Silvopasture Systems and Climate Change: Estimate and Prediction of Arboreal Biomass

Silvopasture Systems and Climate Change: Estimate and Prediction of Arboreal Biomass

In this work both the biomass and carbon present in a vegetative cover from a silvopastoral system were quantified. The system, composed of Hyparrhenia rufa and Guazuma ulmifolia, was established naturally in Balzar, Guayas province of Ecuador. By using a destructive method and a random sampling in n...

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Translated title: Sistemas Silvopastoriles y Cambio climático: Estimación y predicción de Biomasa Arbórea
Sistemas Silvipastoris e Mudanças Climáticas: Estimação e Predição da Biomassa Arbórea
Journal Title: La Granja. Revista de Ciencias de la Vida
First author: Edwin Rolando Jiménez Ruiz
Other Authors: William Fonseca González;
Leticia Pazmiño Pesantez
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Language: English
Spanish
Get full text: https://lagranja.ups.edu.ec/index.php/granja/article/view/29.2019.04
Resource type: Journal Article
Source: La Granja. Revista de Ciencias de la Vida; Vol 29, No 1 (Year 2019).
DOI: http://dx.doi.org/10.17163/lgr.n29.2019.04
Publisher: Universidad Politécnica Salesiana
Usage rights: Reconocimiento - NoComercial - CompartirIgual (by-nc-sa)
Categories: Physical/Engineering Sciences --> Environmental Sciences
Abstract: In this work both the biomass and carbon present in a vegetative cover from a silvopastoral system were quantified. The system, composed of Hyparrhenia rufa and Guazuma ulmifolia, was established naturally in Balzar, Guayas province of Ecuador. By using a destructive method and a random sampling in nested plots both the arboreous and underground biomass of average-sized trees were measured as well as the necromass and herbaceous vegetation. Models were developed in order to estimate the volume and the biomass of the whole tree and its components (trunk, roots, branches and leaves). The arboreous biomass was estimated in 16,45 Mg/ha (8,23 MgC/ha), whereas the herbaceous vegetation and the necromass were 1,4 and 1,9 Mg/ha (0,7 and 0,95 MgC/ha), respectively. The models predict the biomass and the volume independence of the diameter with less than 3% of error and R2 values higher than 96%. In addition, information regarding factors that influence the expansion of biomass were generated.
Translated abstract: En este trabajo se cuantificó la biomasa y el carbono almacenado en la cobertura vegetal de un sistema silvopastoril compuesto por pasto (Hyparrhenia rufa) y guasmo (Guazuma ulmifolia) establecido en forma natural en el cantón Balzar de la provincia del Guayas en Ecuador. A través del método destructivo y con un muestreo aleatorio por medio de parcelas anidadas, se evaluó la cantidad de biomasa arbórea y subterránea de árboles de diámetro promedio, la necromasa y la vegetación herbácea. Se desarrollaron modelos para estimar la biomasa del árbol completo y sus componentes (tronco, raíz, ramas y hojas) y el volumen. La biomasa arbórea es de 16.45 Mgha-1 (8.23 MgC ha-1) y el aporte de la vegetación herbácea y la necromasa de 1.4 y 1.9 Mg ha-1 (0.7 y 0.95 Mg C ha-1), respectivamente. Los modelos predicen la biomasa y el volumen en función del diámetro con errores de estimación o sesgos menores al 3% y mostraron ajustes (R2) mayores a 96%. Adicionalmente, se generó información sobre factores de expansión de biomasa. Palabras claves: Biomasa, carbono, Guazuma ulmifolia, mitigación, modelos alométricos, servicios ambientales.
Neste trabalho, quantificou-se a biomassa e o carbono armazenado na cobertura vegetal de um sistema silvipastoril composto por pastagem (Hyparrhenia rufa) e guasmo (Guazuma ulmifolia), estabelecido de forma natural em Balzar, província de Guayas no Equador. Através do método destrutivo e com amostragem aleatória por meio de lotes aninhados, avaliou-se a quantidade de biomassa arbórea e subterrânea de árvores de diâmetro médio, a necromassa e a vegetação herbácea. Os modelos foram desenvolvidos para estimar a biomassa da árvore completa, seus componentes (tronco, raiz, ramos e folhas) e volume. A biomassa arbórea foi de 16,45 Mgha-1 (8,23 MgC ha-1) e a contribuição da vegetação herbácea e necromassa de 1,4 e 1,9 Mg ha-1 (0,7 e 0,95 Mg C ha-1), respectivamente. Os modelos predizem biomassa e volume de acordo com o diâmetro com erros de estimativa ou viés inferior a 3% e apresentaram ajustes (R2) superiores a 96%. Adicionalmente, informações sobre fatores de expansão de biomassa foram geradas.