中国农业植被净初级生产力模拟(Ⅱ)——模型的验证与净初级生产力估算
Simulating Net Primary Production of Agricultural Vegetation in China (Ⅱ): Model Validation and Estimation of Net Primary Production
查看参考文献38篇
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文摘
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利用我国若干代表性区域6种主要作物(水稻、小麦、玉米、棉花、大豆、油菜)生产力的田间试验及统计数据,对中国农业植被净初级生产力模型Crop-C进行了验证.结果表明,该模型能利用常规的气象和土壤资料、化肥氮施用量等较好地模拟我国6种作物主产区的净初级生产力,模拟值与观测值的相关系数(R2)为0.80(n=786).将Crop-C模型与GIS空间数据库耦合,估计了1980-2000年中国农业植被净初级生产力.模拟结果表明,自1980年以来,中国农业植被净初级生产力呈增加趋势,从1980年的472.9Tg C增加到2000年的607.2Tg C,秦岭淮河以北的华北地区和西北部分地区增加最为明显. |
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其他语种文摘
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Models for simulating crop net primary production (NPP) have been developed well over the last three decades, while few of them are successfully put into practice in the agro-ecosystem of China. The objectives of this paper are to validate an existing model Crop-C developed by the authors, and to estimate crop NPP in China by employing Crop-C.Crop-C was validated against independent measurements from literature and the derived NPP from crop yields documented in national statistical yearbooks. Six crops of rice, wheat, maize, cotton. soybean and rapeseed, planted in approximately two thirds of agricultural soils in China, were involved in the validation. Model validation indicated that NPP of the six crops can be well simulated from weather, soil and N fertilization in various regions of China. A comparison between the simulated and the observed NPP resulted in a correlation coefficient (R~2) of 0.80 (n.=786).By linking the Crop-C to GIS database, crop NPP in mainland China was estimated from 1980 to 2000.The GIS database includes soils, weather, N fertilization and some other related parameters that were interpolated or rasterized into grid layers. Model estimates indicated that the NPP increased from 472.9Tg C in 1980 to 607.2Tg C in 2000.Higher NPP occurred in eastern and southern China, and lower NPP appeared in most parts of northwestern and southwestern China. Nevertheless. NPP increased significantly in northern China and some parts of northwestern China from 1980 to 2000 as the consumption of synthetic fertilizer increased.It was concluded that Crop-C can reasonably simulate NPP for crops of rice, wheat, maize, cotton, soybean and rapeseed with common available datasets of climate, soil and nitrogen fertilizer application. NPP of agricultural vegetation in China could be estimated by coupling Crop-C to regional databases with a high spatial resolution. In addition, NPP of Chinese agricultural vegetation increased significantly from 1980 to 2000 according to the regional estimates. |
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来源
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自然资源学报
,2006,21(6):916-925 【核心库】
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关键词
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作物
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模型
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验证
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地理信息系统
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地址
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1.
南京农业大学,资源与环境科学学院, 南京, 210095
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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
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-3037 |
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学科
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普通生物学 |
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基金
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中国科学院知识创新工程重大项目
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国家973计划
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文献收藏号
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CSCD:2539708
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