|
|||||
|
|
| 南亚热带果园土壤二氧化碳释放变异性研究 | |
| 作者姓名： | LI Yue-Lin D. OTIENO K. OWEN ZHANG Yun J. TENHUNEN RAO Xing-Quan LIN Yong-Biao |
| 作者单位： | [1]South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650 （China） [2]Department of Plant Ecology, University of Bayreuth, 95440 Bayreuth （Germany） [3]School of Resources and Environmental Science, Hubei University, Wuhan 430062 （China） |
| 基金项目： | China，国家自然科学基金，The Chinese Ecosystem Research Network (CERN)，A post-doctoral fellowship from the Ministry of Education of the People's Republic of China |
| 摘 要： | Temporal variability in soil CO2 emission from an orchard was measured using a dynamic open-chamber system for measuring soil CO2 effiux in Heshan Guangdong Province, in the lower subtropical area of China. Intensive measurements were conducted for a period of 12 months. Soil CO2 emissions were also modeled by multiple regression analysis from daily air temperature, dry-bulb saturated vapor pressure, relative humidity, atmospheric pressure, soil moisture, and soil temperature. Data was analyzed based on soil moisture levels and air temperature with annual data being grouped into either hot-humid season or relatively cool season based on the precipitation patterns. This was essential in order to acquire simplified exponential models for parameter estimation. Minimum and maximum daily mean soil CO2 effiux rates were observed in November and July, with respective rates of 1.98 ± 0.66 and 11.04 ± 0.96 μmol m^-2 s^-1 being recorded. Annual average soil CO2 emission （FCO2） was 5.92 μmol m^-2 s^-1. Including all the weather variables into the model helped to explain 73.9% of temporal variability in soil CO2 emission during the measurement period. Soil CO2 effiux increased with increasing soil temperature and soil moisture. Preliminary results showed that Q10, which is defined as the difference in respiration rates over a 10 ℃ interval, was partly explained by fine root biomass. Soil temperature and soil moisture were the dominant factors controlling soil CO2 effiux and were regarded as the driving variables for CO2 production in the soil. Including these two variables in regression models could provide a useful tool for predicting the variation of CO2 emission in the commercial forest Soils of South China . |
| 关 键 词： | 时间变异性 土壤 CO2 果园 森林生态系 |
| 收稿时间： | 22 August 2007 |
Temporal variability in soil CO2 emission in an orchard forest ecosystem |
|
| LI Yue-Lin,D. OTIENO,K. OWEN,ZHANG Yun,J. TENHUNEN,RAO Xing-Quan,LIN Yong-Biao.Temporal variability in soil CO2 emission in an orchard forest ecosystem[J].Pedosphere,2008,18(3):273-283. | |
| Authors: | LI Yue-Lin D OTIENO K OWEN ZHANG Yun J TENHUNEN RAO Xing-Quan and LIN Yong-Biao |
| Institution: | aSouth China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650 (China) bDepartment of Plant Ecology, University of Bayreuth, 95440 Bayreuth (Germany) cSchool of Resources and Environmental Science, Hubei University, Wuhan 430062 (China) |
| Abstract: | Temporal variability in soil CO2 emission from an orchard was measured using a dynamic open-chamber system for measuring soil CO2 efflux in Heshan Guangdong Province,in the lower subtropical area of China.Intensive measurements were conducted for a period of 12 months.Soil COs emissions were also modeled by multiple regression analysis from dally air temperature,dry-bulb saturated vapor pressure,relative humidity,atmospheric pressure,soil moisture,and soil temperature.Data was analyzed based on soil moisture levels and air temperature with annual data being grouped into either hot-humid season or relatively cool season based on the precipitation patterns.This was essential in order to acquire simplified exponential models for parameter estimation.Minimum and maximum daily mean soil CO2 efflux rates were observed in November and July,with respective rates of 1.98 ± 0.66 and 11.04 ± 0.96/μmol m-2 s-1 being recorded.Annual average soil CO2 emission (FCO2) was 5.92/μmol m-2 s-1.Including all the weather variables into the model helped to explain 73.9% of temporal variability in soil CO2 emission during the measurement period.Soil CO2 efflux increased with increasing soil temperature and soil moisture.Preliminary results showed that Q10,which is defined as the difference in respiration rates over a 10 ℃ interval,was partly explained by fine root biomass.Soil temperature and soil moisture were the dominant factors controlling soil CO2 efflux and were regarded as the driving variables for CO2 production in the soil.Including these two variables in regression models could provide a useful tool for predicting the variation of CO2 emission in the commercial forest soils of South China. |
| Keywords: | CO2 emission lower subtropical area orchard forest ecosystem soil moisture soil temperature |
| 本文献已被 维普 万方数据 ScienceDirect 等数据库收录！ | |
| 点击此处可从《土壤圈》浏览原始摘要信息 | |
| 点击此处可从《土壤圈》下载免费的PDF全文 | |