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Journal ArticleDOI

Impact of soil erosion on production in cropping systems .I. Development and validation of a simulation model

TLDR
In this article, a computer simulation model to analyse risks of soil erosion to long-term crop production is described, called PERFECT, which simulates interactions between soil type, climate, fallow management strategy and crop sequence.
Abstract
A computer simulation model to analyse risks of soil erosion to long-term crop production is described. The model, called PERFECT, simulates interactions between soil type, climate, fallow management strategy and crop sequence. It contains six main modules; data input, water balance, crop growth, crop residue, erosion and model output. Modules are arranged in a framework that allows alternative modules to be used as required for the potential range of applications. The model contains dynamic crop growth models for wheat, sorghum and sunflower. Validation of PERFECT against small catchment and contour bay data collected throughout Queensland showed that PERFECT explained up to 84% of the variation in total available soil water, 89% of the variation in daily runoff, and up to 75% of the variation in grain yield. Average annual soil erosion was accurately predicted but daily erosion totals were less accurate due to the exclusion of rainfall intensity in erosion prediction. Variability in climate dominates agricultural production in the subtropical region of Australia. The validated model can be coupled with long-term climate and soils databases to simulate probabilities of production and erosion risks due to climatic variability. It provides a method to determine the impact of soil erosion on long-term productivity.

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Journal ArticleDOI

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

TL;DR: 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.
Journal ArticleDOI

A review of erosion and sediment transport models

TL;DR: Several different erosion and sediment and sediment-associated nutrient transport models with regard to these factors are reviewed, limited to those models with explicit considerations of either the sediment generation or transport process.
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.
Journal ArticleDOI

Soil Erosion Impact on Agronomic Productivity and Environment Quality

TL;DR: On-site effects of erosion on agronomic productivity are assessed with a wide range of methods, which can be broadly grouped into three categories: agronomics/soil quality evaluation, economic assessment, and knowledge surveys.
References
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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.
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