Aboveground biomass and carbon estimations for Abies religiosa (Kunth) Schltdl. & Cham. in Mexico: regional allometric models

doi:10.3832/ifor4893-019

Aboveground biomass and carbon estimations for Abies religiosa (Kunth) Schltdl. & Cham. in Mexico: regional allometric models

Juan Carlos Guzmán-Santiago^(1-7-8), Benedicto Vargas-Larreta⁽²⁾, Martín Gómez-Cárdenas^(3-5), Adan Nava-Nava^(4-6) , Vicente Espinosa-Hernández⁽¹⁾, Ana Carolina González-Trillo⁽⁵⁾, Wenceslao Santiago-García⁽⁶⁾, Rigoberto González-Cubas⁽⁷⁾

iForest - Biogeosciences and Forestry, Volume 19, Issue 5, Pages 339-347 (2026)
doi: https://doi.org/10.3832/ifor4893-019
Published: Sep 02, 2026 - Copyright © 2026 SISEF

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Accurate estimation of forest biomass and carbon is essential for understanding ecosystem functions and supporting climate change mitigation efforts. This study presents regionally calibrated allometric equations to estimate aboveground biomass and carbon across different forest regions in Mexico, which is an important step toward improving national forest inventories and carbon accounting frameworks. We analyzed a dataset of 1919 trees from 13 Regional Forest Management Units (UMAFORs), collected through a targeted sampling strategy that encompasses all tree diameter classes. We evaluated two additive equation systems to predict aboveground biomass and carbon content by component (stem, branches, and total). Both systems were fitted simultaneously using the MODEL procedure and assessed through multiple goodness-of-fit statistics. The additive equations for tree components and total biomass and carbon showed acceptable fits. Although their overall performance was comparable, system 2 (S2) provided slightly higher predictive accuracy. The resulting region-specific equations offer practical tools for forest managers and policymakers to enhance sustainable forest management and carbon monitoring in the heterogeneous forest landscapes of Mexico.

Keywords

Additive Biomass Equations, Carbon Content, Equations System, Forest Inventories, Simultaneous Fitting, Sustainable Forest Management

Authors’ address

(1)

0000-0003-0130-2564
0000-0001-7009-4522
Colegio de Postgraduados, Posgrado en Ciencias Forestales, Campus Montecillo, Texcoco, CP 56230, Estado de México (Mexico)

(2)

0000-0003-1176-7330
Tecnológico Nacional de México/Instituto Tecnológico de El Salto. Tecnológico no. 101, La Forestal, CP 34942 El Salto, Pueblo Nuevo, Durango (Mexico)

(3)

0000-0003-2765-957x
Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Campo Experimental Uruapan, CP 60150 Avenida Latinoamericana, Col. Revolución, Uruapan, Michoacán (Mexico)

(4)

0000-0002-8637-3734
Agropecuaria Santa Genoveva SAPI de CV Carretera Cayal Nohyaxche km 87, Alfredo V Bonfil, CP 24570 San Francisco de Campeche, Campeche (Mexico)

(5)

0000-0003-2765-957x

Centro Interdisciplinario de Investigación Integral Regional IPN Unidad Durango, Sigma 119, 20 de Noviembre II, CP 34220 Durango (México)

(6)

0000-0002-8637-3734
0000-0003-1958-1696
Universidad de la Sierra Juárez, División de Estudios de Posgrado - Instituto de Estudios Ambientales, Avenida Universidad s/n, CP 68725 Ixtlán de Juárez, Oaxaca (Mexico)

(7)

0000-0003-0130-2564
0000-0001-9035-9874
Centro de Investigación, Divulgación y Asesoría Técnica Forestal y Agropecuaria SC, CP 69800 Tlaxiaco, Oaxaca (Mexico)

(8)

0000-0003-0130-2564
Tecnológico Nacional de México/Campus Teposcolula, CP 69500 Teposcolula, Oaxaca (Mexico)

Corresponding author

Adan Nava-Nava
navagro1976@gmail.com

Citation

Guzmán-Santiago JC, Vargas-Larreta B, Gómez-Cárdenas M, Nava-Nava A, Espinosa-Hernández V, González-Trillo AC, Santiago-García W, González-Cubas R (2026). Aboveground biomass and carbon estimations for Abies religiosa (Kunth) Schltdl. & Cham. in Mexico: regional allometric models. iForest 19: 339-347. - doi: 10.3832/ifor4893-019

Academic Editor

Pierluigi Paris

Paper history

Received: May 04, 2025
Accepted: Apr 20, 2026

First online: Sep 02, 2026
Publication Date: Oct 31, 2026
Publication Time: 4.50 months

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This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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