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首页> 外文期刊>Carbon balance and management >Using climate-FVS to project landscape-level forest carbon stores for 100 years from field and LiDAR measures of initial conditions
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Using climate-FVS to project landscape-level forest carbon stores for 100 years from field and LiDAR measures of initial conditions

机译：使用气候FVS从野外条件和LiDAR初始条件测量中预测景观级森林碳储量100年

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Background Forest resources supply a wide range of environmental services like mitigation of increasing levels of atmospheric carbon dioxide (CO2). As climate is changing, forest managers have added pressure to obtain forest resources by following stand management alternatives that are biologically sustainable and economically profitable. The goal of this study is to project the effect of typical forest management actions on forest C levels, given a changing climate, in the Moscow Mountain area of north-central Idaho, USA. Harvest and prescribed fire management treatments followed by plantings of one of four regionally important commercial tree species were simulated, using the climate-sensitive version of the Forest Vegetation Simulator, to estimate the biomass of four different planted species and their C sequestration response to three climate change scenarios. Results Results show that anticipated climate change induces a substantial decrease in C sequestration potential regardless of which of the four tree species tested are planted. It was also found that Pinus monticola has the highest capacity to sequester C by 2110, followed by Pinus ponderosa, then Pseudotsuga menziesii, and lastly Larix occidentalis. Conclusions Variability in the growth responses to climate change exhibited by the four planted species considered in this study points to the importance to forest managers of considering how well adapted seedlings may be to predicted climate change, before the seedlings are planted, and particularly if maximizing C sequestration is the management goal.
机译：背景技术森林资源提供了广泛的环境服务，例如减轻了大气中二氧化碳（CO2）含量的增加。随着气候的变化，森林经营者通过遵循具有生物可持续性和经济效益的林分管理替代方案，增加了获取森林资源的压力。这项研究的目的是在气候变化的情况下，预测美国爱达荷州中北部莫斯科山地区典型森林经营活动对森林碳水平的影响。使用对气候敏感的森林植被模拟器，模拟了采伐和规定的火处理措施，然后种植了四种区域重要的商业树种之一，以估算四种不同种植树种的生物量及其对三种气候的固碳响应更改方案。结果结果表明，预期的气候变化会导致固碳潜力大大降低，而与所测试的四种树种中的哪一种都无关。还发现到2110年，樟子松具有最高的螯合C的能力，其次是黄松，其次是曼氏假单胞菌，最后是西方落叶松。结论本研究中考虑的四个种植物种表现出的对气候变化的生长响应的变异性表明，对于森林管理者而言，考虑在种植幼苗之前，尤其是最大程度地提高C隔离是管理的目标。

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