Evaluation of the growth of Cedrela odorata L. in coffee agroforestry systems in Pérez Zeledón, Costa Rica
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| Autores: | , , , |
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| Formato: | artículo original |
| Estado: | Versión publicada |
| Fecha de Publicación: | 2021 |
| Descripción: | [Introduction]: The combination of timber trees with agricultural crops has many advantages at the farm level, especially when the species used have high commercial value. [Objective]: Evaluate the growth of Spanish cedar (C. odorata) in coffee agroforestry systems using dasometric characterization and allometric models to predict the tree’s total and commercial volume. [Methodology]: A total of 140 1000 m2 temporary rectangular plots were established with one to 20-year-old cedar trees; in addition, the diameter of tree each at 1.3 m (DBH), total height (Ht), and commercial height (Hc) was measured. A total of 14 models were generated to predict total volume per tree using DBH, age, and height: for the set of ages (1 to 20 years) and ranges (every five years). A commercial volume model was also generated based on DBH and other elements connecting the other variables. [Results]: The general model predicts a total volume based on DBH with an R2= 0.99, while models by age range obtained an R2 greater than 0.95. The coefficient of determination of the commercial volume model was 0.79. [Conclusions]: Both the general model and the rank model successfully predict volume; however, the rank model better estimates the total volume between 11 and 16 years of age, while the general model is more recommended for the rest of the ages. |
| País: | Portal de Revistas UNA |
| Institución: | Universidad Nacional de Costa Rica |
| Repositorio: | Portal de Revistas UNA |
| Lenguaje: | Español |
| OAI Identifier: | oai:ojs.www.una.ac.cr:article/14905 |
| Acceso en línea: | https://www.revistas.una.ac.cr/index.php/ambientales/article/view/14905 |
| Palabra clave: | Agroforestry; regression; statistical parameters; total-commercial volume models Agroforestería; modelos de volumen total y comercial; parámetros estadísticos; regresión Agrofloricultura; modelos de volume total e comercial; parâmetros estatísticos; regressão |