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Species specific mangrove habitat suitability and scenario dependent blue carbon modeling under uncertainty in Soc Trang Province, Vietnam
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Abstract
This study develops an integrated framework for species specific mangrove habitat suitability and scenario dependent blue carbon planning in Soc Trang Province, Vietnam. The spatial model translates ecological zonation evidence for 11 mangrove taxa into local rules based on coastal distance and elevation, then tests those rules across 19 spatial scenarios. The carbon model carries the resulting group level suitable areas into a simplified Tier 2 assessment with conservative, central, and high parameter settings for sequestration and stock terms. Under the RF1 baseline, cumulative group level suitable area reached 47,997.312 ha. Avicennia spp. represented 15,752.821 ha, or 32.8% of the RF1 opportunity space, while Sonneratia spp., the Rhizophora group, the Interior upper complex, and the Brackish freshwater complex contributed 19.3%, 14.1%, 16.7%, and 17.0%, respectively. The RF1 central carbon outcome was 22.09 million t CO2e over 30 years, with a conservative to high range of 18.83 to 25.27 million t CO2e. Across all scenarios, central carbon outcomes ranged from 16.40 million t CO2e in RF4 to 23.38 million t CO2e in SC1. These results show that the framework is not merely a mapping exercise. It identifies where ecological opportunity is robust, where carbon outcomes are sensitive to spatial assumptions, and why credit style interpretation must remain separate from planning level blue carbon screening.
DOI
https://doi.org/10.31223/X5QJ4Z
Subjects
Engineering, Life Sciences
Keywords
mangrove, habitat suitability, blue carbon, uncertainty analysis, Soc Trang, Mekong Delta, species richness, restoration planning
Dates
Published: 2026-04-26 08:29
Last Updated: 2026-04-26 08:29
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
The underlying input datasets are publicly available. The derived data and analysis outputs are currently being organized for public release. They are available from the corresponding author upon reasonable request.
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