| 黄土丘陵区典型沟道侵蚀诱发的CO2通量估算 |
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| 引用本文： | 郝旺林,夏彬,许明祥.黄土丘陵区典型沟道侵蚀诱发的CO2通量估算[J].水土保持学报,2022,36(6):179-188. |
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| 作者姓名： | 郝旺林 夏彬 许明祥 |
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| 作者单位： | 中国科学院水利部水土保持研究所, 陕西 杨凌 712100;中国科学院大学, 北京 100190;吕梁学院生命科学系, 山西 吕梁 033000;中国科学院水利部水土保持研究所, 陕西 杨凌 712100;中国科学院大学, 北京 100190;西北农林科技大学水土保持研究所, 陕西 杨凌 712100 |
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| 基金项目： | 国家自然科学基金项目(41771318,41830758);山西省高等学校科技创新项目(2020L0680);吕梁市重点研发项目(2020SHFZ45) |
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| 摘 要： | 以黄土丘陵区典型侵蚀沟道为对象,基于沟道剖面有机碳和137Cs数据,采用碳库重分布模型估算了典型沟道侵蚀诱发的CO2通量,并通过检验模型预测效率、解析影响因子,提出了模型校正的思路。结果表明:(1)在长期侵蚀作用下,沟道侵蚀区和沉积区均表现为剧烈的侵蚀效应,侵蚀区侵蚀速率介于30.99~46.44 mm/a,沉积区侵蚀速率介于34.20~37.88 mm/a,沉积区土壤流失速率略小于侵蚀区;(2)碳库重分布模型估算显示,侵蚀区与沉积区均表现为较强烈的碳源效应,侵蚀区CO2通量介于18.41~28.44 g/(m2·a),沉积区CO2通量介于22.19~29.25 g/(m2·a);(3)侵蚀部位、土壤容重、有机碳含量、侵蚀量、沟道平均坡度、植被地上部与地下部生物量共同解释了碳库重分布模型预测效率的变异特征(R2=0.68),其中侵蚀部位、侵蚀量、有机碳含量、土壤容重、植被地下部对预测效率有强驱动效应;(4)引入被忽略的植被新输入有机碳库参数,有望校正碳库重分布模型,提升模型预测效率。该研究结果明确了碳库重分布模型在沟道侵蚀区相比沉积区有更高的CO2通量预测效率,为进一步提高模型的预测精度,可以考虑引入植被输入有机碳库作为校正参数。
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| 关 键 词： | 沟道侵蚀 CO2通量 有机碳 137Cs 模型预测效率 |
| 收稿时间： | 2022/4/17 0:00:00 |
Estimation of CO2 Flux Induced by Gully Erosion on the Loess Hilly Region |
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| HAO Wanglin,XIA Bin,XU Mingxiang.Estimation of CO2 Flux Induced by Gully Erosion on the Loess Hilly Region[J].Journal of Soil and Water Conservation,2022,36(6):179-188. |
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| Authors: | HAO Wanglin XIA Bin XU Mingxiang |
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| Institution: | Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100;University of Chinese Academy of Sciences, Beijing 100190;Department of Life Sciences, Lyuliang University, Lyuliang, Shanxi 033000; Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100;University of Chinese Academy of Sciences, Beijing 100190;Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100 |
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| Abstract: | Gully erosion leads to massive soil loss, which aggravates the migration, loss and morphological changes of organic carbon, and thus induces CO2 emission effects. Most of the previous studies on CO2 emission effects of eroded soil were carried out at watershed and regional scales by model estimation, but not enough attentionwas paid to the CO2 emission effects induced by gully erosion. According to the carbon pool redistribution model, organic carbon and Cesium-137 content of soil profiles from three gullies were used to estimate the CO2 flux induced by gully erosion on the Loess Hilly Region, and the model prediction efficiency and its influencing factors were tested. The results showed that: (1) After long-term erosion, severe erosion occurred in both erosion area and sedimentary area of gullies in the three study areas. The erosion rate in erosion area was between 30.99 and 46.44 mm/a, and that in sedimentary area was between 34.20 and 37.88 mm/a, and the soil loss rate in eroded areas were slightly higher than that in deposition areas. (2) The stronger carbon source existe in both erosion and sedimentary areas. The modeling fluxes in erosion and sedimentary area of gullies ranged from 18.41 to 28.44 g/(m2·a), and from 22.19 to 29.25 g/(m2·a), respectively. (3) Erosion site, soil bulk density, soil organic carbon content, soil erosion amount, average slope of gully, aboveground biomass and underground biomass of vegetation jointly explained the variability of prediction efficiency of the carbon pool redistribution model (R2=0.68), among which erosion site, erosion amount, organic carbon content, soil bulk density, and below-ground vegetation had strong driving effects on prediction efficiency. (4) The neglected parameter of new input organic carbon pool induced by vegetation should be introduced to correct the carbon pool redistribution model and improve the model prediction efficiency. It was clear that the carbon pool redistribution model had a higher prediction efficiency of CO2 flux in gully erosion area compared with deposition area. In order to further improve the prediction accuracy of the model, the new organic carbon pool induced by vegetation should be considered as a calibration parameter incorporated in to the carbon pool redistribution model. |
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| Keywords: | gully erosion CO2 flux organic carbon 137Cs model prediction efficiency |
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