The results showed that the average errors of the simulations of leaf area index (LAI), biomass, and soil moisture content in 01 field experiments were 27.61%, 24.59% and 7.68%, and 32.65%, 35.95% and 10.26%, respectively, and those of LAI and biomass on the soils with high and low moisture content in 2002-2003 were 26.65% and 14.52%, and 23.91% and 27.93%, respectively.
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#How to win at apsim simulator
The Agricultural Production Systems Simulator ( APSIM) was applied to simulate the 1999-2001 field experimental data and the 2002-2003 water use data at the Yucheng Experiment Station under Chinese Ecosystem Research Network, aimed to verify the applicability of the model to the wheat-summer maize continuous cropping system in North China Plain.
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Wang, Lin Zheng, You-fei Yu, Qiang Wang, En-li Increasing rainfall intensity decreased APSIM-simulated N2O emissions but increased those simulated by DNDC. The two models also showed different responses to N load, with nearly linearly increasing N2O emission rates with N load simulated by DNDC, and a lower rate by APSIM. And while denitrification in DNDC is triggered by rainfall ≥5mm/h, in APSIM, the driving factor is soil water content, with a trigger point at water content at field capacity. In contrast, simulated denitrification showed a larger response to temperature and also organic carbon content in DNDC. Temperature had a larger effect in APSIM on nitrification, whereas in DNDC, water content produced a larger response. The effect of environmental conditions on N transformations as simulated by the two different models was compared. Two process-based models, the Agricultural Production Systems sIMulator ( APSIM) and DeNitrification DeComposition (DNDC), were used to simulate nitrification, denitrification and nitrous oxide (N2O) emissions from soils following N input from either fertiliser or excreta deposition. Various models have been developed to better understand nitrogen (N) cycling in soils, which is governed by a complex interaction of physical, chemical and biological factors. APSIM is powerful on describing crop structure, crop sequence, yield prediction, and quality control as well as erosion estimation under different planting pattern.Ĭomparison of APSIM and DNDC simulations of nitrogen transformations and N2O emissions. More than 20 crops have been simulated well. The current literatures revealed that APSIM could be applied in wide zone, including temperate continental, temperate maritime, sub-tropic and arid climate, and Mediterranean climates, with the soil type of clay, duplex soil, vertisol, silt sandy, silt loam and silt clay loam.
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APSIM (Agricultural Production Systems Simulator) was developed to simulate the biophysical process in farming system, and particularly in the economic and ecological features of the systems under climatic risk. Soil-crop simulator model is an effective tool for providing decision on agricultural management. Shen, Yuying Nan, Zhibiao Bellotti, Bill Robertson, Michael Chen, Wen Shao, Xinqing