Whenever data is not available or simulating the entire region of interest is not feasible, sampling seems to be a good solution. How many sampling points are needed to accurately estimate the regional yield? What’s the error associated with that? What is the most suitable sampling strategy for the variable of interest, model, region or spatial variability? These questionas are adressed at different stages of AgMIP:
- phase 1: estimates the performance of spatial sampling strategies accounting for climate variations
- phase 2: estimates the performance of spatial sampling strategies accounting for soil and climate variations
The performance of sampling for instance climate or soil is estimated for a range of crops, crop models, production situations and variables (yield, biomass, LAI, soil moisture, evapotranspiration, phenology, NPP, NEE, soil organic carbon, N2O-emmissions, NO3-leaching, etc.).