| Autor: |
Xiaoyong Bai, Sirui Zhang, Chaojun Li, Lian Xiong, Fengjiao Song, Chaochao Du, Minghui Li, Qing Luo, Yingying Xue, Shijie Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Environmental Science and Ecotechnology, Vol 15, Iss , Pp 100237- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2666-4984 |
| DOI: |
10.1016/j.ese.2023.100237 |
| Popis: |
The accurate determination of the carbon-neutrality capacity (CNC) of a region is crucial for developing policies related to emissions and climate change. However, a systematic diagnostic method for determining the CNC that considers the rock chemical weathering carbon sink (RCS) is lacking. Moreover, it is challenging but indispensable to establish a fast and practical index model to determine the CNC. Here, we selected Guizhou as the study area, used the methods for different types of carbon sinks, and constructed a CNC index (CNCI) model. We found that: (1) the carbonate rock chemical weathering carbon sink flux was 30.3 t CO2 km−2 yr−1. Guizhou accounted for 1.8% of the land area and contributed 5.4% of the carbonate chemical weathering carbon sink; (2) the silicate rock chemical weathering carbon sink and its flux were 1.44 × 103 t CO2 and 2.43 t CO2 km−2 yr−1, respectively; (3) the vegetation-soil ecosystem carbon sink and its flux were 1.37 × 108 t CO2 and 831.70 t CO2 km−2 yr−1, respectively; (4) the carbon emissions (CEs) were 280 Tg CO2, about 2.8% of the total for China; and (5) the total carbon sinks in Guizhou were 160 Tg CO2, with a CNCI of 57%, which is 4.8 times of China and 2.1 times of the world. In summary, we conducted a systematic diagnosis of the CNC considering the RCS and established a CNCI model. The results of this study have a strong implication and significance for national and global CNC determination and gap analysis. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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