Tropical Cyclone Impact and Forest Resilience in the Southwestern Pacific - Archive ouverte HAL
Article Dans Une Revue Remote Sensing Année : 2022

Tropical Cyclone Impact and Forest Resilience in the Southwestern Pacific

Résumé

Tropical cyclones (TCs) can have profound effects on the dynamics of forest vegetation that need to be better understood. Here, we analysed changes in forest vegetation induced by TCs using the normalized difference vegetation index (NDVI). We used an accurate historical database of TC tracks and intensities, together with the Willoughby cyclone model to reconstruct the 2D surface wind speed structure of TCs and analyse how TCs affect forest vegetation. We used segmented linear models to identify significant breakpoints in the relationship between the reconstructed maximum sustained wind speed (Wmax) and the observed changes in NDVI. We tested the hypothesis that the rate of change in damage caused by TCs to forest and recovery time would increase according to Wmax thresholds as defined in the widely used Saffir–Simpson hurricane wind scale (SSHWS). We showed that the most significant breakpoint was located at 50 m/s. This breakpoint corresponds to the transition between categories 2 and 3 TCs in the SSHWS. Below this breakpoint, damages caused to forest vegetation and the time needed to recover from these damages were negligable. We found a second breakpoint, with a sharp increase in damages for winds >75 m/s. This suggested that extremely intense tropical cyclones, which might be more frequent in the future, can cause extreme damages to forest vegetation. Nevertheless, we found high variation in the observed damages and time needed to recover for a given Wmax. Further studies are needed to integrate other factors that might affect the exposure and resistance to TCs as well as forests’ capacity to recover from these disturbances.
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Dates et versions

hal-03601051 , version 1 (08-03-2022)

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Baptiste Delaporte, Thomas Ibanez, Marc Despinoy, Morgan Mangeas, Christophe Menkes. Tropical Cyclone Impact and Forest Resilience in the Southwestern Pacific. Remote Sensing, 2022, 14 (5), ⟨10.3390/rs14051245⟩. ⟨hal-03601051⟩
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