Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China
The actual root carbon storage (ARCS) and potential root carbon storage (PRCS) of grasslands play an important role in the global carbon balance and carbon neutralization. However, estimation of these indicators is difficult. In addition, their spatial patterns and crucial driving factors also requi...
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| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/12/11/2632 |
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| author | Fangzhen Li Huaping Zhong Kehui Ouyang Xiaomin Zhao Yuzhe Li |
| author_facet | Fangzhen Li Huaping Zhong Kehui Ouyang Xiaomin Zhao Yuzhe Li |
| author_sort | Fangzhen Li |
| collection | DOAJ |
| description | The actual root carbon storage (ARCS) and potential root carbon storage (PRCS) of grasslands play an important role in the global carbon balance and carbon neutralization. However, estimation of these indicators is difficult. In addition, their spatial patterns and crucial driving factors also require clarification. In this study, an approach for accurate estimation of ARCS and PRCS was developed incorporating a support vector machine model and high-accuracy surface modeling. Based on field data collected from Altay Prefecture in 2015, the estimation accuracy (R<sup>2</sup>) of root biomass in the 0–10, 10–20, and 20–30 cm soil layers of grassland were 0.73, 0.63, and 0.60, respectively. In addition, the spatial patterns of actual root carbon density (ARCD) and potential root carbon density (PRCD) were analyzed. The ARCD increased with the increase in elevation. High PRCD was located on hillsides with a gentle slope. The dominant interaction factors for the ARCD spatial pattern were temperature and precipitation, whereas the main interaction factors for the PRCD pattern were temperature and slope. The grassland ARCS and PRCS in Altay Prefecture were estimated to be 48.52 and 22.69 Tg C, respectively. We suggest there is considerable capacity to increase grassland ARCS in the study area. |
| first_indexed | 2024-03-09T19:22:28Z |
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| id | doaj.art-ed0634c25c0a40cd9735493cfb227ac7 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-09T19:22:28Z |
| publishDate | 2022-10-01 |
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| series | Agronomy |
| spelling | doaj.art-ed0634c25c0a40cd9735493cfb227ac72023-11-24T03:19:35ZengMDPI AGAgronomy2073-43952022-10-011211263210.3390/agronomy12112632Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, ChinaFangzhen Li0Huaping Zhong1Kehui Ouyang2Xiaomin Zhao3Yuzhe Li4School of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, ChinaSchool of Land Resource and Environment, Jiangxi Agricultural University, Nanchang 330045, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaThe actual root carbon storage (ARCS) and potential root carbon storage (PRCS) of grasslands play an important role in the global carbon balance and carbon neutralization. However, estimation of these indicators is difficult. In addition, their spatial patterns and crucial driving factors also require clarification. In this study, an approach for accurate estimation of ARCS and PRCS was developed incorporating a support vector machine model and high-accuracy surface modeling. Based on field data collected from Altay Prefecture in 2015, the estimation accuracy (R<sup>2</sup>) of root biomass in the 0–10, 10–20, and 20–30 cm soil layers of grassland were 0.73, 0.63, and 0.60, respectively. In addition, the spatial patterns of actual root carbon density (ARCD) and potential root carbon density (PRCD) were analyzed. The ARCD increased with the increase in elevation. High PRCD was located on hillsides with a gentle slope. The dominant interaction factors for the ARCD spatial pattern were temperature and precipitation, whereas the main interaction factors for the PRCD pattern were temperature and slope. The grassland ARCS and PRCS in Altay Prefecture were estimated to be 48.52 and 22.69 Tg C, respectively. We suggest there is considerable capacity to increase grassland ARCS in the study area.https://www.mdpi.com/2073-4395/12/11/2632root carbon storagepotential storagegrasslandHASMAltay Prefecture |
| spellingShingle | Fangzhen Li Huaping Zhong Kehui Ouyang Xiaomin Zhao Yuzhe Li Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China Agronomy root carbon storage potential storage grassland HASM Altay Prefecture |
| title | Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China |
| title_full | Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China |
| title_fullStr | Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China |
| title_full_unstemmed | Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China |
| title_short | Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China |
| title_sort | estimation and mapping of actual and potential grassland root carbon storage a case study in the altay region china |
| topic | root carbon storage potential storage grassland HASM Altay Prefecture |
| url | https://www.mdpi.com/2073-4395/12/11/2632 |
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