インドネシア東ジャワ州グレシク県沿岸域における人為的炭素排出の吸収・貯蔵のためのマングローブ必要量の推定
Estimation of mangrove requirements for the absorption and storage of anthropogenic carbon emissions in the coastal area of Gresik Regency, East Java Province, Indonesia (原題)
Sodikin, Mutiara Salsabiela, Yoga Candra Maulana
🤖 gxceed AI 要約
日本語
インドネシアのグレシク県沿岸部で、マングローブの炭素吸収・貯蔵能力を評価し、人為的排出を相殺するために必要なマングローブ面積を推定した。7つの沿岸地区で現地調査とGIS解析を行い、炭素貯留量と排出量を算出。一部地区では追加のマングローブ植林が必要と示された。
English
This study estimates the mangrove area needed to offset anthropogenic carbon emissions in Gresik Regency, Indonesia, using field surveys and GIS. It finds that certain subdistricts require additional mangrove areas to neutralize emissions, highlighting the role of mangrove restoration in regional climate mitigation.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、ブルーカーボン生態系の保全が注目されており、本研究成果は沿岸管理や気候変動対策の参考になる。ただし、地域固有のデータであり、日本の政策への直接適用は限定的。
In the global GX context
This study contributes to global understanding of blue carbon ecosystems and their role in climate mitigation. It provides empirical evidence from Indonesia, supporting international efforts to incorporate nature-based solutions into climate strategies.
👥 読者別の含意
🔬研究者:マングローブ炭素貯留の地域的推定手法とデータを提供。
🏢実務担当者:沿岸管理や炭素オフセット計画の参考になる。
🏛政策担当者:地域の気候変動緩和策におけるマングローブ保全の重要性を示す。
📄 Abstract（原文）
Because they are able to absorb and store atmospheric carbon, mangrove ecosystems help combat climate change. Nevertheless, few studies combining spatial analysis of mangrove carbon stock estimation with estimation of the mangrove area required to offset anthropogenic emissions at the subdistrict level have been conducted in rapidly developing coastal regions. This research aimed to estimate the mangrove area needed to offset anthropogenic carbon emissions in the coastal areas of Gresik Regency, East Java Province, Indonesia. Transects and 10 × 10 m plots were used for field surveys conducted in seven coastal subdistricts. DBH measurements of mangroves were fitted to species-specific allometric equations to determine biomass and carbon stocks. A 2023 Landsat image was used to map mangrove distribution with the help of geographic information system (GIS)-based spatial analyses. Anthropogenic emissions were estimated based on available data for transport, livestock and poultry, liquefied petroleum gas (LPG) consumption, and electricity. The results showed that Gresik Subdistrict had the highest total emissions, at 6,795.91 t CO 2 -eq yr -1 , and Ujungpangkah Subdistrict had the highest carbon stock value, at 264,803.16 t C. Spatial analysis showed that Kebomas, Panceng, and Gresik subdistricts needed additional mangrove areas of 52.07 ha, 50.21 ha, and 57.10 ha, respectively, to neutralize emissions under their current emission conditions. These results highlight the need for mangrove restoration as a crucial element of effective regional climate change mitigation and, thus, sustainable coastal management.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3897/biorisk.24.189492first seen 2026-08-27 04:56:06
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