Carbon storage in the branchless trunk of the white mangrove Laguncularia racemosa (L.) in mangroves

Objective: Estimate branchless trunk biomass and carbon storage in Laguncularia racemosa. Design/methodology/approach: Dasometric inventories were conducted at 24 monitoring sites, and biomass and carbon storage were estimated using allometric equations. Wolfram Mathematica® software was utilized for simulations and to calculate the model’s correlation coefficient. Results: Maximum values of 127.08 Mg·ha⁻¹ for branchless trunk biomass and 60.99 MgC·ha⁻¹ for carbon storage were obtained. The simulation showed a correlation coefficient of R² = 0.805182 based on the collected data. Limitations on study/implications: The study focuses exclusively on Laguncularia racemosa within the Ejido La Solución Somos Todos in Tabasco, Mexico, which limits the applicability of the findings to other mangrove species or regions with different environmental conditions. Findings/conclusions: The mangroves in the Ejido La Solución Somos Todos demonstrate high biomass yield and significant carbon storage capacity. Continued research and development of conservation strategies are essential, given the critical role mangroves play in climate change mitigation.

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Publication Details

Journal
Agro Productividad
Published
2025-06-16
DOI
https://doi.org/10.32854/b20maj45
Primary Topic
Oil Palm Production and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
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article

Carbon storage in the branchless trunk of the white mangrove Laguncularia racemosa (L.) in mangroves

Gloria Isela Hernández Melchor, Baltazar Sánchez-Díaz, Ángel Sol Sánchez, C. J. M. Zaldívar et al.
Agro Productividad
Oil Palm Production and Sustainability
article

Carbon storage in the branchless trunk of the white mangrove Laguncularia racemosa (L.) in mangroves

Gloria Isela Hernández Melchor, Baltazar Sánchez-Díaz, Ángel Sol Sánchez, C. J. M. Zaldívar, Fidel Olive-Hernández
article en

Abstract

Objective: Estimate branchless trunk biomass and carbon storage in Laguncularia racemosa. Design/methodology/approach: Dasometric inventories were conducted at 24 monitoring sites, and biomass and carbon storage were estimated using allometric equations. Wolfram Mathematica® software was utilized for simulations and to calculate the model’s correlation coefficient. Results: Maximum values of 127.08 Mg·ha⁻¹ for branchless trunk biomass and 60.99 MgC·ha⁻¹ for carbon storage were obtained. The simulation showed a correlation coefficient of R² = 0.805182 based on the collected data. Limitations on study/implications: The study focuses exclusively on Laguncularia racemosa within the Ejido La Solución Somos Todos in Tabasco, Mexico, which limits the applicability of the findings to other mangrove species or regions with different environmental conditions. Findings/conclusions: The mangroves in the Ejido La Solución Somos Todos demonstrate high biomass yield and significant carbon storage capacity. Continued research and development of conservation strategies are essential, given the critical role mangroves play in climate change mitigation.

Agro Productividad
Colegio de Postgraduados (MX), Tecnalia (ES), Universidad Autónoma de Chiapas (MX)
Openalex Percentile: Top 86%
Oil Palm Production and Sustainability
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Carbon storage in the branchless trunk of the white mangrove Laguncularia racemosa (L.) in mangroves — Gloria Isela Hernández Melchor, Baltazar Sánchez-Díaz, et al. · Agro Productividad (2025) | TGRS Research Map | TGRS