Global Systems Institute, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
Glob Chang Biol. 2020 Aug;26(8):4436-4448. doi: 10.1111/gcb.15144. Epub 2020 May 28.
Past abrupt 'regime shifts' have been observed in a range of ecosystems due to various forcing factors. Large-scale abrupt shifts are projected for some terrestrial ecosystems under climate change, particularly in tropical and high-latitude regions. However, there is very little high-resolution modelling of smaller-scale future projected abrupt shifts in ecosystems, and relatively less focus on the potential for abrupt shifts in temperate terrestrial ecosystems. Here, we show that numerous climate-driven abrupt shifts in vegetation carbon are projected in a high-resolution model of Great Britain's land surface driven by two different climate change scenarios. In each scenario, the effects of climate and CO combined are isolated from the effects of climate change alone. We use a new algorithm to detect and classify abrupt shifts in model time series, assessing the sign and strength of the non-linear responses. The abrupt ecosystem changes projected are non-linear responses to climate change, not simply driven by abrupt shifts in climate. Depending on the scenario, 374-1,144 grid cells of 1.5 km × 1.5 km each, comprising 0.5%-1.5% of Great Britain's land area show abrupt shifts in vegetation carbon. We find that abrupt ecosystem shifts associated with increases (rather than decreases) in vegetation carbon, show the greatest potential for early warning signals (rising autocorrelation and variance beforehand). In one scenario, 89% of abrupt increases in vegetation carbon show increasing autocorrelation and variance beforehand. Across the scenarios, 81% of abrupt increases in vegetation carbon have increasing autocorrelation and 74% increasing variance beforehand, whereas for decreases in vegetation carbon these figures are 56% and 47% respectively. Our results should not be taken as specific spatial or temporal predictions of abrupt ecosystem change. However, they serve to illustrate that numerous abrupt shifts in temperate terrestrial ecosystems could occur in a changing climate, with some early warning signals detectable beforehand.
过去,由于各种强制因素,一系列生态系统中都观察到了突然的“制度转变”。在气候变化下,一些陆地生态系统预计会发生大规模的突然转变,特别是在热带和高纬度地区。然而,对于生态系统中较小规模的未来预测的突然转变,以及对温带陆地生态系统中突然转变的潜力,几乎没有高分辨率的建模。在这里,我们展示了在由两种不同气候变化情景驱动的英国土地表面的高分辨率模型中,预计植被碳会发生许多气候驱动的突然转变。在每种情况下,都将 CO 与气候的综合影响与气候单独变化的影响隔离开来。我们使用一种新算法来检测和分类模型时间序列中的突然转变,评估非线性响应的符号和强度。预测的突然生态系统变化是对气候变化的非线性响应,而不仅仅是由气候变化的突然转变驱动的。根据情景的不同,1.5km×1.5km 的网格单元有 374-1144 个,占英国陆地面积的 0.5%-1.5%,这些网格单元的植被碳会发生突然转变。我们发现,与植被碳增加(而不是减少)相关的突然生态系统转变,显示出出现早期预警信号(提前增加自相关和方差)的最大潜力。在一种情景中,89%的植被碳突然增加表现出提前增加的自相关和方差。在所有情景中,81%的植被碳突然增加具有提前增加的自相关,74%具有提前增加的方差,而对于植被碳的减少,这些比例分别为 56%和 47%。我们的结果不应被视为突然生态系统变化的具体时空预测。然而,它们表明,在气候变化下,温带陆地生态系统可能会发生许多突然转变,并且可以提前检测到一些早期预警信号。