Univ Guyane, UMR 'Ecologie des Forêts de Guyane' (AgroParisTech, Cirad, CNRS, Inra, Univ Antilles), Kourou, 97310, France.
AMAP, IRD, CNRS, CIRAD, INRA, Univ Montpellier, Montpellier, France.
Sci Rep. 2019 Jul 15;9(1):10235. doi: 10.1038/s41598-019-46597-8.
Increasing evidence shows that the functioning of the tropical forest biome is intimately related to the climate variability with some variables such as annual precipitation, temperature or seasonal water stress identified as key drivers of ecosystem dynamics. How tropical tree communities will respond to the future climate change is hard to predict primarily because several demographic processes act together to shape the forest ecosystem general behavior. To overcome this limitation, we used a joint individual-based model to simulate, over the next century, a tropical forest community experiencing the climate change expected in the Guiana Shield. The model is climate dependent: temperature, precipitation and water stress are used as predictors of the joint growth and mortality rates. We ran simulations for the next century using predictions of the IPCC 5AR, building three different climate scenarios (optimistic RCP2.6, intermediate, pessimistic RCP8.5) and a control (current climate). The basal area, above-ground fresh biomass, quadratic diameter, tree growth and mortality rates were then computed as summary statistics to characterize the resulting forest ecosystem. Whatever the scenario, all ecosystem process and structure variables exhibited decreasing values as compared to the control. A sensitivity analysis identified the temperature as the strongest climate driver of this behavior, highlighting a possible temperature-driven drop of 40% in average forest growth. This conclusion is alarming, as temperature rises have been consensually predicted by all climate scenarios of the IPCC 5AR. Our study highlights the potential slow-down danger that tropical forests will face in the Guiana Shield during the next century.
越来越多的证据表明,热带雨林生物群落的功能与气候变率密切相关,一些变量,如年降水量、温度或季节性水分胁迫,被确定为生态系统动态的关键驱动因素。热带树木群落将如何应对未来的气候变化是很难预测的,主要是因为几个人口统计过程共同作用,塑造了森林生态系统的一般行为。为了克服这一局限性,我们使用了一个联合的个体模型,模拟在圭亚那盾经历预期气候变化的情况下,一个热带森林群落在未来一个世纪的情况。该模型依赖于气候:温度、降水和水分胁迫被用作联合生长和死亡率的预测因子。我们使用 IPCC 5AR 的预测数据,运行了未来一个世纪的模拟,构建了三个不同的气候情景(乐观的 RCP2.6、中间、悲观的 RCP8.5)和一个对照(当前气候)。然后,计算了基面积、地上新鲜生物量、二次直径、树木生长和死亡率等作为总结性统计数据,以描述由此产生的森林生态系统。无论情景如何,所有生态系统过程和结构变量的值都与对照相比有所下降。敏感性分析确定温度是这种行为的最强气候驱动因素,突出了可能因温度升高而导致平均森林生长下降 40%的情况。这一结论令人警惕,因为所有 IPCC 5AR 气候情景都一致预测了气温上升。我们的研究强调了圭亚那盾热带森林在未来一个世纪可能面临的潜在减速危险。