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印度喜马拉雅山西北部亚热带林冠层大气 CO 浓度的季节动态及其影响因素:涡度相关塔和 OCO-2 卫星观测。

Seasonal dynamics and impact factors of atmospheric CO concentration over subtropical forest canopies: observation from eddy covariance tower and OCO-2 satellite in Northwest Himalaya, India.

机构信息

Indian Institute of Remote Sensing, Indian Space Research Organisation, 4 Kalidas Road, Dehradun, Uttarakhand, India.

Forestry and Ecology Department, Indian Institute of Remote Sensing, Indian Space Research Organisation, 4 Kalidas Road, Dehradun, Uttarakhand, India.

出版信息

Environ Monit Assess. 2021 Feb 2;193(2):106. doi: 10.1007/s10661-021-08896-4.

Abstract

Carbon dioxide (CO) is the key atmospheric gas that controls the earth's greenhouse effect, and forests play a major role in abating the atmospheric CO by storing carbon as biomass. Therefore, it is vital to understand the role of different forests in regulating the spatiotemporal dynamics of atmospheric CO concentration. In this study, we have used eddy covariance (EC) tower-based atmospheric CO concentration measurements and satellite-retrieved column average CO concentration of 2018 to understand the diurnal and seasonal dynamics of atmospheric CO concentration over the sub-tropical forest in the foothills of northwest Himalaya, Uttarakhand, India. EC study revealed that the CO concentration over the forest canopy peaks during mid-night to early morning and drop to a minimum during the afternoon. On a monthly scale, peak atmospheric CO concentration was observed during July in both the sites, which was a result of more release of CO by the forest ecosystem through ecosystem respiration and microbial decomposition. Enhanced photosynthetic activities during the late monsoon and post-monsoon resulted in the decrease of atmospheric CO concentration over the forest ecosystem. Among the meteorological variables, rainfall was found to have the highest control over the seasonal variability of the atmospheric CO concentration. Orbiting Carbon Observatory-2 (OCO-2) satellite-retrieved column average CO (XCO) was also examined to comprehend its reliability on an ecosystem scale. The OCO-2 retrieved XCO value was higher than the EC carbon flux tower-measured atmospheric CO concentration, which might be due to differences in the vertical resolution of the CO column and scale difference. However, the monthly atmospheric XCO retrieved from OCO-2 strongly adheres with the ground-measured monthly pattern. Our study highlights that forests with varying functional traits within the same climatic conditions show variability in the regulation of atmospheric CO concentration.

摘要

二氧化碳(CO)是控制地球温室效应的关键大气气体,森林通过将碳储存为生物量来减少大气中的 CO,因此在调节大气 CO 浓度的时空动态方面发挥着重要作用。在本研究中,我们使用涡度相关(EC)塔基大气 CO 浓度测量和 2018 年卫星反演的柱平均 CO 浓度来了解印度喜马拉雅山西北部山麓的亚热带森林大气 CO 浓度的日变化和季节变化。EC 研究表明,森林冠层上方的 CO 浓度在午夜到清晨达到峰值,并在下午降至最低。在月度尺度上,两个站点的大气 CO 浓度峰值均出现在 7 月,这是由于森林生态系统通过生态呼吸和微生物分解释放更多 CO 所致。晚季风和后季风期间增强的光合作用导致森林生态系统上方的大气 CO 浓度下降。在气象变量中,降雨被发现对大气 CO 浓度的季节性变化具有最高的控制作用。还检查了轨道碳观测站-2(OCO-2)卫星反演的柱平均 CO(XCO),以了解其在生态系统尺度上的可靠性。OCO-2 反演的 XCO 值高于 EC 碳通量塔测量的大气 CO 浓度,这可能是由于 CO 柱的垂直分辨率和尺度差异造成的。然而,OCO-2 每月反演的大气 XCO 与地面测量的每月模式强烈吻合。我们的研究表明,在相同气候条件下具有不同功能特征的森林在调节大气 CO 浓度方面表现出可变性。

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