Primary production is the most fundamental of all ecosystem functions, and the close link between fractional absorbed photosynthetically active radiation (fAPAR) and gross primary production (GPP) in terrestrial ecosystems offers the potential for near real-time hindcasting of GPP using high-quality and well-calibrated satellite measurements and spatially interpolated information on climate. The methodology for primary production monitoring deserves greater attention from modellers as the credibility of models for projection of Earth system responses and feedbacks depends, at least in part, on their ability to reproduce contemporary observations. A methodology and preliminary product will be presented, developed for the Australian continent, in which eddy-covariance CO2 and latent heat flux measurements have been used in the development of a theoretically well-founded light-use efficiency model for GPP, driven by remotely sensed fAPAR and climate data on a 5 km grid. Large-scale constraints on the spatiotemporal variations of GPP are being provided by streamflow data and remote atmospheric CO2 concentration measurements, exploiting the necessary mechanistic connections among GPP, transpiration and respiration. The methodology is proposed as a prototype for a transparent and consistent approach to the representation of plant carbon cycling in dynamic global vegetation models and Earth system models.
|Number of pages||1|
|Publication status||Published - 2012|
|Event||American Geophysical Union Fall Meeting (45th : 2012) - San Francisco, CA|
Duration: 3 Dec 2012 → 7 Dec 2012
|Conference||American Geophysical Union Fall Meeting (45th : 2012)|
|City||San Francisco, CA|
|Period||3/12/12 → 7/12/12|
- Data processing
- Remote sensing
- Primary production
Prentice, I. C., Evans, B. J., Huete, A. R., Haverd, V., Mikaloff-Fletcher, S. E., Hutchinson, M. F., ... Davies, K. (2012). Towards a plant carbon model based on satellite and climate observations: near real-time monitoring of primary production constrained by multiple data streams. Abstract from American Geophysical Union Fall Meeting (45th : 2012), San Francisco, CA, .