Ecosystem Dynamics and Forest Management Group, School of Life Sciences, Technical University of Munich, Freising, Germany.
Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
Glob Chang Biol. 2024 Aug;30(8):e17468. doi: 10.1111/gcb.17468.
Climate change has profound impacts on forest ecosystem dynamics and could lead to the emergence of novel ecosystems via changes in species composition, forest structure, and potentially a complete loss of tree cover. Disturbances fundamentally shape those dynamics: the prevailing disturbance regime of a region determines the inherent variability of a system, and its climate-mediated change could accelerate forest transformation. We used the individual-based forest landscape and disturbance model iLand to investigate the resilience of three protected temperate forest landscapes on three continents-selected to represent a gradient from low to high disturbance activity-to changing climate and disturbance regimes. In scenarios of sustained strong global warming, natural disturbances increased across all landscapes regardless of projected changes in precipitation (up to a sevenfold increase in disturbance rate over the 180-year simulation period). Forests in landscapes with historically high disturbance activity had a higher chance of remaining resilient in the future, retaining their structure and composition within the range of variability inherent to the system. However, the risk of regime shift and forest loss was also highest in these systems, suggesting forests may be vulnerable to abrupt change beyond a threshold of increasing disturbance activity. Resilience generally decreased with increasing severity of climate change. Novelty in tree species composition was more common than novelty in forest structure, especially under dry climate scenarios. Forests close to the upper tree line experienced high novelty in structure across all three study systems. Our results highlight common patterns and processes of forest change, while also underlining the diverse and context-specific responses of temperate forest landscapes to climate change. Understanding past and future disturbance regimes can anticipate the magnitude and direction of forest change. Yet, even across a broad gradient of disturbance activity, we conclude that climate change mitigation is the most effective means of maintaining forest resilience.
气候变化对森林生态系统动态有深远的影响,并可能导致新的生态系统出现,这是通过物种组成、森林结构的变化,以及可能完全丧失树木覆盖来实现的。干扰从根本上塑造了这些动态:一个地区普遍的干扰格局决定了系统的固有可变性,而其受气候调节的变化可能会加速森林的转化。我们使用基于个体的森林景观和干扰模型 iLand,研究了三个受保护的温带森林景观的恢复力,这些景观选择代表了从低到高干扰活动的梯度,以研究气候变化和干扰格局的变化。在持续强烈的全球变暖情景下,所有景观中的自然干扰都增加了,而不论降水的预计变化如何(在 180 年的模拟期间,干扰率增加了七倍)。在历史上干扰活动较高的景观中,森林在未来保持恢复力的机会更高,其结构和组成保留在系统固有可变性范围内。然而,这些系统中也存在最高的制度转变和森林损失风险,这表明森林可能容易受到超出干扰活动增加阈值的突然变化的影响。恢复力通常随着气候变化的严重程度的增加而降低。树种组成的新颖性比森林结构的新颖性更为常见,尤其是在干旱气候情景下。在所有三个研究系统中,接近树木上限的森林结构都具有较高的新颖性。我们的研究结果突出了森林变化的常见模式和过程,同时也强调了温带森林景观对气候变化的多样化和特定于情境的反应。了解过去和未来的干扰格局可以预测森林变化的幅度和方向。然而,即使在广泛的干扰活动梯度下,我们的结论仍然是,减缓气候变化是维持森林恢复力的最有效手段。