気候変動下で世界の草地生産性と炭素貯留は機能的多様性から恩恵を受ける
Global grassland productivity and carbon storage benefit from functional diversity under climate change (原題)
Stephen Björn Wirth, Christoph Müller, F. Taube, Jens Heinke, Britta Tietjen, Susanne Rolinski
🤖 gxceed AI 要約
日本語
LPJmL-CSRモデルを用い、管理草地の総一次生産（GPP）と土壌有機炭素（SOC）に対する機能的多様性の役割を世界規模で評価した研究。機能的多様性は中程度の気候変動下でもGPPとSOCに重要であり、多様性の大幅な喪失は気候変動への適応を妨げ、GPPとSOCの損失を招く。機能的多様性の向上が草地生産性の維持に不可欠であり、それを支える管理慣行の必要性を示す。
English
Using the LPJmL-CSR model, this study assesses at global scale how functional diversity affects gross primary productivity (GPP) and soil organic carbon (SOC) in managed grasslands under climate change. Functional diversity matters for GPP and SOC already under moderate warming, while strong diversity loss blocks adaptation and causes losses. Enhancing functional diversity appears crucial for sustaining grassland productivity, supporting management practices that protect it.
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
生物多様性と炭素貯留の関係を示す基礎研究であり、TNFDや自然資本関連開示を検討する日本企業にとって、草地・農畜産サプライチェーンの自然資本リスク評価の背景知識として参考になる。SSBJ開示への直接的接続は弱い。
In the global GX context
Adds to the scientific basis linking biodiversity and carbon storage, relevant to TNFD/nature-related disclosure and to land-sector carbon accounting under ISSB and CSRD. It supports the framing of functional diversity as climate insurance in nature-related risk assessment.
👥 読者別の含意
🔬研究者:全球スケールで機能的多様性と炭素・生産性の関係をモデル化した手法は、自然資本・生態系サービスの定量評価研究に応用できる。
🏢実務担当者:農畜産・食品関連のサプライチェーンで自然資本リスクを評価する際、草地管理と生物多様性の関連を示す根拠として参照できる。
🏛政策担当者:草地管理政策や生物多様性保全策を炭素貯留・気候適応の観点から正当化する科学的裏付けとして活用できる。
📄 Abstract（原文）
Functional diversity plays an important role for ecosystem services of managed grasslands such as their gross primary productivity (GPP) and soil organic carbon (SOC) stocks. Yet vegetation models assessing functional diversity have been limited to small spatial scales. We used the Lund-Potsdam-Jena managed land (LPJmL) competitor stress-tolerant ruderal (CSR) model to assess the role of functional diversity for managed grassland GPP and SOC under climate change at the global scale. LPJmL-CSR simulates functional diversity using plant functional types representing different ecological strategies based on functional traits connected to CSR strategies. Our simulation experiments assumed low and high functional diversity levels and moderate and strong climate change scenarios. Results show that functional diversity plays an important role for GPP and SOC stocks already under moderate climate change. Strong loss of functional diversity prohibits communities' adaptation to climate change, resulting in loss of GPP and SOC. Spatial patterns of GPP and SOC stocks show substantial differences between the low and high functional diversity scenarios dependent on regional conditions. These results are consistent with empirical findings and support the importance of functional diversity as insurance against climate change. The results of our global-scale model assessment show that enhancing functional diversity could be crucial for maintaining grassland productivity and thus human well-being under global change. In combination with empirical findings, they underpin the need for management practices that support functional diversity of managed grasslands.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1073/pnas.2528067123first seen 2026-10-27 04:43:06 · last seen 2026-11-06 04:34:35
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