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干旱区地理 ›› 2020, Vol. 43 ›› Issue (3): 761-769.doi: 10.12118/j.issn.1000-6060.2020.03.22

• 生物与土壤 • 上一篇    下一篇

干旱区盐湖沿岸土壤呼吸特征及其影响因素

李典鹏1,姚美思1,孙涛1,刘隋赟昊1,贾宏涛1,2   

  1. 新疆农业大学草业与环境科学学院,新疆 乌鲁木齐 830052; 2 新疆土壤与植物生态过程重点实验室,新疆 乌鲁木齐 830052

  • 收稿日期:2019-07-10 修回日期:2019-11-27 出版日期:2020-05-25 发布日期:2020-05-25
  • 通讯作者: 贾宏涛(1975-),男,陕西高陵人,教授,博士,研究方向为土壤质量与环境
  • 作者简介:李典鹏(1992-),男,湖南娄底人,硕士研究生,土壤生态系统物质循环.E-mail:lldp05120@126.com
  • 基金资助:
    国家自然科学基金项目(31560171);新疆农业大学研究生科研创新项目(XJAUGRI2018011);国家大学生创新训练计划项目(201510758004)资助

Characteristic of soil respiration and its influencing factors on the coastal of saline lake in arid region

LI Dian-peng1,YAO Mei-si1,SUN Tao1,LIUSUI Yun-hao1,JIA Hong-tao1,2   

  1. College of Grassland and Environmental Science,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China;Xinjiang Key Laboratory of Soil and Plant Ecological Processes,Urumqi 830052,Xinjiang,China

  • Received:2019-07-10 Revised:2019-11-27 Online:2020-05-25 Published:2020-05-25

摘要:

明确不同生态系统土壤碳排放规律及其影响因素对准确评估全球碳循环具有重要意义。为揭示干旱区典型盐湖沿岸土壤呼吸(Rs)、土壤呼吸温度敏感系数(Q10)变化特征及其影响因素,以新疆干旱区达坂城盐湖和巴里坤湖沿岸土壤为研究对象,在201520165~10月利用LI-8100土壤碳通量自动测量系统对盐湖沿岸土壤呼吸速率进行测定,分析了土壤呼吸季节性变化特征及其影响因子。结果表明,干旱区盐湖土壤呼吸变幅较大(0.07~11.59 μmol·m-2·s-1),平均值为2.45 μmol·m-2·s-17月土壤呼吸速率最高为4.69 μmol·m-2·s-110月最低(1.01 μmol·m-2·s-1);土壤CO2累积排放量为9.30 g·m-2·d-17月累积排放量最大为17.82 g·m-2·d-1Q10呈“降低—增加—降低”趋势,6月最低(2.259月最高(3.52),平均值为2.79。干旱区盐湖沿岸土壤呼吸受土壤有机碳(SOC)、5 cm土壤温度(ST5)、土壤含水量(SM)和土壤盐分(Salt)的共同影响,单因素模型模拟可解释土壤呼吸速率变化的41.7%~75.7%R2=0.417~0.757P0.05),多因子综合模型拟合结果最佳Rs=0.001×SOC+0.039×SM-0.534×Salt-0.116×ST5+5.06R2=0.804P=0.05),且均表明盐分是影响干旱区盐湖沿岸土壤呼吸速率的主要因子。因此,在考虑陆地生态系统碳收支和碳循环时不能忽略干旱区盐湖沿岸土壤碳过程,以及盐分对盐湖生态系统碳排放的影响。

关键词: 碳排放, 土壤盐分, 达坂城盐湖, 巴里坤湖, 土壤温度敏感系数

Abstract:

Inland water ecosystems can act as greenhouse gas sinks through the photosynthetic uptake of carbon dioxide (CO2) and subsequent storage in longlived biomass or burial in soils.As one of the most important carbon sinks,the carbon sedimentation rate of lakes was related to the source and sink status of organic carbon content in coastal soils and their carbon emission rates.We investigated the characteristics of soil respiration rate(Rs),the temperature sensitivity of soil respiration (Q10) variability,and its influencing factors in a typical arid saline lake coastal area.In this study,we measured the soil respiration rate using a Li-8100 automated soil flux system (LI-COR,Lincoln,Nebraska,USA) from May to October 2015 and 2016  at Dabancheng and Barkol saline lakes,Xinjiang,China.The dynamics of seasonal soil respiration rate and Q10 value,the correlation between soil respiration and soil organic carbon (SOC),bulk density (BD),soil temperature (ST),soil moisture (M),plant biomass (BIO),and salt and pH were also evaluated.The results showed as follows:(1) the seasonal variation of soil respiration rate ranged from 0.07 to 11.59 μmol·m-2·s-1,and the monthly mean value was 2.45 μmol·m-2·s-1.The soil respiration rate peaked once in July with a maximum value of 4.69 μmol·m-2·s-1,while the lowest respiration rate was in October (1.01 μmol·m-2·s-1).(2) the monthly mean cumulative daily CO2 emission was 9.30 g·m-2·s-1,July cumulative emission rate reach peak (17.82 g·m-2·s-1) .(3) the negative correlation between soil respiration rate,soil temperature (5 cm ),and soil salt was significant (P < 0.05),and there was a positive correlation between soil respiration rate,soil organic carbon,and soil moisture.(4) the Q10 value presented a single peak trend from July to October,and there was no significant differences between the saline lakes,with minimum and maximum values of 2.25 and 3.52 in June and September,respectively.(5) the results of the linear model showed the best fitting model for soil respiration rate and SOC,ST5,M,and soil salt content.The singlefactor model could explain 41.7%-75.7% of soil respiration variability in the saline lakes coastal regions (P < 0.05),and the multifactor synthesis model Rs=0.001×SOC+0.039×M - 0.534×Salt-0.116×ST5+5.06 (P=0.05) could explain 80.4% of soil respiration variability.After eliminating SOC,ST5,SM,and Salt,the determinants of the three-factor regression equation (R2) were reduced to 0.024,0.027,0.104,and 0.269,respectively,indicating that the contribution rate of salt was the largest among the factors affecting the soil respiration rate.The results of singlefactor and multifactor synthesis models showed that soil salt had the greatest influence on soil respiration rate in the saline lakes coastal regions.Therefore,when considering the carbon budget and cycle of terrestrial ecosystems,we cannot ignore the soil carbon processes in saline lakes in arid regions and the effects of soil salt on the carbon emissions from saline lake ecosystems in arid regions.

Key words: carbon emission, soil salt, Dabancheng Saline Lake, Barkol Saline Lake, temperature sensitive of soil respiration (Q10)