{
  "abstract": "Key messageClimate change narrows viable management alternatives in the Landes de Gascogne Forest. By testing a wide range of management regimes under contrasting climate and risk scenarios, we show that the capacity of timber damage varies across the landscape. Identifying where flexible, low-risk regimes can still sustain carbon sequestration helps decision-makers select robust strategies that reconcile local limits with regional planning needs.ContextRegional forest management integrates diverse forest types and objectives, yet the impacts of climate change at sub-regional scales and identifying suitable management regimes for mitigation require further investigation.AimsWe align regional strategies with site-specific constraints by assessing how maritime pine (Pinus pinaster Ait.) management in the Landes de Gascogne Forest can reconcile local climatic limitations with regional production goals. We aim to identify local management flexibility and quantify the resulting trade-offs with regional carbon sequestration and carbon export under contrasted scenarios.MethodsOur cross-scale framework integrated 8×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\times$$\\end{document}8 km climate projections with process-based forest simulations. Using multi-objective optimization, we explored how the set of feasible management alternatives changes across space under different climate scenarios and disturbance risks.ResultsClimate change consistently reduced service provision supply across scenarios. Under the most worst-case scenario, regional outcomes depended on the ability of local management regimes to mitigate risk, up to thresholds beyond which no current regimes remained viable. Climate effects amplified spatial disparities, reinforcing productivity in the southwest while increasing water limitations in eastern areas. Sub-regional flexibility emerged as a key lever to buffer losses in carbon-related services.ConclusionThis framework links local decision-making capacity with regional constraints, supporting adaptive, climate-informed forest planning.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "Clémence Labarre"
    },
    {
      "name": "Babooshka Shavazipour"
    },
    {
      "name": "Denis Loustau"
    },
    {
      "name": "Jean-Christophe Domec"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3xckhrz4c7mnj.bib",
  "cited_by": 0,
  "doi": "10.1186/s13595-026-01355-5",
  "fulltext_url": null,
  "id": "3xckhrz4c7mnj",
  "issns": [
    "1286-4560",
    "1297-966X"
  ],
  "landing_url": "https://hal.science/hal-05731876v1",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "openalex",
      "2306|Forest Management and Policy"
    ]
  ],
  "openalex": "W4417479257",
  "pdf_url": "https://hal.science/hal-05731876/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-31",
  "publisher": "Springer Nature (since 2011)/EDP Science (until 2010)",
  "ris": "https://research.draconitic.com/paper/3xckhrz4c7mnj.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:21Z",
      "native_id": "hal-05731876",
      "source": "hal",
      "url": "https://hal.science/hal-05731876v1"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:2306|Forest Management and Policy",
      "subfield": "climate"
    }
  ],
  "title": "Bridging local decisions and regional forest strategies under climate risks: a flexibility-based optimization framework",
  "title_text": "Bridging local decisions and regional forest strategies under climate risks: a flexibility-based optimization framework",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:21Z",
  "url": "https://research.draconitic.com/paper/3xckhrz4c7mnj",
  "venue": "Annals of Forest Science",
  "versions": []
}