Ermitão Tiago, Gouveia Célia M, Bastos Ana, Russo Ana C
Faculdade de Ciências, Instituto Dom Luiz, Universidade de Lisboa, Lisbon, Portugal.
Instituto Português do Mar e da Atmosfera, IPMA, Lisbon, Portugal.
Glob Chang Biol. 2024 Dec;30(12):e70013. doi: 10.1111/gcb.70013.
In fire-prone regions such as the Mediterranean biome, fire seasons are becoming longer, and fires are becoming more frequent and severe. Post-fire recovery dynamics is a key component of ecosystem resilience and stability. Even though Mediterranean ecosystems can tolerate high exposure to extreme temperatures and recover from fire, changes in climate conditions and fire intensity or frequency might contribute to loss of ecosystem resilience and increase the potential for irreversible changes in vegetation communities. In this study, we assess the recovery rates of burned vegetation after recurrent fires across Mediterranean regions globally, based on remotely sensed Enhanced Vegetation Index (EVI) data, a proxy for vegetation status, from 2001 to 2022. Recovery rates are quantified through a statistical model of EVI time-series. This approach allows resolving recovery dynamics in time and space, overcoming the limitations of space-for-time approaches typically used to study recovery dynamics through remote sensing. We focus on pixels burning repeatedly over the study period and evaluate how fire severity, pre-fire vegetation greenness, and post-fire climate conditions modulate vegetation recovery rates of different vegetation types. We detect large contrasts between recovery rates, mostly explained by regional differences in vegetation type. Particularly, needle-leaved forests tend to recover faster following the second event, contrasting with shrublands that tend to recover faster from the first event. Our results also show that fire severity can promote a faster recovery across forested ecosystems. An important modulating role of pre-fire fuel conditions on fire severity is also detected, with pixels with higher EVI before the fire resulting in stronger relative greenness loss. In addition, post-fire climate conditions, particularly air temperature and precipitation, were found to modulate recovery speed across all regions, highlighting how direct impacts of fire can compound with impacts from climate anomalies in time and likely destabilise ecosystems under changing climate conditions.
在地中海生物群落等火灾频发地区,火灾季节正变得更长,火灾也变得更加频繁和严重。火灾后的恢复动态是生态系统恢复力和稳定性的关键组成部分。尽管地中海生态系统能够承受高温极端条件并从火灾中恢复,但气候条件、火灾强度或频率的变化可能会导致生态系统恢复力丧失,并增加植被群落发生不可逆转变化的可能性。在本研究中,我们基于2001年至2022年的遥感增强植被指数(EVI)数据(一种植被状态指标),评估了全球地中海地区多次火灾后被烧毁植被的恢复率。恢复率通过EVI时间序列的统计模型进行量化。这种方法能够在时间和空间上解析恢复动态,克服了通常用于通过遥感研究恢复动态的空间换时间方法的局限性。我们关注研究期间反复燃烧的像素,并评估火灾严重程度、火灾前植被绿度和火灾后气候条件如何调节不同植被类型的植被恢复率。我们发现恢复率之间存在很大差异,这主要由植被类型的区域差异所解释。特别是,针叶林在第二次火灾后往往恢复得更快,这与灌木林在第一次火灾后往往恢复得更快形成对比。我们的结果还表明,火灾严重程度可以促进森林生态系统更快地恢复。还检测到火灾前燃料条件对火灾严重程度具有重要的调节作用,火灾前EVI较高的像素会导致更强劲的相对绿度损失。此外,发现火灾后的气候条件,特别是气温和降水,会调节所有地区的恢复速度,突出了火灾的直接影响如何与时气候异常的影响相互叠加,并可能在气候变化条件下破坏生态系统的稳定性。