郑维熙, 周忠发, 朱粲粲, 梅再美, 汤云涛, 安 丹. 典型岩溶区不同土地利用类型土壤CO2浓度时空变化特征及影响因素分析[J]. 土壤通报, 2021, 52(3): 594 − 601. DOI: 10.19336/j.cnki.trtb.2020011001
引用本文: 郑维熙, 周忠发, 朱粲粲, 梅再美, 汤云涛, 安 丹. 典型岩溶区不同土地利用类型土壤CO2浓度时空变化特征及影响因素分析[J]. 土壤通报, 2021, 52(3): 594 − 601. DOI: 10.19336/j.cnki.trtb.2020011001
ZHENG Wei-xi, ZHOU Zhong-fa, ZHU Can-can, MEI Zai-mei, TANG Yun-tao, AN Dan. Spatiotemporal Variation Characteristics of CO2 and its Influencing Factors under Different Land Use Types in Typical Karst Areas——A Case Study of the Shuanghe Cave, Guizhou[J]. Chinese Journal of Soil Science, 2021, 52(3): 594 − 601. DOI: 10.19336/j.cnki.trtb.2020011001
Citation: ZHENG Wei-xi, ZHOU Zhong-fa, ZHU Can-can, MEI Zai-mei, TANG Yun-tao, AN Dan. Spatiotemporal Variation Characteristics of CO2 and its Influencing Factors under Different Land Use Types in Typical Karst Areas——A Case Study of the Shuanghe Cave, Guizhou[J]. Chinese Journal of Soil Science, 2021, 52(3): 594 − 601. DOI: 10.19336/j.cnki.trtb.2020011001

典型岩溶区不同土地利用类型土壤CO2浓度时空变化特征及影响因素分析以贵州双河洞为例

Spatiotemporal Variation Characteristics of CO2 and its Influencing Factors under Different Land Use Types in Typical Karst Areas——A Case Study of the Shuanghe Cave, Guizhou

  • 摘要: 为揭示典型岩溶地区不同用地类型下土壤CO2的时空变化特征及其影响因素,于2018年1月 ~ 2019年8月对白云岩分布的贵州绥阳双河洞地区6种典型用地的5、20、40和60 cm深度土壤CO2浓度进行了为期一年的监测、采样和室内实验。并运用数理统计分析方法对各指标进行综合分析,进一步探究影响土壤CO2时空变化的主要影响因子。结果表明:不同用地类型下土壤CO2各深度平均浓度均表现出明显的夏秋高、冬春低的季节性变化特征,年平均浓度最高出现在10月,浓度值为23276 ppm,最低在1月,浓度值为6602 ppm;不同用地类型下土壤CO2浓度表现为旱地(19967 ppm) > 灌草地(17098 ppm) > 灌丛地(15054 ppm) > 有林地(11494 ppm) > 退耕还林地(10529 ppm) > 撂荒地(6147 ppm),且除有林地土壤CO2随着深度加深,表现出先减小后增加的特征外,其余五种用地类型下土壤CO2均表现出随土层深度增加而增加的趋势;土壤温度、土壤含水量、有机碳含量、孔隙度与土壤CO2浓度均成正相关关系,相关系数分别为0.406、0.252、0.382、0.703。相关性分析表明土壤温度、土壤孔隙度对土壤中CO2的产生和保存具有显著影响。

     

    Abstract: In order to reveal the temporal and spatial variation characteristics of soil CO2 and its influencing factors under different land use types in the typical karst areas, the CO2 concentration of 5 cm, 20 cm, 40 cm, and 60 cm depths of six typical sites in the Shuanghe Cave, Suiyang, Guizhou was detected from January 2018 to August 2019. And the main factors affecting the spatial and temporal changes of soil CO2 were investigated. The results showed that: (1) The soil CO2 concentration under different land types showed obvious seasonal variation characteristics, being higher in summer and autumn and lower in winter and spring. The annual average concentration of CO2 was the highest in October (23276 ppm), and was the lowest in January (6602 ppm). (2) The soil CO2 concentration under different land types decreased in the order of dry land (19967 ppm) > grassland (17098 ppm) > shrub land (15054 ppm) > forest land (11494 ppm) > returning farmland to forestland (10529 ppm) > wasteland (6147 ppm). The soil CO2 concentration in the forest land showed a decreasing first and then increasing trend with soil depths, while the CO2 concentrations in the other five land types were increased with soil depths. (3) The soil CO2 concentration was positively correlated with soil temperature, soil moisture content, organic carbon content, and porosity, with a correlation coefficient of 0.406, 0.252, 0.382, and 0.703, respectively. Correlation analysis showed that soil temperature and soil porosity had significant effects on the generation and preservation of CO2 in soil. The research results are of great significance for evaluating the effects of land types in typical karst areas on soil carbon sources and sinks, and would provide a certain theoretical reference for investigating the vertical carbon cycling in a key karst zones.

     

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