塔克拉玛干沙漠腹地冬季土壤呼吸及其驱动因子分析

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 塔克拉玛干沙漠腹地冬季土壤呼吸及其驱动因子 DOI: 10.5846/stxb201404220795 作者: 作者单位: 1.新疆大学 资源与环境科学学院 新疆 乌鲁木齐 830046;2.中国气象局乌鲁木齐沙漠气象研究所 新疆 乌鲁木齐 830002;3.塔克拉玛干沙漠大气环境观测试验站, 新疆 塔中 841000;,2.中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002;3.塔克拉玛干沙漠大气环境观测试验站, 新疆 塔中 841000; 4.南京信息工程大学 应用气象学院, 江苏 南京 210044,2.中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002; 3.塔克拉玛干沙漠大气环境观测试验站, 新疆 塔中 841000,2.中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002; 3.塔克拉玛干沙漠大气环境观测试验站, 新疆 塔中 841000,2.中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002; 3.塔克拉玛干沙漠大气环境观测试验站, 新疆 塔中 841000 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金(41175140);公益性行业(气象)科研专项(GYHY201306066) Environmental factors driving winter soil respiration in the hinterland of the Taklimakan Desert, China Author: Affiliation: 1.College of Resources and Environmental Science, Xinjiang University, Urumqi 830046, China.2. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;3.Taklimakan Desert Atmosphere and Environment Station, Tazhong 841000, Xinjiang, China.,2.Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China; 3.Taklimakan Desert Atmosphere and Environment Station, Tazhong 841000, Xinjiang, China; 4. College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044,China,2. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China;3Taklimakan Desert Atmosphere and Environment Station, Tazhong 841000, Xinjiang, China,, Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:利用Li-8150系统测定了塔克拉玛干沙漠腹地冬季(1月)土壤呼吸,分析了环境驱动因子对极端干旱区荒漠生态系统土壤呼吸的影响。结果表明:(1)冬季土壤呼吸日变化呈现出显著的单峰曲线,土壤呼吸速率最大值出现在12:00,为0.0684μmol CO2 m-2 s-1,凌晨04:00附近出现最小值,为-0.0473μmol CO2 m-2 s-1;(2)土壤呼吸速率与各层气温,0cm地表温度均存在着极其显著或显著的线性关系,且都具有正相关性;(3)土壤呼吸速率与5cm土壤湿度存在着较为明显的线性关系,该层湿度能够解释土壤呼吸的69.5%;(4)0cm地表温度对土壤呼吸贡献最大,其次是5cm土壤湿度;(5)以0cm地表温度、5cm土壤湿度为变量,通过多元回归分析表明:土壤温度-湿度构成的多变量模型能够解释大于86.9%的土壤呼吸变化情况;(6)研究时段内土壤呼吸速率的平均值是-1.45mg CO2 m-2 h-1。 Abstract:In order to analyze the environmental drivers of soil respiration in an extreme arid desert ecosystem, we measured diurnal variation in winter soil respiration at Tazhong, a hinterland of Taklimakan Desert in northwest China. Regression analysis was performed with SPSS 21.0. We observed that:(1) Diurnal variation in winter soil respiration showed a single peak at 12:00 noon (local time), after which soil respiration began to decrease, reaching a minimum value at around 4:00 a.m. (2) Soil respiration and the air temperature at each height tested (0.5 m, 2 m) were significantly and positively correlated. Air temperature at 2 m was able to explain 67.8% of the diurnal variation in soil respiration. (3) Soil temperature at 0 cm, modeled by linear equations, was able to explain 86.3% of the diurnal variation in soil respiration, demonstrating that this process is more sensitive to temperature at 0 cm than at any other soil layer (10 cm, 20 cm, 40 cm). (4) Soil respiration exhibited a positive linear correlation with soil moisture at a depth of 5 cm. When linear regression analysis was used to model the relationship between these variables, the fitted linear model explained 69.5% of the diurnal variation in soil respiration, demonstrating that, in the extreme arid desert ecosystem, this shallow layer of moisture exerts a large effect on soil respiration. (5) The greatest contributors to soil respiration were soil temperature at a depth of 0 cm, followed by soil moisture at 5 cm. (6) Multiple regression analyses showed that a multi-variable model of temperature and soil moisture explains 86.9% of the diurnal variation in soil respiration, which is not significantly better than a single-variable model. (7) For winter soil respiration, the daily average rate of CO2 absorption was -1.45mg CO2 m-2 h-1. 参考文献 相似文献 引证文献