LAUSR

Abstract Native pastures in Uruguay grasslands are the main resource for livestock extensive farming. Remote sensing data of Net Aerial Primary Production is a useful tool to enhance knowledge about grasslands dynamics and behaviour. The pasture productivity on grasslands is highly affected by climate and droughts episodes impacts directly on secondary productivity of livestock systems. Using remote sensing data, a harmonic sinusoidal model affected by a "climate coefficient" is proposed to generate prospective scenarios and to study an implementation of the Safe stocking rate concept. This information can be use in extension activity to help farmers to adapt their systems to native grass dynamics on the adaptive management paradigm.