应用高频观测探讨不同森林经营方式下矿质土壤呼吸的昼夜动态特征
发布时间:2018-11-17 17:24
【摘要】:矿质土壤呼吸是森林生态系统土壤碳库损失的重要途径之一,也是森林生态系统碳(C)平衡估算中的关键因子。了解矿质土壤呼吸在不同时间尺度上的变化,对理解森林生态系统C循环应对全球变化的响应至关重要,而高频观测是探讨矿质土壤呼吸在不同时间尺度变化的重要手段之一。通过高频自动观测系统与Li-8100土壤CO2通量测量系统,对福建省三明市陈大镇国有林场的米槠(Castanopsis carlesii)次生林在不同森林经营方式下(CK对照,RR皆伐,RB火烧)的矿质土壤呼吸与土壤温度和含水量的昼夜动态进行分析,并比较2种采样策略下矿质土壤呼吸的年、日均通量差异。结果表明:1)不同森林经营方式的矿质土壤呼吸与土壤温度和土壤含水量均存在着明显的季节动态,矿质土壤呼吸速率年均值表现为CK(2.18μmol m~(-2)s~(-1))RB(1.93μmol m~(-2)s~(-1))RR(1.89μmol m~(-2)s~(-1))。2)在不同森林经营方式下,采用手动观测的矿质土壤呼吸年平均日通量显著低于高频观测结果,而采用高频观测09:00—11:00时间段内观测数据计算日通量与高频自动观测系统全天(24h)结果无显著差异;3)不同森林经营方式下的林地,土壤水热条件的变化是影响矿质土壤呼吸的重要因素之一。双因子模型拟合结果表明,土壤温度和含水量共同解释了CK、RR和RB矿质土壤呼吸速率的年变化的96.8%,62.8%,95.4%,拟合结果明显优于以温度为单因子的指数模型。因此,未来气候变化背景下,为准确评估和预测不同森林经营方式对土壤与大气间碳通量交换的影响,采用高频自动观测技术观测矿质土壤呼吸,将有利于提高碳通量估算精度。
[Abstract]:Mineral soil respiration is one of the important ways of soil carbon pool loss in forest ecosystem, and it is also a key factor in estimating carbon (C) balance in forest ecosystem. Understanding the changes of mineral soil respiration at different time scales is very important to understand the response of forest ecosystem C cycle to global change, and high frequency observation is one of the important means to explore the variation of mineral soil respiration at different time scales. By means of high frequency automatic observation system and Li-8100 soil CO2 flux measurement system, the secondary forest of Castanopsis carlesii (Castanopsis carlesii) in state-owned forest farm of Chenda Town, Sanming City, Fujian Province, was studied under different forest management modes (CK control, RR clear cutting). The diurnal dynamics of mineral soil respiration, soil temperature and water content were analyzed, and the daily mean fluxes of mineral soil respiration under two sampling strategies were compared. The results showed that: 1) the mineral soil respiration, soil temperature and soil water content of different forest management methods had obvious seasonal dynamics. The annual mean respiration rate of mineral soil was CK (2.18 渭 mol m2) s-1) RB (1.93 渭 mol m-2 s-1) RR (1.89 渭 mol m-2 s-1). 2 under different forest management patterns. The annual average daily flux of respiration of mineral soil by manual observation is significantly lower than that of high frequency observation. However, there is no significant difference between the daily flux calculated by using the high frequency observation data in the period of 09: 00-11: 00 and the results of the high frequency automatic observation system in the whole day (24 hours). 3) the change of soil water and heat condition is one of the important factors that influence the respiration of mineral soil in different forest management mode. The fitting results of two-factor model showed that soil temperature and water content explained the annual variation of respiration rate of mineral soil in CK,RR and RB. The fitting results are obviously superior to the exponential model with temperature as a single factor. Therefore, in order to accurately assess and predict the effect of different forest management modes on carbon flux exchange between soil and atmosphere, high-frequency automatic observation technology is used to observe mineral soil respiration in the future climate change background. It will help to improve the accuracy of carbon flux estimation.
【作者单位】: 福建师范大学地理科学学院;福建师范大学湿润亚热带山地生态国家重点实验室培育基地;三明市三元区林业局;
【基金】:国家自然科学基金重点资助项目(31130013);国家自然科学基金资助项目(31500407) 福建省教育厅B类科技资助项目(JB14025)
【分类号】:S714
本文编号:2338550
[Abstract]:Mineral soil respiration is one of the important ways of soil carbon pool loss in forest ecosystem, and it is also a key factor in estimating carbon (C) balance in forest ecosystem. Understanding the changes of mineral soil respiration at different time scales is very important to understand the response of forest ecosystem C cycle to global change, and high frequency observation is one of the important means to explore the variation of mineral soil respiration at different time scales. By means of high frequency automatic observation system and Li-8100 soil CO2 flux measurement system, the secondary forest of Castanopsis carlesii (Castanopsis carlesii) in state-owned forest farm of Chenda Town, Sanming City, Fujian Province, was studied under different forest management modes (CK control, RR clear cutting). The diurnal dynamics of mineral soil respiration, soil temperature and water content were analyzed, and the daily mean fluxes of mineral soil respiration under two sampling strategies were compared. The results showed that: 1) the mineral soil respiration, soil temperature and soil water content of different forest management methods had obvious seasonal dynamics. The annual mean respiration rate of mineral soil was CK (2.18 渭 mol m2) s-1) RB (1.93 渭 mol m-2 s-1) RR (1.89 渭 mol m-2 s-1). 2 under different forest management patterns. The annual average daily flux of respiration of mineral soil by manual observation is significantly lower than that of high frequency observation. However, there is no significant difference between the daily flux calculated by using the high frequency observation data in the period of 09: 00-11: 00 and the results of the high frequency automatic observation system in the whole day (24 hours). 3) the change of soil water and heat condition is one of the important factors that influence the respiration of mineral soil in different forest management mode. The fitting results of two-factor model showed that soil temperature and water content explained the annual variation of respiration rate of mineral soil in CK,RR and RB. The fitting results are obviously superior to the exponential model with temperature as a single factor. Therefore, in order to accurately assess and predict the effect of different forest management modes on carbon flux exchange between soil and atmosphere, high-frequency automatic observation technology is used to observe mineral soil respiration in the future climate change background. It will help to improve the accuracy of carbon flux estimation.
【作者单位】: 福建师范大学地理科学学院;福建师范大学湿润亚热带山地生态国家重点实验室培育基地;三明市三元区林业局;
【基金】:国家自然科学基金重点资助项目(31130013);国家自然科学基金资助项目(31500407) 福建省教育厅B类科技资助项目(JB14025)
【分类号】:S714
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