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黄河三角洲湿地非生长季土壤CO2浓度及地表CO2通量的动态变化

王先鹤1,王秀君2*,韩广轩3,王钧漪2,宋维民3,尤再进1   

  1. (1鲁东大学土木工程学院, 山东烟台 264025;2北京师范大学全球变化与地球系统科学研究院,北京 100875;3中国科学院烟台海岸带研究所, 中国科学院海岸带环境过程与生态修复重点实验室, 山东烟台 264003)
  • 出版日期:2018-09-10 发布日期:2018-09-10

Dynamics of soil CO2 concentration and CO2 efflux in non-growing season of the Yellow River Delta wetland.

WANG Xian-he1, WANG Xiu-jun2*, HAN Guang-xuan3, WANG Jun-yi2, SONG Wei-min3, YOU Zai-jin1   

  1. (1School of Civil Engineering, Ludong University, Yantai 264025, Shandong, China; 2College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China; 3Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Chinese Academy of Sciences, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China).
  • Online:2018-09-10 Published:2018-09-10

摘要: 土壤碳通量是全年性的过程,非生长季土壤碳通量是陆地碳循环的重要组成部分。针对非生长季地上地下CO2动态变化研究相对缺乏这一现象,对黄河三角洲湿地不同深度土壤CO2浓度及温度动态变化进行了连续3个月的监测;为揭示该地区地表CO2通量与地下CO2浓度变化之间的关系,对地表CO2通量、土壤CO2浓度及温度进行了两次同步测定。结果表明:随着土层深度的增加,土壤CO2浓度显著升高;相同深度下,秋季的土壤CO2浓度明显高于冬季。地表CO2通量和地表温度具有相似的日变化规律,二者呈极显著正相关关系,土壤呼吸温度敏感性系数(Q10)为3.49~3.74。地表CO2通量与土壤CO2浓度、土壤温度均存在极显著线性或指数关系,利用其经验模型对黄河三角洲湿地土壤秋冬季碳通量进行了估算,通过比较发现,所有模型拟合结果在季节变化上相近:最大值为0.44~0.57 μmol·m-2·s-1,最小值为-0.18~0.01 μmol·m-2·s-1,平均值为0.09~0.12 μmol·m-2·s-1。本研究揭示了非生长季土壤碳的转化过程对滨海湿地碳循环的潜在影响。

关键词: 太行山, 森林群落, 热点地区, 植物区系, 地理格局

Abstract: To address the issue of lacking data in the non-growing season, we conducted anexperiment in a coastal wetland of the Yellow River Delta from October 29, 2016 to February 9, 2017, by continuously monitoring soil CO2 concentration and temperature at different soil depths (15, 30, and 45 cm). In order to understand the dynamics of CO2 efflux and to assess its relationship with soil CO2 concentration, we measured CO2 efflux in March 3-5 and March 16-18, 2017. The results showed that soil CO2 concentration significantly increased with the increases of soil depth. At the same depth, soil CO2 concentration was significantly higher in autumn than in winter. There was strong diurnal variation in CO2 efflux, which was consistent with the variation of surface soil temperature. The temperature sensitivity coefficients (Q10) of soil respiration were 3.49-3.74. There was a significant positive correlation between CO2 efflux and soil CO2 concentration or soil temperature. Using the derived relationships, we estimated CO2 efflux for the non-growing season, and found that the three models produced similar magnitudes and variations, i.e., 0.44 to 0.57, -0.18 to 0.01 and 0.09 to 0.13 μmol·m-2·s-1 for the maximum, the minimum and the mean values, respectively. Our results demonstrated the effects of soil carbon transformation in nongrowing season on carbon cycling of the Yellow River Delta wetland.

Key words: forest community, plant flora, geographic pattern, hotspot area, Taihang Mountains