Relación entre suelos y estructura del bosque en la Amazonía colombiana
Forests structural differences could result of environmental variations at different scales. Because soils are an important component of plant's environment, it is possible that edaphic and structural variables are associated and that, in consequence, spatial autocorrelation occurs. This paper...
| Autores principales: | , , |
|---|---|
| Formato: | Online |
| Idioma: | spa |
| Publicado: |
Universidad de Costa Rica
2011
|
| Acceso en línea: | https://revistas.ucr.ac.cr/index.php/rbt/article/view/3401 |
| id |
RBT3401 |
|---|---|
| record_format |
ojs |
| institution |
Universidad de Costa Rica |
| collection |
Revista de Biología Tropical |
| language |
spa |
| format |
Online |
| author |
R. Calle-Rendón, Bayron Moreno, Flavio Cárdenas-López, Dairon |
| spellingShingle |
R. Calle-Rendón, Bayron Moreno, Flavio Cárdenas-López, Dairon Relación entre suelos y estructura del bosque en la Amazonía colombiana |
| author_facet |
R. Calle-Rendón, Bayron Moreno, Flavio Cárdenas-López, Dairon |
| author_sort |
R. Calle-Rendón, Bayron |
| description |
Forests structural differences could result of environmental variations at different scales. Because soils are an important component of plant's environment, it is possible that edaphic and structural variables are associated and that, in consequence, spatial autocorrelation occurs. This paper aims to answer two questions: (1) are structural and edaphic variables associated at local scale in a terra firme forest of Colombian Amazonia? and (2) are these variables regionalized at the scale of work? To answer these questions we analyzed the data of a 6ha plot established in a terra firme forest of the Amacayacu National Park. Structural variables included basal area and density of large trees (diameter=10cm) (Gdos and Ndos), basal area and density of understory individuals (diameter < 10cm) (Gsot and Nsot) and number of species of large trees (sp). Edaphic variables included were pH, organic matter, P, Mg, Ca, K, Al, sand, silt and clay. Structural and edaphic variables were reduced through a principal component analysis (PCA); then, the association between edaphic and structural components from PCA was evaluated by multiple regressions. The existence of regionalization of these variables was studied through isotropic variograms, and autocorrelated variables were spatially mapped. PCA found two significant components for structure, corresponding to the structure of large trees (G, Gdos, Ndos and sp) and of small trees (N, Nsot and Gsot), which explained 43.9% and 36.2% of total variance, respectively. Four components were identified for edaphic variables, which globally explained 81.9% of total variance and basically represent drainage and soil fertility. Regression analyses were significant (p < 0.05) and showed that the structure of both large and small trees is associated with greater sand contents and low soil fertility, though they explained a low proportion of total variability (R2 was 4.9% and 16.5% for the structure of large trees and small tress, respectively). Variables with spatial autocorrelation were the structure of small trees, Al, silt, and sand. Among them, Nsot and sand content showed similar patterns of spatial distribution inside the plot. |
| title |
Relación entre suelos y estructura del bosque en la Amazonía colombiana |
| title_short |
Relación entre suelos y estructura del bosque en la Amazonía colombiana |
| title_full |
Relación entre suelos y estructura del bosque en la Amazonía colombiana |
| title_fullStr |
Relación entre suelos y estructura del bosque en la Amazonía colombiana |
| title_full_unstemmed |
Relación entre suelos y estructura del bosque en la Amazonía colombiana |
| title_sort |
relación entre suelos y estructura del bosque en la amazonía colombiana |
| title_alt |
Relación entre suelos y estructura del bosque en la Amazonía colombiana |
| publisher |
Universidad de Costa Rica |
| publishDate |
2011 |
| url |
https://revistas.ucr.ac.cr/index.php/rbt/article/view/3401 |
| work_keys_str_mv |
AT rcallerendonbayron relacionentresuelosyestructuradelbosqueenlaamazoniacolombiana AT morenoflavio relacionentresuelosyestructuradelbosqueenlaamazoniacolombiana AT cardenaslopezdairon relacionentresuelosyestructuradelbosqueenlaamazoniacolombiana |
| _version_ |
1810114512888528896 |
| spelling |
RBT34012022-06-06T18:58:21Z Relación entre suelos y estructura del bosque en la Amazonía colombiana Relación entre suelos y estructura del bosque en la Amazonía colombiana R. Calle-Rendón, Bayron Moreno, Flavio Cárdenas-López, Dairon spatial autocorrelation Amacayacu National Park edaphic variables basal area tree density área basal autocorrelación espacial densidad de individuos Parque Nacional Natural Amacayacu variables edáficas Forests structural differences could result of environmental variations at different scales. Because soils are an important component of plant’s environment, it is possible that edaphic and structural variables are associated and that, in consequence, spatial autocorrelation occurs. This paper aims to answer two questions: (1) are structural and edaphic variables associated at local scale in a terra firme forest of Colombian Amazonia? and (2) are these variables regionalized at the scale of work? To answer these questions we analyzed the data of a 6ha plot established in a terra firme forest of the Amacayacu National Park. Structural variables included basal area and density of large trees (diameter≥10cm) (Gdos and Ndos), basal area and density of understory individuals (diameter<10cm) (Gsot and Nsot) and number of species of large trees (sp). Edaphic variables included were pH, organic matter, P, Mg, Ca, K, Al, sand, silt and clay. Structural and edaphic variables were reduced through a principal component analysis (PCA); then, the associa-tion between edaphic and structural components from PCA was evaluated by multiple regressions. The existence of regionalization of these variables was studied through isotropic variograms, and autocorrelated variables were spatially mapped. PCA found two significant components for structure, corresponding to the structure of large trees (G, Gdos, Ndos and sp) and of small trees (N, Nsot and Gsot), which explained 43.9% and 36.2% of total variance, respectively. Four components were identified for edaphic variables, which globally explained 81.9% of total variance and basically represent drainage and soil fertility. Regression analyses were significant (p<0.05) and showed that the structure of both large and small trees is associated with greater sand contents and low soil fertility, though they explained a low proportion of total variability (R2 was 4.9% and 16.5% for the structure of large trees and small tress, respectively). variables with spatial autocorrelation were the structure of small trees, Al, silt, and sand. Among them, Nsot and sand content showed similar patterns of spatial distribution inside the plot. Forests structural differences could result of environmental variations at different scales. Because soils are an important component of plant's environment, it is possible that edaphic and structural variables are associated and that, in consequence, spatial autocorrelation occurs. This paper aims to answer two questions: (1) are structural and edaphic variables associated at local scale in a terra firme forest of Colombian Amazonia? and (2) are these variables regionalized at the scale of work? To answer these questions we analyzed the data of a 6ha plot established in a terra firme forest of the Amacayacu National Park. Structural variables included basal area and density of large trees (diameter=10cm) (Gdos and Ndos), basal area and density of understory individuals (diameter < 10cm) (Gsot and Nsot) and number of species of large trees (sp). Edaphic variables included were pH, organic matter, P, Mg, Ca, K, Al, sand, silt and clay. Structural and edaphic variables were reduced through a principal component analysis (PCA); then, the association between edaphic and structural components from PCA was evaluated by multiple regressions. The existence of regionalization of these variables was studied through isotropic variograms, and autocorrelated variables were spatially mapped. PCA found two significant components for structure, corresponding to the structure of large trees (G, Gdos, Ndos and sp) and of small trees (N, Nsot and Gsot), which explained 43.9% and 36.2% of total variance, respectively. Four components were identified for edaphic variables, which globally explained 81.9% of total variance and basically represent drainage and soil fertility. Regression analyses were significant (p < 0.05) and showed that the structure of both large and small trees is associated with greater sand contents and low soil fertility, though they explained a low proportion of total variability (R2 was 4.9% and 16.5% for the structure of large trees and small tress, respectively). Variables with spatial autocorrelation were the structure of small trees, Al, silt, and sand. Among them, Nsot and sand content showed similar patterns of spatial distribution inside the plot. Universidad de Costa Rica 2011-09-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Article Text application/pdf https://revistas.ucr.ac.cr/index.php/rbt/article/view/3401 10.15517/rbt.v0i0.3401 Revista de Biología Tropical; Vol. 59 No. 3 (2011): Volume 59 – Regular number 3 – September 2011; 1307–1322 Revista de Biología Tropical; Vol. 59 Núm. 3 (2011): Volumen 59 – Número regular 3 – Setiembre 2011; 1307–1322 Revista Biología Tropical; Vol. 59 N.º 3 (2011): Volume 59 – Regular number 3 – September 2011; 1307–1322 2215-2075 0034-7744 10.15517/rbt.v0i0 spa https://revistas.ucr.ac.cr/index.php/rbt/article/view/3401/3305 Copyright (c) 2011 Revista de Biología Tropical http://creativecommons.org/licenses/by/4.0 |