Database of 478 allometric equations to estimate biomass for Mexican trees and forests

Abstract

International audienceKey messageWe present a comprehensive database of 478 allometric equations to estimate biomass of trees and other life forms in Mexican forest and scrubland ecosystems.ContextAccurate estimation of standing biomass in forests is a prerequisite for any approach to carbon storage and a number of additional applications.AimsTo provide a comprehensive database with allometric equations applicable to a large number of tree and shrub species of Mexico.MethodsAn intensive literature search was carried out to pull together all publications related to allometric equations in the libraries of the most important forest research institutes across Mexico and the neighboring countries.ResultsA total of 478 equations were compiled. Four hundred fourteen equations included a detailed analysis of all compartments of the trees; 7 equations applied to shrubs, 15 to bamboos, and 2 to palms. The collected equations are applicable to a wide variety of forest ecosystems in Mexico ranging from desert scrublands in the North to lowland evergreen rainforests in the South. The attached database of allometric equations is possibly the most extensive compilation of equations currently available for Mexico.ConclusionThe database covers almost 100 % of the individuals recorded in the National Forest Inventory

Dinámica de la biomasa aérea derivada de un programa de reforestación en San Luis Potosí

“…Al igual que en el presente estudio, Alatorre et al (2014) identificaron una tendencia de incremento en los valores del NDVI a partir del mismo sensor en el estado de Chihuahua en un análisis multitemporal (1986 -2011). genus level or, if they exist at the species level, which have as input the values of the diameter and height variables, which were generated by several authors (Návar, 2009;Rodríguez et al, 2006;Rodríguez et al, 2007;Rojas et al, 2015) for similar regions. The total biomass value per unit area was obtained with the sum of the total aboveground biomass of the trees recorded by conglomerate and extrapolated to values per hectare.…”

“…Se utilizó una cubierta digital en formato vectorial que contenía los límites de los predios con obras de reforestación en 2010 proporcionada por la Conafor. A las subimágenes resultantes se les aplicó el algoritmo de generación del NDVI con la siguiente relación: Para el cálculo de la biomasa aérea (tronco, ramas y follaje) se desarrollaron ecuaciones alométricas a nivel género o en caso de existir en nivel especie, las cuales tienen como entrada los valores de las variables de diámetro y altura, y que fueron generadas por diversos autores (Návar, 2009;Rodríguez et al, 2006;Rodríguez et al 2007;Rojas et al, 2015) para regiones similares. El valor de biomasa total por unidad de área, se obtuvo con la sumatoria de la biomasa total aérea de los árboles registrados por conglomerado y extrapolados a valores por hectárea.…”

Allometric Equations for Estimation of Biomass and Carbon Stocks in Temperate Forests of North-Western Mexico

“…The total AGB in each stand was calculated by applying the developed tree-level biomass equations (to each tree), converted into carbon content by using the carbon proportion estimated for each component and expressed per unit area (ha). The species or group species-specific AGB models reported by Rojas-García et al [18] were used to estimate total AGB for the tree species present in the permanent plots and for which no biomass equations were developed in this study.…”

A technical and socioeconomic approach to estimate forest residues as a feedstock for bioenergy in northern Mexico

“…Non-destructive or indirect methods instead use equations or mathematical models adjusted by means of regression analysis to construct the best relationship between several independent variables, such as diameter at breast height, basal area, volume, or specific density of the wood, and tree biomass. An extension of indirect methods is the use of expansion factors to determine the total dry weight, which can be extrapolated to any similar forest growth conditions (Rojas-García et al 2015). Remote sensing (e.g., LiDAR technology) is another approach that complements the advantages of indirect methods.…”