Modelling Growing Season Carbon Fluxes at a Low-Center Polygon Ecosystem in the Mackenzie River Delta

IF 2.7 3区地球科学 Q2 ECOLOGY

Arctic Science Pub Date : 2023-05-19 DOI:10.1139/as-2022-0033

June Skeeter, A. Christen, G. Henry

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引用次数: 0

Abstract

A temporal upscaling study was conducted to estimate net ecosystem exchange (NEE) of carbon dioxide and net methane exchange (NME) for a Low-Center Polygon (LCP) ecosystem in the Mackenzie River Delta, for each of eleven growing seasons (2009 to 2019). We used regression models to create a time series of flux drivers from in-situ weather observations (2009-2019) combined with ERA5 reanalysis and satellite data. We then used neural network that were trained and validated on a single growing season (2017) of eddy covariance data to model NEE and NME over each growing season. The study indicates growing season NEE was negative (net uptake) and NME was positive (net emission) in this LCP ecosystem. Cumulative carbon (C) uptake was estimated to be -46.7 g C m-2 [CI95% ± 45.3] per growing season, with methane emissions offsetting an average 5.6% of carbon dioxide uptake (in g C m-2) per growing season. High air temperatures (> 15 °C) reduced daily CO2 uptake and cumulative NEE was positively correlated with mean air growing season temperatures. Cumulative NME was positively correlated with the length of the growing season. Our analysis suggests warmer climate conditions may reduce carbon uptake in this LCP ecosystem.

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麦肯齐河三角洲低中心多边形生态系统生长季碳通量模拟

对麦肯齐河三角洲低中心多边形(LCP)生态系统的二氧化碳净生态系统交换(NEE)和甲烷净生态系统交换(NME)进行了时间升级研究，估算了11个生长季节(2009 - 2019)中每个季节的净生态系统交换(NEE)。结合ERA5再分析和卫星数据，利用回归模型建立了2009-2019年现场天气观测的通量驱动因素时间序列。然后，我们使用在单个生长季节(2017年)的涡动相关方差数据上进行训练和验证的神经网络来模拟每个生长季节的NEE和NME。研究表明，该生态系统生长季NEE为负(净吸收)，NME为正(净排放)。估计每个生长季累积碳(C)吸收量为-46.7 g C m-2 [CI95%±45.3]，其中甲烷排放抵消了每个生长季平均5.6%的二氧化碳吸收量(g C m-2)。高温(50 ~ 15°C)降低了日CO2吸收量，累积NEE与平均空气生长季节温度呈正相关。累积NME与生长季长度呈正相关。我们的分析表明，温暖的气候条件可能会减少LCP生态系统的碳吸收。

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来源期刊

Arctic Science Agricultural and Biological Sciences-General Agricultural and Biological Sciences

CiteScore

5.00

自引率

12.10%

发文量

期刊介绍： Arctic Science is an interdisciplinary journal that publishes original peer-reviewed research from all areas of natural science and applied science & engineering related to northern Polar Regions. The focus on basic and applied science includes the traditional knowledge and observations of the indigenous peoples of the region as well as cutting-edge developments in biological, chemical, physical and engineering science in all northern environments. Reports on interdisciplinary research are encouraged. Special issues and sections dealing with important issues in northern polar science are also considered.