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

Related authors

Multiscale analysis of surface roughness for the improvement of natural hazard modelling
Natalie Brožová, Tommaso Baggio, Vincenzo D'Agostino, Yves Bühler, and Peter Bebi
Nat. Hazards Earth Syst. Sci., 21, 3539–3562, https://doi.org/10.5194/nhess-21-3539-2021,https://doi.org/10.5194/nhess-21-3539-2021, 2021
Short summary
MACHINE LEARNING FOR CLASSIFICATION OF AN ERODING SCARP SURFACE USING TERRESTRIAL PHOTOGRAMMETRY WITH NIR AND RGB IMAGERY
H. Bernsteiner, N. Brožová, I. Eischeid, A. Hamer, S. Haselberger, M. Huber, A. Kollert, T. M. Vandyk, and F. Pirotti
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 431–437, https://doi.org/10.5194/isprs-annals-V-3-2020-431-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-431-2020, 2020

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Dynamic response of pile–slab retaining wall structure under rockfall impact
Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
Nat. Hazards Earth Syst. Sci., 24, 3497–3517, https://doi.org/10.5194/nhess-24-3497-2024,https://doi.org/10.5194/nhess-24-3497-2024, 2024
Short summary
Urban growth and spatial segregation increase disaster risk: lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
Cassiano Bastos Moroz and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 3299–3314, https://doi.org/10.5194/nhess-24-3299-2024,https://doi.org/10.5194/nhess-24-3299-2024, 2024
Short summary
An impact-chain-based exploration of multi-hazard vulnerability dynamics: the multi-hazard of floods and the COVID-19 pandemic in Romania
Andra-Cosmina Albulescu and Iuliana Armaș
Nat. Hazards Earth Syst. Sci., 24, 2895–2922, https://doi.org/10.5194/nhess-24-2895-2024,https://doi.org/10.5194/nhess-24-2895-2024, 2024
Short summary
Always on my mind: indications of post-traumatic stress disorder among those affected by the 2021 flood event in the Ahr valley, Germany
Marie-Luise Zenker, Philip Bubeck, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 2837–2856, https://doi.org/10.5194/nhess-24-2837-2024,https://doi.org/10.5194/nhess-24-2837-2024, 2024
Short summary
Earthquake insurance in Iran: solvency of local insurers in light of current market practices
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci., 24, 2707–2726, https://doi.org/10.5194/nhess-24-2707-2024,https://doi.org/10.5194/nhess-24-2707-2024, 2024
Short summary

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. 
Download
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.
Altmetrics
Final-revised paper
Preprint