在澳大利亚Savanna现场对大气中的CO2、CH4、H2O和δ13C-CO2进行一年的光谱高频测量

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2022-10-05 DOI:10.1002/gdj3.180
Niels C. Munksgaard, Ickjai Lee, Thomas Napier, Costijn Zwart, Lucas A. Cernusak, Michael I. Bird
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引用次数: 0

摘要

我们提供了一个1年的澳大利亚稀树草原大气表面CO2、CH4和H2O浓度以及δ13C‐CO2值数据集。这些半干旱生态系统在丰水年份充当碳汇,但在干旱年份碳汇的持续性尚不确定。该数据集可用于限制温室气体预算建模中的不确定性,改进卫星测量算法,并表征植被和土壤在调节大气二氧化碳浓度中的作用。我们发现,在12月初雨季的第一次降雨后,日均二氧化碳浓度出现了明显的季节性变化,并增加了5–7 ppmv,峰值浓度一直保持到1月下旬。CO2的增加反映了初始湿润时土壤和植被来源的微生物快速呼吸的启动。随着雨季的发展,每天的二氧化碳浓度是可变的,但随着光合作用对二氧化碳同化的增加,通常会降低到旱季的水平。雨季的CH4平均日浓度比旱季增加了0.2 ppmv,因为强降雨事件后土壤剖面变得积水。在旱季,夜间的最大CO2/最小δ13C-CO2和白天的最小CO2/最大δ13C-二氧化碳之间有规律的循环。在雨季,由于云量和降雨量的变化,昼夜模式不太规律。CO2同位素数据显示,在雨季,地表CO2主要是受C3植物同化(白天)和土壤/植物呼吸(夜间)影响的双组分混合物,而在旱季,来自较高海拔的区域背景空气代表了额外的CO2来源。与雨季相比,旱季较高的风速增加了垂直混合。此外,低温条件下高海拔空气的夜间平流也促进了旱季的混合。
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One year of spectroscopic high-frequency measurements of atmospheric CO2, CH4, H2O and δ13C-CO2 at an Australian Savanna site

We provide a 1-year dataset of atmospheric surface CO2, CH4 and H2O concentrations and δ13C-CO2 values from an Australian savanna site. These semi-arid ecosystems act as carbon sinks in wet years but the persistence of the sink in dry years is uncertain. The dataset can be used to constrain uncertainties in modelling of greenhouse gas budgets, improve algorithms for satellite measurements and characterize the role of vegetation and soil in modulating atmospheric CO2 concentrations. We found pronounced seasonal variations in daily mean CO2 concentrations with an increase (by 5–7 ppmv) after the first rainfall of the wet season in early December with peak concentrations maintained until late January. The CO2 increase reflected the initiation of rapid microbial respiration from soil and vegetation sources upon initial wetting. As the wet season progressed, daily CO2 concentrations were variable, but generally decreased back to dry season levels as CO2 assimilation by photosynthesis increased. Mean daily concentrations of CH4 increased in the wet season by up to 0.2 ppmv relative to dry season levels as the soil profile became waterlogged after heavy rainfall events. During the dry season there was regular cycling between maximum CO2/minimum δ13C-CO2 at night and minimum CO2/maximum δ13C-CO2 during the day. In the wet season diel patterns were less regular in response to variable cloud cover and rainfall. CO2 isotope data showed that in the wet season, surface CO2 was predominantly a two-component mixture influenced by C3 plant assimilation (day) and soil/plant respiration (night), while regional background air from higher altitudes represented an additional CO2 source in the dry season. Higher wind speeds during the dry season increased vertical mixing compared to the wet season. In addition, night-time advection of high-altitude air during low temperature conditions also promoted mixing in the dry season.

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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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