Refining Regional Carbon Estimates in Teak (Tectona grandis L.f.) Plantations Using Pantropical Allometry and Measured Carbon Fractions

Teak plantations are widely promoted as productive forest systems with potential contributions to carbon storage and climate-oriented land management. However, plantation carbon estimates often rely on generic biomass-to-carbon conversion factors, which may overlook variation in carbon concentration among tree components. This study refined carbon estimates in tropical teak plantations in Nayarit, western Mexico, by combining pantropical allometry with measured carbon fractions. Carbon concentration was determined in leaves, branches, stem, roots, and total biomass, and carbon stocks were compared using the generic 0.47 factor and measured total biomass carbon fractions. Carbon concentration differed among biomass components, with leaves and branches remaining below 47%, while stem, roots, and total biomass exceeded this value. The measured total biomass carbon fraction averaged 48.24%, producing refined carbon estimates that were consistently higher than those obtained with the generic factor. Across plantation-age records, the refined approach increased carbon estimates by 1.33 Mg C ha−1, equivalent to a mean relative adjustment of 2.67%. When projected as an illustrative scenario, this difference represented 133, 665, and 1330 Mg C over 100, 500, and 1000 ha, respectively. These findings show that measured carbon fractions can reduce one source of conversion-related uncertainty and refine plantation-level carbon estimates. Broader regional application would require larger and more representative plantation inventories.

Authors

Institutions

Publication Details

Journal
Earth
Published
2026-06-30
DOI
https://doi.org/10.3390/earth7040109
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Refining Regional Carbon Estimates in Teak (Tectona grandis L.f.) Plantations Using Pantropical Allometry and Measured Carbon Fractions

Hebert Ernesto Ramos-Acuña, Rosario M. Bernaola-Paucar, Bayron Alexander Ruiz-Blandon, Leonor Neda Carbajal Cuadros et al.
Earth
Forest ecology and management
article

Refining Regional Carbon Estimates in Teak (Tectona grandis L.f.) Plantations Using Pantropical Allometry and Measured Carbon Fractions

Hebert Ernesto Ramos-Acuña, Rosario M. Bernaola-Paucar, Bayron Alexander Ruiz-Blandon, Leonor Neda Carbajal Cuadros, Julián Leonardo Mantari Mallqui, Yubel Mayela Carrasco Nuñez, Kenyi Paul Hinostroza Mendoza, Bertha Carolina Sotelo Alcántara
article en

Abstract

Teak plantations are widely promoted as productive forest systems with potential contributions to carbon storage and climate-oriented land management. However, plantation carbon estimates often rely on generic biomass-to-carbon conversion factors, which may overlook variation in carbon concentration among tree components. This study refined carbon estimates in tropical teak plantations in Nayarit, western Mexico, by combining pantropical allometry with measured carbon fractions. Carbon concentration was determined in leaves, branches, stem, roots, and total biomass, and carbon stocks were compared using the generic 0.47 factor and measured total biomass carbon fractions. Carbon concentration differed among biomass components, with leaves and branches remaining below 47%, while stem, roots, and total biomass exceeded this value. The measured total biomass carbon fraction averaged 48.24%, producing refined carbon estimates that were consistently higher than those obtained with the generic factor. Across plantation-age records, the refined approach increased carbon estimates by 1.33 Mg C ha−1, equivalent to a mean relative adjustment of 2.67%. When projected as an illustrative scenario, this difference represented 133, 665, and 1330 Mg C over 100, 500, and 1000 ha, respectively. These findings show that measured carbon fractions can reduce one source of conversion-related uncertainty and refine plantation-level carbon estimates. Broader regional application would require larger and more representative plantation inventories.

EarthVol. 7(4)
National Agrarian University (NI), Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (MX), Universidad Nacional del Centro del Perú (PE), Universidad Nacional de Huancavelica (PE), Universidad Tecnológica del Perú (PE), National University of Engineering (PE)
Climate action
Openalex Percentile: Top 6%
Forest ecology and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.