棉花学报2012，Vol.24Issue(3)：244-252,9.
基于空间统计学的棉花冠层光合有效辐射空间格局分析方法
Spatial Geostatistical Analysis to Determine Spatial Patterns of Photosynthetically Active Radiation within Cotton Canopy
摘要
Abstract
A spatial statistics simulation method was applied to study the spatial distribution of photosynthetically active radiation (PAR) within cotton canopy grown at different densities. Spatial pattern of PAR transmittance rate was reflected depending on the scmivariograms and contour maps. The average PAR transmittance rate was calculated using the Kriging interpolation and the Simpson3/8 rule. The regression analysis was used to explore the correlation between average PAR transmittance rate and leaf area index (LAI). Cross validation was used to evaluate the predict accuracy of PAR transmittance rate by the Kriging interpolation. The results showed that PAR transmittance rate had strong spatial autocorrelation that perfectly fitted the Gaussian semivariogram model. The coefficients of determination were above 0.9 in all treatments. There were similar spatial patterns of PAR transmittance rate among different plant densities, but variance degree increased with increased plant density. There was an exponential correlation between average PAR transmittance rate of the canopy and leaf area index, which was consistent with previous studies. Applying spatial statistics to study the spatial distribution pattern of PAR will help to estimate PAR accurately. It will also be useful for optimizing co-cultivation methods and adjustment of crop canopy.关键词
棉花/光合有效辐射/空间统计/半方差函数/空间插值Key words
cotton/ photosynthetically active radiation/ spatial statistics/ semivariogram/ spatial interpolation分类
农业科技引用本文复制引用
孙恩虹,李亚兵,韩迎春,毛树春,冯璐,王国平,朱巧玲,范正义,董春旺..基于空间统计学的棉花冠层光合有效辐射空间格局分析方法[J].棉花学报,2012,24(3):244-252,9.基金项目
国家自然科学基金(31071368) （31071368）
国家棉花产业技术体系(CARS-18-17) （CARS-18-17）
