Carbon Storage Variation and Determinants Across the Different Land-Use Systems in Dibru-Saikhowa National Park, Assam, India
インド、アッサム州ディブル・サイコワ国立公園における土地利用システム別の炭素貯留量の変動と決定要因 (AI 翻訳)
Dinesh Kumar Meena, Ajay Kumar, Dhruba Jyoti Das, Kambam Boxen Meetei
🤖 gxceed AI 要約
日本語
インドのディブル・サイコワ国立公園を対象に、土地利用タイプ別のバイオマス炭素貯留量を比較し、その決定要因を分析した。森林や植林地は農地や草地より高い炭素貯留を示し、樹木密度や種の豊富さと強く相関した。REDD+や国家森林インベントリへの示唆を提供する。
English
This study compares biomass carbon storage across land-use types in Dibru-Saikhowa National Park, India, and identifies key determinants. Forests and plantations store significantly more carbon than agricultural land and grassland, with strong correlations to tree density and species richness. Findings support REDD+ programs and national forest inventories.
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、森林吸収源の評価やJ-クレジット制度における炭素貯留量の算定方法に関連する。インドの事例ではあるが、土地利用変化に伴う炭素貯留の実証データは、日本の森林管理やカーボンクレジットの設計に参考となる。
In the global GX context
This study provides empirical evidence on carbon storage in tropical forests, relevant to global climate mitigation efforts under the Paris Agreement and REDD+. It underscores the importance of preserving high-carbon land-use types, which can inform national GHG inventories and land-use policies.
👥 読者別の含意
🔬研究者:Provides empirical data on carbon storage determinants in tropical forests, useful for carbon modeling and land-use studies.
🏢実務担当者:May inform land management and carbon offset project planning, though applicability outside India is limited.
🏛政策担当者:Highlights the carbon benefits of forest conservation, supporting REDD+ and national climate strategies.
📄 Abstract（原文）
Tropical forests play a crucial role in capturing atmospheric carbon emissions. This study investigates the differences in biomass carbon across land-use categories and determines the key determinants of carbon storage in Dibru-Saikhowa National Park (DSNP). The park is situated in the upper flat alluvial floodplain of the Brahmaputra River in Assam, India, and it is a part of the Indo-Burma global biodiversity hotspot. A total of 60 species belonging to 47 genera and 31 families were reported. The significant difference was observed in mean carbon stock among the different land‑use systems of DSNP, following this order: river sand (5.75) <agricultural land (17.07 Mg/ha) <grassland (26.92 Mg/ ha) <deciduous forests (71.04 Mg/ha) <semi-evergreen forests (77.59 Mg/ha) <plantation (130.36 Mg/ha). Carbon stocks reveal strong correlations with forest attributes such as tree density and species richness. The findings of the study show that DSNP exhibits significant species diversity and carbon stocks, indicating its potential for successful carbon storage and biodiversity conservation. These findings provide crucial insights for SDG 13: Climate Action, REDD & REDD+ programs and national forest inventories, emphasizing the importance of maintaining key species for carbon storage and advocating for long-term monitoring of carbon stocks.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1080/10549811.2026.2699701first seen 2026-08-05 04:44:33
🔔 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。