Developing a Preliminary MEL–DPSIR Framework for Future Assessment of Seagrass Restoration Effectiveness: The Case of Cu Lao Cham Nature Reserve, Vietnam

Assessing seagrass restoration requires looking beyond biological recovery to include environmental, social, and management factors. To address this in Cu Lao Cham Nature Reserve, Vietnam, we developed a 31-indicator Monitoring–Evaluation–Learning and Drivers–Pressures–State–Impact–Response (MEL–DPSIR) framework spanning five key dimensions. We derived indicator targets from international standards, national policy, baseline data, and local stakeholder input. Using a fuzzy multi-criteria evaluation, the Biological–Ecological dimension received the highest integrated weight (0.34), followed by Community Livelihoods (0.28), while Learning received the lowest weight (0.05)—a ranking that proved robust under sensitivity testing. Because empirical restoration data are not yet available, this paper presents the framework design rather than empirical testing. Ultimately, our framework offers a flexible decision-support tool meant to be refined through real-world monitoring cycles.

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Publication Details

Journal
Coasts
Published
2026-09-15
DOI
https://doi.org/10.3390/coasts6030039
Primary Topic
Marine and coastal plant biology
Type
article
Field-Weighted Citation Impact
0.00

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article

Developing a Preliminary MEL–DPSIR Framework for Future Assessment of Seagrass Restoration Effectiveness: The Case of Cu Lao Cham Nature Reserve, Vietnam

Nguyen Bac Giang, Tran Ngoc Tuan, Hoàng Công Tín, Trần Anh Tuấn et al.
Coasts
Marine and coastal plant biology
article

Developing a Preliminary MEL–DPSIR Framework for Future Assessment of Seagrass Restoration Effectiveness: The Case of Cu Lao Cham Nature Reserve, Vietnam

Nguyen Bac Giang, Tran Ngoc Tuan, Hoàng Công Tín, Trần Anh Tuấn, Trần Thị Phương Thảo, Nguyen Thi Dieu Thuy, Nguyen Thanh Huy
article en

Abstract

Assessing seagrass restoration requires looking beyond biological recovery to include environmental, social, and management factors. To address this in Cu Lao Cham Nature Reserve, Vietnam, we developed a 31-indicator Monitoring–Evaluation–Learning and Drivers–Pressures–State–Impact–Response (MEL–DPSIR) framework spanning five key dimensions. We derived indicator targets from international standards, national policy, baseline data, and local stakeholder input. Using a fuzzy multi-criteria evaluation, the Biological–Ecological dimension received the highest integrated weight (0.34), followed by Community Livelihoods (0.28), while Learning received the lowest weight (0.05)—a ranking that proved robust under sensitivity testing. Because empirical restoration data are not yet available, this paper presents the framework design rather than empirical testing. Ultimately, our framework offers a flexible decision-support tool meant to be refined through real-world monitoring cycles.

CoastsVol. 6(3)
WWF Colombia (CO), Hue University (VN), Institute of Nature Management (BY)
Department for Environment, Food and Rural Affairs, UK Government, Đại học Huế
Openalex Percentile: Top 15%
Marine and coastal plant biology
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Developing a Preliminary MEL–DPSIR Framework for Future Assessment of Seagrass Restoration Effectiveness: The Case of Cu Lao Cham Nature Reserve, Vietnam — Nguyen Bac Giang, Tran Ngoc Tuan, et al. · Coasts (2026) | TGRS Research Map | TGRS