拉萨流域河岸带湿地土壤CO2排放对温度的响应
Effects of variable-temperature on greenhouse carbon dioxide emission from riverine wetlands soils in Lhasa river basin
投稿时间:2022-02-13  修订日期:2022-02-13
DOI:
中文关键词: 变温  CO2通量  温度敏感性(Q10)  拉萨河流域  地理探测器
英文关键词: Variable-temperature  CO2 efflux  Temperature sensitivity (Q10)  Lhasa river basin  Geographic detector
基金项目:西藏大学“高水平人才培养计划”(2019-GSP-B006),国家自然科学基金(31971479).
作者单位邮编
潘永泰 西藏大学青藏高原生态与环境研究中心 
刘贵华 中国科学院武汉植物园 
刘星 西藏大学青藏高原生态与环境研究中心 
于孟飞 中南民族大学生命科学学院 
马琳 中国科学院武汉植物园 430074
摘要点击次数: 182
全文下载次数: 0
中文摘要:
      了解土壤温室气体释放温度敏感性(Q10)的基本驱动因素对于提高地球系统模型中土壤碳动态的可预测性至关重要。然而,Q10在广泛的地理范围内的模式和决定因素还没有完全了解,特别是在高寒高海拔河流湿地生态系统中。2021年5月,共采集26个青藏高原拉萨流域河流湿地样品,研究发现土壤有机碳和总氮呈现中游西部流域低东部流域高,汇入雅鲁藏布江口较低,源头彭措较高;土壤中CO2排放速率随着培养温度的升高而增加,下游各位点CO2平均排放速率显著高于中游和上游。湿地土壤Q10在流域内汇入口和下游左侧流域(堆龙曲)表现与排放速率相似的特征,更好的突出了在下游右侧流域(墨竹工卡流域)和上游流域(麦地藏布流域)的土壤温度敏感性较低的特征。通过地理探测器探寻气象、植被、地理、双评价、生化、人口经济六个圈层衡量Q10值的不同影响。气象(降雨、太阳辐射)、地理(流域、海拔)、生化、人口经济等因素对Q10有较强影响:其中降雨(80.76%)和太阳辐射(74.68%)在气候因素中占主要影响;流域(88.95%)分布的q值在地理因素中起到重要作用;生化因子中,各检测指标对Q10的影响排序为OC (88.16%) > MBC:OC (78.72%) > MBN:TN (77.30%) > TN (72.37%) > C:N (35.14%) > MBN (8.70%) > MBC (6.80%) > MBC: MBN (5.89%);降雨侵蚀归一化指数对Q10的影响达到了79.67%。此外,任何两种因子对Q10值的交互作用都要大于单一驱动因子的单独作用。地理因素中流域与其他因素间的交互作用对Q10的影响最为强烈(0.90-0.96),生化因素OC与其他因素间的交互作用对Q10较强烈(0.89-0.94),气象因素中降雨和太阳辐射与其他因素交互作用对Q10的影响更加不可忽略。
英文摘要:
      Understanding the basic drivers of temperature sensitivity (Q10) released by greenhouse gas emission from soils, is crucial for improving the predictability of soil carbon dynamics in earth system models. However, the patterns and determinants of Q10 on a wide geographic scale are not fully understood, especially in the alpine and high-altitude river wetland ecosystem. In May 2021, 26 soil samples were collected from the riverine wetlands of the Lhasa River basin. The results showed that soil organic carbon and total nitrogen were lower in the western basin of the middle reaches and higher in the eastern basin, lower in the mouth of Yarlung Zangbo River and higher in the source of Pengtso River. The CO2 emission rate in soil increased with the increase of culture temperature, and the average CO2 emission rate in the downstream was significantly higher than that in the middle and upper reaches. Q10 values in the mouth of Lhasa river basin and the left basin in the lower reaches (Duilongqu) show similar characteristics to the emission rate, which better present the characteristics of low soil temperature sensitivity in the right basin of the downstream (Mozhugongka basin) and the upper basin (Maidi Zangbu Basin). The effects of meteorological, biochemical, demographic and geographical factors on soil temperature sensitivity Q10 were explored by geographic detector. The results showed that the factors such as rainfall, solar radiation, and altitude, the altitude, biochemical and population economy had a strong effect on Q10. Among them, rainfall (80.76%) and solar radiation (74.68%) considerably affected climate. The q value of the distribution of (88.95% in the basin) played an important role in geography. In the chemical factor, the influence of each detected index on Q10 is ranked as: OC (88.16%) > MBC:OC (78.72%) > MBN:TN(77.30%) > TN(72.37%) >C:N(35.14%). The effect of rainfall erosion normalized index on Q10 reached 79.67%. The interaction of any two factors on the Q10 value is greater than the interaction of a single driver alone. The interaction between watersheds in geographical factors and other factors on Q10 was the strongest (0.90-0.96), the interaction between OC in biochemical factors and other factors was stronger on Q10 (0.89-0.94), the interaction of rainfall, solar radiation and other meteorological factors on Q10 cannot be ignored.
View Fulltext   查看/发表评论  下载PDF阅读器
关闭