Accuracy, robustness and behavior of the STICS soil-crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France

Sammanfattning

Soil-crop models are increasingly used as predictive tools to assess yield and environmental impacts of agriculture in a growing diversity of contexts. They are however seldom evaluated at a given time over a wide domain of use. We tested here the performances of the STICS model (v8.2.2) with its standard set of parameters over a dataset covering 15 crops and a wide range of agropedoclimatic conditions in France. Model results showed a good overall accuracy, with little bias. Relative RMSE was larger for soil nitrate (49%) than for plant biomass (35%) and nitrogen (33%) and smallest for soil water (10%). Trends induced by contrasted environmental conditions and management practices were well reproduced. Finally, limited dependency of model errors on crops or environments indicated a satisfactory robustness. Such performances make STICS a valuable tool for studying the effects of changes in agro-ecosystems over the domain explored. (C) 2014 Elsevier Ltd. All rights reserved.

Nyckelord

Soil-crop model; STICS; Model performances; Plant biomass; Soil nitrogen; Soil water

Publicerad i

Environmental Modelling and Software
2015, volym: 64, sidor: 177–190

SLU författare

• Coucheney, Elsa

  • Institutionen för mark och miljö, Sveriges lantbruksuniversitet
    
  • Institut national de la recherche agronomique (INRA)

Globala målen (SDG)

SDG13 Bekämpa klimatförändringarna
SDG15 Ekosystem och biologisk mångfald

UKÄ forskningsämne

Markvetenskap
Miljö- och naturvårdsvetenskap
Jordbruksvetenskap

Publikationens identifierare

• DOI: https://doi.org/10.1016/j.envsoft.2014.11.024

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/63424