Paper Info
Title
Landsat-Based Estimation of Mangrove Forest Loss and Restoration in Guangxi Province, China, Influenced by Human and Natural Factors
Abstract
Mangrove forest dynamics are undergoing constant changes because of both natural and anthropogenic factors. However, the rates and causes of loss and restoration remain largely unknown. This study aims to respond to this concern by analyzing the dynamics of mangrove forests and surrounding land covers in Guangxi Province, China. We analyzed Landsat images on a decadal scale between 1973 and 2010 using an object-oriented classification method. Temporal analysis results indicated that the areal extent of mangrove forests showed the following changes: a sharp decrease from 5305 ha in 1973 to 2306 ha in 1981; a remarkable increase from 2306 ha in 1981 to 5937 ha in 2000; and a slight degradation from 5937 ha in 2000 to 5759 ha in 2010. Reclamation and natural factors resulted in the loss of mangrove forests. By comparison, protection and reforestation efforts contributed to mangrove forest restoration. During the past 40 years, mangrove forests in Guangxi were fragmented. In contrast to the movement of other mangrove forests in the world, mangroves in the coasts of Guangxi were moved seaward because the rates of change in relative sea level were exceeded by the rates of change in the elevation of sedimentation in mangrove mudflats. Simultaneously, man-made land cover prevented landward migration. These results provide valuable information for better understanding mangrove forest dynamics in developing countries. These results can also be used as guidelines in the creation and implementation of reasonable mangrove forest management policies.
Year
DOI
Venue
2015
10.1109/JSTARS.2014.2333527
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of  
Keywords
Field
DocType
geophysical image processing,image classification,land cover,vegetation mapping,ad 1973 to 2010,china,guangxi province,landsat-based estimation,land covers,mangrove forest dynamics,mangrove forest loss,mangrove forest management policies,object-oriented classification method,restoration,temporal analysis,coastal area,human impacts,mangrove forest,temporal change,remote sensing,satellites,shape,earth,sea level,image restoration
Reforestation,Mangrove,Sea level,China,Remote sensing,Land reclamation,Sedimentation,Elevation,Land cover,Mathematics
Journal
Volume
Issue
ISSN
8
1
1939-1404
Citations 
PageRank 
References 
6
0.63
5
Authors
5
Name
Order
Citations
PageRank
Mingming Jia136641.64
Zongming Wang27219.71
Yuanzhi Zhang326939.70
Chun-Ying Ren4398.51
Kaishan Song56617.79