Improving nitrogen cycling in a land surface model (CLM5) to quantify soil N2O, NO, and NH3 emissions from enhanced rock weathering with croplands

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Maria Val Martin, Elena Blanc-Betes, Ka Ming Fung, Euripides P. Kantzas, Ilsa B. Kantola, Isabella Chiaravalloti, Lyla T. Taylor, Louisa K. Emmons, William R. Wieder, Noah J. Planavsky, Michael D. Masters, Evan H. DeLucia, Amos P. K. Tai, David J. Beerling
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引用次数: 2

Abstract

Abstract. Surficial enhanced rock weathering (ERW) is a land-based carbon dioxide removal (CDR) strategy that involves applying crushed silicate rock (e.g., basalt) to agricultural soils. However, unintended biogeochemical interactions with the nitrogen cycle may arise through ERW increasing soil pH as basalt grains undergo dissolution that may reinforce, counteract, or even offset the climate benefits from carbon sequestration. Increases in soil pH could drive changes in the soil emissions of key non-CO2 greenhouse gases, e.g., nitrous oxide (N2O), and trace gases, e.g., nitric oxide (NO) and ammonia (NH3), that affect air quality and crop and human health. We present the development and implementation of a new improved nitrogen cycling scheme for the Community Land Model v5 (CLM5), the land component of the Community Earth System Model, allowing evaluation of ERW effects on soil gas emissions. We base the new parameterizations on datasets derived from soil pH responses of N2O, NO, and NH3 in ERW field trial and mesocosm experiments with crushed basalt. These new capabilities involve the direct implementation of routines within the CLM5 N cycle framework, along with asynchronous coupling of soil pH changes estimated through an ERW model. We successfully validated simulated “control” (i.e., no ERW) seasonal cycles of soil N2O, NO, and NH3 emissions against a wide range of global emission inventories. We benchmark simulated mitigation of soil N2O fluxes in response to ERW against a subset of data from ERW field trials in the US Corn Belt. Using the new scheme, we provide a specific example of the effect of large-scale ERW deployment with croplands on soil nitrogen fluxes across five key regions with high potential for CDR with ERW (North America, Brazil, Europe, India, and China). Across these regions, ERW implementation led to marked reductions in N2O and NO (both 18 %), with moderate increases in NH3 (2 %). While further developments are still required in our implementations when additional ERW data become available, our improved N cycle scheme within CLM5 has utility for investigating the potential of ERW point-source and regional effects of soil N2O, NO, and NH3 fluxes in response to current and future climates. This framework also provides the basis for assessing the implications of ERW for air quality given the role of NO in tropospheric ozone formation, as well as both NO and NH3 in inorganic aerosol formation.
在陆地表面模型(CLM5)中改善氮循环,量化农田增强岩石风化导致的土壤N2O、NO和NH3排放
摘要表面增强岩石风化(ERW)是一种基于陆地的二氧化碳去除(CDR)策略,涉及将破碎的硅酸盐岩石(例如玄武岩)应用于农业土壤。然而,由于玄武岩颗粒的溶解,可能会加强、抵消甚至抵消碳封存带来的气候效益,因此,通过ERW增加土壤pH值,可能会出现意想不到的生物地球化学与氮循环的相互作用。土壤pH值的增加可能会导致土壤中主要非二氧化碳温室气体(如氧化亚氮(N2O))和微量气体(如氧化氮(NO)和氨(NH3))排放的变化,从而影响空气质量、作物和人类健康。我们为社区土地模型v5 (CLM5)(社区地球系统模型的土地组成部分)开发和实施了一个新的改进的氮循环方案,允许评估ERW对土壤气体排放的影响。我们基于在ERW现场试验和破碎玄武岩中观实验中获得的N2O、NO和NH3土壤pH值响应数据集进行了新的参数化。这些新功能包括直接实施CLM5 N循环框架内的例程,以及通过ERW模型估计的土壤pH变化的异步耦合。我们成功地验证了模拟的“控制”(即无ERW)土壤N2O、no和NH3排放的季节循环,以对照广泛的全球排放清单。我们以美国玉米带ERW田间试验的数据子集为基准,模拟了土壤N2O通量对ERW响应的缓解。利用新方案,我们提供了一个具体的例子,说明在农田大规模部署战争遗留爆炸物对五个具有高潜力的关键地区(北美、巴西、欧洲、印度和中国)土壤氮通量的影响。在这些地区,ERW的实施导致N2O和NO的显著减少(均为18%),NH3的适度增加(2%)。当获得更多的ERW数据时,我们的实施还需要进一步的发展,但我们在CLM5中改进的N循环方案对于研究ERW点源的潜力以及响应当前和未来气候的土壤N2O、NO和NH3通量的区域影响具有实用价值。考虑到NO在对流层臭氧形成中的作用,以及NO和NH3在无机气溶胶形成中的作用,该框架也为评估战争遗留物质对空气质量的影响提供了基础。
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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