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

Author:

Ibanez Thomas1ORCID,Bauman David12ORCID,Aiba Shin‐ichiro3ORCID,Arsouze Thomas14ORCID,Bellingham Peter J.5ORCID,Birkinshaw Chris6,Birnbaum Philippe147ORCID,Curran Timothy J.8ORCID,DeWalt Saara J.9ORCID,Dwyer John10ORCID,Fourcaud Thierry14,Franklin Janet1112ORCID,Kohyama Takashi S.3ORCID,Menkes Christophe13ORCID,Metcalfe Dan J.14ORCID,Murphy Helen15,Muscarella Robert16ORCID,Plunkett Gregory M.17ORCID,Sam Chanel18,Tanner Edmund19ORCID,Taylor Benton N.20ORCID,Thompson Jill21ORCID,Ticktin Tamara22ORCID,Tuiwawa Marika V.23,Uriarte Maria24ORCID,Webb Edward L.2526ORCID,Zimmerman Jess K.27,Keppel Gunnar128ORCID

Affiliation:

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

2. Plant Ecology and Biogeochemistry Lab, Faculty of Sciences Université Libre de Bruxelles Brussels Belgium

3. Faculty of Environmental Earth Science Hokkaido University Sapporo Japan

4. CIRAD, UMR AMAP Montpellier France

5. Manaaki Whenua—Landcare Research Lincoln New Zealand

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

7. Institut Agronomique néo‐Calédonien (IAC) Nouméa New Caledonia

8. Department of Pest‐Management and Conservation Lincoln University Lincoln New Zealand

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

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

11. Department of Geography San Diego State University San Diego California USA

12. Botany and Plant Sciences Department University of California Riverside California USA

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

14. Ecosciences Precinct, CSIRO Dutton Park Queensland Australia

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

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

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

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

19. Department of Plant Sciences University of Cambridge Cambridge UK

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

21. UK Centre for Ecology & Hydrology Penicuik Midlothian UK

22. School of Life Sciences University of Hawaiʽi at Mānoa Honolulu Hawaiʽi USA

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

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

25. Department of Forest Sciences, Viikki Tropical Resources Institute University of Helsinki Helsinki Finland

26. Helsinki Institute of Sustainability Science (HELSUS) University of Helsinki Helsinki Finland

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

28. UniSA STEM and Future Industries Institute, University of South Australia Adelaide South Australia Australia

Abstract

AbstractEach 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.

Funder

Hermon Slade Foundation

Vetenskapsrådet

National Science Foundation

Publisher

Wiley

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