Title
Evaluating the Effectiveness of Conservation on Mangroves: A Remote Sensing-Based Comparison for Two Adjacent Protected Areas in Shenzhen and Hong Kong, China.
Abstract
Mangroves are ecologically important ecosystems and globally protected. The purpose of this study was to evaluate the effectiveness of mangrove conservation efforts in two adjacent protected areas in China that were under the management policies of the Ramsar Convention (Mai Po Marshes Nature Reserve (MPMNR), Hong Kong) and China's National Nature Reserve System (Futian Mangrove National Nature Reserve (FMNNR), Shenzhen). To achieve this goal, eleven Landsat images were chosen and classified, areal extent and landscape metrics were then calculated. The results showed that: from 1973-2015, the areal extent of mangroves in both reserves increased, but the net change for the MPMNR (281.43 hm(2)) was much higher than those of the FMNNR (101.97 hm(2)). In general, the area-weighted centroid of the mangroves in FMNNR moved seaward by approximately 120 m, whereas in the MPMNR, the centroid moved seaward even farther (410 m). Although both reserves saw increased integrality and connectivity of the mangrove patches, the patches in the MPMNR always had higher integrality than those in the FMNNR. We concluded that the mangroves in the MPMNR were more effectively protected than those in the FMNNR. This study may provide assistance to the formulation of generally accepted criteria for remote sensing-based evaluation of conservation effectiveness, and may facilitate the development of appropriate mangrove forest conservation and management strategies in other counties.
Year
DOI
Venue
2016
10.3390/rs8080627
REMOTE SENSING
Keywords
Field
DocType
remote sensing,mangroves,Ramsar Convention,National Nature Reserve,Landsat,object-based method,landscape metrics,area-weighted centroids
Mangrove,Remote sensing,China,Marsh,Ramsar Convention,Geology,Nature reserve,Ecosystem
Journal
Volume
Issue
Citations 
8
8
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Mingming Jia136641.64
Mingyue Liu241.87
Zongming Wang37219.71
Dehua Mao4266.83
Chun-Ying Ren5398.51
Haishan Cui600.68