Hurtado Pilar, Espelta Josep Maria, Jaime Luciana, Martínez-Vilalta Jordi, Kokolaki Manto Samou, Lindner Marcus, Lloret Francisco
CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain.
DIFAR, University of Genoa, Genoa, Italy.
Glob Chang Biol. 2025 May;31(5):e70196. doi: 10.1111/gcb.70196.
Global change is threatening the integrity of forest ecosystems worldwide, amplifying the need for resilience-based management to ensure their conservation and sustain the services they provide. Yet, current efforts are still limited by the lack of implementation of clear frameworks for operationalizing resilience in decision-making processes. To overcome this limitation, we aim to identify reliable and effective drivers of forest resilience, considering their synergies and trade-offs. From a comprehensive review of 342 scientific articles addressing resilience in forests globally, we identified factors shaping forest resilience. We recognized them into two categories that influence forest responses to disturbances: resilience predictors, which can be modified through management, and codrivers, which are measurable but largely unmanageable (e.g., climate). We then performed network analyses based on predictors and codrivers underlying forest resilience. In total, we recognized 5332 such relationships linking predictors or codrivers with forest attributes resilience. Our findings support the central role of biodiversity, with mixed, non-planted, or functionally diverse forests promoting resilience across all contexts and biomes. While management also enhanced resilience, the success of specific interventions was highly context-dependent, suggesting that its application requires a careful analysis of trade-offs. Specifically, practices like cutting and prescribed burning generally enhanced resilience in terms of tree growth, plant diversity, landscape vegetation cover, and stand structure. In contrast, pest and herbivore control reduced the resilience of plant taxonomic diversity while offering only minimal gains for other variables. Even long-term restoration projects showed clear trade-offs in the resilience of different forest attributes, highlighting the need for careful consideration of these effects in practical management decisions. Overall, we emphasize that a reduced number of predictors can be used to effectively promote forest resilience across most attributes. Particularly, enhancing biodiversity and implementing targeted management strategies when biodiversity is impoverished emerge as powerful tools to promote forest resilience.
全球变化正威胁着世界各地森林生态系统的完整性,这使得基于恢复力的管理需求更为迫切,以确保森林得到保护并持续提供其生态服务。然而,目前的努力仍受到限制,因为在决策过程中缺乏将恢复力付诸实践的明确框架。为克服这一限制,我们旨在确定可靠且有效的森林恢复力驱动因素,并考虑它们之间的协同作用和权衡取舍。通过全面回顾342篇关于全球森林恢复力的科学文章,我们确定了塑造森林恢复力的因素。我们将这些因素分为两类,它们影响森林对干扰的反应:恢复力预测因子,可通过管理进行调整;以及共同驱动因素,可测量但在很大程度上无法管理(如气候)。然后,我们基于森林恢复力的预测因子和共同驱动因素进行了网络分析。我们总共识别出5332种将预测因子或共同驱动因素与森林属性恢复力联系起来的关系。我们的研究结果支持了生物多样性的核心作用,混合林、非人工林或功能多样的森林在所有环境和生物群落中都能促进恢复力。虽然管理也能增强恢复力,但具体干预措施的成功高度依赖于具体环境,这表明其应用需要仔细权衡利弊。具体而言,砍伐和规定火烧等做法通常在树木生长、植物多样性、景观植被覆盖和林分结构方面增强了恢复力。相比之下,病虫害和食草动物控制降低了植物分类多样性的恢复力,而对其他变量的提升却微乎其微。即使是长期恢复项目,在不同森林属性的恢复力方面也存在明显的权衡,这凸显了在实际管理决策中仔细考虑这些影响的必要性。总体而言,我们强调,可使用较少数量的预测因子来有效促进大多数属性的森林恢复力。特别是,增强生物多样性以及在生物多样性匮乏时实施有针对性的管理策略,是促进森林恢复力的有力工具。