title: [Effects of management regime on soil respiration from agroecosystems].
abstract: In order to examine the effects of management regime, such as nitrogen application and plowing method, on soil respiration from farmland, the static opaque chamber-gas chromatograph method was used to measure soil CO2 fluxes in situ. The field measurement was carried out for 5 growing seasons, which were the 2002-2003 wheat, 2003 maize and soybean, 2003-2004 wheat, 2004 maize and 2004-2005 wheat seasons. Our results showed that soil respiration increased in fertilizer-applied treatments compared with no fertilizer treatment after 3 times of fertilizer application on 9 November 2002, 14 February and 26 March 2003. And the most obvious increase appeared following the third fertilizer application. No significant difference in soil respiration was found among several fertilizer application treatments. The effect of plowing depth on soil respiration was contingent on preceding cropping practice. Over the 2003-2004 wheat-growing seasons (its preceding cropping practice was rice paddy), mean soil respiration rates were not significant different (p > 0.05) between no plowing treatment and shallow plowing treatment. The shallow plowing treatment CT2 led to higher soil CO2 losses compared with no plowing treatment of NT2 in the 2004 maize-growing season, however, the significant higher (p < 0.05) soil respiration rates occurred with no plowing treatment of NT3 in the following 2004-2005 wheat-growing season. Intensive plowing (25 cm depth), compared with no plowing practice (NT4), increased soil respiration significantly during the 2004-2005 wheat-growing season. Regression analysis showed that the exponential function could be employed to fit the relationship between soil respiration and temperature. The exponential relationship yielded the Q10 values which were varied from 1.26 to 3.60, with a mean value of 2.08. To evaluate the effect of temperature on soil respiration, the CO2 emission fluxes were normalized for each treatment and each crop growing season. Plotting the normalized soil respiration against the temperature, the exponential relationship between these two parameters becomes obvious. The temperature coefficient Q10 was then evaluated as 1.66 according to the exponential relationship. Further investigation indicated that soil respiration could be well simulated by an empirical model in which the effects of both soil temperature and moisture on soil respiration were considered. This model described 54% variances of the measured 463 soil respiration rates, with a R2 of 0.54 and a p value less than 0.0001.
authors.affiliation: School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China. chenstyf@yahoo.com.cn
authors.forename: Shu-tao
authors.initials: ST
authors.lastname: Chen
authors.forename: Da-wei
authors.initials: DW
authors.lastname: Zhu
authors.forename: Chuan-po
authors.initials: CP
authors.lastname: Niu
authors.forename: Jian-wen
authors.initials: JW
authors.lastname: Zou
authors.forename: Chao
authors.initials: C
authors.lastname: Wang
authors.forename: Wen-juan
authors.initials: WJ
authors.lastname: Sun
mesh_terms: D002245:Carbon Dioxide / Q000032:analysis / Q000378:metabolism*; D019069:Cell Respiration; D018556:Crops, Agricultural / Q000254:growth & development*; D017753:Ecosystem; D005308:Fertilizers; D009584:Nitrogen / Q000032:analysis; D012987:Soil / Q000032:analysis*
chemical_list: D005308:Fertilizers; D012987:Soil; D002245:Carbon Dioxide; D009584:Nitrogen