Conservation Biology Institute, Western Geographic Science Center, Menlo Park, CA, USA.
U.S. Geological Survey, Western Geographic Science Center, Menlo Park, CA, USA.
Glob Chang Biol. 2015 Dec;21(12):4548-60. doi: 10.1111/gcb.13048. Epub 2015 Oct 23.
The dynamic global vegetation model (DGVM) MC2 was run over the conterminous USA at 30 arc sec (~800 m) to simulate the impacts of nine climate futures generated by 3GCMs (CSIRO, MIROC and CGCM3) using 3 emission scenarios (A2, A1B and B1) in the context of the LandCarbon national carbon sequestration assessment. It first simulated potential vegetation dynamics from coast to coast assuming no human impacts and naturally occurring wildfires. A moderate effect of increased atmospheric CO2 on water use efficiency and growth enhanced carbon sequestration but did not greatly influence woody encroachment. The wildfires maintained prairie-forest ecotones in the Great Plains. With simulated fire suppression, the number and impacts of wildfires was reduced as only catastrophic fires were allowed to escape. This greatly increased the expansion of forests and woodlands across the western USA and some of the ecotones disappeared. However, when fires did occur, their impacts (both extent and biomass consumed) were very large. We also evaluated the relative influence of human land use including forest and crop harvest by running the DGVM with land use (and fire suppression) and simple land management rules. From 2041 through 2060, carbon stocks (live biomass, soil and dead biomass) of US terrestrial ecosystems varied between 155 and 162 Pg C across the three emission scenarios when potential natural vegetation was simulated. With land use, periodic harvest of croplands and timberlands as well as the prevention of woody expansion across the West reduced carbon stocks to a range of 122-126 Pg C, while effective fire suppression reduced fire emissions by about 50%. Despite the simplicity of our approach, the differences between the size of the carbon stocks confirm other reports of the importance of land use on the carbon cycle over climate change.
动态全球植被模型 (DGVM) MC2 在 30 弧秒(~800m)分辨率下运行整个美国大陆,模拟了 3GCMs(CSIRO、MIROC 和 CGCM3)生成的 9 种气候情景,这些情景基于 3 种排放情景(A2、A1B 和 B1),应用于国家碳封存评估的 LandCarbon 项目。该模型首先模拟了无人类活动和自然野火影响的、从东海岸到西海岸的潜在植被动态。大气中 CO2 浓度增加适度提高了水分利用效率和生长,从而增强了碳封存,但对木本植物入侵的影响不大。野火维持了大平原的草原-森林生态交错带。在模拟野火抑制的情况下,由于只允许发生灾难性野火,因此野火的数量和影响减少了。这大大增加了美国西部森林和林地的扩张,一些生态交错带消失了。然而,当火灾确实发生时,其影响(范围和消耗的生物量)非常大。我们还通过运行带有土地利用(和野火抑制)以及简单土地管理规则的 DGVM,评估了包括森林和作物收获在内的人类土地利用的相对影响。在模拟潜在自然植被的情况下,从 2041 年到 2060 年,美国陆地生态系统的碳储量(活体生物量、土壤和死体生物量)在三种排放情景下变化范围为 155 到 162PgC。在土地利用的情况下,周期性收获农田和林地,以及防止西部木本植物的扩张,将碳储量减少到 122-126PgC 的范围,而有效的野火抑制减少了约 50%的野火排放。尽管我们的方法很简单,但碳储量的差异证实了其他关于土地利用对气候变化下碳循环重要性的报告。