中国天然林保護工程による生物多様性保全と気候緩和の共便益
Biodiversity protection and climate mitigation co-benefits of China’s Natural Forest Protection Project (原題)
Quanlong Wu, Jinyan Zhan, Hailin Zhang, Ali Raza Otho, Zheng Yang, Yuhan Cao, Qidi Wang
🤖 gxceed AI 要約
日本語
中国の天然林保護工程が炭素隔離と生物多様性の双方を大部分の地域で高めることを統合評価フレームで示した研究。XGBoostとSHAP分析により森林被覆・土壌深度・降水量が主要因で非線形な寄与を示し、森林被覆約25%・年降水量約300mmで寄与が負から正へ転じる。地域別の優先区域と管理指標を提示し、大規模生態政策の精密管理に資する。
English
An integrated framework assesses co-benefits of China's Natural Forest Protection Project, finding broad gains in both carbon sequestration and biodiversity. XGBoost with SHAP reveals forest cover, soil depth, and precipitation as key nonlinear drivers, with contribution turning positive near 25% forest cover and 300 mm precipitation. It maps priority zones and drivers to guide targeted, spatially differentiated forest governance.
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
日本企業・自治体にとっては、自然資本・生物多様性と炭素隔離を同時評価するNbSの定量手法として、TNFD対応や森林クレジットの根拠づくりに示唆を与える。SSBJ開示における自然関連リスク評価の参考になる。
In the global GX context
As TNFD and nature-related disclosure gain traction alongside climate frameworks, this offers a replicable method for quantifying biodiversity–carbon co-benefits of nature-based policy, informing how disclosure regimes can treat nature and climate jointly rather than in silos.
👥 読者別の含意
🔬研究者:大規模生態政策の気候・生物多様性共便益を空間的に評価する統合手法とML駆動の要因分解の実例として参考になる。
🏢実務担当者:TNFDや自然資本評価において、森林由来の炭素・生物多様性共便益を定量化する際の指標設計に活用できる。
🏛政策担当者:生態保全政策の地域別ターゲティングと閾値（森林被覆・降水量）を踏まえた差別化ガバナンス設計の根拠を提供する。
📄 Abstract（原文）
The escalating crises of climate change and biodiversity loss represent paramount challenges in global environmental governance. The Natural Forest Protection Project, a nature-based solution, represents a pivotal strategy for addressing this dual imperative. However, existing studies have largely focused on single ecological outcomes, leaving climate mitigation–biodiversity conservation co-benefits and their spatial differences insufficiently understood. Here, we developed an integrated assessment framework to evaluate the co-benefits of China’s Natural Forest Protection Project and to identify their spatial heterogeneity, dominant drivers, and implications for differentiated governance. Our findings indicate that the Natural Forest Protection Project broadly increased both carbon sequestration and biodiversity across most regions. The analysis combining extreme gradient boosting with Shapley additive explanations further indicated that forest cover, soil depth, and precipitation were key drivers with nonlinear contribution patterns. Forest cover and annual precipitation showed clear contribution shifts in the fitted model. Their contributions to predicted co-benefits turned from negative to positive at approximately 25 % forest cover and 300 mm of annual precipitation, respectively. Leveraging the distinct landscape characteristics of each identified zone, we delineated priority areas and critical drivers for future targeted management. This research provides a robust methodological framework for evaluating the integrated outcomes of large-scale ecological policies and offers actionable guidance for the precision management and spatial optimization of natural forest conservation efforts.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.geosus.2026.100565first seen 2026-10-30 05:07:10 · last seen 2026-11-06 05:03:33
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