Xia J., Niu S., Ciais P., Janssens I.A., Chen J., Ammann C., Arain M.A., Blanken P.D., Cescatti A., Bonnal D., Buchmann N., Curtis P.S., Chen S., Dong J., Flanagan L.B., Frankenberg C., Georgiadis T., Gough C.M., Hui D., Kiely G., Li J., Lund M., Magliulo V., Marcolla B., Merbold L., Montagnani L., Moors E.J., Olesen J.E., Piao S., Raschi A., Roupsard O., Suyker A.E., Urbaniak M., Vaccari F.P., Varlagin A., Vesala T., Wilkinson M., Weng E., Wohlfahrt G., Yan L., Luo Y.
2015
Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate¿carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological ...
Physiologie végétale : croissance et développement; Méthodes mathématiques et statistiques
2015
Terrestrial gross primary productivity (GPP) varies greatly over time and space. A better understanding of this variability is necessary for more accurate predictions of the future climate¿carbon cycle feedback. Recent studies have suggested that variability in GPP is driven by a broad range of biotic and abiotic factors operating mainly through changes in vegetation phenology and physiological ...
Physiologie végétale : croissance et développement; Méthodes mathématiques et statistiques