Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3579-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-3579-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Where to start with climate-smart forest management? Climatic risk for forest-based mitigation
Department of Agricultural and Environmental Sciences, University of Milan, Milan, 20133, Italy
Luca Malanchini
Department of Agricultural and Environmental Sciences, University of Milan, Milan, 20133, Italy
Edoardo Nevola
World Wildlife Fund for Nature, Rome, 00198, Italy
Giorgio Vacchiano
Department of Agricultural and Environmental Sciences, University of Milan, Milan, 20133, Italy
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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.
ARPA FVG: https://www.meteo.fvg.it/clima.php?ln=, last access: 4 September 2024.
Ascoli, D., Vacchiano, G., Scarpa, C., Arca, B., Barbati, A., Battipaglia, G., Elia, M., Esposito, A., Garf, V., Lovreglio, R., Mairota, P., Marchetti, M., Marchi, E., Meytre, S., Ottaviano, M., Pellizzaro, G., Rizzolo, R., Sallustio, L., Salis, M., Sirca, C., Valese, E., Ventura, A., and Bacciu, V.: Harmonized dataset of surface fuels under Alpine, temperate and Mediterranean conditions in Italy. A synthesis supporting fire management, IForest, 513–522, https://doi.org/10.3832/ifor3587-013, 2020.
Benali, A., Sá, A. C. L., Pinho, J., Fernandes, P. M., and Pereira, J. M. C.: Understanding the impact of different landscape-level fuel management strategies on wildfire hazard in central Portugal, Forests, 12, 1–24, https://doi.org/10.3390/f12050522, 2021.
Bianchi, L., Paci, M., and Bresciani, A. R.: Effects of thinning intensities in experimental plots of Black European pine in “Foreste Casentinesi, Monte Falterona and Campigna National Park” (Tosco-Romagnolo Apennine, Italy), eight years after the felling, Forest – Journal of Silviculture and Forest Ecology, 7, 73–83, https://doi.org/10.3832/efor0616-007, 2010.
Bovio, G. and Ascoli, D.: Introduzione al fuoco prescritto, in: La tecnica del fuoco prescritto, edited by: Aracne editrice, Roma, 1–30, ISBN 9788854863057, 2013.
Brown, J. K.: Handbook for inventorying downed woody material, Ogden, 24 pp., https://research.fs.usda.gov/treesearch/28647 (last access: 10 March 2024), 1974.
Brown, J. K., Oberheu, R. D., and Johnston, C. M.: Handbook for Inventorying Surface Fuels and Biomass in the Interior West, Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experimental Station, https://doi.org/10.2737/INT-GTR-129, 1982.
Brožová, N., Fischer, J. T., Bühler, Y., Bartelt, P., and Bebi, P.: Determining forest parameters for avalanche simulation using remote sensing data, Cold Reg. Sci. Technol., 172, 102976, https://doi.org/10.1016/J.COLDREGIONS.2019.102976, 2020.
Brožová, N., Baggio, T., D'Agostino, V., Bühler, Y., and Bebi, P.: Multiscale analysis of surface roughness for the improvement of natural hazard modelling, Nat. Hazards Earth Syst. Sci., 21, 3539–3562, https://doi.org/10.5194/nhess-21-3539-2021, 2021.
Collalti, A., Trotta, C., Keenan, T. F., Ibrom, A., Bond-Lamberty, B., Grote, R., Vicca, S., Reyer, C. P. O., Migliavacca, M., Veroustraete, F., Anav, A., Campioli, M., Scoccimarro, E., Šigut, L., Grieco, E., Cescatti, A., and Matteucci, G.: Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate, J. Adv. Model. Earth Sy., 10, 2427–2452, https://doi.org/10.1029/2018MS001275, 2018.
Collins, L., Bradstock, R. A., Clarke, H., Clarke, M. F., Nolan, R. H., and Penman, T. D.: The 2019/2020 mega-fires exposed Australian ecosystems to an unprecedented extent of high-severity fire, Environ. Res. Lett., 16, 044029, https://doi.org/10.1088/1748-9326/abeb9e, 2021.
De Crignis, A.: Piano di Gestione Forestale “Proprietà regionale di Fusine” 2021–2035 [Forest management plans “Regional property of Fusine” 2021–2035], 160 pp., 2020.
Cybis Elektronik & Data AB: CDendro and CooRecorder, Cybis Elektronik & Data AB CooRecorder and Cdendro Programs of the Coorecorder/Cdendropackage [code], https://www.cybis.se/forfun/dendro/ (last access: 10 March 2024), 2013.
Dale, V. H., Joyce, L. A., McNulty, S., Neilson, R. P., Ayres, M. P., Flannigan, M. D., Hanson, P. J., Irland, L. C., Lugo, A. E., Peterson, C. J., Simberloff, D., Swanson, F. J., Stocks, B. J., and Wotton, B. M.: Climate Change and Forest Disturbances: Climate change can affect forests by altering the frequency, intensity, duration, and timing of fire, drought, introduced species, insect and pathogen outbreaks, hurricanes, windstorms, ice storms, or landslides, Bioscience, 51, 723–734, https://doi.org/10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2, 2001.
Erkan, N., Güner, Ş. T., and Aydın, A. C.: Thinning effects on stand growth, carbon stocks, and soil properties in Brutia pine plantations, Carbon Balance Manag, 18, 1–10, https://doi.org/10.1186/s13021-023-00226-0, 2023.
European Environment Agency: Tree Cover Density 2018, https://doi.org/10.2909/486f77da-d605-423e-93a9-680760ab6791, 2020.
Evans, M. R., Moustakas, A., Carey, G., Malhi, Y., Butt, N., Benham, S., Pallett, D., and Schäfer, S.: Allometry and growth of eight tree taxa in United Kingdom woodlands, Sci. Data, 2, 150006, https://doi.org/10.1038/sdata.2015.6, 2015.
Federici, S., Vitullo, M., Tulipano, S., Lauretis, R. De, and Seufert, G.: An approach to estimate carbon stocks change in forest carbon pools under the UNFCCC: the Italian case, IForest, 86–95, https://doi.org/10.3832/ifor0457-0010086, 2008.
Finney, M. A.: An Overview of FlamMap Fire Modeling Capabilities, in: Fuels Management-How to Measure Success: Conference Proceedings, edited by: Andrews, P. L., Butler, B. W., and comps, RMRS-P-41. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Portland, OR, 213–220, https://research.fs.usda.gov/treesearch/25948 (last access: 10 March 2024), 2006.
Górriz-Mifsud, E., Ameztegui, A., González, J. R., and Trasobares, A.: Climate-Smart Forestry Case Study: Spain, 211–228, https://doi.org/10.1007/978-3-030-99206-4_13, 2022.
Gregor, K., Knoke, T., Krause, A., Reyer, C. P. O., Lindeskog, M., Papastefanou, P., Smith, B., Lansø, A.-S., and Rammig, A.: Trade-Offs for Climate-Smart Forestry in Europe Under Uncertain Future Climate, Earths Future, 10, e2022EF002796, https://doi.org/10.1029/2022EF002796, 2022.
Griscom, B. W., Adams, J., Ellis, P. W., Houghton, R. A., Lomax, G., Miteva, D. A., Schlesinger, W. H., Shoch, D., Siikamäki, J. V., Smith, P., Woodbury, P., Zganjar, C., Blackman, A., Campari, J., Conant, R. T., Delgado, C., Elias, P., Gopalakrishna, T., Hamsik, M. R., Herrero, M., Kiesecker, J., Landis, E., Laestadius, L., Leavitt, S. M., Minnemeyer, S., Polasky, S., Potapov, P., Putz, F. E., Sanderman, J., Silvius, M., Wollenberg, E., and Fargione, J.: Natural climate solutions, P. Natl. Acad. Sci. USA, 114, 11645–11650, https://doi.org/10.1073/pnas.1710465114, 2017.
Grünig, M., Seidl, R., and Senf, C.: Increasing aridity causes larger and more severe forest fires across Europe, Glob. Change Biol., 29, 1648–1659, https://doi.org/10.1111/gcb.16547, 2023.
Hanewinkel, M., Albrecht, A., Schmidt, M., Gardiner, B., Schuck, A., Schelhaas, M.-J., Orazio, C., Blennow, K., and Nicoll, B.: Influence of stand characteristics and landscape structure on wind damage, EFI – What Science can tell us, 39–45, https://www.nw-fva.de/fileadmin/nwfva/publikationen/pdf/hanewinkel_2013_influence_of_stand.pdf (last access: 10 March 2024), 2013.
Harris, N. L., Gibbs, D. A., Baccini, A., Birdsey, R. A., de Bruin, S., Farina, M., Fatoyinbo, L., Hansen, M. C., Herold, M., Houghton, R. A., Potapov, P. V., Suarez, D. R., Roman-Cuesta, R. M., Saatchi, S. S., Slay, C. M., Turubanova, S. A., and Tyukavina, A.: Global maps of twenty-first century forest carbon fluxes, Nat. Clim. Change, 11, 234–240, https://doi.org/10.1038/s41558-020-00976-6, 2021.
Hart, E., Sim, K., Kamimura, K., Meredieu, C., Guyon, D., and Gardiner, B.: Use of machine learning techniques to model wind damage to forests, Agr. Forest Meteorol., 265, 16–29, https://doi.org/10.1016/j.agrformet.2018.10.022, 2019.
Jenkins, J. C., Chojnacky, D. C., Heath, L. S., and Birdsey, R. A.: Comprehensive database of diameter-based biomass regressions for North American tree species, U.S. Department of Agriculture, Forest Service, Northeastern Research Station, https://doi.org/10.2737/ne-gtr-319, 2004.
Kahraman, A., Kendon, E. J., Chan, S. C., and Fowler, H. J.: Quasi-Stationary Intense Rainstorms Spread Across Europe Under Climate Change, Geophys. Res. Lett., 48, e2020GL092361, https://doi.org/10.1029/2020GL092361, 2021.
Kauppi, P., Hanewinkel, M., Lundmark, T., Hetemäki, L., Peltola, H., and Trasobares, A.: Climate Smart Forestry in Europe, European Forest Institute, ISBN 978-952-5980-67-7, 2018.
Kim, M., Lee, W.-K., Kim, Y.-S., Lim, C.-H., Song, C., Park, T., Son, Y., and Son, Y.-M.: Impact of thinning intensity on the diameter and height growth of Larix kaempferi stands in central Korea, Forest Sci. Technol., 12, 77–87, https://doi.org/10.1080/21580103.2015.1075435, 2016.
L'Abate, G., Costantini, E., Roberto, B., Fantappiè, M., Lorenzetti, R., and Magini, S.: Carta dei Suoli d'Italia 1:1 000 000 (Soil map of Italy, scale 1:1 000 000), Centro nazionale italiana per la mappatura del suolo (CNCP), https://doi.org/10.13140/RG.2.1.4259.7848, 2015.
Law, B. E., Turner, D., Campbell, J., Sun, O. J., Van Tuyl, S., Ritts, W. D., and Cohen, W. B.: Disturbance and climate effects on carbon stocks and fluxes across Western Oregon USA, Glob. Change Biol., 10, 1429–1444, https://doi.org/10.1111/j.1365-2486.2004.00822.x, 2004.
Lindroth, A., Lagergren, F., Grelle, A., Klemedtsson, L., Langvall, O., Weslien, P., and Tuulik, J.: Storms can cause Europe-wide reduction in forest carbon sink, Glob. Change Biol., 15, 346–355, https://doi.org/10.1111/j.1365-2486.2008.01719.x, 2009.
Locatelli, T., Tarantola, S., Gardiner, B., and Patenaude, G.: Variance-based sensitivity analysis of a wind risk model – Model behaviour and lessons for forest modelling, Environ. Modell. Softw., 87, 84–109, https://doi.org/10.1016/j.envsoft.2016.10.010, 2017.
Lozano, O. M., Salis, M., Ager, A. A., Arca, B., Alcasena, F. J., Monteiro, A. T., Finney, M. A., Del Giudice, L., Scoccimarro, E., and Spano, D.: Assessing Climate Change Impacts on Wildfire Exposure in Mediterranean Areas, Risk Anal., 37, 1898–1916, https://doi.org/10.1111/risa.12739, 2017.
Mason, B. and Valinger, E.: Managing forests to reduce storm damage, in: Living with Storm Damage to Forests What Science Can Tell Us, vol. 3, edited by: Gardiner, B., Schuck, A., Schelhaas, M.-J., Orazio, C., Blennow, K., and Nicoll, B., European Forest Institute, 87–96, ISBN 978-952-5980-09-7, 2013.
Nabuurs, G.-J., Verkerk, P. J., Schelhaas, M.-J., Ramón González Olabarria, J., Trasobares, A., and Cienciala, E.: Climate-Smart Forestry: mitigation impacts in three European regions, European Forest Institute, https://doi.org/10.36333/fs06, 2018.
Pandey, K. and Ghosh, S. K.: Modeling of parameters for forest fire risk zone mapping, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII–5, 299–304, https://doi.org/10.5194/isprs-archives-XLII-5-299-2018, 2018.
Patacca, M., Lindner, M., Lucas-Borja, M. E., Cordonnier, T., Fidej, G., Gardiner, B., Hauf, Y., Jasinevičius, G., Labonne, S., Linkevičius, E., Mahnken, M., Milanovic, S., Nabuurs, G. J., Nagel, T. A., Nikinmaa, L., Panyatov, M., Bercak, R., Seidl, R., Ostrogović Sever, M. Z., Socha, J., Thom, D., Vuletic, D., Zudin, S., and Schelhaas, M. J.: Significant increase in natural disturbance impacts on European forests since 1950, Glob. Change Biol., 29, 1359–1376, https://doi.org/10.1111/gcb.16531, 2023.
Pawlik, Ł. and Harrison, S. P.: Modelling and prediction of wind damage in forest ecosystems of the Sudety Mountains, SW Poland, Sci. Total Environ., 815, 151972, https://doi.org/10.1016/j.scitotenv.2021.151972, 2022.
Peltola, H., Heinonen, T., Kangas, J., Venäläinen, A., Seppälä, J., and Hetemäki, L.: Climate-Smart Forestry Case Study: Finland, in: Forest Bioeconomy and Climate Change, edited by: Hetemäki, L., Kangas, J., and Peltola, H., Springer International Publishing, Cham, 183–195, https://doi.org/10.1007/978-3-030-99206-4_11, 2022.
Potterf, M., Eyvindson, K., Blattert, C., Triviño, M., Burner, R. C., Burgas, D., and Mönkkönen, M.: Diversification of forest management can mitigate wind damage risk and maintain biodiversity, Eur. J. For. Res., 143, 419–436, https://doi.org/10.1007/s10342-023-01625-1, 2023.
Pretzsch, H.: Stand density and growth of Norway spruce (Picea abies (L.) Karst.) and European beech (Fagus sylvatica L.): evidence from long-term experimental plots, Eur. J. For. Res., 124, 193–205, https://doi.org/10.1007/s10342-005-0068-4, 2005.
Pugh, T. A. M., Lindeskog, M., Smith, B., Poulter, B., Arneth, A., Haverd, V., and Calle, L.: Role of forest regrowth in global carbon sink dynamics, P. Natl. Acad. Sci. USA, 116, 4382–4387, https://doi.org/10.1073/pnas.1810512116, 2019.
Quine, C. P., Gardiner, B. A., and Moore, J.: Wind disturbance in forests: The process of wind created gaps, tree overturning, and stem breakage, Plant Disturbance Ecology: The Process and the Response, 2nd edn., 117–184, ISBN 978-0-12-818813-2, https://doi.org/10.1016/B978-0-12-818813-2.00004-6, 2021.
R Core Team: R: A language and environment for statistical computing, https://www.R-project.org/ (last access: 10 March 2024), 2022.
RStudio Team: RStudio: Integrated Development Environment for R, http://www.rstudio.com/ (last access: 10 March 2024), 2020.
Schirpke, U., Tappeiner, U., and Tasser, E.: A transnational perspective of global and regional ecosystem service flows from and to mountain regions, Sci. Rep., 9, 6678, https://doi.org/10.1038/s41598-019-43229-z, 2019.
Schulze, E.-D.: Biological control of the terrestrial carbon sink, Biogeosciences, 3, 147–166, https://doi.org/10.5194/bg-3-147-2006, 2006.
Scott, R. E. and Burgan, J. H.: Standard Fire Behavior Fuel Models: A Comprehensive Set for Use with Rothermel's Surface Fire Spread Model, US Department of Agriculture, Forest Service, Rocky Mountain Research Station, https://www.fs.usda.gov/rm/pubs_series/rmrs/gtr/rmrs_gtr153.pdf (last access: 10 March 2024), 2005.
Seidl, R., Rammer, W., and Lexer, M. J.: Adaptation options to reduce climate change vulnerability of sustainable forest management in the Austrian Alps, Can. J. Forest Res., 41, 694–706, https://doi.org/10.1139/x10-235, 2011.
Seidl, R., Thom, D., Kautz, M., Martin-Benito, D., Peltoniemi, M., Vacchiano, G., Wild, J., Ascoli, D., Petr, M., Honkaniemi, J., Lexer, M. J., Trotsiuk, V., Mairota, P., Svoboda, M., Fabrika, M., Nagel, T. A., and Reyer, C. P. O.: Forest disturbances under climate change, Nat. Clim. Change, 7, 395–402, https://doi.org/10.1038/nclimate3303, 2017.
Senf, C. and Seidl, R.: Mapping the forest disturbance regimes of Europe, Nat. Sustain., 4, 63–70, https://doi.org/10.1038/s41893-020-00609-y, 2021.
Senf, C., Sebald, J., and Seidl, R.: Increasing canopy mortality affects the future demographic structure of Europe's forests, One Earth, 4, 749–755, https://doi.org/10.1016/j.oneear.2021.04.008, 2021.
Sommerfeld, A., Senf, C., Buma, B., D'Amato, A. W., Després, T., Díaz-Hormazábal, I., Fraver, S., Frelich, L. E., Gutiérrez, Á. G., Hart, S. J., Harvey, B. J., He, H. S., Hlásny, T., Holz, A., Kitzberger, T., Kulakowski, D., Lindenmayer, D., Mori, A. S., Müller, J., Paritsis, J., Perry, G. L. W., Stephens, S. L., Svoboda, M., Turner, M. G., Veblen, T. T., and Seidl, R.: Patterns and drivers of recent disturbances across the temperate forest biome, Nat. Commun., 9, 4355, https://doi.org/10.1038/s41467-018-06788-9, 2018.
Stratton, R. D.: Guidance on spatial wildland fire analysis: models, tools, and techniques, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, https://doi.org/10.2737/rmrs-gtr-183, 2006.
Stritih, A., Senf, C., Seidl, R., Grêt-Regamey, A., and Bebi, P.: The impact of land-use legacies and recent management on natural disturbance susceptibility in mountain forests, Forest Ecol. Manag., 484, 118950, https://doi.org/10.1016/j.foreco.2021.118950, 2021.
Tabacchi, G., Di Cosmo, L., Gasparini, P., and Morelli, S.: Stima del volume e della fitomassa delle principali specie forestali italiane. Equazioni di previsione, tavole del volume e tavole della fitomassa arborea epigea, Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unità di Ricerca per il Monitoraggio e la Pianificazione Forestale, Trento, https://www.inventarioforestale.org/wp-content/uploads/2022/10/tavole_cubatura.pdf (last access: 10 March 2024), 2011.
Testo unico in materia di foreste e filiere forestali: Articolo 10§5 [Consolidated law on forests and forestry. Article 10§5], https://www.normattiva.it/uri-res/N2Ls?urn:nir:stato:decreto.legislativo:2018;34~art10-com4 (last access: 10 March 2024), 2018.
Thom, D. and Seidl, R.: Natural disturbance impacts on ecosystem services and biodiversity in temperate and boreal forests, Biol. Rev., 91, 760–781, https://doi.org/10.1111/brv.12193, 2016.
Vacchiano, G., Berretti, R., Mondino, E. B., Meloni, F., and Motta, R.: Assessing the effect of disturbances on the functionality of direct protection forests, Mt. Res. Dev., 36, 41–55, https://doi.org/10.1659/MRD-JOURNAL-D-15-00075.1, 2016.
Varner, J. M., Kane, J. M., Kreye, J. K., and Engber, E.: The Flammability of Forest and Woodland Litter: a Synthesis, Current Forestry Reports, 1, 91–99, https://doi.org/10.1007/s40725-015-0012-x, 2015.
Verkerk, P. J., Costanza, R., Hetemäki, L., Kubiszewski, I., Leskinen, P., Nabuurs, G. J., Potočnik, J., and Palahí, M.: Climate-Smart Forestry: the missing link, Forest Policy Econ., 115, 102164, https://doi.org/10.1016/j.forpol.2020.102164, 2020.
Vitullo, M., De Laurentis, R., and Federici, S.: La contabilità del carbonio contenuto nelle foreste italiane [Accounting for carbon in Italian forests], Silvae, 3, 91–104, 2007.
Westerling, A. L., Hidalgo, H. G., Cayan, D. R., and Swetnam, T. W.: Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity, Science, 313, 940–943, https://doi.org/10.1126/science.1128834, 2006.
Wickham, H.: ggplot2: Elegant Graphics for Data Analysis, Springer-Verlag New York, https://doi.org/10.1007/978-0-387-98141-3, 2016.
Yamanoi, K., Mizoguchi, Y., and Utsugi, H.: Effects of a windthrow disturbance on the carbon balance of a broadleaf deciduous forest in Hokkaido, Japan, Biogeosciences, 12, 6837–6851, https://doi.org/10.5194/bg-12-6837-2015, 2015.
Zepner, L., Karrasch, P., Wiemann, F., and Bernard, L.: ClimateCharts.net – an interactive climate analysis web platform, Int. J. Digit. Earth, 14, 338–356, https://doi.org/10.1080/17538947.2020.1829112, 2021.
Zhang, B., Dong, X., Qu, H., Gao, R., and Mao, L.: Effects of thinning on ecosystem carbon storage and tree-shrub-herb diversity of a low-quality secondary forest in NE China, J. Forestry Res., 34, 977–991, https://doi.org/10.1007/s11676-022-01531-z, 2023.
Zhang, F., Zhang, B., Luo, J., Liu, H., Deng, Q., Wang, L., and Zuo, Z.: Forest Fire Driving Factors and Fire Risk Zoning Based on an Optimal Parameter Logistic Regression Model: A Case Study of the Liangshan Yi Autonomous Prefecture, China, Fire, 6, 336, https://doi.org/10.3390/fire6090336, 2023.
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.
Natural disturbances are projected to intensify in the future, threatening our forests and their...
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