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From theory to practice. A shiny R app for Climate-Smart Forestry Assessment
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DOI：10.1016/j.envsoft.2026.107073.png)
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Abstract
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• The web-app automatically combines indicators to assess Climate-Smart Forestry • Local-case functionality supports management decisions via scenario exploration • Cross-regional analyses reveal spatial and temporal patterns in CSF performance • The approach ensures standardized, transparent, and reproducible CSF evaluations • Software and data availability • Software name: Climate-Smart Forestry Assessment Tool (CSF-AT) • Developers: Diana Alfieri [aut, cre], Iride Volpi [aut], Diego Guidotti [aut] • Contact information: d.alfieri@studenti.unimol.it • First Year available: 2026 • Hardware requirements: Internet-connected PC/Mac • Software requirements: Web browser; for the R package version: R base installation • Program language: R version 4.4.1 • Program file size: 39 kb • Availability: code, documentation, and test data available at: https://github.com/ForestryLab/CSF-AT • Shiny app website: https://ricercaforestale-unimol.shinyapps.io/CSF-AT/
Keywords:
climate-smart forestry
decision-support tools
indicator
forest monitoring
digital application
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