Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China
Estimation and Mapping of Actual and Potential Grassland Root Carbon Storage: A Case Study in the Altay Region, China
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DOI：
10.3390/agronomy12112632
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
F. Li;H. Zhong;Kehui Ouyang;Xiaomin Zhao;Yuzhe Li
中科院分区：
文献类型：
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作者：
F. Li;H. Zhong;Kehui Ouyang;Xiaomin Zhao;Yuzhe Li
草地的实际根碳储量(ARCS)和潜在根碳储量(PRCS)在全球碳平衡和碳中和中起着重要作用。然而，对这些指标的估计是困难的。此外，它们的空间格局和关键驱动因素也需要澄清。在这项研究中，提出了一种结合支持向量机模型和高精度曲面建模的精确估计弧线和PRCS的方法。基于阿勒泰地区2015年的野外观测数据，草地0-10、10-20、20-30 cm土层根系生物量的估测精度(R2)分别为0.73、0.63、0.60。分析了实际根碳密度(ARCD)和潜在根碳密度(PRCD)的空间格局。ARCD随海拔升高而增大。高PRCD位于坡度平缓的山坡上。ARCD格局的主要交互作用因子是温度和降水，而PRCD格局的主要交互作用因子是温度和坡度。据估算，阿勒泰地区草地弧度为48.52 Tg C，PRCS为22.69 Tg C。我们认为，研究区有相当大的能力来增加草原弧度。
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 (R2) 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.