Assessing MODIS GPP in Non-Forested Biomes in Water Limited Areas Using EC Tower Data

摘要: Abstract: Although shrublands, savannas and grasslands account for 37% of the world’s terrestrial area, not many studies have analysed role these ecosystems in global carbon cycle at a regional scale. The MODIS Gross Primary Production (GPP) product is used here to help bridge this gap. In study, agreement between GPP (GPPm) Eddy Covariance tower data (GPPec) was tested six different sites temperate dry climatic regions (three grasslands, two shrublands one evergreen forest). Results study show that non-forest water-limited areas, GPPm well correlated with GPPec annual scales (r 2 = 0.77, n 12; SEE 149.26 g C·m −2 ·year −1 ), although it tends overestimate less accurate permanent water restrictions. use biome-specific models based on precipitation measurements finer spatial resolution than Data Assimilation Office (DAO) values can increase accuracy estimations. seasonal dynamics beginning end growing season were captured by where (i) productivity low throughout year or (ii) changes flux trend abrupt, usually due restrictions availability. non-forested