title: Exploring the mechanisms of ecological land change based on the spatial autoregressive model: a case study of the Poyang Lake Eco-Economic Zone, China.
abstract: Ecological land is one of the key resources and conditions for the survival of humans because it can provide ecosystem services and is particularly important to public health and safety. It is extremely valuable for effective ecological management to explore the evolution mechanisms of ecological land. Based on spatial statistical analyses, we explored the spatial disparities and primary potential drivers of ecological land change in the Poyang Lake Eco-economic Zone of China. The results demonstrated that the global Moran's I value is 0.1646 during the 1990 to 2005 time period and indicated signiﬁcant positive spatial correlation (p < 0.05). The results also imply that the clustering trend of ecological land changes weakened in the study area. Some potential driving forces were identified by applying the spatial autoregressive model in this study. The results demonstrated that the higher economic development level and industrialization rate were the main drivers for the faster change of ecological land in the study area. This study also tested the superiority of the spatial autoregressive model to study the mechanisms of ecological land change by comparing it with the traditional linear regressive model.
authors.affiliation: Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China. xiehualin@jxufe.edu.cn.
authors.forename: Hualin
authors.initials: H
authors.lastname: Xie
authors.affiliation: Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China. liuzhifei1972@126.com.
authors.forename: Zhifei
authors.initials: Z
authors.lastname: Liu
authors.affiliation: Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China. landuse2008@126.com.
authors.forename: Peng
authors.initials: P
authors.lastname: Wang
authors.affiliation: Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China. liuguiying_2013@126.com.
authors.forename: Guiying
authors.initials: G
authors.lastname: Liu
authors.affiliation: Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China. fucai@126.com.
authors.forename: Fucai
authors.initials: F
authors.lastname: Lu
mesh_terms: D002681:China; D017753:Ecosystem; D005843:Geography; D008962:Models, Theoretical; D012044:Regression Analysis