Picard N., Boyemba Bosela F., Rossi V.
2015
Key message: Improving the precision of forest biomass estimates requires prioritizing the different sources of errors. In a tropical moist forest in central Africa, the choice of the allometric equation was found to be the main source of error. Context: When estimating the forest biomass at the landscape level using forest inventory data and allometric models, there is a chain of propagation of ...
Foresterie - Considérations générales; Méthodes mathématiques et statistiques; Méthodes de relevé
2015
Key message: Improving the precision of forest biomass estimates requires prioritizing the different sources of errors. In a tropical moist forest in central Africa, the choice of the allometric equation was found to be the main source of error. Context: When estimating the forest biomass at the landscape level using forest inventory data and allometric models, there is a chain of propagation of ...
Foresterie - Considérations générales; Méthodes mathématiques et statistiques; Méthodes de relevé