中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Interpreting spatial heterogeneity of crop yield with a process model and remote sensing

文献类型:期刊论文

作者Hu, Shi(胡实) ; Mo Xingguo
刊名ECOLOGICAL MODELLING
出版日期2011
卷号222期号:14页码:2530-2541
关键词WATER-USE EFFICIENCY NORTH CHINA PLAIN WINTER-WHEAT DURUM-WHEAT GAS-EXCHANGE ELEVATED CO2 GRAIN-YIELD CORN YIELD NDVI DATA NITROGEN
通讯作者Mo Xingguo
英文摘要A process-based crop growth model (Vegetation Interface Processes (VIP) model) is used to estimate crop yield with remote sensing over the North China Plain. Spatial pattern of the key parameter-maximum catalytic capacity of Rubisco (V(cmax)) for assimilation is retrieved from Normalized Difference of Vegetation Index (NDVI) from Terra-MODIS and statistical yield records. The regional simulation shows that the agreements between the simulated winter wheat yields and census data at county-level are quite well with R(2) being 0.41-0.50 during 2001-2005. Spatial variability of photosynthetic capacity and yield in irrigated regions depend greatly on nitrogen input. Due to the heavy soil salinity, the photosynthetic capacity and yield in coastal region is less than 50 mu mol C m(-2) s(-1) and 3000 kg ha(-1), respectively, which are much lower than that in non-salinized region, 84.5 mu mol C m(-2) s(-1) and 5700 kg ha(-1). The predicted yield for irrigated wheat ranges from 4000 to 7800 kg ha(-1), which is significantly larger than that of rainfed, 1500-3000 kg ha(-1). According to the path coefficient analysis, nitrogen significantly affects yield, by which water exerts noticeably indirect influences on yield. The effect of water on yield is regulated, to a certain extent, by crop photosynthetic capacity and nitrogen application. It is believed that photosynthetic parameters retrieved from remote sensing are reliable for regional production prediction with a process-based model.
收录类别SCI
资助信息973 Basic Research Project 2010CB428404;China MOST 0911;CAS KZCX2-YW-Q06-1
语种英语
公开日期2011-10-18
源URL[http://ir.igsnrr.ac.cn/handle/311030/6168]  
专题地理科学与资源研究所_研究生部
推荐引用方式
GB/T 7714
Hu, Shi,Mo Xingguo. Interpreting spatial heterogeneity of crop yield with a process model and remote sensing[J]. ECOLOGICAL MODELLING,2011,222(14):2530-2541.
APA Hu, Shi,&Mo Xingguo.(2011).Interpreting spatial heterogeneity of crop yield with a process model and remote sensing.ECOLOGICAL MODELLING,222(14),2530-2541.
MLA Hu, Shi,et al."Interpreting spatial heterogeneity of crop yield with a process model and remote sensing".ECOLOGICAL MODELLING 222.14(2011):2530-2541.

入库方式: OAI收割

来源:地理科学与资源研究所

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