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基于GIS的农田土壤、作物特征空间变异性及其相互关系
引用本文:陈蓉蓉,周治国,曹卫星,戴廷波.基于GIS的农田土壤、作物特征空间变异性及其相互关系[J].应用生态学报,2004,15(9):1678-1680.
作者姓名:陈蓉蓉  周治国  曹卫星  戴廷波
作者单位:南京农业大学,江苏省信息农业高技术研究重点实验室,南京,210095
基金项目:国家自然科学基金重点项目 ( 3 0 0 3 0 0 90 ),国家“863”计划资助项目 ( 2 0 0 3AA2 0 90 3 0 )
摘    要:The objective of this research was to investigate the variability and the quantitative relationships among soil nutrients and crop growth status and yield. All data were analyzed by both classical statistics and geostatistics based on GIS. Soil properties included soil pH, total N, organic matter, available P and available K, while crop growth status was indicated by SPAD, LAI and SPAD × LAI. All parameters except soll pH exhibited spatial correlation.Soil total N and organic matter, SPAD, LAI and SPAD × LAI were all correlated to rice yield. Kriged interpolation maps provided good indication of the spatial variability in crop yield and growth status. Spatial interpolation and correlation analysis proved that SPAD × LAI was more indicative of crop growth status than individual variables, and useful for implementing growth season and topdressing as needed.

关 键 词:农田土壤  作物  空间变异性  GIS  精确农作  产量
文章编号:1001-9332(2004)09-1678-03
修稿时间:2003年6月3日

Spatial variability and quantitative analysis of field factors based on GIS
CHEN Rongrong,ZHOU Zhiguo,CAO Weixing,DAI Tingbo.Spatial variability and quantitative analysis of field factors based on GIS[J].Chinese Journal of Applied Ecology,2004,15(9):1678-1680.
Authors:CHEN Rongrong  ZHOU Zhiguo  CAO Weixing  DAI Tingbo
Institution:Hi-Tech Key Laboratory of Information Agriculture, Jiangsu Province, Nanjing Agricultural University, Nanjing 210095, China. rrchen@njau.edu.cn
Abstract:The objective of this research was to investigate the variability and the quantitative relationships among soil nutrients and crop growth status and yield. All data were analyzed by both classical statistics and geostatistics based on GIS. Soil properties included soil pH, total N, organic matter, available P and available K, while crop growth status was indicated by SPAD, LAI and SPAD x LAI. All parameters except soil pH exhibited spatial correlation. Soil total N and organic matter, SPAD, LAI and SPAD x LAI were all correlated to rice yield. Kriged interpolation maps provided good indication of the spatial variability in crop yield and growth status. Spatial interpolation and correlation analysis proved that SPAD x LAI was more indicative of crop growth status than individual variables, and useful for implementing growth season and topdressing as needed.
Keywords:GIS  Field information  Spatial variblity  Quantitative relationship  
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