Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Generalized biomass equations for the main aboveground biomass components of maritime pine across contrasting environments
Annals of Forest Science, Volume 68, No. 3, Year 2011
Notification
URL copied to clipboard!
Description
Introduction: In order to predict the biomass of aerial components of maritime pine stands (Pinus pinaster Ait.), generalized allometric equations were developed using data collected from the southern and northern margins of its geographical area. Methods: The data comprised biomass values divided into foliage, branch, stem and minor components collected from 26 trees in Tunisia and 152 trees in France. Some trees were taken from plots receiving fertilisation and irrigation. The equation W=aD b, where W is the biomass, D the stem diameter and a and b are fitted parameters, explained 98% of the variations in the total aerial biomass. The addition of tree age reduced significantly the residual sum of squares for the foliage component. This model explains 79% of the variations in foliage biomass observed. Results: To a lesser extent, the age variable also improved the stem and branch models that explain 98% and 71% of the observed sum of squares, respectively. Site variables such as the stocking density, stand basal area, fertilisation or annual precipitation did not reduce the residual sum of squares, suggesting that their putative effects are conveyed through tree growth rate. © INRA and Springer Science+Business Media B.V. 2011.
Authors & Co-Authors
Shaiek, Olfa
Tunisia, Tunis
University of Carthage
Loustau, Denis
France, Villenave-d'ornon
Centre Inrae Nouvelle-aquitaine Bordeaux
Trichet, Pierre
France, Villenave-d'ornon
Centre Inrae Nouvelle-aquitaine Bordeaux
Meredieu, Céline
France, Villenave-d'ornon
Centre Inrae Nouvelle-aquitaine Bordeaux
Bachtobji, Beya
Tunisia, Tunis
University of Carthage
Garchi, Salah
Tunisia, Tunis
University of Carthage
Aouni, Mohamed Hédi El
Tunisia, Tunis
University of Carthage
Statistics
Citations: 53
Authors: 7
Affiliations: 2
Identifiers
Doi:
10.1007/s13595-011-0044-8
e-ISSN:
1297966X
Study Locations
Tunisia