Cited by 1,344Climate change impacts on agricultureIrrigation Practices and Water ManagementAgronomic Practices and Intercropping Systems

CropSyst, a cropping systems simulation model

Stöckle, Claudio O., Donatelli, Marcello, Nelson, Roger·2003·European Journal of Agronomy

Abstract

CropSyst is a multi-year, multi-crop, daily time step cropping systems 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. CropSyst simulates the soil water and nitrogen budgets, crop growth and development, crop yield, residue production and decomposition, soil erosion by water, and salinity. The development of CropSyst started in the early 1990s, evolving to a suite of programs including a cropping systems simulator (CropSyst), a weather generator (ClimGen), GIS-CropSyst cooperator program (ArcCS), a watershed model (CropSyst Watershed), and several miscellaneous utility programs. CropSyst and associated programs can be downloaded free of charge over the Internet. One key feature of CropSyst is the implementation of a generic crop simulator that enables the simulation of both yearly and multi-year crops and crop rotations via a single set of parameters. Simulations can last a fraction of a year to hundreds of years. The model has been evaluated in many world locations by comparing model estimates to data collected in field experiments. CropSyst has been applied to perform risk and economic analyses of scenarios involving different cropping systems, management options, and soil and climatic conditions. An extensive list of references related to model development, evaluation, and application is provided.

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Crossref · 10.1016/s1161-0301(02)00109-0

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66 of 66 references verified0 citation errors · 0 not checkable

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  • Process-based models have previously been used to evaluate the growth, development and yield of annual and perennial crops under a wide range of conditions, including climate change projection across the globe.

    “Notably process-based models have previously been used to evaluate the growth, development and yield of annual and perennial crops under a wide range of conditions (Jones et al., 2003;Keating et al., 2003;Stöckle et al., 2003), including climate change projection across the globe (White et al., 2011;Asseng et al., 2013).”

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Authors
Stöckle, C. O., Donatelli, M., & Nelson, R.
Affiliations
Washington State University (US)
Corresponding author
Stöckle, Claudio O.
Venue
European Journal of Agronomy
Publisher
Elsevier BV
Published
2003-01
Volume
18
Issue
3-4
Pages
289-307
ISSN
1161-0301 (ISSN-L)
OpenAlex
W2019932413
Cited by
1,344
References
66
Citations by year
2026: 25 · 2025: 60 · 2024: 54 · 2023: 56 · 2022: 77 · 2021: 69 · 2020: 63 · 2019: 69 · 2018: 71 · 2017: 89 · 2016: 68 · 2015: 77 · 2014: 91 · 2013: 71 · 2012: 68
FWCI
22.52
Type
journal article
Language
en
Open access
closed
Locations
European Journal of Agronomy (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Irrigation Practices and Water Management
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agronomic Practices and Intercropping Systems
Keywords
CropSyst, crop growth simulation, crop rotation, soil water budget, nitrogen balance, crop yield, residue decomposition, soil erosion, soil salinity, weather generator, watershed modeling, climate change impacts on agriculture, model evaluation

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