Development of a generic crop model template in the cropping system model APSIM

被引:211
作者
Wang, E
Robertson, MJ
Hammer, GL
Carberry, PS
Holzworth, D
Meinke, H
Chapman, SC
Hargreaves, JNG
Huth, NI
McLean, G
机构
[1] UQ, DPI, CSIRO, NRM,APSRU, Toowoomba, Qld 4350, Australia
[2] CSIRO Plant Ind, Long Pocket Labs, Indooroopilly, Qld 4068, Australia
关键词
generic crop model; component modelling; crop template; GCROP; modularity; APSIM;
D O I
10.1016/S1161-0301(02)00100-4
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The Agricultural Production Systems slMulator, APSIM, is a cropping system modelling environment that simulates the dynamics of soil-plant-management interactions within a single crop or a cropping system. Adaptation of previously developed crop models has resulted in multiple crop modules in APSIM, which have low scientific transparency and code efficiency. A generic crop model template (GCROP) has been developed to capture unifying physiological principles across crops (plant types) and to provide modular and efficient code for crop modelling. It comprises a standard crop interface to the APSIM engine, a generic crop model structure, a crop process library, and well-structured crop parameter files. The process library contains the major science underpinning the crop models and incorporates generic routines based on physiological principles for growth and development processes that are common across crops. It allows APSIM to simulate different crops using the same set of computer code. The generic model structure and parameter files provide an easy way to test, modify, exchange and compare modelling approaches at process level without necessitating changes in the code. The standard interface generalises the model inputs and outputs, and utilises a standard protocol to communicate with other APSIM modules through the APSIM engine. The crop template serves as a convenient means to test new insights and compare approaches to component modelling, while maintaining a focus on predictive capability. This paper describes and discusses the scientific basis, the design, implementation and future development of the crop template in APSIM. On this basis, we argue that the combination of good software engineering with sound crop science can enhance the rate of advance in crop modelling. Crown Copyright (C) 2002 Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码:121 / 140
页数:20
相关论文
共 85 条
[1]   Introduction: Modularity in plant models [J].
Acock, B ;
Reynolds, JF .
ECOLOGICAL MODELLING, 1997, 94 (01) :1-6
[2]  
Adiku S.K., 1993, P 7 AUSTR SOC AGR C, P382
[3]  
[Anonymous], [No title captured]
[4]   EARLY DETECTION OF NEIGHBOR PLANTS BY PHYTOCHROME PERCEPTION OF SPECTRAL CHANGES IN REFLECTED SUNLIGHT [J].
BALLARE, CL ;
SANCHEZ, RA ;
SCOPEL, AL ;
CASAL, JJ ;
GHERSA, CM .
PLANT CELL AND ENVIRONMENT, 1987, 10 (07) :551-557
[5]  
Boote K. J., 1998, Agricultural systems modeling and simulation., P651
[6]  
BOUMAN BAM, 2001, P MODSIM 2001 INT C, V4, P1793
[7]   MODELING GENOTYPIC AND ENVIRONMENTAL-CONTROL OF LEAF-AREA DYNAMICS IN GRAIN-SORGHUM .2. INDIVIDUAL LEAF LEVEL [J].
CARBERRY, PS ;
MUCHOW, RC ;
HAMMER, GL .
FIELD CROPS RESEARCH, 1993, 33 (03) :311-328
[8]   A SIMULATION-MODEL OF KENAF FOR ASSISTING FIBER INDUSTRY PLANNING IN NORTHERN AUSTRALIA .1. GENERAL INTRODUCTION AND PHENOLOGICAL MODEL [J].
CARBERRY, PS ;
MUCHOW, RC ;
WILLIAMS, R ;
STURTZ, JD ;
MCCOWN, RL .
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 1992, 43 (07) :1501-1513
[9]  
CARBERRY PS, 1991, CLIMATIC RISK IN CROP PRODUCTION : MODELS AND MANAGEMENT FOR THE SEMIARID TROPICS AND SUBTROPICS, P157
[10]  
Carberry PS, 1998, FARMING ACTION, P274