Methane Production in the Arctic: Under-recognized Cold Season and Upland Tundra - Arctic Methane Sources-UAMS

北极的甲烷生产：未被充分认识的寒冷季节和高地苔原 - 北极甲烷来源-UAMS

• 批准号: NE/P003028/1
• 负责人: Walter Oechel
• 金额: $ 69.7万
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FP003028%2F1
• 关键词: Methane; Production; Arctic; Under; recognized

In this project, we will use state of the art approaches and knowledge to better understand the current patterns of and controls on methane (CH4) release from the Arctic to the atmosphere and to improve major models to better simulate future releases of CH4 from the Arctic as the planet warms. Atmospheric methane (CH4) is the second most important greenhouse gas (after CO2) that has strong anthropogenic origins. High northern latitude terrestrial ecosystems account for ca. 50% of extra-tropical biogenic wetland emissions. More importantly methane emissions from the Arctic could increase dramatically in the future. The very large organic carbon stocks (>1,300 GtC) in the top 3 m of Arctic soils and the rapid climate change experienced and predicted in the Arctic, results in a very real possibility of large biogenic CH4 release from these soils in this century. Despite the importance of CH4 fluxes from the Arctic, now and in the future, biogenic and total natural CH4 emissions are poorly understood and very poorly modelled (Fisher et al., 2014).In 2013, we updated five eddy covariance (EC) towers in Arctic Alaska to operate reliably year-round and measure CH4 fluxes. Initial measurements yielded two unexpected and highly significant findings: 1) cold season CH4 emissions account for >50% of annual emissions and 2) drier upland tundra are larger emitters of CH4 than wetter inundated tundra (Zona et al 2016 PNAS). These observations and processes are not now incorporated in leading global land-surface/carbon-cycle models used to calculate current and predict future CH4 emissions from the Arctic. Verifying this new understanding and incorporating this understanding into models used in the UK and elsewhere will revolutionize our ability to accurately calculate and model terrestrial CH4 fluxes. These results, if supported by the outputs of this project, are critical to verifying current baseline emissions, detecting a changing baseline, and for predicting, with confidence, biogenic CH4 emissions from the Arctic in the future. This project has two overarching objectives: (1) determining the patterns of, controls on, and importance of cold season and upland tundra in Arctic CH4 emissions; (2) incorporating this understanding into JULES, LPJ and TCF, thus significantly improving our ability to estimate current and predict future CH4 fluxes in the Arctic. This work is expected to impact policy through new information and model development, reported through conferences and publications and referenced in upcoming IPCC reports. In the project, we will continue year-round observation of methane release to the atmosphere, and the atmospheric and soil environment that corresponds to these fluxes. We will initiate new experiments and observations to understand the processes and conditions controlling the observed CH4 fluxes including a new system of measurement of CO2, CH4, and 222Rn concentrations that allow autonomous, year-round, determination of CH4 production, consumption, and flux by soil depth and snow layer. We will measure year-round [CH4] and d13CH4 will help identify the importance of methane oxidation in surface soil layers at different locations and seasons. And we will determine the role of GPP in controlling rates of CH4 production. We will also determine the importance of vascular plants in providing a conduit for CH4 produced at depth, to escape to the atmosphere past an oxidizing surface layer. This new information will inform model development and improvement of models used by the Arctic community. Performance of these models will verified with unique data sets not used in model development. As a result, we intend UAMS to have a major impact on the communities' ability to calculate current and to predict with confidence future Arctic CH4 emissions in a changing world and thereby better inform policy decisions.

在这个项目中，我们将使用最先进的方法和知识来更好地了解当前从北极向大气释放甲烷(CH4)的模式和控制，并改进主要模型，以更好地模拟未来随着地球变暖而从北极释放的CH4。大气甲烷(CH4)是仅次于二氧化碳的第二大温室气体，具有很强的人为来源。北纬高纬度陆地生态系统约占热带外生物湿地排放量的50%。更重要的是，未来北极的甲烷排放量可能会大幅增加。北极土壤表层3米处非常大的有机碳储量(&gt；1300GTC)，以及北极经历和预测的快速气候变化，导致这些土壤在本世纪有非常大的生物来源CH4释放的可能性。尽管来自北极的CH4通量很重要，但现在和未来，对生物来源和自然CH4排放总量的了解很少，建模也非常糟糕(Fisher等人，2014)。2013年，我们更新了阿拉斯加北极的五个涡流协方差(EC)塔，以全年可靠地运行并测量CH4通量。初步测量产生了两个意想不到的非常重要的发现：1)冷季CH4排放占年排放量的50%；2)较干燥的旱地冻土带比较潮湿的淹没冻土带排放更大的CH4(Zona等人，2016 PNAS)。这些观测和过程现在没有被纳入用于计算当前和预测北极CH4排放量的主要全球陆地表面/碳循环模型。验证这一新的理解，并将这一理解纳入英国和其他地方使用的模型中，将彻底改变我们准确计算和模拟陆地CH4通量的能力。这些结果如果得到该项目产出的支持，对于核实当前的基线排放、检测不断变化的基线以及信心十足地预测未来北极生物来源的CH4排放是至关重要的。该项目有两个主要目标：(1)确定北极CH4排放中冷季和高地冻土带的模式、控制和重要性；(2)将这一认识纳入Jules、LPJ和TCF，从而显著提高我们估计当前和预测北极CH4通量的能力。预计这项工作将通过制定新的信息和模式来影响政策，这些信息和模式通过会议和出版物报告，并在即将发布的气专委报告中提及。在该项目中，我们将继续全年观测甲烷向大气中的释放，以及与这些通量相对应的大气和土壤环境。我们将启动新的实验和观测，以了解控制观测到的CH4通量的过程和条件，包括一种新的二氧化碳、CH4和222Rn浓度测量系统，该系统可以全年自主地根据土壤深度和雪层确定CH4的生产、消耗和通量。我们将全年测量[CH4]，d13CH4将有助于确定不同地点和季节表层土壤甲烷氧化的重要性。我们将确定GPP在控制CH4产生速度方面的作用。我们还将确定维管植物在为在深处产生的甲烷提供管道以通过氧化表层逃逸到大气中的重要性。这一新信息将为北极共同体使用的模型的发展和改进提供信息。这些模型的性能将用模型开发中未使用的独特数据集进行验证。因此，我们希望UAMS对社区在不断变化的世界中计算当前和自信地预测未来北极CH4排放量的能力产生重大影响，从而更好地为政策决策提供参考。

项目成果

Tundra water budget and implications of precipitation underestimation.

• DOI: 10.1002/2016wr020001
• 发表时间: 2017-08
• 期刊: Water resources research
• 影响因子: 5.4
• 作者: Liljedahl AK;Hinzman LD;Kane DL;Oechel WC;Tweedie CE;Zona D
• 通讯作者: Zona D

Seasonality buffers carbon budget variability across heterogeneous landscapes in Alaskan Arctic tundra

• DOI: 10.1088/1748-9326/abe2d1
• 发表时间: 2021-02
• 期刊: Environmental Research Letters
• 影响因子: 6.7
• 作者: Josh Hashemi;D. Zona;K. Arndt;A. Kalhori;W. Oechel

Sensitivity of Methane Emissions to Later Soil Freezing in Arctic Tundra Ecosystems

• DOI: 10.1029/2019jg005242
• 发表时间: 2019-08-01
• 期刊: JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
• 影响因子: 3.7
• 作者: Arndt, Kyle A.;Oechel, Walter C.;Zona, Donatella
• 通讯作者: Zona, Donatella

Arctic greening associated with lengthening growing seasons in Northern Alaska

• DOI: 10.1088/1748-9326/ab5e26
• 发表时间: 2019-12-01
• 期刊: ENVIRONMENTAL RESEARCH LETTERS
• 影响因子: 6.7
• 作者: Arndt, Kyle A.;Santos, Maria J.;Zona, Donatella
• 通讯作者: Zona, Donatella

Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

• DOI: 10.1016/j.agrformet.2021.108528
• 发表时间: 2021-07-10
• 期刊: AGRICULTURAL AND FOREST METEOROLOGY
• 影响因子: 6.2
• 作者: Irvin, Jeremy;Zhou, Sharon;Jackson, Robert B.
• 通讯作者: Jackson, Robert B.