Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3579-2024
https://doi.org/10.5194/nhess-24-3579-2024
Research article
 | 
23 Oct 2024
Research article |  | 23 Oct 2024

Where to start with climate-smart forest management? Climatic risk for forest-based mitigation

Natalie Piazza, Luca Malanchini, Edoardo Nevola, and Giorgio Vacchiano

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Cited articles

Agee, J. K.: The Influence of Forest Structure on Fire Behavior, in: 17th Forest Vegetation Management Conference, Redding, California, 16–18 January 1996, 52–68, https://www.fs.usda.gov/rm/pubs/rmrs_gtr292/1996_agee.pdf (last access: 10 March 2024), 1996. 
Albert, K., Annighöfer, P., Schumacher, J., and Ammer, C.: Biomass equations for seven different tree species growing in coppice-with-standards forests in Central Germany, Scand. J. Forest Res., 29, 210–221, https://doi.org/10.1080/02827581.2014.910267, 2014. 
Albrecht, A., Hanewinkel, M., Bauhus, J., and Kohnle, U.: How does silviculture affect storm damage in forests of south-western Germany? Results from empirical modeling based on long-term observations, Eur. J. For. Res., 131, 229–247, https://doi.org/10.1007/s10342-010-0432-x, 2012. 
Albrich, K., Rammer, W., Thom, D., and Seidl, R.: Trade-offs between temporal stability and level of forest ecosystem services provisioning under climate change, Ecol. Appl., 28, 1884–1896, https://doi.org/10.1002/eap.1785, 2018. 
Albrich, K., Seidl, R., Rammer, W., and Thom, D.: From sink to source: changing climate and disturbance regimes could tip the 21st century carbon balance of an unmanaged mountain forest landscape, Forestry: An International Journal of Forest Research, 96, 399–409, https://doi.org/10.1093/forestry/cpac022, 2022. 
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Short summary
Natural disturbances are projected to intensify in the future, threatening our forests and their functions such as wood production, protection against natural hazards, and carbon sequestration. By assessing risks to forests from wind and fire damage, alongside the vulnerability of carbon, it is possible to prioritize forest stands at high risk. In this study, we propose a novel methodological approach to support climate-smart forest management and inform better decision-making.
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