CropSyst, a cropping systems simulation model

Stöckle, Claudio O.; Donatelli, Marcello; Nelson, Roger

doi:10.1016/s1161-0301(02)00109-0

Cited by 1,107 publications

(535 citation statements)

References 39 publications

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“…These simulations were performed using CropSyst (Stockle et al, 1994;Stöckle et al, 2003), a cropping system model that has been widely used for climate change assessment studies under different climatic conditions around the world (Sommer et al, 2013;Donatelli et al, 2015;Holzkämper et al, 2015;O'Leary et al, 2015). Downscaled gridded daily weather data (4 × 4 km) for the period 1979-2010 (Abatzoglou, 2013) were used for baseline simulations.…”

Section: Crop Yield Simulationsmentioning

confidence: 99%

Projected Dryland Cropping System Shifts in the Pacific Northwest in Response to Climate Change

et al. 2017

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Section: Crop Yield Simulationsmentioning

confidence: 99%

Projected Dryland Cropping System Shifts in the Pacific Northwest in Response to Climate Change

et al. 2017

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“…Simulations of crop response to climate change and elevated CO 2 were performed using CropSyst Version 4.12.10 (Stöckle et al, 1994;Stöckle et al, 2003), a cropping system simulation model that represents the response to weather and management of an array of annual and perennial crops and tree fruit crops. Parameters for the simulation of wheat (Pannkuk et al, 1998), potatoes (Peralta and Stöckle, 2002), and apples (Scott et al, 2004) for the region were taken from previous studies and were further refined using available information about crop phenology and morphological, physiological, and biophysical characteristics.…”

Section: Simulationsmentioning

confidence: 99%

Assessment of climate change impact on Eastern Washington agriculture

et al. 2010

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A n assessment of the potential impact of climate change and the concurrent increase of atmospheric carbon dioxide (CO 2 ) concentration on eastern Washington State agriculture was conducted. Climate projections from four selected general circulation models (GCM) were chosen to evaluate impacts for the periods 2010-2039, 2030-2059 and 2070-2099, identified as 2020, 2040, and 2080 scenarios, respectively. All climate projections reflect a warming future climate, but the individual GCMs vary with respect to precipitation changes -some models reflect wetter conditions and some drier. The assessment included the crops with larger economic value for the state at selected representative locations: irrigated apples at Sunnyside; irrigated potatoes at Othello; dryland wheat at Pullman (high precipitation), Saint John (intermediate precipitation), and Lind and Odessa (low precipitation). To evaluate crop performance, a cropping system simulation model (CropSyst) was utilized using historical and future climate sequences, including simulations with and without concurrent elevation of atmospheric CO 2 concentration as given by the IPCC A1B CO 2 emission projection. Crops were assumed to receive adequate water (irrigated crops) and nutrient supply and possible negative impacts from pests and diseases were not accounted for. Simulation results project that the impact of climate change on selected but economically significant crops in eastern Washington will be generally mild in the short term (i.e., next two decades), but increasingly detrimental with time (potential yield losses reaching 25% for some crops by the end of the century). However, the projected CO 2 elevation is expected to provide significant mitigation of climate change effects, and in fact result in yield gains for some crops. Yields of winter wheat, without CO 2 effect, are projected to increase 2% to 8% for the 2020 scenario, tending to decline with further warming in high precipitation locations, but continue increasing to reach a 12% gain by the 2080s in low precipitation locations. With CO 2 elevation, winter wheat yields are projected to increase by 15% for the 2020 scenario, with larger increases later in the century. Spring wheat yields are projected not to change for the 2020 scenario, and decline 10% to 15% (2040), and 20% to 26% (2080) without CO 2 effect. However, earlier planting combined with CO 2 elevation is projected to increase yields by 16% for the 2020 scenario. 191Yields of irrigated potatoes are projected to decline 9%, 15%, and 22% for the 2020, 2040, and 2080 scenarios, respectively, but these losses are significantly smaller (2 to 3%) with CO 2 elevation. Varieties with a longer duration of green leaf area, combined with elevated CO 2 , could potentially result in yield gains of 15%. However, reductions of tuber quality are a concern under warmer conditions. Apple yields are projected to decline 1%, 3%, and 4% for the 2020, 2040, and 2080 scenarios, respectively, but with projected yields increasing 6% (2020), 9% (2040), and...

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“…Details of the crop growth and irrigation scheduling modules of the SWB model can be found in Annandale et al (1999) and Annandale et al (2000). The N sub-module of the SWB-Sci model follows similar approaches to that of the Cropping Systems Simulation Model (CropSyst) (Stöckle et al, 2003). The nitrogen balance in SWB-Sci model includes nitrogen transport, nitrogen transformations, ammonium sorption and crop nitrogen uptake.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The SWB-Sci model is a mechanistic Soil-Water balance (Annandale et al, 1996), crop growth/ irrigation scheduling (Annandale et al, 2000(Annandale et al, , 2003, N and P balance (Tesfamariam, 2009;van der Laan, 2010) model. The recently added N cycle sub-routine of the SWB model was adopted from the Cropping Systems Simulation Model (CropSyst) (Stöckle et al, 2003).…”

Section: Introductionmentioning

confidence: 99%