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定量重建黄土高原末次间冰期土壤呼吸CO2浓度
引用本文:季顺川, 聂军胜, 马龙, 文静雅, 安玉英, 范德仙, 聂菊敏. 定量重建黄土高原末次间冰期土壤呼吸CO2浓度[J]. 第四纪研究, 2023, 43(2): 336-344. doi: 10.11928/j.issn.1001-7410.2023.02.03
作者姓名:季顺川  聂军胜  马龙  文静雅  安玉英  范德仙  聂菊敏
作者单位:1. 云南师范大学地理学部, 云南省高原地理过程与环境变化重点实验室, 云南 昆明 650500; 2. 兰州大学资源环境学院, 西部环境教育部重点实验室, 兰州 甘肃 730000; 3. 西北大学地质学系, 大陆动力国家重力实验室, 西安 陕西 710000
基金项目:国家自然科学基金项目(批准号: 42002206)和云南省基础研究专项项目(批准号: 202201AU070230)共同资助
摘    要:

成壤碳酸盐气压计(paleosol carbonate CO2 barometer)是定量恢复古大气CO2浓度的重要方法, 但是目前重建结果仍然存在较大的不确定性, 主要原因是土壤呼吸产生CO2(简称S (z))的数值分布范围较大。S (z)在古土壤中不能直接测量, 它受古降水影响具有明显的空间分异特征。中国黄土高原广泛分布的成壤碳酸钙结核是土壤呼吸作用和淋溶再沉淀的产物, 具有恢复长时间序列古大气CO2浓度的潜力, 但是目前各指标方法恢复的S (z)存在差异。本研究利用黄土高原7个末次间冰期(对应古土壤S1层)剖面的成壤碳酸钙结核恢复黄土高原S (z)值的空间变化规律, 并对比不同指标方法恢复的S (z)。结果显示: 黄土高原S (z)呈现出南部高于北部的特征, 南部剖面S (z)的平均值为848±170ppm, 北部剖面S (z)的平均值为539±87ppm。这个趋势与暖季平均降水量的空间变化趋势一致。本研究确定黄土高原S (z)的空间变化范围, 为利用黄土碳酸盐重建古大气CO2浓度提供可靠的参数限制。



关 键 词:古CO2浓度重建   黄土高原   成壤碳酸盐气压计   末次间冰期
收稿时间:2022-02-10
修稿时间:2022-09-11

Quantify last interglacial soil respired CO2 on the Chinese Loess Plateau
JI Shunchuan, NIE Junsheng, MA Long, WEN Jingya, AN Yuying, FAN Dexian, NIE Jumin. Quantify last interglacial soil respired CO2 on the Chinese Loess Plateau[J]. Quaternary Sciences, 2023, 43(2): 336-344. doi: 10.11928/j.issn.1001-7410.2023.02.03
Authors:JI Shunchuan  NIE Junsheng  MA Long  WEN Jingya  AN Yuying  FAN Dexian  NIE Jumin
Affiliation:1. Yunnan Key Laboratory of Plateau Geographical Processes and Environmental Changes, Faculty of Geography, Yunnan Normal University, Kunming 650500, Yunnan; 2. Key Laboratory of Western China'Environmental Systems, Ministry of Education, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu; 3. State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an 710069, Shaanxi
Abstract:The paleosol carbonate CO2 barometer is an important method to quantitatively reconstruct the pCO2. However, at present, there are still large uncertainties in the reconstruction results. The main reason is that the soil respired CO2 (S(z)), which is the most uncertain parameter when reconstruct pCO2, has a large distribution range. The S(z) cannot be measured directly in paleosols. Importantly, S(z) is characteristic by obviously spatial differentiation, because of the influence of paleo-precipitation. Calcium nodules widely distributed in the Chinese Loess Plateau(CLP) are the product of soil respiration and re-precipitation process. It has the potential to reconstruct long time paleo-atmospheric CO2 concentrations, but the discrepancy of S(z) exists among different proxy-based methods. Thus, this study tries to reconstruct the S(z) values from the carbonate nodules below seven last interglacial(paleosol S1) to explore the spatial variation trends of the S(z) in the CLP, and then compare the results between the geological records from the last interglacial period and other proxy-based results. The seven sections belong two transect, eastern transect ordered from north to south includes Yanchang(YC), Luochuan(LC), Tongchuan(TC) and Weinan(WN) sections; western transect ordered from north to south includes Beiguoyuan(BGY), Xifeng(XF) and Lingtai(LT) sections. Bulk samples were collected at 2cm intervals in Beiguoyuan, Xifeng, Weinan sections; at 5cm interval in Yanchang, Luochuan, Tongchuan sections and at 10cm interval in Lingtai section. Within each section, δ13CPC and δ13COM are measured. The S(z) are back-calculated based on the paleosol carbonate CO2 barometer and assuming the pCO2 are known from ice core pCO2 records over the past 800ka. Back-calculate results show that S(z) in the Loess Plateau changed from 505ppm to 865ppm. Average S(z) value in the southern sections is 848±170ppm, which is higher than the average S(z) value in northern sections of 539±87ppm. This spatial variation characteristic is consistent with the results calculated based on the climofunction between S(z) and magnetic susceptibility, but lower than the results calculated based on the relationship between S(z) and Mean Annual precipitation. This may because the mean warm month precipitation is more important for S(z). This work determined the spatial variation range of S(z) in the CLP, which provides accurate and reliable parameters for pCO2 reconstructing by using carbonate nodules. By this work, we know that the S(z) in the CLP is lower than before assumed 10000ppm, 5000ppm and 2500ppm.
Keywords:pCO2<  sub> reconstruction  Chinese Loess Plateau  paleosol carbonate CO2<  sub> barometer  last interglacial period
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