AtlantECO Deliverable - D08.3 - Spatial maps of predicted OHI changes under different scenarios
アトランテコ成果物 D08.3 - 異なるシナリオ下での予測OHI変化の空間マップ (AI 翻訳)
Gillian B. Ainsworth, Germain Bénard, Francesco Bosello, Donata Melaku Canu, Elisa Delpiazzo, Jacobo Feás, Thomas L. Frölicher, Marion Gehlen, R.M. Key, Simone Libralato, Katherine C. Longo, Marco Reale, Jonathan Rogerson, Gabriele Standardi, Alessandro Tagliabue, Marcello Vichi, S. Villasante, Mathieu Vrac, Serena Zunino
🤖 gxceed AI 要約
日本語
本成果は、将来の気候・社会経済シナリオに基づく海洋健全性指標(OHI)の空間マップを提供し、食料供給、生物多様性、沿岸生計などの目標に対する変化を予測する。気候予測と社会経済データを統合し、海洋空間計画や持続可能性評価に活用される。
English
This deliverable provides spatial maps of predicted Ocean Health Index (OHI) changes under different scenarios, focusing on food provision, biodiversity, and artisanal opportunities. It combines climate projections and socio-economic data to support marine spatial planning and sustainability assessments.
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
日本は海洋国家だが、本論文は大西洋を対象としているため直接的な日本GX文脈への適用は限られる。ただし、気候変動下での生態系サービス評価の枠組みは、日本の海洋管理やブルーカーボン戦略の参考になりうる。
In the global GX context
This work contributes to understanding climate impacts on ocean ecosystem services, relevant for nature-based solutions and blue carbon initiatives within global sustainability frameworks. It offers a spatial approach that can inform marine spatial planning and climate adaptation policies.
👥 読者別の含意
🔬研究者:Researchers working on marine ecosystem services and climate scenario analysis can use the spatial OHI maps for validation and further modeling.
🏢実務担当者:Marine spatial planners and environmental consultants can apply the OHI maps to assess sustainability of ocean uses under climate change.
🏛政策担当者:Policymakers involved in ocean governance and climate adaptation can use these insights to inform marine protected areas and blue carbon strategies.
📄 Abstract(原文)
The Work Package 8 (WP8) of the AtlantECO project focuses on anticipating future changes in basin-scale Atlantic ecosystem services in response to environmental and socio-economic drivers. In alignment with AtlantECO's Objective 4, WP8 aims to deliver a systemic approach to support science-informed decision-making through scenario development, predictive modeling, and integrated analyses of ecosystem health and services. WP8 combines climate projections, biogeochemical models, and socio-economic analysis to evaluate risks of tipping points, regime shifts, and changes in provisioning, supporting, and regulating services such as carbon sequestration, nutrient recycling, and primary production. A significant portion of the results was already achieved prior to the official deadline and presented in previous interim reports an deliverables. However, as this is the final report, these results will be revisited and summarized in the relevant sections to ensure completeness and coherence. WP8 is structured around four main deliverables, each addressing a critical aspect of the prediction and evaluation of ecosystem services under future climate and socio-economic scenarios. Here we present the deliverable D8.3 : Spatial maps of predicted Ocean Health Index (OHI) changes under different scenarios. This deliverable applies projected environmental and socio-economic data layers to recalculate the OHI metrics. Emphasis is placed on scenario-based variation in goals such as food provision, biodiversity, and artisanal opportunities. The spatial outputs will serve as key tools for marine spatial planning and sustainability assessments.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.19576932first seen 2026-05-05 19:13:39
🔔 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。