Centre for Forest Research, Université du Québec à Montréal, Montréal, QC, Canada.
Institute for Alpine Environment, Eurac Research, Bozen/Bolzano, Italy.
Glob Chang Biol. 2022 Jul;28(14):4323-4341. doi: 10.1111/gcb.16197. Epub 2022 Apr 25.
Natural disturbances exacerbated by novel climate regimes are increasing worldwide, threatening the ability of forest ecosystems to mitigate global warming through carbon sequestration and to provide other key ecosystem services. One way to cope with unknown disturbance events is to promote the ecological resilience of the forest by increasing both functional trait and structural diversity and by fostering functional connectivity of the landscape to ensure a rapid and efficient self-reorganization of the system. We investigated how expected and unexpected variations in climate and biotic disturbances affect ecological resilience and carbon storage in a forested region in southeastern Canada. Using a process-based forest landscape model (LANDIS-II), we simulated ecosystem responses to climate change and insect outbreaks under different forest policy scenarios-including a novel approach based on functional diversification and network analysis-and tested how the potentially most damaging insect pests interact with changes in forest composition and structure due to changing climate and management. We found that climate warming, lengthening the vegetation season, will increase forest productivity and carbon storage, but unexpected impacts of drought and insect outbreaks will drastically reduce such variables. Generalist, non-native insects feeding on hardwood are the most damaging biotic agents for our region, and their monitoring and early detection should be a priority for forest authorities. Higher forest diversity driven by climate-smart management and fostered by climate change that promotes warm-adapted species, might increase disturbance severity. However, alternative forest policy scenarios led to a higher functional and structural diversity as well as functional connectivity-and thus to higher ecological resilience-than conventional management. Our results demonstrate that adopting a landscape-scale perspective by planning interventions strategically in space and adopting a functional trait approach to diversify forests is promising for enhancing ecological resilience under unexpected global change stressors.
自然干扰加剧了新型气候模式,在全球范围内日益增多,威胁到森林生态系统通过碳固存缓解全球变暖以及提供其他关键生态系统服务的能力。应对未知干扰事件的一种方法是通过增加功能特征和结构多样性,并促进景观的功能连通性,来提高森林的生态恢复力,以确保系统快速有效地自我组织。我们研究了预期和意外的气候变化和生物干扰如何影响加拿大东南部一个森林地区的生态恢复力和碳储存。我们使用基于过程的森林景观模型(LANDIS-II),模拟了生态系统对气候变化和虫害爆发的反应,在不同的森林政策情景下——包括一种基于功能多样化和网络分析的新方法——并测试了由于气候变化和管理的变化而导致的森林组成和结构的潜在最具破坏性的害虫如何相互作用。我们发现,气候变暖,延长了植被季节,将增加森林生产力和碳储存,但干旱和虫害爆发的意外影响将大大降低这些变量。以硬木为食的非本地一般昆虫是对我们地区最具破坏性的生物因素,它们的监测和早期检测应成为森林当局的优先事项。气候智能管理驱动的森林多样性的提高,并受到促进温暖适应物种的气候变化的促进,可能会增加干扰的严重程度。然而,替代森林政策情景导致了更高的功能和结构多样性以及功能连通性——因此,与传统管理相比,具有更高的生态恢复力。我们的研究结果表明,通过在空间上有策略地规划干预措施并采用功能特征方法使森林多样化,从景观尺度的角度来看,这是提高生态恢复力以应对意外的全球变化压力的一种有希望的方法。