Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica

Tree biomass allometric models are essential to estimate biomass, carbon sequestration and nutrient cycling in cacao agroforestry systems and other land uses with woody perennial species. A total of 34 trees of Cordia alliodora, 74 trees of Theobroma cacao and 38 trees of eight fruit species (Inga s...

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Autores principales:	Somarriba, Eduardo, y otros dos autores más
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	Springer Nature 2023
Materias:	BIOMASA BIOMASS FRUTALES FRUIT CROPS SISTEMAS AGROFORESTALES AGROFORESTRY SYSTEMS THEOBROMA CACAO COSTA RICA CACAO TALAMANCA > COSTA RICA Sede Central
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/12222

id	RepoCATIE12222
record_format	dspace
spelling	RepoCATIE122222023-11-16T16:19:44Z Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica Somarriba, Eduardo y otros dos autores más BIOMASA BIOMASS FRUTALES FRUIT CROPS SISTEMAS AGROFORESTALES AGROFORESTRY SYSTEMS THEOBROMA CACAO COSTA RICA CACAO TALAMANCA -- COSTA RICA Sede Central Tree biomass allometric models are essential to estimate biomass, carbon sequestration and nutrient cycling in cacao agroforestry systems and other land uses with woody perennial species. A total of 34 trees of Cordia alliodora, 74 trees of Theobroma cacao and 38 trees of eight fruit species (Inga spp., Citrus aurantifolia, C. sinensis, Spondias mombin, Nephelium lappaceum, Persea americana, Mammea americana, Mangifera indica and Syzigium malaccensis) were harvested to gravimetrically estimate aboveground biomass (total, stem, branches, and foliage). Additionally, a database with total stem volume of 208 trees of C. alliodora was used to estimate above-ground biomass using a biomass expansion factor (BEF) and wood specific gravity estimations from this study. The well-known generic allometric models were fitted to the data using ordinary least squares, and the best ones were selected based on determination coefficient (R2), adjusted R2, root of mean square error, Akaike Information Criterion, Bayesian information criterion, and residual analyses. Selected models were compared with published models for the same species or group of species. Tree BEF were estimated for C. alliodora and fruit trees. The best fit models explained 93–96% of total above-ground biomass, and 54–95% of biomass by components. BEF differed significantly between timber and fruit trees. These models represent an advance in monitoring of carbon projects. 2023-01-02T20:35:46Z 2023-01-02T20:35:46Z 2022 Artículo https://repositorio.catie.ac.cr/handle/11554/12222 openAccess en Agroforestry Systems https://doi.org/10.1007/s10457-022-00741-y 11 páginas application/pdf Springer Nature
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	BIOMASA BIOMASS FRUTALES FRUIT CROPS SISTEMAS AGROFORESTALES AGROFORESTRY SYSTEMS THEOBROMA CACAO COSTA RICA CACAO TALAMANCA -- COSTA RICA Sede Central
spellingShingle	BIOMASA BIOMASS FRUTALES FRUIT CROPS SISTEMAS AGROFORESTALES AGROFORESTRY SYSTEMS THEOBROMA CACAO COSTA RICA CACAO TALAMANCA -- COSTA RICA Sede Central Somarriba, Eduardo y otros dos autores más Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica
description	Tree biomass allometric models are essential to estimate biomass, carbon sequestration and nutrient cycling in cacao agroforestry systems and other land uses with woody perennial species. A total of 34 trees of Cordia alliodora, 74 trees of Theobroma cacao and 38 trees of eight fruit species (Inga spp., Citrus aurantifolia, C. sinensis, Spondias mombin, Nephelium lappaceum, Persea americana, Mammea americana, Mangifera indica and Syzigium malaccensis) were harvested to gravimetrically estimate aboveground biomass (total, stem, branches, and foliage). Additionally, a database with total stem volume of 208 trees of C. alliodora was used to estimate above-ground biomass using a biomass expansion factor (BEF) and wood specific gravity estimations from this study. The well-known generic allometric models were fitted to the data using ordinary least squares, and the best ones were selected based on determination coefficient (R2), adjusted R2, root of mean square error, Akaike Information Criterion, Bayesian information criterion, and residual analyses. Selected models were compared with published models for the same species or group of species. Tree BEF were estimated for C. alliodora and fruit trees. The best fit models explained 93–96% of total above-ground biomass, and 54–95% of biomass by components. BEF differed significantly between timber and fruit trees. These models represent an advance in monitoring of carbon projects.
format	Artículo
author	Somarriba, Eduardo y otros dos autores más
author_facet	Somarriba, Eduardo y otros dos autores más
author_sort	Somarriba, Eduardo
title	Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica
title_short	Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica
title_full	Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica
title_fullStr	Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica
title_full_unstemmed	Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica
title_sort	above‑ground biomass models for dominant trees species in cacao agroforestry systems in talamanca, costa rica
publisher	Springer Nature
publishDate	2023
url	https://repositorio.catie.ac.cr/handle/11554/12222
work_keys_str_mv	AT somarribaeduardo abovegroundbiomassmodelsfordominanttreesspeciesincacaoagroforestrysystemsintalamancacostarica AT yotrosdosautoresmas abovegroundbiomassmodelsfordominanttreesspeciesincacaoagroforestrysystemsintalamancacostarica
_version_	1808116955861745664

Above‑ground biomass models for dominant trees species in cacao agroforestry systems in Talamanca, Costa Rica

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