Coucheney, Elsa
- Institutionen för mark och miljö, Sveriges lantbruksuniversitet
Sammanfattning
We show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use input data of low resolution. Therefore, climate and soil data are often generated via averaging and sampling by area majority. This may bias simulated yields at large scales, varying largely across models. Thus, we evaluated the error associated with spatially aggregated soil and climate data for 14 crop models. Yields of winter wheat and silage maize were simulated under water-limited production conditions. We calculated this error from crop yields simulated at spatial resolutions from 1 to 100 km for the state of North Rhine-Westphalia, Germany. Most models showed yields biased by
Nyckelord
model variability; spatial variability; temporal variability; crop specific aggregation effects
Publicerad i
PLoS ONE
2016, volym: 11, nummer: 4, artikelnummer: e0151782
Utgivare: Public Library of Science
SLU författare
Eckersten, Henrik
- Institutionen för växtproduktionsekologi, Sveriges lantbruksuniversitet
- Institutionen för växtproduktionsekologi, Sveriges lantbruksuniversitet
Lewan, Elisabet
- Institutionen för mark och miljö, Sveriges lantbruksuniversitet
- Institutionen för mark och miljö, Sveriges lantbruksuniversitet
UKÄ forskningsämne
Jordbruksvetenskap
Publikationens identifierare
- DOI: https://doi.org/10.1371/journal.pone.0151782
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/78399