Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in China
The distribution of atmospheric CO<sub>2</sub> is not homogenous, primarily due to variations in the CO<sub>2</sub> budgets of regional terrestrial ecosystems. To formulate a comprehensive strategy to combat the increasing global CO<sub>2</sub> levels and associat...
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| Format: | Article |
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MDPI AG
2023-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/13/3320 |
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| author | Haixiao Li Yi Lian Qianqian Renyang Le Liu Zihan Qu Lien-Chieh Lee |
| author_facet | Haixiao Li Yi Lian Qianqian Renyang Le Liu Zihan Qu Lien-Chieh Lee |
| author_sort | Haixiao Li |
| collection | DOAJ |
| description | The distribution of atmospheric CO<sub>2</sub> is not homogenous, primarily due to variations in the CO<sub>2</sub> budgets of regional terrestrial ecosystems. To formulate a comprehensive strategy to combat the increasing global CO<sub>2</sub> levels and associated warming, it is crucial to consider both the distribution of atmospheric CO<sub>2</sub> and the CO<sub>2</sub> budgets of ecosystems. This study focused on analyzing the relationship between regional atmospheric CO<sub>2</sub> and CO<sub>2</sub> budgets in China from 2010 to 2017. Initially, a robust estimation model of net ecosystem CO<sub>2</sub> exchange was developed to calculate CO<sub>2</sub> budgets using collected emission data. Subsequently, Pearson correlation, redundancy analysis, and geographically weighted regression techniques were employed to examine the link between atmospheric CO<sub>2</sub> levels, CO<sub>2</sub> budgets, and other meteorological factors at various spatial and temporal scales. The findings from the redundancy analysis and geographically weighted regression indicated that the atmospheric CO<sub>2</sub> content of each province could not be solely determined by the regional CO<sub>2</sub> budgets. However, a significant and positive correlation between atmospheric CO<sub>2</sub> levels and CO<sub>2</sub> budgets was observed in non-coastal provinces for a period of six months (R<sup>2</sup> ranging from 0.46 to 0.83). Consequently, it is essential to promote a balance between CO<sub>2</sub> emissions and the CO<sub>2</sub> uptake capacity of regional ecosystems. This balance would minimize positive CO<sub>2</sub> budgets and effectively mitigate the increase in atmospheric CO<sub>2</sub> levels. |
| first_indexed | 2024-03-11T01:30:03Z |
| format | Article |
| id | doaj.art-222f4651e1b24941a3a3466f79baca49 |
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| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T01:30:03Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj.art-222f4651e1b24941a3a3466f79baca492023-11-18T17:24:32ZengMDPI AGRemote Sensing2072-42922023-06-011513332010.3390/rs15133320Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in ChinaHaixiao Li0Yi Lian1Qianqian Renyang2Le Liu3Zihan Qu4Lien-Chieh Lee5School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, ChinaCollege of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, ChinaCollege of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, ChinaCollege of Environmental Science and Engineering, Nankai University, Tianjin 300350, ChinaElectric Power Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 430000, ChinaSchool of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, ChinaThe distribution of atmospheric CO<sub>2</sub> is not homogenous, primarily due to variations in the CO<sub>2</sub> budgets of regional terrestrial ecosystems. To formulate a comprehensive strategy to combat the increasing global CO<sub>2</sub> levels and associated warming, it is crucial to consider both the distribution of atmospheric CO<sub>2</sub> and the CO<sub>2</sub> budgets of ecosystems. This study focused on analyzing the relationship between regional atmospheric CO<sub>2</sub> and CO<sub>2</sub> budgets in China from 2010 to 2017. Initially, a robust estimation model of net ecosystem CO<sub>2</sub> exchange was developed to calculate CO<sub>2</sub> budgets using collected emission data. Subsequently, Pearson correlation, redundancy analysis, and geographically weighted regression techniques were employed to examine the link between atmospheric CO<sub>2</sub> levels, CO<sub>2</sub> budgets, and other meteorological factors at various spatial and temporal scales. The findings from the redundancy analysis and geographically weighted regression indicated that the atmospheric CO<sub>2</sub> content of each province could not be solely determined by the regional CO<sub>2</sub> budgets. However, a significant and positive correlation between atmospheric CO<sub>2</sub> levels and CO<sub>2</sub> budgets was observed in non-coastal provinces for a period of six months (R<sup>2</sup> ranging from 0.46 to 0.83). Consequently, it is essential to promote a balance between CO<sub>2</sub> emissions and the CO<sub>2</sub> uptake capacity of regional ecosystems. This balance would minimize positive CO<sub>2</sub> budgets and effectively mitigate the increase in atmospheric CO<sub>2</sub> levels.https://www.mdpi.com/2072-4292/15/13/3320net ecosystem exchangeCO<sub>2</sub> emissionredundancy analysisPearson correlationgeographically weighted regression |
| spellingShingle | Haixiao Li Yi Lian Qianqian Renyang Le Liu Zihan Qu Lien-Chieh Lee Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in China Remote Sensing net ecosystem exchange CO<sub>2</sub> emission redundancy analysis Pearson correlation geographically weighted regression |
| title | Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in China |
| title_full | Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in China |
| title_fullStr | Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in China |
| title_full_unstemmed | Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in China |
| title_short | Regional Atmospheric CO<sub>2</sub> Response to Ecosystem CO<sub>2</sub> Budgets in China |
| title_sort | regional atmospheric co sub 2 sub response to ecosystem co sub 2 sub budgets in china |
| topic | net ecosystem exchange CO<sub>2</sub> emission redundancy analysis Pearson correlation geographically weighted regression |
| url | https://www.mdpi.com/2072-4292/15/13/3320 |
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