Biomass function for Acacia caven (Mol.) Mol. distributed in the dry land areas of south central Chile
Acacia caven is a key native species in the dry land region of south-central Chile. It is a species of high social and productive interest to landowners. Therefore, this study proposes a biomass function for A. caven, which involves incorporating predictor variables that are easily obtainable in the...
| Autores principales: | , , , , , , |
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| Formato: | Artículo revista |
| Lenguaje: | Inglés |
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Facultad de Ciencias Agrarias-UNCuyo
2018
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| Materias: | |
| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2955 |
| Aporte de: |
| id |
I11-R107article-2955 |
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| record_format |
ojs |
| institution |
Universidad Nacional de Cuyo |
| institution_str |
I-11 |
| repository_str |
R-107 |
| container_title_str |
Revista de la Facultad de Ciencias Agrarias UNCuyo |
| language |
Inglés |
| format |
Artículo revista |
| topic |
espino estepa zona semiárida de Chile sistemas silvopastorales espino steppe semi-arid regions of Chile silvopastoral systems |
| spellingShingle |
espino estepa zona semiárida de Chile sistemas silvopastorales espino steppe semi-arid regions of Chile silvopastoral systems Lucero Ignamarca, Alejandro Muñoz Sáez, Fernando Cancino Cancino, Jorge Cancino Sotomayor Garreton, Alvaro Dube, Francis Villarroel Muñoz, Arnoldo Sáez Carrillo, Katia Biomass function for Acacia caven (Mol.) Mol. distributed in the dry land areas of south central Chile |
| topic_facet |
espino estepa zona semiárida de Chile sistemas silvopastorales espino steppe semi-arid regions of Chile silvopastoral systems |
| author |
Lucero Ignamarca, Alejandro Muñoz Sáez, Fernando Cancino Cancino, Jorge Cancino Sotomayor Garreton, Alvaro Dube, Francis Villarroel Muñoz, Arnoldo Sáez Carrillo, Katia |
| author_facet |
Lucero Ignamarca, Alejandro Muñoz Sáez, Fernando Cancino Cancino, Jorge Cancino Sotomayor Garreton, Alvaro Dube, Francis Villarroel Muñoz, Arnoldo Sáez Carrillo, Katia |
| author_sort |
Lucero Ignamarca, Alejandro |
| title |
Biomass function for Acacia caven (Mol.) Mol. distributed in the dry land areas of south central Chile |
| title_short |
Biomass function for Acacia caven (Mol.) Mol. distributed in the dry land areas of south central Chile |
| title_full |
Biomass function for Acacia caven (Mol.) Mol. distributed in the dry land areas of south central Chile |
| title_fullStr |
Biomass function for Acacia caven (Mol.) Mol. distributed in the dry land areas of south central Chile |
| title_full_unstemmed |
Biomass function for Acacia caven (Mol.) Mol. distributed in the dry land areas of south central Chile |
| title_sort |
biomass function for acacia caven (mol.) mol. distributed in the dry land areas of south central chile |
| description |
Acacia caven is a key native species in the dry land region of south-central Chile. It is a species of high social and productive interest to landowners. Therefore, this study proposes a biomass function for A. caven, which involves incorporating predictor variables that are easily obtainable in the field and less complex than those used in already existing functions for the species. Due to the multi-purpose nature of the species and its potential for silvopastoral systems, these functions typify important planning tools to improve the management of this plant resource. To generate the biomass function, the methodology of destructive analysis of components was used on a total of 71 trees. These trees were selected, cut and weighed in the field to generate and test different models. Statistical analysis models were used and root collar diameter, diameter at breast height and total height served as predictor variables, resulting in a good adjustment of the models (R2 adjusted the 0.97 for stem-branches, 0.90 for stems and 0.96 for total biomass), with high correlations between estimated and real values. These functions may be used safely in plant formations of A. caven located in the same distribution area and within the range of the used variables. In the future, however, they require validation with new measurements in other sectors than the area considered to increase geographical representativeness. |
| publisher |
Facultad de Ciencias Agrarias-UNCuyo |
| publishDate |
2018 |
| url |
https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/2955 |
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2022-06-20T13:51:59Z |
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2022-06-20T13:51:59Z |
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