摘要
借助农田开放式空气CO2浓度增高(FACE)技术平台,以武香粳14为供试水稻品种,设置不同施N量处理,研究大气CO2浓度为570μmol·mol-1(比对照高200μmol·mol-1)的FACE处理对水稻茎蘖动态的影响,并建立了相应的模拟模型:Tt=1+Ae1a1-b1t-1+Aea22-b2t+C×1+Ba31-b3t-1+Be2a4-b4t+D.模型以时间为驱动因子,描述了水稻茎蘖数随移栽天数的动态变化过程,对常规及CO2浓度增加条件下水稻茎蘖的变化均有很好的拟合性.通过不同年份试验数据对模型的检验,预测根均方差(RMSE)最大为44·27个·m-2,最小为13·96个·m-2,且相关系数均达到了极显著水平.表明模型的预测程度较高,具有很好的适用性.
With Japonica cultivar Wuxiangjing 14 as test material, a frec-air CO2 enrichment （FACE） experiment was conducted at Anzhen and Wuxi of Jiangsu Province in 2001 - 2003. The target CO2 concentration of FACE plots was 570 μmol · mol^-1 , 200 μmol · mol^-1 higher than that of ambient air. Three levels of N were supplied as LN （150 kg · hm^-2）, MN （250 kg · hm^-2） and HN （350 kg · hm^-2）. The effects of FACE treatment on the dynamics of rice tiller was aI studied, and the simulation model was established as Tt=A1/（1＋e^a1-b1t）-A2/（1＋e^a2-b2t）＋C×（B1/（1＋a3-b3t）-B2/（1＋e^a4-b4t））＋D.Where Tt was the numbers of rice tiller in t days after transplanting; A1 and A2 were the maximal tillers of production and death under ambient air, respectively; B1 and B2 were the maximal potential tillers of production and death under FACE, respectively; C was the coefficient of CO2 concentration; D was the initial tillers after transplanting; and a1 , a2, a3 , a4, b1 , b2, b3 and b4 were the control coefficients of the model. The dynamics of filler numbers with the days after transplanting was described, and the model fitted well under ambient air and FACE conditions. Through testing with different year experimental data, the maximum and minimum RMSE was forecasted as 44. 27 and 13. 96 ind · m^-2 , respectively, suggesting that the model was accurate and applicable.
出处
《应用生态学报》
CAS
CSCD
北大核心
2006年第8期1448-1452,共5页
Chinese Journal of Applied Ecology
基金
国家自然科学基金项目(30270777
30471013)
国家自然科学基金重大国际合作研究项目(40120140817)
中国科学院知识创新工程重要方向资助项目(KZCX-2-408
KSCX3-SW-440).
