dor_id: 4120439

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Investigaciones Geográficas", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Scientific Electronic Library Online (SciELO); SCOPUS, Scimago Journal Rank (SJR); Bibliografía Latinoamericana en revistas de Investigación Científica y social (BIBLAT); Science Direct (Elsevier); Directory of Open Access Journals (DOAJ); Geographical Abstracts, Current, Geographical Publications, GeoDados

561.#.#.u: https://www.geografia.unam.mx/

650.#.4.x: Ciencias Sociales y Económicas

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://www.investigacionesgeograficas.unam.mx/index.php/rig/index

351.#.#.b: Investigaciones Geográficas

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/54706/51580

100.1.#.a: Garbanzo-león, Juan Gabriel; Alemán-montes, Brayan; Alvarado-hernández, Alfredo; Henríquez-henríquez, Carlos

524.#.#.a: Garbanzo-león, Juan Gabriel, et al. (2017). Statistical and conventional validation models in determining the spatial variation of soil fertility South pacific Costa Rica. Investigaciones Geográficas; Núm. 93. Recuperado de https://repositorio.unam.mx/contenidos/4120439

245.1.0.a: Statistical and conventional validation models in determining the spatial variation of soil fertility South pacific Costa Rica

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Geografía, UNAM

264.#.0.c: 2017

264.#.1.c: 2017-08-01

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico dianachg@igg.unam.mx

884.#.#.k: http://www.investigacionesgeograficas.unam.mx/index.php/rig/article/view/54706

001.#.#.#: 073.oai:ojs.pkp.sfu.ca:article/54706

041.#.7.h: spa

520.3.#.a: The study validates geo-statistical and conventional models for a soil fertility data set of  the South Pacific agricultural lands in the coastal plains of Costa Rica. A metha-analysis was conducted and a best adjustment semi-variogram employed to allow using Kriging interpolation. Statistical analysis included frequency distribution, means estimates, correlations and principal components analysis (CP). Values of selected variables were interpolated by ordinary Kriging following four consecutive validation types: field validation, cross validation, errors calculated for each interpolation of validations, subtraction of errors from original data observations, generation of a new field validation, and subsequent cross validation. Interpolations results were analyzed using error absolute average (PAE), error mean square (PCE), prediction affectivity (E) and determination (r2). The data set included soil available information of the counties Corredores, Golfito and Osa previously planted to oil palm, rice, forest and few other crops (named “cultivos varios”). Soils are mainly of alluvial origin in lower positions but with a little more development in the distal part of the hillsides, to include mainly Inceptisols, Ultisols, Entisols and a few Andisols. Variables investigated include pH, exchangeable acidity, Ca, Mg, K, P, Zn, Cu, Fe and Mn. Results shows high variation coefficients mainly for exchangeable acidity and availability of Mg, K, P, Zn, Cu Fe y Mn. Frequency analysis demonstrated abnormal distributions for all elements and tendencies between 25 and 75 percentiles however but normal for pH values. Mean values of variables by crops showed higher numbers under rice plantations pH (6.0), Ca (26.8 cmol (+) L-1), Mg (10.6 cmol (+) L-1) and Mn (34.2 mg L-1). Values for oil palm plantations were significantly higher (α = 005) for exchangeable acidity (0.5 cmol (+) L-1), K (0.8 cmol (+) L-1), P (13.1 mg L-1), Zn (2.8 mg L-1) y Fe (99.8 mg L-1). Spearman correlation analysis found proportional relationships between Ca, Mg, and K and inverse proportional correlation between pH y exchangeable acidity and soil available K and P. Other crops (“cultivos varios”) showed highly variable intermediate values. CP analysis explained 60.8% of nutrients variability in the study area with a relation between forest and other crops among CP1 and CP2 dimensions, probably related to the behavior of K and P under oil palm pH in rice fields. A relationship was also found among dimensions CP2 and CP3 for Fe and Cu under oil palm and pH under other crops. It was determined that soil acidity, pH and availability of Mg and K were strongly related to the nutritional management practices of the different crops and that of Ca particularly to the soil genesis on calcareous materials. Nutrients interpolation validation determined that PAE, PCE, E and r2 values improved prediction after removing interpolation errors. Corss validation after substration of interpolation errors showed the best interpolation adjustment as compared to field validation and both validations, and better estimation not subtracting nutrients distribution errors in the alluvial coastal plains of the South Pacific Costa Rica. It is concluded that the information provided by the maps build after interpolations well represent the special variability of the evaluated variables. This confirm that the tools employed is functional to develop relevant works in the diagnosis of nutrient problems in soils or soil fertility conditions for a region and other s similar with spatially referenced soil data.

773.1.#.t: Investigaciones Geográficas; Núm. 93

773.1.#.o: http://www.investigacionesgeograficas.unam.mx/index.php/rig/index

022.#.#.a: ISSN electrónico: 2448-7279; ISSN impreso: 0188-4611

310.#.#.a: Cuatrimestral

264.#.1.b: Instituto de Geografía, UNAM

doi: https://doi.org/10.14350/rig.54706

handle: 00cae8f852d5ec68

harvesting_date: 2023-08-23 17:00:00.0

856.#.0.q: application/pdf

file_creation_date: 2017-08-01 16:52:26.0

file_modification_date: 2017-08-01 16:52:33.0

file_name: 8c2ab1fb3413992a800aafeb38497048096fe45c026db5e519d54fe89b3d4b6c.pdf

file_pages_number: 22

file_format_version: application/pdf; version=1.4

file_size: 4517691

245.1.0.b: Validación de modelos geoestadísticos y convencionales en la determinación de la variación espacial de la fertilidad de suelos del Pacífico Sur de Costa Rica

last_modified: 2023-08-23 17:00:00

license_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode.es

license_type: by-nc

No entro en nada

No entro en nada 2

Artículo

Statistical and conventional validation models in determining the spatial variation of soil fertility South pacific Costa Rica

Garbanzo-león, Juan Gabriel; Alemán-montes, Brayan; Alvarado-hernández, Alfredo; Henríquez-henríquez, Carlos

Instituto de Geografía, UNAM, publicado en Investigaciones Geográficas, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Geografía, UNAM
Revista
Investigaciones Geográficas
Repositorio
Revistas UNAM
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Garbanzo-león, Juan Gabriel, et al. (2017). Statistical and conventional validation models in determining the spatial variation of soil fertility South pacific Costa Rica. Investigaciones Geográficas; Núm. 93. Recuperado de https://repositorio.unam.mx/contenidos/4120439

Descripción del recurso

Autor(es)
Garbanzo-león, Juan Gabriel; Alemán-montes, Brayan; Alvarado-hernández, Alfredo; Henríquez-henríquez, Carlos
Tipo
Artículo de Investigación
Área del conocimiento
Ciencias Sociales y Económicas
Título
Statistical and conventional validation models in determining the spatial variation of soil fertility South pacific Costa Rica
Fecha
2017-08-01
Resumen
The study validates geo-statistical and conventional models for a soil fertility data set of  the South Pacific agricultural lands in the coastal plains of Costa Rica. A metha-analysis was conducted and a best adjustment semi-variogram employed to allow using Kriging interpolation. Statistical analysis included frequency distribution, means estimates, correlations and principal components analysis (CP). Values of selected variables were interpolated by ordinary Kriging following four consecutive validation types: field validation, cross validation, errors calculated for each interpolation of validations, subtraction of errors from original data observations, generation of a new field validation, and subsequent cross validation. Interpolations results were analyzed using error absolute average (PAE), error mean square (PCE), prediction affectivity (E) and determination (r2). The data set included soil available information of the counties Corredores, Golfito and Osa previously planted to oil palm, rice, forest and few other crops (named “cultivos varios”). Soils are mainly of alluvial origin in lower positions but with a little more development in the distal part of the hillsides, to include mainly Inceptisols, Ultisols, Entisols and a few Andisols. Variables investigated include pH, exchangeable acidity, Ca, Mg, K, P, Zn, Cu, Fe and Mn. Results shows high variation coefficients mainly for exchangeable acidity and availability of Mg, K, P, Zn, Cu Fe y Mn. Frequency analysis demonstrated abnormal distributions for all elements and tendencies between 25 and 75 percentiles however but normal for pH values. Mean values of variables by crops showed higher numbers under rice plantations pH (6.0), Ca (26.8 cmol (+) L-1), Mg (10.6 cmol (+) L-1) and Mn (34.2 mg L-1). Values for oil palm plantations were significantly higher (α = 005) for exchangeable acidity (0.5 cmol (+) L-1), K (0.8 cmol (+) L-1), P (13.1 mg L-1), Zn (2.8 mg L-1) y Fe (99.8 mg L-1). Spearman correlation analysis found proportional relationships between Ca, Mg, and K and inverse proportional correlation between pH y exchangeable acidity and soil available K and P. Other crops (“cultivos varios”) showed highly variable intermediate values. CP analysis explained 60.8% of nutrients variability in the study area with a relation between forest and other crops among CP1 and CP2 dimensions, probably related to the behavior of K and P under oil palm pH in rice fields. A relationship was also found among dimensions CP2 and CP3 for Fe and Cu under oil palm and pH under other crops. It was determined that soil acidity, pH and availability of Mg and K were strongly related to the nutritional management practices of the different crops and that of Ca particularly to the soil genesis on calcareous materials. Nutrients interpolation validation determined that PAE, PCE, E and r2 values improved prediction after removing interpolation errors. Corss validation after substration of interpolation errors showed the best interpolation adjustment as compared to field validation and both validations, and better estimation not subtracting nutrients distribution errors in the alluvial coastal plains of the South Pacific Costa Rica. It is concluded that the information provided by the maps build after interpolations well represent the special variability of the evaluated variables. This confirm that the tools employed is functional to develop relevant works in the diagnosis of nutrient problems in soils or soil fertility conditions for a region and other s similar with spatially referenced soil data.
Idioma
spa
ISSN
ISSN electrónico: 2448-7279; ISSN impreso: 0188-4611

Enlaces