Pan tropical biomass equations for Mexico's dry forests

• Main Author: José Návar
• Format: Article
• Language: English
• Published: Centro Editorial of Facultad de Ciencias Agrarias, Universidad Nacional de Colombia 2014-12-01
• Series: Agronomía Colombiana
• Subjects: Biomasa y bio-combustibles; ecuaciones teóricas y empíricas; ecuaciones mundiales para bosques tropicales; inventario forestal
• Online Access: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-99652014000300009&lng=en&tlng=en

This study reports a set of robust regional M-tree allometric equations for Mexico's tropical dry forests and their application to a forest inventory dataset for the States of Durango and Sinaloa, Mexico. Calculated M data from 15 reported equations were fitted, applied and validated for regional and global models. Proposed theoretical models, empirically derived equations, as well as global and local reported equations were fitted and applied to calculated M-tree data using wood specific gravity, diameter at breast height, and top height as exogenous variables. Empirically-derived, computer-based equations assessed the M-tree evaluations slightly better than the theoretical, the global and the local models. However, the theoretical models projected compatible M-tree values and deserve further attention once wood specific gravity data are collected in the field. Using the best fit equation, mean M plot density values of 30, 41 and 35 Mg ha-1 were estimated from 57 plots (1,600 m² each), 217 plots (1,000 m² each) and 166 plots (1,000 m² each) in the tropical dry forests of the States of Durango, Tiniaquis and Vado Hondo (Sinaloa), respectively. The large sample size, the richness of the tested allometric models, the economic and ecological importance of this data-source, and the spatial coverage of these equations made this dataset uniquely useful for biomass, charcoal, and other bio-energy estimations, as well as for understanding the inherent heterogeneity of the stand-structure in dynamic tropical forest environments.