AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France.
Plant Ecology and Biogeochemistry Lab, Faculty of Sciences, Université Libre de Bruxelles, Brussels, Belgium.
Glob Chang Biol. 2024 May;30(5):e17317. doi: 10.1111/gcb.17317.
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.
每年,平均有 45 个热带气旋影响沿海地区,并可能对森林造成影响。在过去的四十年中,最强烈的气旋比例有所增加,预计这种情况还将继续。然而,地形暴露和树木特征如何调节风速增加所造成的破坏仍然不确定。在这里,我们汇编了过去 40 年来发生的 11 次气旋造成的破坏的经验数据,这些数据来自代表全球热带地区的 74 个森林样地,包括 22176 棵树和 815 个物种的实地数据。我们重建了这些热带气旋的风结构,以估计研究样地的最大持续风速 (MSW) 和风向。然后,我们使用因果推理框架结合贝叶斯广义线性混合模型来理解和量化 MSW、风的地形暴露 (EXP)、树木大小 (DBH) 和物种木材密度 (ρ) 对社区水平树木受损比例以及树木水平折断或连根拔起的概率的因果效应。树木水平的折断或连根拔起的概率,因此,社区水平的受损树木的比例,随着 MSW 的增加而增加,随着 EXP 的增加,气旋的破坏效应加剧,特别是在更高的风速下。更高的 ρ 降低了折断的概率,而降低连根拔起的概率则较小。较大的树木往往折断的概率较低,但连根拔起的概率增加。重要的是,ρ 降低折断概率的效果对于较小的树木比较大的树木更为明显,并且在更高的 MSW 下进一步加剧。我们的工作强调了当地地形、树木大小和物种木材密度如何共同调节热带森林的气旋破坏,从而更好地预测在一个风越来越大的世界中此类干扰的影响。