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

SDG15 Skydda, återställa och främja ett hållbart nyttjande av landbaserade ekosystem, hållbart bruka skogar, bekämpa ökenspridning, hejda och vrida tillbaka markförstöringen samt hejda förlusten av biologisk mångfald
SDG13 Vidta omedelbara åtgärder för att bekämpa klimatförändringarna och dess konsekvenser


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