Projects per year
Climate, nitrogen (N) and leaf area index (LAI) are key determinants of crop yield. N additions can enhance yield but must be managed efficiently to reduce pollution. Complex process models estimate N status by simulating soil-crop N interactions, but such models require extensive inputs that are seldom available. Through model-data fusion (MDF), we combine climate and LAI time-series with an intermediate-complexity model to infer leaf N and yield. The DALEC-Crop model was calibrated for wheat leaf N and yields across field experiments covering N applications ranging from 0 to 200 kg N ha−1 in Scotland, UK. Requiring daily meteorological inputs, this model simulates crop C cycle responses to LAI, N and climate. The model, which includes a leaf N-dilution function, was calibrated across N treatments based on LAI observations, and tested at validation plots. We showed that a single parameterization varying only in leaf N could simulate LAI development and yield across all treatments—the mean normalized root-mean-square-error (NRMSE) for yield was 10%. Leaf N was accurately retrieved by the model (NRMSE = 6%). Yield could also be reasonably estimated (NRMSE = 14%) if LAI data are available for assimilation during periods of typical N application (April and May). Our MDF approach generated robust leaf N content estimates and timely yield predictions that could complement existing agricultural technologies. Moreover, EO-derived LAI products at high spatial and temporal resolutions provides a means to apply our approach regionally. Testing yield predictions from this approach over agricultural fields is a critical next step to determine broader utility.
|Publication status||Published - 10 Feb 2021|
FingerprintDive into the research topics of 'Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield'. Together they form a unique fingerprint.
- 3 Finished
Soils Research to deliver Greenhouse Gas REmovals and Abatement Technologies
Williams, M., Hillier, J. & Sohi, S.
20/06/17 → 19/06/21
Advanced technologies for efficient crop management: A participatory approach with application at farm scale
Williams, M. & MacArthur, A.
1/01/17 → 31/12/20
National Centre for Earth Observation (NCEO)
1/10/14 → 31/03/23
ATEC manuscript 3 - supporting data: "Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield"
Rees, R. (Creator), Williams, M. (Creator), Hoad, S. P. (Creator), Florence, A. (Creator) & Revill, A. (Creator), Edinburgh DataShare, 26 Feb 2021