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An overview of APSIM, a model designed for farming systems simulation

TLDR
The paper outlines APSIM's structure and provides details of the concepts behind the different plant, soil and management modules, including a diverse range of crops, pastures and trees, soil processes including water balance, N and P transformations, soil pH, erosion and a full range of management controls.
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This article is published in European Journal of Agronomy.The article was published on 2003-01-01 and is currently open access. It has received 2431 citations till now.

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Rising Temperatures Reduce Global Wheat Production

Senthold Asseng, +59 more
TL;DR: The authors systematically tested 30 different wheat crop models of the Agricultural Model Intercomparison and Improvement Project against field experiments in which growing season mean temperatures ranged from 15 degrees C to 32 degrees C, including experiments with artificial heating.
Journal ArticleDOI

AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles

TL;DR: The FAO crop model AquaCrop as mentioned in this paper is a water-driven growth engine, in which transpiration is calculated first and translated into biomass using a conservative, crop-specific parameter: the biomass water productivity, normalized for atmospheric evaporative demand and air CO 2 concentration.
Journal ArticleDOI

CropSyst, a cropping systems simulation model

TL;DR: CropSyst as discussed by the authors is a multi-year, multi-crop, daily time step simulation model developed to serve as an analytical tool to study the effect of climate, soils, and management on cropping systems productivity and the environment.
References
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Journal ArticleDOI

Analysis of factors controlling soil organic matter levels in Great Plains grasslands

TL;DR: In this article, a model of soil organic matter (SOM) quantity and composition was used to simulate steady-state organic matter levels for 24 grassland locations in the U.S. Great Plains.
Journal ArticleDOI

Model for predicting evaporation from a row crop with incomplete cover

TL;DR: In this article, a model for calculating the daily evaporation rate from a crop surface was presented for a row crop canopy situation in which the soil water supply to the plant roots was not limited and the crop has not come into an advanced stage of maturation or senescence.

CERES-Maize: a simulation model of maize growth and development

TL;DR: The Crop Environment Resource Synthesis (CERES) Maize model as discussed by the authors was developed at the United States Department of Agriculture (USDA) at the Grassland, Soil and Water Research Laboratory at the University of Michigan State University.
Book ChapterDOI

Decision support system for agrotechnology transfer: DSSAT v3

TL;DR: The decision support system for agrotechnology transfer (DSSAT) as discussed by the authors is a microcomputer software package that contains crop-soil simulation models, data bases for weather, soil, and crops, and strategy evaluation programs integrated with a ‘shell’ program which is the main user interface.
Journal ArticleDOI

APSIM: a novel software system for model development, model testing and simulation in agricultural systems research

TL;DR: A shell of software tools has been developed within a WINDOWS environment which includes user-installed editor, linker, compiler, testbed generator, graphics, database and version control software and the resulting product is one in which the functions are coded in the language most familiar to the developers of scientific modules but provides many of the features of object oriented programming.
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Frequently Asked Questions (13)
Q1. What have the authors contributed in "An overview of apsim, a model designed for farming systems simulation" ?

The paper outlines APSIM ’ s structure and provides details of the concepts behind the different plant, soil and management modules. 

Any release of N during the decomposition process in excess of the immobilization demand results in an increase in the ammonium-N.The rates of decomposition of the various soil organic matter pools are dependent on soil temperature and soil water content of the layers where decomposition is occurring. 

The ability to simulate processes using different simulation approaches is met using switches that are specified in the crop parameter file. 

Because APSIM was intended to be a model that could be applied to complex farming systems issues, the reports that compare model predictions with farming system performance over long-term crop/forage rotations are particularly important (e.g. Probert et al., 1995; Jones et al. 

Simulating multi-species mixtures will find increasing application as APSIM is applied to more complex issues in farming systems. 

The most useful model evaluation reports are those that have examined predicted and observed values of a range of plant and soil state variables over an extended period. 

Such a template, often referred to as a ‘crop template’ but potentially applicable beyond just crops, provides a means to capture unifying principles, testing new insights, and comparing approaches to component modelling, while maintaining a focus on predictive capability. 

This capability to detain surface water can change through time, e.g. increasing as a result of cultivation, or decreasing due to the impact of raindrops. 

The crop modules have also required modification; P uptake needs to be simulated and P stress in the plant calculated so that crop growth is constrained under P limiting conditions. 

Crop residues are added to a single surface residue pool that is described in terms of its mass, the cover it provides for the soil surface, and its nitrogen content. 

The formation of BIOM and HUM thus creates an immobilization demand that has to be met from the N released from the decomposing pools and/or by drawing on the mineral N (ammonium and nitrate) in the layer. 

The ability to switch between optional processes within sub-modules or between optional entire sub-modules facilitates logical comparative analysis of modelling approaches. 

The amount of residue may decrease due to: (1) Removal of residue (e.g. by burning or baling); such action does not alter the C:N ratio of the residues. 

Trending Questions (2)
What is APSIM and what is its principle ?

APSIM is a modular modelling framework developed for simulating biophysical processes in farming systems, particularly in relation to management practices and climatic risk.

A Realistic Farming Simulator Inspired from Agricultural Style?

APSIM is a farming systems simulator that models biophysical processes in agriculture, including crops, pastures, soil processes, and management controls.