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北方森林恢复力对森林增加和减少的不对称敏感性。

Asymmetric sensitivity of boreal forest resilience to forest gain and loss.

作者信息

Liu Xiaoye, Wang Dashan, Chen Anping, Zeng Zhenzhong

机构信息

School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.

Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA.

出版信息

Nat Ecol Evol. 2025 Mar;9(3):505-514. doi: 10.1038/s41559-024-02631-1. Epub 2025 Jan 15.

Abstract

Forest gains and losses may have unequal effects on forest resilience, particularly given their distinct temporal dynamics. Here, we quantify the sensitivities of boreal forest resilience to forest cover gain and loss using a resilience indicator derived from the temporal autocorrelation (TAC) of the kernel normalized difference vegetation index from 2000 to 2020. Our findings unveil pronounced asymmetric sensitivities, with stronger sensitivity to forest loss (-4.26 ± 0.14 × 10; TAC increase per 1% forest cover loss) than to forest gain (-1.65 ± 0.12 × 10; TAC decrease per 1% forest cover gain). Locally, ~73% of the boreal forest exhibits negative sensitivity, indicating enhanced resilience with forest cover gain and vice versa, especially in intact forests compared to managed ones. This sensitivity is affected by various trajectories in forest cover change, stemming primarily from temporal asynchrony in the recovery rates of various ecosystem functions. The observed asymmetry underscores the importance of prioritizing forest conservation over reactive management strategies following losses, ultimately contributing to more sustainable forest management practices.

摘要

森林的增减可能对森林恢复力产生不平等的影响,尤其是考虑到它们不同的时间动态。在此,我们使用从2000年至2020年内核归一化植被指数的时间自相关(TAC)得出的恢复力指标,量化北方森林恢复力对森林覆盖增加和减少的敏感性。我们的研究结果揭示了明显的不对称敏感性,对森林损失的敏感性更强(-4.26±0.14×10;每1%森林覆盖损失导致TAC增加),而对森林增加的敏感性较弱(-1.65±0.12×10;每1%森林覆盖增加导致TAC减少)。在局部地区,约73%的北方森林表现出负敏感性,表明森林覆盖增加时恢复力增强,反之亦然,特别是与人工林相比,原始森林更是如此。这种敏感性受到森林覆盖变化的各种轨迹的影响,主要源于各种生态系统功能恢复率的时间异步性。观察到的不对称性强调了在损失后优先进行森林保护而非被动管理策略的重要性,最终有助于实现更可持续的森林管理实践。

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