Priority setting of India’s blue carbon ecosystems as nature-based solutions for climate, people and biodiversity
インドのブルーカーボン生態系の優先順位設定：気候、人々、生物多様性のための自然に基づく解決策として (AI 翻訳)
William E. N. Austin, V.V. Kumar, Minal Pathak, Shrutika Parihar, Alex Houston, Elina Apine, Thomas Worthington, Kapilkumar N. Ingle, Balaji Prasath Barathan, D P Behera, Shaurya Patel, Srutisri Sundaram, Kanika Bajaj, Navya Vijay, S. R. Marigoudar, Kumaraswami Munnoor, Shreestuti Khare, Pragnesh N. Dave, Akhilesh Vijay, Deepa Gavali +8
🤖 gxceed AI 要約
日本語
本論文は、2024年1月にインド・グジャラート州で開催されたワークショップに基づき、インドのブルーカーボン生態系（マングローブ、海草、塩性湿地）に関する10の優先課題を特定した。気候変動緩和・適応、生物多様性、地域社会への利益を考慮し、標準化された方法と長期モニタリングを含む5段階のロードマップを提示する。インドの国が決定する貢献（NDC）への統合や、国連持続可能な開発目標への貢献を目指す。
English
This paper identifies 10 priority areas for blue carbon ecosystem (mangroves, seagrasses, saltmarshes) science and policy in India, based on a consultative workshop in Gujarat in 2024. It outlines a five-step roadmap for developing a national program, emphasizing standardized methods, long-term monitoring, and co-benefits for climate adaptation, biodiversity, and livelihoods. The study aims to integrate blue carbon into India's NDCs and contribute to global climate and biodiversity goals.
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、東京湾などでブルーカーボンへの関心が高まっている。本論文は、インドの事例を通じて、ブルーカーボン生態系をNDCや国家政策に統合するための枠組みを示しており、日本のカーボンニュートラル目標や生物多様性保全にも示唆を与える。
In the global GX context
Globally, this paper offers a replicable framework for incorporating blue carbon ecosystems into NDCs and national adaptation plans, aligning with IPCC guidelines, the Kunming-Montreal Global Biodiversity Framework, and UN SDGs. It highlights the need for standardized data collection and monitoring, which is relevant for many coastal nations developing nature-based climate solutions.
👥 読者別の含意
🔬研究者:Identifies key research gaps and priority themes for blue carbon science, especially in data-sparse regions like India.
🏢実務担当者:Provides a structured roadmap for designing and implementing national blue carbon programs, including monitoring and community engagement.
🏛政策担当者:Offers guidance on integrating blue carbon into NDCs and national adaptation plans, highlighting co-benefits for climate, biodiversity, and people.
📄 Abstract（原文）
Abstract India’s extensive coastline supports all three recognized blue carbon ecosystems (BCEs): mangroves, seagrasses and saltmarshes, with limited spatial and long-term data on seagrasses and saltmarshes. Under the guidance of the Intergovernmental Panel for Climate Change (IPCC), BCEs can be included for their climate change mitigation capacity under nationally determined contributions (NDCs). These coastal ecosystems also play a vital role in climate change adaptation, providing multiple co-benefits. There is further scope for their inclusion in National Adaptation Plans, the United Nations Sustainable Development Goals and the Kunming-Montreal Global Biodiversity Framework. This study presents 10 priority areas for blue carbon science and policy development in India, identified from a consultative workshop held in Gujarat, India in January 2024. The priority themes that emerged included—data on BCEs extent and stocks across India, establishment of long-term monitoring programmes, assessment of BCEs co-benefits and creation of programmes for capacity building, alternative livelihoods and equitable conservation and restoration. Based on these priorities, a five-step blue carbon roadmap is outlined to support the development of an ambitious national programme for BCEs. Standardized methods and scientific approaches will ensure India’s ongoing efforts to protect and restore these vulnerable coastal habitats. This will contribute significantly to realizing the global benefits of BCEs for climate, people and nature.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1098/rsos.252380first seen 2026-06-27 04:56:10
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。