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Journal of Applied Remote Sensing

Spatially variant lagged responses of forest extent and landscape patterns to socioeconomic drivers in the Li River Basin, China
Author(s): Yuan Zhang; Jun Li; Qiming Qin; Ruofeng Xu; Cong Lin
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Paper Abstract

Forest cover change is one of the most important land cover changes. Intensified economic development and population growth have led to extensive deforestation and afforestation, and greatly altered the forest landscape patterns. This paper analyzed how socioeconomic drivers influenced the forest extent and landscape patterns in a lagged manner within the Li River Basin, Guangxi Zhuang Autonomous Region, China, during the period of 1991 to 2013. First, the temporal variations of forest extent and landscape patterns as quantified by six forest cover metrics were analyzed. The cross-correlation analysis was employed to examine the lagged responses of forest cover metrics to each socioeconomic driver across regions. Last, the fixed effects regression models were built to quantitatively assess the spatially variant relationships. The results demonstrated that the influence of socioeconomic drivers lagged, and the lagged influence varied across regions.

Paper Details

Date Published: 2 March 2016
PDF: 21 pages
J. Appl. Remote Sens. 10(1) 016020 doi: 10.1117/1.JRS.10.016020
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Yuan Zhang, Peking Univ. (China)
Jun Li, China Univ. of Mining and Technology (China)
Qiming Qin, Peking Univ. (China)
Ruofeng Xu, Peking Univ. (China)
Cong Lin, Peking Univ. (China)


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