东北温带森林对21世纪气候变化和能源政策未来情景的响应

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Linghui Meng , Afshin Pourmokhtarian , Pamela H. Templer , Lucy R. Hutyra , Charles T. Driscoll
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引用次数: 0

摘要

东北温带森林提供的重要生态系统服务日益受到气候变化和空气污染的威胁。为了评估综合生态系统对这些变化的响应,我们应用PnET-CN-daily模型预测了哈佛森林(Petersham, MA, USA)整个21世纪的碳、氮和水循环动态。这些预测是基于未来气候情景(RCP4.5、RCP8.5)和不同的能源政策情景(当前美国政策、脱碳政策)。模拟表明,在整个21世纪,森林生态系统中的碳储量将继续增加,但这种增加将越来越受到氮供应的限制。预计能源政策情景将使大气氮沉降继续下降,这将减缓碳积累并进一步加速正在进行的氮少营养化。因此,未来的管理可能需要考虑增加氮素限制对东北温带森林固碳潜力和结构功能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The response of a northeastern temperate forest to future scenarios of climate change and energy policies through the 21st century
Northeastern temperate forests provide essential ecosystem services that are increasingly threatened by climate change and air pollution. To evaluate integrated ecosystem responses to these changes, we applied the PnET-CN-daily model to project carbon, nitrogen, and water cycling dynamics at Harvard Forest (Petersham, MA, USA) throughout the 21st century. The projections were based on future climate scenarios (RCP4.5, RCP8.5) and different energy policies scenarios (current U.S. policies, decarbonization policies). Simulations suggest that carbon storage in forest ecosystems will continue to increase throughout the 21st century, but the increase will become increasingly limited by nitrogen availability. The energy policy scenarios are projected to continue a decline in atmospheric nitrogen deposition, which will slow carbon accumulation and further accelerate the ongoing nitrogen oligotrophication. Therefore, future management may need to consider the effects of increasing nitrogen limitation on the carbon sequestration potential and the structure and function of northeastern temperate forests.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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