Mangrove health assessment using spatial metrics and multi-temporal remote sensing data.

Autor:	Hai PM; Vietnam Institute of Geodesy and Cartography, Ministry of Natural Resources and Environment, Hanoi, Vietnam., Tinh PH; Faculty of Environment, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam., Son NP; Vietnam Institute of Geodesy and Cartography, Ministry of Natural Resources and Environment, Hanoi, Vietnam., Thuy TV; Faculty of Environmental Sciences, VNU University of Science, Vietnam National University, Hanoi, Vietnam., Hong Hanh NT; Faculty of Environment, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam., Sharma S; Institute of Ocean and Earth Sciences, University of Malaya, Kuala Lumpur, Malaysia., Hoai DT; Vietnam Institute of Geodesy and Cartography, Ministry of Natural Resources and Environment, Hanoi, Vietnam., Duy VC; Faculty of Information Technology, Hanoi University of Science and Technology, Hanoi, Vietnam.
Jazyk:	angličtina
Zdroj:	PloS one [PLoS One] 2022 Dec 06; Vol. 17 (12), pp. e0275928. Date of Electronic Publication: 2022 Dec 06 (Print Publication: 2022).
DOI:	10.1371/journal.pone.0275928
Abstrakt:	Mangrove forest plays a very important role for both ecosystem services and biodiversity conservation. In Vietnam, mangrove is mainly distributed in the Mekong delta. Recently, mangrove areas in this region decreased rapidly in both quality and quantity. The forest became bare, divided and scattered into many small patches, which was a major driver of ecosystem degradation. Without a quantitative method for effectively assessing mangrove health in the regional scale, the sustainably conserving mangrove is the challenge for the local governments. Remote sensing data has been widely used for monitoring mangrove distributions, while the characterization of spatial metrics is important to understand the underlying processes of mangrove change. The objectives of this study were to develop an approach to monitor mangrove health in Mui Ca Mau, Ca Mau province of Vietnam by utilizing satellite image textures to assess the mangrove patterns. The research result showed that mangrove areas increased double by 2015, but the forest had become more fragmented. We can be seen those changes in land use mainly come from land conversion from forest to shrimp farms, settlements areas and public constructions. The conserving existing mangrove forest in Mui Ca Mau should consider the relations between mangrove health and influencing factors indicated in the manuscript. Competing Interests: The authors declare no conflict of interest. (Copyright: © 2022 Hai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze:	MEDLINE
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