自然资源学报

自然资源学报 ›› 2006, Vol. 21 ›› Issue (5): 790-801.doi: 10.11849/zrzyxb.2006.05.013

• 研究方法 • 上一篇    下一篇

中国农业植被净初级生产力模拟(I)——模型的建立与灵敏度分析

黄耀1, 王2, 张稳1, 于永强1, 王平2   

  1. 1. 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室,北京100029;
    2. 南京农业大学资源与环境科学学院,南京210095
  • 收稿日期:2006-01-13 修回日期:2006-04-03 出版日期:2006-10-25 发布日期:2006-10-25
  • 作者简介:黄耀(1956)，博士，教授，主要从事陆地碳氮循环模型与全球变化研究。E-mail:huangy@mail.iap.ac.cn
  • 基金资助:

    中国科学院知识创新工程重大项目K(ZCX1-SW-01-13);国家重点基础研究发展规划项目(2002CB412500)

Simulating Net Primary Production of Agricultural Vegetation in China(Ⅰ):Model Establishment and Sensitivity Analysis

HUANG Yao1, WANG Yu2, ZHANG Wen1, YU Yong-qiang1, WANG Ping2   

  1. 1. LAPC,Institute of Atmospheric Physics,CAS,Beijing 100029,China;
    2. College of Resources and Environmental Sciences,Nanjing Agricultural University,Nanjing 210095,China
  • Received:2006-01-13 Revised:2006-04-03 Online:2006-10-25 Published:2006-10-25

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14

摘要： 以业已建成的稻麦作物净初级生产力模型为基本框架,建立了一个具有普适性的中国农业植被净初级生产力模型(CropC-)。CropC-的模拟对象为占我国农作物总播种面积2/3的水稻、小麦、玉米、棉花、油菜和大豆。该模型包括2个主要功能模块:光合作用和呼吸作用;土壤-作物系统氮素运移。前者综合考虑了环境因子和氮素的影响,后者包括了作物氮素吸收、土壤氮矿化和化肥氮释放。灵敏度分析表明,在输入参数变化±10%时,CropC-对6个主要输入参数响应的敏感性依次为温度>光合有效辐射>大气CO2浓度>土壤全氮含量>施氮量>降水。模型分析表明,气候变暖将降低作物净初级生产力。

关键词: 农业植被, 净初级生产力, 模拟模型, 灵敏度分析, 碳循环, 气候变化

Abstract: Plant net primary production(NPP) of agriculture vegetation represents the capacity of sequestrating atmospheric CO2 in agro-ecosystem,and plays an important role in terrestrial carbon cycling.In comparison with natural ecosystems of forest and grassland,agro-ecosystem is much complex due to human activities.To better understand the contribution of agro-ecosystem to regional carbon budget,the simulation models of crop NPP have been developed well since the 1970s.However,few models are successfully put into practice in the agro-ecosystem of China,being mainly due to the unavailability of model inputs and the verification of reliability in different regions of China.The objectives of this paper are to establish a crop NPP model that could be put into practice in the agro-ecosystem of China and to make sensitivity analysis of the model. In light of a preliminary model established by the authors that simulates NPP of rice and wheat crops,a model named as Crop-C was developed.Crop-C is dedicated to the simulation of NPP of those crops of rice,wheat,maize,cotton,rapeseed and soybean planted in approximately two-thirds of agricultural soils in China.The model includes two main functional modules:photosynthesis and respiration,and nitrogen transport within soil-plant system.The processes of photosynthesis and respiration are mainly driven by environmental variables of temperature,solar radiation,precipitation,atmospheric CO2 concentration and crop tissue nitrogen.The transportation of nitrogen within soil-plant system is determined by simulating the processes of crop nitrogen uptake,soil nitrogen mineralization and synthetic nitrogen release. Model sensitivity analysis suggests that the sensitive significance of Crop-C to input parameters is in descending order of temperature,PAR,atmospheric CO2 concentration,soil nitrogen concentration,rate of nitrogen application and precipitation when the input parameters vary at-10% and 10%,respectively.In addition,global warming would have a negative effect on NPP of agricultural vegetation in China based on the model sensitivity analysis.

Key words: agricultural vegetation, net primary production, simulation model, sensitivity analysis, carbon cycling, global warming