APSIM模型在西南地区的适应性评价——以重庆冬小麦为例  

Adaptability of APSIM model in Southwestern China: A case study of winter wheat in Chongqing City

作　　者：戴彤[1] 王靖[1] 赫迪[1] 张建平 王娜[1] 

机构地区：[1]中国农业大学资源与环境学院,北京100193 [2]重庆市气象科学研究所,重庆401147

出　　处：《应用生态学报》2015年第4期1237-1243,共7页Chinese Journal of Applied Ecology

基　　金：国家重点基础研究发展计划项目(2013CB430205)资助

摘　　要：利用重庆市4个代表性站点的小麦田间观测数据和同期逐日气象数据对APSIM模型在重庆小麦产区的适应性进行研究,确定了12个小麦品种的作物参数.结果表明：模拟小麦的播种至出苗、开花和成熟各阶段天数与实测值具有较好的一致性,其均方根误差值分别为0~3、1~8和0~8 d;模拟的12个小麦品种中,模拟与实测地上部分生物量的归一化均方根误差（NRMSE）均低于30%,10个品种模拟与实测产量的NRMSE均低于30%,作物生育期、地上部分生物量和产量的模拟结果均在可接受范围内波动.说明APSIM模型对不同品种冬小麦的生育期、地上部分生物量和产量模拟效果较好,该模型在重庆地区具有较好的适应性,为后续基于模型评估该地区小麦生产提供了基础支撑.Field experimental data of winter wheat and parallel daily meteorological data at four typ- ical stations in Chongqing City were used to calibrate and validate APSIM-wheat model and deter- mine the genetic parameters for 12 varieties of winter wheat. The results showed that there was a good agreement between the simulated and observed growth periods from sowing to emergence, flow- ering and maturity of wheat. Root mean squared errors （RMSEs） between simulated and observed emergence, flowering and maturity were 0-3, 1-8, and 0-8 d, respectively. Normalized root mean squared errors （NRMSEs） between simulated and observed above-ground biomass for 12 study vari- eties were less than 30%. NRMSE between simulated and observed yields for 10 varieties out of 12 study varieties were less than 30%. APSIM-wheat model performed well in simulating phenology, aboveground biomass and yield of winter wheat in Chongqing City, which could provide a founda- tional support for assessing the impact of climate change on wheat production in the study area based on the model.

关 键 词：重庆 冬小麦 APSIM模型 调参 验证 

分 类 号：S512.11[农业科学—作物学]