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Making biodiversity an equal partner in large-scale, multi-resource climate resilience assessment and investment

生物多様性を大規模・多資源の気候レジリエンス評価と投資において対等なパートナーとする (AI 翻訳)

Patricia Manley, Nicholas Povak

📚 査読済 / ジャーナル2026-05-23#生物多様性Origin: US
DOI: 10.5194/wbf2026-1026
原典: https://doi.org/10.5194/wbf2026-1026

🤖 gxceed AI 要約

日本語

PROMOTEモデルは、気候変動下での生態系全体の保全を評価するために、10の資源柱(生物多様性を含む)にわたる気候情報に基づく管理戦略を定量化する。米国西部への適用結果、炭素と生物多様性の保全目標は現在の分布では高い互換性があるが、将来の安定領域は異なり、現在の高価値地域の将来の安定性は低いことが示された。このモデルは政府や機関が生態系全体の保全投資を再考するためのツールを提供する。

English

The PROMOTE model quantifies climate-informed management strategies across ten resource pillars (including biodiversity) for ecosystem-wide conservation assessment. Applied to the western US, it finds that carbon and biodiversity conservation are currently compatible but their future stability areas differ, and many current high-value areas have poor future stability. The model enables holistic conservation investment prioritization.

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30by30目標や生物多様性国家戦略が進む中、生態系全体のレジリエンス評価手法は参考になる。特に、炭素貯留と生物多様性の将来の安定性が異なる点は、日本の統合的な土地利用計画や保全投資に示唆を与える。

In the global GX context

This paper introduces a multi-resource resilience modeling framework that can inform ecosystem-based adaptation and conservation investment under climate change. It aligns with global frameworks like the Kunming-Montreal Global Biodiversity Framework and provides a quantitative method to assess trade-offs and synergies between carbon and biodiversity objectives.

👥 読者別の含意

🔬研究者:The PROMOTE model offers a replicable approach for multi-resource climate resilience assessment that can be adapted to other regions.

🏢実務担当者:Conservation teams can use the Planscape software to integrate biodiversity and carbon objectives in investment planning.

🏛政策担当者:The model demonstrates that current high-value conservation areas may not persist under climate change, urging policymakers to adopt dynamic prioritization.

📄 Abstract(原文)

The fast pace of large-scale ecosystem change, precipitated by increasingly novel climate conditions, is pushing conservation investment strategies commit to time-bounded outcomes at national and global scales (e.g., 30x30 national and global initiatives). Historically, conservation investments by governments or conservation institutions had relatively narrow, resource-specific biodiversity objectives. Today, governments and institutions are grappling with ecosystem-level impacts, with the need to simultaneously evaluate risk, vulnerability, high value resources, and mitigation effectiveness across multiple resource areas and their associated ecosystem services. Data, modeling, and evaluation systems that can address ecosystem-wide resource conditions and management options in the face of climate change are greatly needed to support effective conservation investment and action.We developed a model (PROMOTE) that provides a quantitative representation of climate-informed management strategies across ten resources areas (pillars of resilience) that span and represent socio-ecological systems resilience, with biodiversity conservation being one of the pillars or resilience. The PROMOTE model uses a state-of-the-art climate analog modeling technique to generate 30-m pixel scale, resource-specific representations of future resource stability based on the combination of the magnitude of climate change and resource vulnerability for each of ten resource pillars. We applied this model across the western United States, where climate change is already threatening the persistence of most of the country’s conifer forest ecosystems. We found that carbon and biodiversity are highly compatible conservation objectives (e.g., current areas of high value align), but their areas of future resource stability differ. Furthermore, future stability of forest resilience is generally poor in many areas that are currently high value for biodiversity and carbon. We highlight how the PROMOTE modeling approach, and its companion software tool Planscape, enables governments and institutions to consider the impact of future climate on biodiversity in the context of whole-ecosystem conservation. We demonstrate that this more holistic approach to conservation assessment and investment can results in significantly different investment priorities and expected outcomes, based on their likelihood of future stability, integrity, and persistence. These considerations have substantial implications for regional, national, and global conservation initiatives.

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