Damage to tropical forests caused by cyclones is driven by wind speed but mediated by topographical exposure and tree characteristics.

hurricane mechanical failure snapping storm tree tropical cyclones tropics typhoon uprooting

Journal

Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746

Informations de publication

Date de publication:
May 2024
Historique:
revised: 09 04 2024
received: 07 02 2024
accepted: 11 04 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 15 5 2024
Statut: ppublish

Résumé

Each year, an average of 45 tropical cyclones affect coastal areas and potentially impact forests. The proportion of the most intense cyclones has increased over the past four decades and is predicted to continue to do so. Yet, it remains uncertain how topographical exposure and tree characteristics can mediate the damage caused by increasing wind speed. Here, we compiled empirical data on the damage caused by 11 cyclones occurring over the past 40 years, from 74 forest plots representing tropical regions worldwide, encompassing field data for 22,176 trees and 815 species. We reconstructed the wind structure of those tropical cyclones to estimate the maximum sustained wind speed (MSW) and wind direction at the studied plots. Then, we used a causal inference framework combined with Bayesian generalised linear mixed models to understand and quantify the causal effects of MSW, topographical exposure to wind (EXP), tree size (DBH) and species wood density (ρ) on the proportion of damaged trees at the community level, and on the probability of snapping or uprooting at the tree level. The probability of snapping or uprooting at the tree level and, hence, the proportion of damaged trees at the community level, increased with increasing MSW, and with increasing EXP accentuating the damaging effects of cyclones, in particular at higher wind speeds. Higher ρ decreased the probability of snapping and to a lesser extent of uprooting. Larger trees tended to have lower probabilities of snapping but increased probabilities of uprooting. Importantly, the effect of ρ decreasing the probabilities of snapping was more marked for smaller than larger trees and was further accentuated at higher MSW. Our work emphasises how local topography, tree size and species wood density together mediate cyclone damage to tropical forests, facilitating better predictions of the impacts of such disturbances in an increasingly windier world.

Identifiants

pubmed: 38747199
doi: 10.1111/gcb.17317
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e17317

Subventions

Organisme : National Geographical Society
Organisme : Marie Skłodowska-Curie
ID : 895799
Organisme : Clemson Caribbean Initiative
Organisme : Department of Marine and Wildlife Resources American Samoa
Organisme : French Pacific Funds
Organisme : San Diego State University Research Foundation
Organisme : Hermon Slade Foundation
ID : HSF 19105
Organisme : Swedish Research Council
ID : 2019-03758
Organisme : Strategic Science Investment Fund of the New Zealand Ministry of Business
Organisme : National Science Foundation
ID : 1555657
Organisme : National Science Foundation
ID : 155793
Organisme : Montpellier Advanced Knowledge Institute on Transitions
Organisme : National Park of American Samoa

Informations de copyright

© 2024 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

Références

Ancelin, P., Courbaud, B., & Fourcaud, T. (2004). Developing an individual tree based mechanical model to predict wind damage within forest stands. Forest Ecology and Management, 203(1–3), 101–121. https://doi.org/10.1016/j.foreco.2004.07.067
Ankori‐Karlinsky, R., Hall, J., Murphy, L., Muscarella, R., Martinuzzi, S., Fahey, R., Zimmerman, J. K., & Uriarte, M. (2024). Chronic winds reduce tropical forest structural complexity regardless of climate, topography, or forest age. Ecosystems, 27, 479–491. https://doi.org/10.1007/s10021‐024‐00900‐5
Arif, S., & MacNeil, M. A. (2023). Applying the structural causal model framework for observational causal inference in ecology. Ecological Monographs, 93(1), e1554. https://doi.org/10.1002/ecm.1554
Asner, G. P., & Goldstein, G. (1997). Correlating stem biomechanical properties of Hawaiian canopy trees with hurricane wind damage. Biotropica, 29(2), 145–150.
Basnet, K., Likens, G. E., Scatena, F. N., & Lugo, A. E. (1992). Hurricane Hugo: Damage to a tropical rainforest in Puerto Rico. Journal of Tropical Ecology, 8(1), 47–55.
Basnet, K., Scatena, F. N., Likens, G. E., & Lugo, A. E. (1993). Ecological consequences of root grafting in tabonuco (Dacryodes excelsa) trees in the Luquillo experimental Forest, Puerto Rico. Biotropica, 25(1), 28–35. https://doi.org/10.2307/2388976
Batista, W. B., & Platt, W. J. (2003). Tree population responses to hurricane disturbance: Syndromes in a south‐eastern USA old‐growth forest. Journal of Ecology, 91(2), 197–212. https://www.jstor.org/stable/3599755
Bellingham, P. (1991). Landforms influence patterns of hurricane damage—Evidence from Jamaican montane forests. Biotropica, 23(4), 427–433. https://doi.org/10.2307/2388262
Bellingham, P. J., Kohyama, T., & Aiba, S. (1996). The effects of a typhoon on Japanese warm temperate rainforests. Ecological Research, 11(3), 229–247. https://doi.org/10.1007/BF02347781
Bellingham, P. J., Tanner, E. V. J., & Healey, J. R. (1995). Damage and responsiveness of Jamaican montane tree species after disturbance by a hurricane. Ecology, 76(8), 2562–2580. https://doi.org/10.2307/2265828
Birkinshaw, C., & Randrianjanahary, M. (2007). The effects of cyclone Hudah on the forest of Masoala Peninsula, Madagascar. Madagascar Conservation & Development, 2(1), Article 1. https://doi.org/10.4314/mcd.v2i1.44125
Blanchard, E., Birnbaum, P., Ibanez, T., Boutreux, T., Antin, C., Ploton, P., Vincent, G., Pouteau, R., Vandrot, H., Hequet, V., Barbier, N., Droissart, V., Sonké, B., Texier, N., Kamdem, N. G., Zebaze, D., Libalah, M., & Couteron, P. (2016). Contrasted allometries between stem diameter, crown area, and tree height in five tropical biogeographic areas. Trees, 30, 1953–1968. https://doi.org/10.1007/s00468‐016‐1424‐3
Blanchard, G., Munoz, F., Ibanez, T., Hequet, V., Vandrot, H., Girardi, J., & Birnbaum, P. (2019). Regional rainfall and local topography jointly drive tree community assembly in lowland tropical forests of New Caledonia. Journal of Vegetation Science, 30(5), Article 5. https://doi.org/10.1111/jvs.12781
Boose, E. R., Foster, D. R., & Fluet, M. (1994). Hurricane impacts to tropical and temperate forest landscapes. Ecological Monographs, 64(4), 369–400. https://doi.org/10.2307/2937142
Bourdin, S., Fromang, S., Dulac, W., Cattiaux, J., & Chauvin, F. (2022). Intercomparison of four algorithms for detecting tropical cyclones using ERA5. Geoscientific Model Development, 15(17), 6759–6786. https://doi.org/10.5194/gmd‐15‐6759‐2022
Bürkner, P.‐C. (2017). brms: An R package for bayesian multilevel models using Stan. Journal of Statistical Software, 80, 1–28. https://doi.org/10.18637/jss.v080.i01
Cannon, J. B., Barrett, M. E., & Peterson, C. J. (2015). The effect of species, size, failure mode, and fire‐scarring on tree stability. Forest Ecology and Management, 356, 196–203. https://doi.org/10.1016/j.foreco.2015.07.014
Cannon, J. B., Peterson, C. J., Godfrey, C. M., & Whelan, A. W. (2023). Hurricane wind regimes for forests of North America. Proceedings of the National Academy of Sciences of the United States of America, 120(42), e2309076120. https://doi.org/10.1073/pnas.2309076120
Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., Brubaker, M. A., Guo, J., Li, P., & Riddell, A. (2017). Stan: A probabilistic programming language. Journal of Statistical Software, 76, 1. https://doi.org/10.18637/jss.v076.i01
Chave, J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., Fölster, H., Fromard, F., Higuchi, N., Kira, T., Lescure, J.‐P., Nelson, B. W., Ogawa, H., Puig, H., Riéra, B., & Yamakura, T. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145(1), 87–99. https://doi.org/10.1007/s00442‐005‐0100‐x
Chave, J., Coomes, D., Jansen, S., Lewis, S. L., Swenson, N. G., & Zanne, A. E. (2009). Towards a worldwide wood economics spectrum. Ecology Letters, 12(4), 351–366. https://doi.org/10.1111/j.1461‐0248.2009.01285.x
Chave, J., Muller‐Landau, H. C., Baker, T. R., Easdale, T. A., Ter Steege, H., & Webb, C. O. (2006). Regional and phylogenetic variation of wood density across 2456 neotropical tree species. Ecological Applications, 16(6), 2356–2367. https://doi.org/10.1890/1051‐0761(2006)016[2356:rapvow]2.0.co;2
Chen, K.‐M. (1994). A computation method for typhoon wind field. Tropic Oceanology, 13(2), 41–48.
Curran, T. J., Brown, R. L., Edwards, E., Hopkins, K., Kelley, C., McCarthy, E., Pounds, E., Solan, R., & Wolf, J. (2008). Plant functional traits explain interspecific differences in immediate cyclone damage to trees of an endangered rainforest community in north Queensland. Austral Ecology, 33(4), 451–461. https://doi.org/10.1111/j.1442‐9993.2008.01900.x
Curran, T. J., Gersbach, L. N., Edwards, W., & Krockenberger, A. K. (2008). Wood density predicts plant damage and vegetative recovery rates caused by cyclone disturbance in tropical rainforest tree species of North Queensland, Australia. Austral Ecology, 33(4), 442–450. https://doi.org/10.1111/j.1442‐9993.2008.01899.x
Delaporte, B., Arsouze, T., Keppel, G., Jullien, S., Menkes, C., & Ibanez, T. (2024). StormR: An R package to quantify and map the tropical storms and cyclones' winds characteristics. Journal of Open Source Software, 9(93), 5766. https://doi.org/10.21105/joss.05766
Delaporte, B., Ibanez, T., Despinoy, M., Mangeas, M., & Menkes, C. (2022). Tropical cyclone impact and forest resilience in the Southwestern Pacific. Remote Sensing, 14(5), 1245. https://doi.org/10.3390/rs14051245
Delaporte, B., Ibanez, T., Keppel, G., Jullien, S., Menkes, C., & Arsouze, T. (2023). StormR: Analyzing the behaviour of wind generated by tropical storms and cyclones. R package version 0.1.1. https://CRAN.R‐project.org/package=StormR
Elmqvist, T., Rainey, W. E., Pierson, E. D., & Cox, P. A. (1994). Effects of tropical cyclones Ofa and Val on the structure of a Samoan lowland rain‐forest. Biotropica, 26(4), 384–391. https://doi.org/10.2307/2389232
Foster, D. R. (1988). Species and stand response to catastrophic wind in central New England, USA. Journal of Ecology, 76(1), 135–151. https://doi.org/10.2307/2260458
Fournier, M., Dlouhá, J., Jaouen, G., & Almeras, T. (2013). Integrative biomechanics for tree ecology: Beyond wood density and strength. Journal of Experimental Botany, 64(15), 4793–4815. https://doi.org/10.1093/jxb/ert279
Franklin, J., Drake, D. R., McConkey, K. R., Tonga, F., & Smith, L. B. (2004). The effects of Cyclone Waka on the structure of lowland tropical rain forest in Vavaʻu, Tonga. Journal of Tropical Ecology, 20, 409–420. https://doi.org/10.1017/s0266467404001543
Freschet, G. T., Roumet, C., Comas, L. H., Weemstra, M., Bengough, A. G., Rewald, B., Bardgett, R. D., De Deyn, G. B., Johnson, D., Klimešová, J., Lukac, M., McCormack, M. L., Meier, I. C., Pagès, L., Poorter, H., Prieto, I., Wurzburger, N., Zadworny, M., Bagniewska‐Zadworna, A., … Stokes, A. (2021). Root traits as drivers of plant and ecosystem functioning: Current understanding, pitfalls and future research needs. New Phytologist, 232(3), 1123–1158. https://doi.org/10.1111/nph.17072
Gardiner, B. (2021). Wind damage to forests and trees: A review with an emphasis on planted and managed forests. Journal of Forest Research, 26(4), 248–266. https://doi.org/10.1080/13416979.2021.1940665
Gardiner, B., Peltola, H., & Kellomäki, S. (2000). Comparison of two models for predicting the critical wind speeds required to damage coniferous trees. Ecological Modelling, 129(1), 1–23. https://doi.org/10.1016/S0304‐3800(00)00220‐9
Hall, J., Muscarella, R., Quebbeman, A., Arellano, G., Thompson, J., Zimmerman, J. K., & Uriarte, M. (2020). Hurricane‐induced rainfall is a stronger predictor of tropical forest damage in Puerto Rico than maximum wind speeds. Scientific Reports, 10(1), 4318. https://doi.org/10.1038/s41598‐020‐61164‐2
Heartsill‐Scalley, T., & López‐Marrero, T. (2021). Beyond tropical storms: Understanding disturbance and forest dynamics. Frontiers in Forests and Global Change, 4, 698733. https://doi.org/10.3389/ffgc.2021.698733
Herbert, D. A., Fownes, J. H., & Vitousek, P. M. (1999). Hurricane damage to a Hawaiian forest: Nutrient supply rate affects resistance and resilience. Ecology, 80(3), 908–920. https://doi.org/10.1890/0012‐9658(1999)080[0908:HDTAHF]2.0.CO;2
Herwitz, S. R. (1985). Interception storage capacities of tropical rainforest canopy trees. Journal of Hydrology, 77(1), 237–252. https://doi.org/10.1016/0022‐1694(85)90209‐4
Hijmans, R. (2023). Raster: Geographic data analysis and modelling. R package version 3.6‐20. https://cran.r‐project.org/web/packages/raster/index.html
Ibanez, T., Keppel, G., Menkes, C., Gillespie, T. W., Lengaigne, M., Mangeas, M., Rivas‐Torres, G., & Birnbaum, P. (2019). Globally consistent impact of tropical cyclones on the structure of tropical and subtropical forests. Journal of Ecology, 107(1), 279–292. https://doi.org/10.1111/1365‐2745.13039
Ibanez, T., Platt, W. J., Bellingham, P. J., Vieilledent, G., Franklin, J., Martin, P. H., Menkes, C., Pérez‐Salicrup, D. R., Russell‐Smith, J., & Keppel, G. (2022). Altered cyclone–fire interactions are changing ecosystems. Trends in Plant Science, 27(12), 1218–1230. https://doi.org/10.1016/j.tplants.2022.08.005
IPCC. (2021). Climate change 2021: The physical science basis. Contribution of Working Group I to the sixth assessment report of the Intergovernmental Panel on Climate Change [V. Masson‐Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J. B. R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, & B. Zhou (Eds.)]. Cambridge University Press. https://doi.org/10.1017/9781009157896
Kay, M. (2023). tidybayes: Tidy Data and Geoms for bayesian models. https://doi.org/10.5281/zenodo.1308151
Knapp, K. R., Kruk, M. C., Levinson, D. H., Diamond, H. J., & Neumann, C. J. (2010). The international best track archive for climate stewardship (IBTrACS). Bulletin of the American Meteorological Society, 91(3), 363–376. https://doi.org/10.1175/2009bams2755.1
Korznikov, K., Kislov, D., Doležal, J., Petrenko, T., & Altman, J. (2022). Tropical cyclones moving into boreal forests: Relationships between disturbance areas and environmental drivers. Science of the Total Environment, 844, 156931. https://doi.org/10.1016/j.scitotenv.2022.156931
Larjavaara, M., & Muller‐Landau, H. C. (2010). Rethinking the value of high wood density. Functional Ecology, 24(4), 701–705. https://doi.org/10.1111/j.1365‐2435.2010.01698.x
Laurans, M., Munoz, F., Charles‐Dominique, T., Heuret, P., Fortunel, C., Isnard, S., Sabatier, S.‐A., Caraglio, Y., & Violle, C. (2024). Why incorporate plant architecture into trait‐based ecology? Trends in Ecology & Evolution, 1–13. https://doi.org/10.1016/j.tree.2023.11.011
Lin, I.‐I., Pun, I.‐F., & Lien, C.‐C. (2014). “Category‐6” supertyphoon Haiyan in global warming hiatus: Contribution from subsurface ocean warming. Geophysical Research Letters, 41(23), 8547–8553. https://doi.org/10.1002/2014GL061281
Lin, T.‐C., Hogan, J. A., & Chang, C.‐T. (2020). Tropical cyclone ecology: A scale‐link perspective. Trends in Ecology & Evolution, 35(7), 594–604. https://doi.org/10.1016/j.tree.2020.02.012
Lugo, A. E. (2008). Visible and invisible effects of hurricanes on forest ecosystems: An international review. Austral Ecology, 33(4), 368–398. https://doi.org/10.1111/j.1442‐9993.2008.01894.x
Lugo, A. E., Applefield, M., Douglas, J. P., & Macdonald, R. B. (1983). The impact of hurricane David on the forests of Dominica. Canadian Journal of Forest Research, 13, 201–211.
Mayhead, G. J. (1973). Some drag coefficients for British forest trees derived from wind tunnel studies. Agricultural Meteorology, 12, 123–130. https://doi.org/10.1016/0002‐1571(73)90013‐7
McElreath, R. (2020). Statistical rethinking: A bayesian course with examples in R and STAN (2nd ed.). Chapman and Hall/CRC Press. https://doi.org/10.1201/9780429029608
Metcalfe, D. J., Bradford, M. G., & Ford, A. J. (2008). Cyclone damage to tropical rain forests: Species‐ and community‐level impacts. Austral Ecology, 33(4), 432–441. https://doi.org/10.1111/j.1442‐9993.2008.01898.x
Murakami, H., Delworth, T. L., Cooke, W. F., Zhao, M., Xiang, B., & Hsu, P.‐C. (2020). Detected climatic change in global distribution of tropical cyclones. Proceedings of the National Academy of Sciences of the United States of America, 117(20), 10706–10714. https://doi.org/10.1073/pnas.1922500117
Niklas, K. J., & Spatz, H.‐C. (2010). Worldwide correlations of mechanical properties and green wood density. American Journal of Botany, 97(10), 1587–1594. https://doi.org/10.3732/ajb.1000150
O'Brien, M. J., Engelbrecht, B. M. J., Joswig, J., Pereyra, G., Schuldt, B., Jansen, S., Kattge, J., Landhäusser, S. M., Levick, S. R., Preisler, Y., Väänänen, P., & Macinnis‐Ng, C. (2017). A synthesis of tree functional traits related to drought‐induced mortality in forests across climatic zones. Journal of Applied Ecology, 54(6), 1669–1686. https://doi.org/10.1111/1365‐2664.12874
Ostertag, R., Silver, W. L., & Lugo, A. E. (2005). Factors affecting mortality and resistance to damage following hurricanes in a rehabilitated subtropical moist forest. Biotropica, 37(1), 16–24.
Pearl, J. (2009). Causality: Models, reasoning and inference (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511803161
Peltola, H. M. (2006). Mechanical stability of trees under static loads. American Journal of Botany, 93(10), 1501–1511. https://doi.org/10.3732/ajb.93.10.1501
Poorter, L., Bongers, L., & Bongers, F. (2006). Architecture of 54 moist‐forest tree species: Traits, trade‐offs, and functional groups. Ecology, 87(5), 1289–1301. https://doi.org/10.1890/0012‐9658(2006)87[1289:AOMTST]2.0.CO;2
Quigley, M. F., & Platt, W. J. (2003). Composition and structure of seasonally deciduous forests in the Americas. Ecological Monographs, 73(1), 87–106. https://doi.org/10.1890/0012‐9615(2003)073[0087:CASOSD]2.0.CO;2
R Core Team. (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R‐project.org/
Read, J., Evans, R., Sanson, G. D., Kerr, S., & Jaffré, T. (2011). Wood properties and trunk allometry of co‐occurring rainforest canopy trees in a cyclone‐prone environment. American Journal of Botany, 98(11), 1762–1772. https://doi.org/10.3732/ajb.1100080
Reilly, A. E. (1991). The effects of hurricane Hugo in three tropical forests in the U.S. Virgin Islands. Biotropica, 23(4), 414–419. https://doi.org/10.2307/2388260
Réjou‐Méchain, M., Tanguy, A., Piponiot, C., Chave, J., & Hérault, B. (2017). biomass: An r package for estimating above‐ground biomass and its uncertainty in tropical forests. Methods in Ecology and Evolution, 8(9), 1163–1167. https://doi.org/10.1111/2041‐210X.12753
Ribeiro, G. H. P. M., Chambers, J. Q., Peterson, C. J., Trumbore, S. E., Magnabosco Marra, D., Wirth, C., Cannon, J. B., Négron‐Juárez, R. I., Lima, A. J. N., de Paula, E. V. C. M., Santos, J., & Higuchi, N. (2016). Mechanical vulnerability and resistance to snapping and uprooting for Central Amazon tree species. Forest Ecology and Management, 380, 1–10. https://doi.org/10.1016/j.foreco.2016.08.039
Rogers, R. F., Aberson, S., Bell, M. M., Cecil, D. J., Doyle, J. D., Kimberlain, T. B., Morgerman, J., Shay, L. K., & Velden, C. (2017). Rewriting the tropical record books: The extraordinary intensification of Hurricane Patricia (2015). Bulletin of the American Meteorological Society, 98(10), 2091–2112. https://doi.org/10.1175/BAMS‐D‐16‐0039.1
Ruel, J.‐C., Pin, D., & Cooper, K. (1998). Effect of topography on wind behaviour in a complex terrain. Forestry, 71(3), 261–265. https://doi.org/10.1093/forestry/71.3.261
Rutledge, B. T., Cannon, J. B., McIntyre, R. K., Holland, A. M., & Jack, S. B. (2021). Tree, stand, and landscape factors contributing to hurricane damage in a coastal plain forest: Post‐hurricane assessment in a longleaf pine landscape. Forest Ecology and Management, 481, 118724. https://doi.org/10.1016/j.foreco.2020.118724
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., & Reyer, C. P. O. (2017). Forest disturbances under climate change. Nature Climate Change, 7(6), 395–402. https://doi.org/10.1038/nclimate3303
Simpson, R. H. (1974). The hurricane disaster potential scale. Weatherwise, 27, 169–186.
Stokes, A. (2002). Biomechanics of tree root anchorage. In Y. Waisel, A. Eshel, & U. Kafkafi (Eds.), Plant roots (pp. 297–314). CRC Press.
Studholme, J., Fedorov, A. V., Gulev, S. K., Emanuel, K., & Hodges, K. (2022). Poleward expansion of tropical cyclone latitudes in warming climates. Nature Geoscience, 15(1), 14–28. https://doi.org/10.1038/s41561‐021‐00859‐1
Swenson, N. G., & Enquist, B. J. (2007). Ecological and evolutionary determinants of a key plant functional trait: Wood density and its community‐wide variation across latitude and elevation. American Journal of Botany, 94(3), 451–459. https://doi.org/10.3732/ajb.94.3.451
Tanner, E. V. J., & Bellingham, P. J. (2006). Less diverse forest is more resistant to hurricane disturbance: Evidence from montane rain forests in Jamaica. Journal of Ecology, 94(5), 1003–1010. https://doi.org/10.1111/j.1365‐2745.2006.01149.x
Taylor, B. N., Stedman, E., Van Bloem, S. J., Whitmire, S. L., & DeWalt, S. J. (2023). Widespread stem snapping but limited mortality caused by a category 5 hurricane on the Caribbean Island of Dominica. Forest Ecology and Management, 532, 120833. https://doi.org/10.1016/j.foreco.2023.120833
Thomas, S. C., Martin, A. R., & Mycroft, E. E. (2015). Tropical trees in a wind‐exposed Island ecosystem: Height–diameter allometry and size at onset of maturity. Journal of Ecology, 103(3), 594–605. https://doi.org/10.1111/1365‐2745.12378
Ticktin, T., McGuigan, A., Alo, F., Balick, M., Boraks, A., Sam, C., Doro, T., Dovo, P., Ibanez, T., Naikitini, A., Ranker, T. A., Tuiwawa, M. V., Wahe, J.‐P., & Plunkett, G. M. (2024). High resilience of Pacific Island forests to a category‐5 cyclone. Science of the Total Environment, 922, 170973. https://doi.org/10.1016/j.scitotenv.2024.170973
United Nations Environment Programme. (2023). Adaptation gap report 2023: Underfinanced. Underprepared. Inadequate investment and planning on climate adaptation leaves world exposed. https://wedocs.unep.org/20.500.11822/43796
Uriarte, M., Thompson, J., & Zimmerman, J. K. (2019). Hurricane María tripled stem breaks and doubled tree mortality relative to other major storms. Nature Communications, 10(1), 1362. https://doi.org/10.1038/s41467‐019‐09319‐2
Vandecar, K. L., Lawrence, D., Richards, D., Schneider, L., Rogan, J., Schmook, B., & Wilbur, H. (2011). High mortality for rare species following hurricane disturbance in the southern Yucatán. Biotropica, 43(6), 676–684. https://doi.org/10.1111/j.1744‐7429.2011.00756.x
Vehtari, A., Gabry, J., Magnusson, M., Yao, Y., Bürkner, P., Paananen, T., & Gelman, A. (2023). loo: Efficient leave‐one‐out cross‐validation and WAIC for Bayesian models. R package version 2.6.0. https://mc‐stan.org/loo/
Vehtari, A., Gelman, A., & Gabry, J. (2017). Practical Bayesian model evaluation using leave‐one‐out cross‐validation and WAIC. Statistics and Computing, 27(5), 1413–1432. https://doi.org/10.1007/s11222‐016‐9696‐4
Virot, E., Ponomarenko, A., Dehandschoewercker, É., Quéré, D., & Clanet, C. (2016). Critical wind speed at which trees break. Physical Review E, 93(2), 023001. https://doi.org/10.1103/PhysRevE.93.023001
Walker, L. (1991). Tree damage and recovery from hurricane Hugo in Luquillo Experimental Forest, Puerto‐Rico. Biotropica, 23(4), 375–385. https://doi.org/10.2307/2388255
Walker, L., Voltzow, J., Ackerman, J., Fernandez, D., & Fetcher, N. (1992). Immediate impact of hurricane Hugo on a Puerto‐Rican rain‐forest. Ecology, 73(2), 691–694. https://doi.org/10.2307/1940775
Wang, F., & Xu, Y. J. (2009). Hurricane Katrina‐induced forest damage in relation to ecological factors at landscape scale. Environmental Monitoring and Assessment, 156(1), 491–507. https://doi.org/10.1007/s10661‐008‐0500‐6
Wang, S., & Toumi, R. (2021). Recent migration of tropical cyclones toward coasts. Science, 371(6528), 514–517. https://doi.org/10.1126/science.abb9038
Webb, E. L., Stanfield, B. J., & Jensen, M. L. (1999). Effects of topography on rainforest tree community structure and diversity in American Samoa, and implications for frugivore and nectarivore populations. Journal of Biogeography, 26(4), 887–897. https://doi.org/10.1046/j.1365‐2699.1999.00326.x
Webb, E. L., van de Bult, M., Faʻaumu, S., Webb, R. C., Tualaulelei, A., & Carrasco, L. R. (2014). Factors affecting tropical tree damage and survival after catastrophic wind disturbance. Biotropica, 46(1), 32–41. https://doi.org/10.1111/btp.12067
Wehner, M. F., & Kossin, J. P. (2024). The growing inadequacy of an open‐ended Saffir–Simpson hurricane wind scale in a warming world. Proceedings of the National Academy of Sciences of the United States of America, 121(7), e2308901121. https://doi.org/10.1073/pnas.2308901121
Willoughby, H. E., Darling, R. W. R., & Rahn, M. E. (2006). Parametric representation of the primary hurricane vortex. Part II: A new family of sectionally continuous profiles. Monthly Weather Review, 134(4), 1102–1120. https://doi.org/10.1175/mwr3106.1
Zeng, H., Chambers, J. Q., Negrón‐Juárez, R. I., Hurtt, G. C., Baker, D. B., & Powell, M. D. (2009). Impacts of tropical cyclones on US forest tree mortality and carbon flux from 1851 to 2000. Proceedings of the National Academy of Sciences of the United States of America, 106(19), 7888–7892. https://doi.org/10.1073/pnas.0808914106
Zimmerman, J. K., Everham, E. M., III, Waide, R. B., Lodge, D. J., Taylor, C. M., & Brokaw, N. V. L. (1994). Responses of tree species to hurricane winds in subtropical wet forest in Puerto Rico: Implications for tropical tree life histories. Journal of Ecology, 82(4), 911–922.

Auteurs

Thomas Ibanez (T)

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.

David Bauman (D)

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.
Plant Ecology and Biogeochemistry Lab, Faculty of Sciences, Université Libre de Bruxelles, Brussels, Belgium.

Shin-Ichiro Aiba (SI)

Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan.

Thomas Arsouze (T)

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.
CIRAD, UMR AMAP, Montpellier, France.

Peter J Bellingham (PJ)

Manaaki Whenua-Landcare Research, Lincoln, New Zealand.

Chris Birkinshaw (C)

Missouri Botanical Garden, Madagascar Research and Conservation Program, Antananarivo, Madagascar.

Philippe Birnbaum (P)

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.
CIRAD, UMR AMAP, Montpellier, France.
Institut Agronomique néo-Calédonien (IAC), Nouméa, New Caledonia.

Timothy J Curran (TJ)

Department of Pest-Management and Conservation, Lincoln University, Lincoln, New Zealand.

Saara J DeWalt (SJ)

Department of Plant and Microbial Biology, College of Biological Sciences, University of Minnesota-Twin Cities, St. Paul, Minnesota, USA.

John Dwyer (J)

School of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia.

Thierry Fourcaud (T)

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.
CIRAD, UMR AMAP, Montpellier, France.

Janet Franklin (J)

Department of Geography, San Diego State University, San Diego, California, USA.
Botany and Plant Sciences Department, University of California, Riverside, California, USA.

Takashi S Kohyama (TS)

Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan.

Christophe Menkes (C)

ENTROPIE, UMR 9220, IRD, Univ. de la Réunion, CNRS, Nouméa, New Caledonia.

Dan J Metcalfe (DJ)

Ecosciences Precinct, CSIRO, Dutton Park, Queensland, Australia.

Helen Murphy (H)

CSIRO, Australian Tropical Sciences and Innovation Precinct, James Cook University, Townsville, Queensland, Australia.

Robert Muscarella (R)

Plant Ecology and Evolution, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden.

Gregory M Plunkett (GM)

Cullman Program for Molecular Systematics, New York Botanical Garden, Bronx, New York, USA.

Chanel Sam (C)

Vanuatu National Herbarium, Vanuatu Department of Forestry, Port Vila, Vanuatu.

Edmund Tanner (E)

Department of Plant Sciences, University of Cambridge, Cambridge, UK.

Benton N Taylor (BN)

Department of Organismic & Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.

Jill Thompson (J)

UK Centre for Ecology & Hydrology, Penicuik, Midlothian, UK.

Tamara Ticktin (T)

School of Life Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, USA.

Marika V Tuiwawa (MV)

South Pacific Regional Herbarium and Biodiversity Center, Institute of Applied Sciences, University of the South Pacific, Suva, Fiji.

Maria Uriarte (M)

Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, New York, USA.

Edward L Webb (EL)

Department of Forest Sciences, Viikki Tropical Resources Institute, University of Helsinki, Helsinki, Finland.
Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Helsinki, Finland.

Jess K Zimmerman (JK)

Environmental Science, University of Puerto Rico, San Juan, Puerto Rico, USA.

Gunnar Keppel (G)

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.
UniSA STEM and Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass
Humans Immunization, Secondary COVID-19 Vaccines COVID-19 SARS-CoV-2
1.00
Iran Environmental Monitoring Seasons Ecosystem Forests

Classifications MeSH