
T1 - Contribution rates of landscape driving factors in coastal reclamation zone based on CLUE-S model validation
AU - Sun, Yong Guang
AU - Li, Xiu Zhen
AU - Guo, Wen Yong
AU - He, Yan Long
AU - Jia, Yue
PY - 2011/9
Y1 - 2011/9
N2 - 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.
AB - 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.
KW - CLUE-S model simulation
KW - Contribution rate of driving force
KW - Landscape dynamics
KW - Principal component analysis (PCA)
UR - https://www.scopus.com/pages/publications/80053279204
M3 - 文章
C2 - 22126053
AN - SCOPUS:80053279204
SN - 1001-9332
VL - 22
SP - 2391
EP - 2398
JO - Chinese Journal of Applied Ecology
JF - Chinese Journal of Applied Ecology
IS - 9
ER -