Collalti Alessio, Trotta Carlo, Keenan Trevor F, Ibrom Andreas, Bond-Lamberty Ben, Grote Ruediger, Vicca Sara, Reyer Christopher P O, Migliavacca Mirco, Veroustraete Frank, Anav Alessandro, Campioli Matteo, Scoccimarro Enrico, Šigut Ladislav, Grieco Elisa, Cescatti Alessandro, Matteucci Giorgio
Impacts on Agriculture, Forests and Ecosystem Services Division Foundation Euro-Mediterranean Center on Climate Change (CMCC) Viterbo Italy.
National Research Council of Italy Institute for Agriculture and Forestry Systems in the Mediterranean (CNR-ISAFOM) Rende Italy.
J Adv Model Earth Syst. 2018 Oct;10(10):2427-2452. doi: 10.1029/2018MS001275. Epub 2018 Oct 15.
Forest carbon use efficiency (CUE, the ratio of net to gross primary productivity) represents the fraction of photosynthesis that is not used for plant respiration. Although important, it is often neglected in climate change impact analyses. Here we assess the potential impact of thinning on projected carbon cycle dynamics and implications for forest CUE and its components (i.e., gross and net primary productivity and plant respiration), as well as on forest biomass production. Using a detailed process-based forest ecosystem model forced by climate outputs of five Earth System Models under four representative climate scenarios, we investigate the sensitivity of the projected future changes in the autotrophic carbon budget of three representative European forests. We focus on changes in CUE and carbon stocks as a result of warming, rising atmospheric CO concentration, and forest thinning. Results show that autotrophic carbon sequestration decreases with forest development, and the decrease is faster with warming and in unthinned forests. This suggests that the combined impacts of climate change and changing CO concentrations lead the forests to grow faster, mature earlier, and also die younger. In addition, we show that under future climate conditions, forest thinning could mitigate the decrease in CUE, increase carbon allocation into more recalcitrant woody pools, and reduce physiological-climate-induced mortality risks. Altogether, our results show that thinning can improve the efficacy of forest-based mitigation strategies and should be carefully considered within a portfolio of mitigation options.
森林碳利用效率(CUE,即净初级生产力与总初级生产力的比率)代表了未用于植物呼吸的光合作用部分。尽管其很重要,但在气候变化影响分析中常常被忽视。在此,我们评估间伐对预测的碳循环动态的潜在影响,以及对森林碳利用效率及其组成部分(即总初级生产力和净初级生产力以及植物呼吸)的影响,还有对森林生物量生产的影响。利用一个基于详细过程的森林生态系统模型,该模型由四个代表性气候情景下五个地球系统模型的气候输出驱动,我们研究了三种代表性欧洲森林自养碳收支预测未来变化的敏感性。我们关注因气候变暖、大气二氧化碳浓度上升和森林间伐导致的碳利用效率和碳储量的变化。结果表明,自养碳固存随着森林发育而减少,在气候变暖和未间伐的森林中减少得更快。这表明气候变化和不断变化的二氧化碳浓度的综合影响导致森林生长更快、成熟更早且死亡也更早。此外,我们表明在未来气候条件下,森林间伐可以减轻碳利用效率的下降,增加碳向更难分解的木质库的分配,并降低生理气候诱导的死亡风险。总体而言,我们的结果表明间伐可以提高基于森林的缓解策略的效果,并且在一系列缓解选项中应仔细考虑间伐。