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Mangroves in Disaster Risk Reduction: Global Trends and Knowledge Gaps Lola Adres Yanti; Kamarullah Kamarullah; Astri Winda Siregar
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.7990

Abstract

Background. Mangrove ecosystems have increasingly been recognized as important components of disaster risk reduction (DRR), particularly in mitigating the impacts of coastal hazards such as tsunamis, storm surges, and coastal flooding. Alongside the growing influence of climate change adaptation and nature-based solutions, scholarly interest in mangroves has expanded across multiple disciplines. However, the overall development, thematic orientation, and existing gaps within mangrove-based DRR research remain insufficiently synthesized. The study’s objective was to examine the evolution, disciplinary structure, dominant themes, and underrepresented areas of global research on mangroves in the context of DRR. Materials and methods. This study employed a bibliometric approach to analyze peer-reviewed journal articles and review papers indexed in the Scopus database between 2000 and 2026. Descriptive analysis, keyword co-occurrence networks, thematic mapping, thematic evolution analysis, and geographic collaboration analysis were conducted using Biblioshiny and supporting analytical tools to identify publication trends, subject area distributions, core journals, thematic structures, and spatial research patterns. Results. The findings reveal a substantial increase in mangrove-based DRR research over time, particularly following major coastal disasters and during the recent climate-resilience era. The literature is dominated by environmental and earth sciences and primarily framed around ecological protection, ecosystem services, and hazard mitigation. In contrast, governance, preparedness, social vulnerability, and policy-oriented dimensions remain weakly represented. Thematic evolution indicates a shift toward climate-related and ecosystem-based approaches, alongside persistent conceptual gaps. Conclusions. This study concludes that while mangroves are well-established as ecological assets in DRR studies, their role as socio-ecological infrastructures remains underexplored. Advancing mangrove-based DRR requires greater integration of governance, preparedness, and social perspectives to enhance policy relevance and support sustainable coastal resilience.
Estimation of Blue Carbon Ecosystem Potential in The Mangrove Forest Tourism Area of Langsa Protected Zone Yanti, Lola Adres; Siregar, Astri Winda; Mona Fhitri Srena; Fikrinda; Ariz Umar Ramadhan; Afrizal Murdi; Berutu, Febrian Supriadi Laba Pardamean; Mizan Jrohna; Ilham Hanafi; Aang Kunaifi; Dedy Fitriandi
Journal of Sylva Indonesiana Vol. 9 No. 01 (2026): Journal of Sylva Indonesiana
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsi.v9i01.23828

Abstract

Mangrove forests are vital coastal ecosystems that sequester large amounts of carbon, helping mitigate climate change. Indonesia has the world’s largest mangrove area, including the Langsa Protected Mangrove Forest in Aceh, which holds high biodiversity and significant blue carbon potential. The Mangrove Forest Tourism Area in Langsa is one of the largest in Southeast Asia; therefore, estimating its carbon potential is essential to support Indonesia’s commitments to the Paris Agreement and carbon trading initiatives. This study aims to (1) identify tree species diversity in mangrove, and (2) estimate aboveground biomass, carbon stock, and carbon sequestration in the Langsa Mangrove Forest Tourism Area. A purposive sampling method was used for the initial plot, followed by systematic sampling. From 369.01 hectares of mangrove area, 19 plots were established with sizes of 10 m × 10 m for trees, 5 m × 5 m for saplings, and 2 m x 2 m for seedlings. Carbon stock estimation employed species-specific allometric equations. Out of 293 individual trees, four tree species, namely Rhizophora mucronata, Rhizophora apiculata, Bruguiera gymnorrhiza, and Ceriops tagal, were identified, with most ranging within 3.18–4.61 cm diameter classes. The highest aboveground biomass, carbon stock, and carbon sequestration were found in plot 19, at 27.66 ±13.18 tons/ha), 13.00 ±6.20 tons C/ha), and 47.67 ±22.71 tons CO₂/ha), respectively. These findings highlight the substantial blue carbon potential of the Langsa Mangrove Forest in a protected area, emphasizing its importance in regional conservation strategies.
Co-Authors Aang Kunaifi Achmad . Afrizal Murdi Ahmad Ahmad Ahmad Akhmad Baihaqi Ali M. Muslih Ali M. Muslih Ali Muhammad Muslih Ali Muhammad Muslih Ali Muhammad Muslih Ammar Habibi Anna Farida Anna Farida Anna Farida Anna Farida Apriadi, Apriadi Apriadi, Apriadi Apriansya, Gumayo Ar Rasyid, Ulfa Hansri Arif Habibal Umam Arif Habibal Umam Ariz Umar Ramadhan Arzyana Sunkar Ashabul Anhar Ashabul Anhar Ashabul Anhar Ashabul Anhar Ashabul Anhar Asnita Rahmah Juliar Astri Winda Siregar Astri Winda Siregar Astri Winda Siregar Ayub Sugara Baringin Limbong Berutu, Febrian Supriadi Laba Pardamean Burhanuddin Masy’ud Butar-Butar, Ira Asmawar Chairudin Chairudin Chairudin Chairudin Dedy Fitriandi Durrah Hayati Durrah Hayati Durrah Hayati Fikrinda Fikrinda Fikrinda Hanafi, Ilham Hayati, Durrah Ida Rosita Ilham Hanafi Insyafrizal, Insyafrizal Kamarullah Kamarullah Kamarullah Kamarullah Martunis Martunis Maryam Jamilah Maryam Jamilah Maryam Jamilah Maryam Jamilah Masy’ud, Burhanuddin Miru Ajro Love Frianos Mizan Jrohna Mona Fhitri Srena Muhammad Alsy Perdana Muslih, Ali M. Muslih, Ali Muhammad Noliza Hasrina Nurul Ashri Nurul Fajri Nurul Khumaida Nurul Khumaida Paulina Zalukhu Prasetyo, Farhan Akmal Rahmah, Hanifa Rahmayani, Aulia Ramadhan, Ariz Umar Raza Karmel, Moehammad Ediyan RITA ANDINI Ryan Moulana Saputra, Danang Agung Sri Ningrum Subhan Subhan Surya Ningsih Tuti Arlita Tuti Arlita Tuti Arlita Ulfa Hansri Ar Rasydi Ulfa Hansri Ar Rasyid Ulfa Hansri Ar Rasyid Ulfa Hansri Ar Rasyid Ulfa Hansri Ar Rasyid Umam, Arif Habibal Vera Melinda Zuhriansah, Alfi Laila