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稻麦作物净初级生产力模型研究:模型检验与情景预测
引用本文:杨兆芳,于永强,黄耀.稻麦作物净初级生产力模型研究:模型检验与情景预测[J].环境科学,2005,26(2):16-20.
作者姓名:杨兆芳  于永强  黄耀
作者单位:南京农业大学资源与环境科学学院,南京,21009;中国科学院大气物理研究所,北京,100029;南京农业大学资源与环境科学学院,南京,21009;中国科学院大气物理研究所,北京,100029
基金项目:中国科学院知识创新工程重大项目(KZCX1-SW-01-13)
摘    要:利用我国若干代表性区域98组稻麦作物生产力的试验数据,对所建立的稻麦作物净初级生产力模型进行了检验.结果表明,该模型能根据常规的气象和土壤资料、化肥施用量等数据资料较好地模拟我国主要区域稻麦作物的净初级生产力.模拟值(y)与观测值(x)的线性关系为:y=1.05p-16.8(r2=0.771,p<0.001,n=98).对南京地区的情景预测结果表明:大气CO2浓度升高促进稻麦作物的固碳能力;气温升高会降低水稻和小麦的碳固定,但对小麦的影响要小于水稻;在当前情景及未来情景(CO2浓度为540μmol·mol-1,温度增加1~4℃)下,氮肥施用对小麦碳固定的促进作用大于水稻,氮肥施用量高于150 kg·hm-2时对2种作物的碳固定没有显著的促进作用,甚至降低水稻的净初级生产力.

关 键 词:稻麦作物  净初级生产力  模拟模型  检验  全球变化  情景预测
文章编号:0250-3301(2005)02-0016-05
收稿时间:2004/3/10 0:00:00
修稿时间:2004/8/30 0:00:00

Simulating Net Primary Production of Rice and Wheat Crops: Model Validation and Scenario Prediction
YANG Zhao-fang,YU Yong-qiang and HUANG Yao.Simulating Net Primary Production of Rice and Wheat Crops: Model Validation and Scenario Prediction[J].Chinese Journal of Environmental Science,2005,26(2):16-20.
Authors:YANG Zhao-fang  YU Yong-qiang and HUANG Yao
Institution:College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095,China.
Abstract:A model developed by the authors was validated against a total of 98 independent data sets to simulate net primary production (NPP) of rice and wheat crops. These data sets come from literature review and include field measurements conducted in different regions of China with various rates of N application. Model validation indicates that NPP of rice and wheat crops in main cultivated-area of China can be well simulated from weather, soil and N fertilization. A comparison between the simulated (y) and the observed NPP (x) resulted in a regression of y = 1.05x- 16.8 (r2= 0.771,p < 0.001, n = 98). Model scenario prediction for Nanjing area suggests that the increase of atmospheric CO2 concentration will enhance carbon fixation, while the increase of air temperature will reduce carbon fixation by rice and wheat crops. Effect of global warming on the wheat carbon fixation is less than on the rice. Under present and future scenario with atmospheric CO2 concentration of 540 micromol x mol(-1) and temperature increment of 1-4 degrees C, N fertilization will enhance carbon fixation of rice and wheat crops. The enhancement for wheat is more significant than that for rice crop. However, the application of N will not significantly improve the carbon fixation, even reduce rice NPP when the N application rate is higher than 150 kg x hm(-2).
Keywords:rice and wheat crops  NPP  simulation model  validation  global change  scenario prediction
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