Anne Ruimy

TL;DR: A comparison of 17 global models of terrestrial biogeochemistry with respect to annual and seasonal fluxes of net primary productivity (NPP) for the land biosphere is presented in this article.

TL;DR: In this paper, the authors used the remote sensing of crop growth to estimate continental net primary productivity (NPP) as well as its seasonal and spatial variations, assuming a decomposition of NPP into independent parameters such as incident solar radiation, radiation absorption efficiency by canopies, and conversion efficiency of absorbed radiation into organic dry matter.

TL;DR: The purpose of this chapter is to assess the possibility of obtaining general relationships between the CO2 flux over canopies (F) and absorbed PPFD (Q), and to determine whether the relationship for a closed canopy is linear, consistent with the Monteith model, or curvilinear, consistency with the results of many mechanistic canopy models.

TL;DR: In this article, 12 global net primary productivity (NPP) models were compared: BIOME3, CASA, CARAIB, FBM, GLO-PEM, HYBRID, KGBM, PLAI, SDBM, SIB2, SILVAN and TURC.

TL;DR: TURC, a diagnostic model for the estimation of continental gross primary productivity and net primary productivity, is presented in this paper, where a remotely sensed vegetation index is used to estimate the fraction of solar radiation absorbed by canopies, and an original parameterization of the relationship between absorbed solar radiation and GPP, based on measurements of CO2 fluxes above plant canopy.