中国雲南省における水収量、土砂保持、炭素貯留の相乗効果とトレードオフの評価
Assessing synergies and trade-offs among water yield, sediment retention, and carbon storage in Yunnan Province, China (原題)
Yunning Kong, Chiyuan Miao, Xiaoyong Bai, Xi Cheng, Jiajia Su, Jinlong Hu
🤖 gxceed AI 要約
日本語
中国雲南省を対象に、InVESTモデルを用いて1980〜2022年の水収量・土砂保持・炭素貯留の時空間動態を定量化した。3サービス間は主に相乗関係だが、水収量と土砂保持はトレードオフを示す。降水・土地被覆が主要な駆動要因で、生態系サービス機能のゾーニングを提示した。
English
Using the InVEST model, this study quantified water yield, sediment retention, and carbon storage in Yunnan Province, China (1980-2022), analyzing their trade-offs and synergies. Synergies dominated except for a water yield-sediment retention trade-off. Precipitation and land cover were key drivers, and the authors developed ecosystem service functional zoning.
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
炭素貯留を含む生態系サービス評価は、自然資本・生物多様性開示（TNFD）や自治体の脱炭素計画に関連する。日本企業・自治体が地域の炭素吸収源評価や土地利用政策を検討する際の方法論的参考になりうる。
In the global GX context
This work sits at the intersection of ecosystem service assessment and carbon accounting, relevant to emerging nature-related disclosure frameworks (TNFD) and land-use-based carbon removal. It offers a methodological template for quantifying synergies and trade-offs among water, sediment, and carbon services, though its direct link to corporate climate disclosure is indirect.
👥 読者別の含意
🔬研究者:生態系サービス間の相互作用を定量化するInVESTベースの枠組みと、駆動要因分析の手法が参考になる。
🏢実務担当者:自然資本・生物多様性の評価やTNFD対応を検討する企業にとって、地域レベルの炭素・水・土砂サービスの定量手法が示唆を与える。
🏛政策担当者:地域の生態系保全と炭素吸収源管理を統合したゾーニング政策の設計に活用できる。
📄 Abstract（原文）
Understanding the spatiotemporal dynamics and interactions of ecosystem services (ES) is critical for regional ecological governance. Taking Yunnan Province, a key ecological barrier in southwestern China, this study quantified water yield (WY), sediment retention (SR), and carbon storage (CS) from 1980 to 2022 using the InVEST model, analyzed their trade-offs and synergies, identified driving factors, and developed ES functional zoning. Results showed that CS and SR exhibited fluctuating upward trends, while WY declined after an early 1980s peak. High-value zones of all three services concentrated in western alpine valleys and southern border regions. In terms of total service volume, the Southwest International Rivers Basin contributed over 68% of WY and 71% of SR, and forests supplied approximately 80% of CS and 84% of SR. Synergies dominated among services, except for the trade-off relationship between WY and SR. Driving factor analysis revealed that precipitation and land cover jointly explained WY variation (both q = 0.28), land cover showed dominant explanatory power for CS (q = 0.67), and the interaction between precipitation and soil type strongly explained SR variation (q = 0.54). In terms of spatial area, the All-high synergy zone covered 22.5% of the province, while the High CS zone represented the most dominant type (36.3%). These findings provide scientific references for local ecological conservation and sustainable development, while offering a methodological framework for similar studies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.jenvman.2026.130962first seen 2026-09-28 05:19:09
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