In this paper, a framework is presented for quantification of nutrient content and nutritive value of pasture ecosystems. Plants go through dramatic changes in phenology during their life-cycle, which is strongly influenced by the local climate. Plant development stage, nutrient concentration and nutritive value are intertwined and information on plant development stage can improve predictions of nutrient concentration and nutritive value of plant ecosystems. The framework presented combines estimates of the phenological state of ecosystems with hyperspectral data into a single model, capable of predicting nutrient concentrations and nutritive value. In this work, MODIS data are used to characterise seasonal changes on a landscape scale and EnMAP spectra are simulated using measured canopy reflectance. The framework was tested on experimental data from grazed annual pastures. Canopy reflectance spectra measured with a field spectrophotometer and plant samples were collected between 2006 and 2008 in 4 experiments on the south-west of Western Australia. Partial least squares models were calibrated and validated using a leave-experiment-out procedure. The potential application of the proposed framework to other ecosystems is discussed.