FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)

Autores
Pomare, Jeremy; Juri Ayub, Jimena; Arcia, Manuel; Esquivel-López, Alexander
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Soil erosion is a key process in the degradation of terrestrial ecosystems, affecting agricultural productivity and environmental sustainability. This study evaluates soil redistribution in the La Zanguenga Creek micro-basin (a high pineapple production area). This micro-basin is part of the Panama Canal's hydrographic basin, which feeds the Gatun Lake, an artificial reservoir essential for the canal's operation. For its analysis, three methods were applied: Fallout Radionuclides (FRN), erosion pins, and the Universal Soil Loss Equation (USLE) model. The FRN method allows for the analysis of soil dynamics at different spatial and temporal scales, making it an effective tool for quantifying erosion and sedimentation rates. Erosion pins provide direct measurements, though they may present a degree of subjectivity depending on the accuracy of the reader. In contrast, mathematical models, while useful, have limitations due to specific parameters and require a considerable number of additional readings. The integration of multiple methods enables a more comprehensive assessment of soil redistribution in the La Zanguenga Creek micro-basin. In this region, soil losses due to erosion reach 200,08 t/ha in bare soils and 13,72 t/ha under conventional planting, exceeding the soil loss tolerance threshold of 11 t/ha/year (Mejia, 2018). These figures are largely attributed to human activities and the rainfall patterns characteristics of the area, which are further altered by the effects of climate change, leading to more frequent heavy rains. The impact of runoff varies depending on its speed and the vegetation cover present during rainfall events. In the case of the La Zanguenga micro-basin, the extensive pineapple cultivation areas lack sufficiently dense foliage to reduce aggressive soil displacement. However, different production systems are employed in the region, which may either increase or decrease soil erosion. This study aims to identify which of these methodologies is most suitable for local farmers, helping them understand soil redistribution processes through these techniques and providing tools to optimize agricultural practices and mitigate erosion effects.
Fil: Pomare, Jeremy. Universidad Tecnologica de Panamá.; Panamá
Fil: Juri Ayub, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: Arcia, Manuel. Universidad Tecnologica de Panamá.; Panamá
Fil: Esquivel-López, Alexander. Universidad Tecnologica de Panamá.; Panamá
8th International Conference on Environmental Radioactivity
Polonia
Institute of Nuclear Physics
Comenius University Bratislava
Polish Academy of Sciences
Materia
EROSION
FRN
PANAMA CANAL BASIN
DEGRADATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/284754
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)Pomare, JeremyJuri Ayub, JimenaArcia, ManuelEsquivel-López, AlexanderEROSIONFRNPANAMA CANAL BASINDEGRADATIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Soil erosion is a key process in the degradation of terrestrial ecosystems, affecting agricultural productivity and environmental sustainability. This study evaluates soil redistribution in the La Zanguenga Creek micro-basin (a high pineapple production area). This micro-basin is part of the Panama Canal's hydrographic basin, which feeds the Gatun Lake, an artificial reservoir essential for the canal's operation. For its analysis, three methods were applied: Fallout Radionuclides (FRN), erosion pins, and the Universal Soil Loss Equation (USLE) model. The FRN method allows for the analysis of soil dynamics at different spatial and temporal scales, making it an effective tool for quantifying erosion and sedimentation rates. Erosion pins provide direct measurements, though they may present a degree of subjectivity depending on the accuracy of the reader. In contrast, mathematical models, while useful, have limitations due to specific parameters and require a considerable number of additional readings. The integration of multiple methods enables a more comprehensive assessment of soil redistribution in the La Zanguenga Creek micro-basin. In this region, soil losses due to erosion reach 200,08 t/ha in bare soils and 13,72 t/ha under conventional planting, exceeding the soil loss tolerance threshold of 11 t/ha/year (Mejia, 2018). These figures are largely attributed to human activities and the rainfall patterns characteristics of the area, which are further altered by the effects of climate change, leading to more frequent heavy rains. The impact of runoff varies depending on its speed and the vegetation cover present during rainfall events. In the case of the La Zanguenga micro-basin, the extensive pineapple cultivation areas lack sufficiently dense foliage to reduce aggressive soil displacement. However, different production systems are employed in the region, which may either increase or decrease soil erosion. This study aims to identify which of these methodologies is most suitable for local farmers, helping them understand soil redistribution processes through these techniques and providing tools to optimize agricultural practices and mitigate erosion effects.Fil: Pomare, Jeremy. Universidad Tecnologica de Panamá.; PanamáFil: Juri Ayub, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; ArgentinaFil: Arcia, Manuel. Universidad Tecnologica de Panamá.; PanamáFil: Esquivel-López, Alexander. Universidad Tecnologica de Panamá.; Panamá8th International Conference on Environmental RadioactivityPoloniaInstitute of Nuclear PhysicsComenius University BratislavaPolish Academy of SciencesEnvira2025info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/284754FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal); 8th International Conference on Environmental Radioactivity; Polonia; 2025; 25-25CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://indico.ifj.edu.pl/event/1258/info:eu-repo/semantics/altIdentifier/url/https://indico.ifj.edu.pl/event/1258/attachments/1902/4597/book_of_abstract.pdfInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:40:13Zoai:ri.conicet.gov.ar:11336/284754instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 14:40:13.994CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
title FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
spellingShingle FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
Pomare, Jeremy
EROSION
FRN
PANAMA CANAL BASIN
DEGRADATION
title_short FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
title_full FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
title_fullStr FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
title_full_unstemmed FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
title_sort FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal)
dc.creator.none.fl_str_mv Pomare, Jeremy
Juri Ayub, Jimena
Arcia, Manuel
Esquivel-López, Alexander
author Pomare, Jeremy
author_facet Pomare, Jeremy
Juri Ayub, Jimena
Arcia, Manuel
Esquivel-López, Alexander
author_role author
author2 Juri Ayub, Jimena
Arcia, Manuel
Esquivel-López, Alexander
author2_role author
author
author
dc.subject.none.fl_str_mv EROSION
FRN
PANAMA CANAL BASIN
DEGRADATION
topic EROSION
FRN
PANAMA CANAL BASIN
DEGRADATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Soil erosion is a key process in the degradation of terrestrial ecosystems, affecting agricultural productivity and environmental sustainability. This study evaluates soil redistribution in the La Zanguenga Creek micro-basin (a high pineapple production area). This micro-basin is part of the Panama Canal's hydrographic basin, which feeds the Gatun Lake, an artificial reservoir essential for the canal's operation. For its analysis, three methods were applied: Fallout Radionuclides (FRN), erosion pins, and the Universal Soil Loss Equation (USLE) model. The FRN method allows for the analysis of soil dynamics at different spatial and temporal scales, making it an effective tool for quantifying erosion and sedimentation rates. Erosion pins provide direct measurements, though they may present a degree of subjectivity depending on the accuracy of the reader. In contrast, mathematical models, while useful, have limitations due to specific parameters and require a considerable number of additional readings. The integration of multiple methods enables a more comprehensive assessment of soil redistribution in the La Zanguenga Creek micro-basin. In this region, soil losses due to erosion reach 200,08 t/ha in bare soils and 13,72 t/ha under conventional planting, exceeding the soil loss tolerance threshold of 11 t/ha/year (Mejia, 2018). These figures are largely attributed to human activities and the rainfall patterns characteristics of the area, which are further altered by the effects of climate change, leading to more frequent heavy rains. The impact of runoff varies depending on its speed and the vegetation cover present during rainfall events. In the case of the La Zanguenga micro-basin, the extensive pineapple cultivation areas lack sufficiently dense foliage to reduce aggressive soil displacement. However, different production systems are employed in the region, which may either increase or decrease soil erosion. This study aims to identify which of these methodologies is most suitable for local farmers, helping them understand soil redistribution processes through these techniques and providing tools to optimize agricultural practices and mitigate erosion effects.
Fil: Pomare, Jeremy. Universidad Tecnologica de Panamá.; Panamá
Fil: Juri Ayub, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina
Fil: Arcia, Manuel. Universidad Tecnologica de Panamá.; Panamá
Fil: Esquivel-López, Alexander. Universidad Tecnologica de Panamá.; Panamá
8th International Conference on Environmental Radioactivity
Polonia
Institute of Nuclear Physics
Comenius University Bratislava
Polish Academy of Sciences
description Soil erosion is a key process in the degradation of terrestrial ecosystems, affecting agricultural productivity and environmental sustainability. This study evaluates soil redistribution in the La Zanguenga Creek micro-basin (a high pineapple production area). This micro-basin is part of the Panama Canal's hydrographic basin, which feeds the Gatun Lake, an artificial reservoir essential for the canal's operation. For its analysis, three methods were applied: Fallout Radionuclides (FRN), erosion pins, and the Universal Soil Loss Equation (USLE) model. The FRN method allows for the analysis of soil dynamics at different spatial and temporal scales, making it an effective tool for quantifying erosion and sedimentation rates. Erosion pins provide direct measurements, though they may present a degree of subjectivity depending on the accuracy of the reader. In contrast, mathematical models, while useful, have limitations due to specific parameters and require a considerable number of additional readings. The integration of multiple methods enables a more comprehensive assessment of soil redistribution in the La Zanguenga Creek micro-basin. In this region, soil losses due to erosion reach 200,08 t/ha in bare soils and 13,72 t/ha under conventional planting, exceeding the soil loss tolerance threshold of 11 t/ha/year (Mejia, 2018). These figures are largely attributed to human activities and the rainfall patterns characteristics of the area, which are further altered by the effects of climate change, leading to more frequent heavy rains. The impact of runoff varies depending on its speed and the vegetation cover present during rainfall events. In the case of the La Zanguenga micro-basin, the extensive pineapple cultivation areas lack sufficiently dense foliage to reduce aggressive soil displacement. However, different production systems are employed in the region, which may either increase or decrease soil erosion. This study aims to identify which of these methodologies is most suitable for local farmers, helping them understand soil redistribution processes through these techniques and providing tools to optimize agricultural practices and mitigate erosion effects.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/284754
FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal); 8th International Conference on Environmental Radioactivity; Polonia; 2025; 25-25
CONICET Digital
CONICET
url http://hdl.handle.net/11336/284754
identifier_str_mv FRN application and conventional methods for soil redistribution analysis in the La Zanguenga micro-basin (Panama Canal); 8th International Conference on Environmental Radioactivity; Polonia; 2025; 25-25
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://indico.ifj.edu.pl/event/1258/
info:eu-repo/semantics/altIdentifier/url/https://indico.ifj.edu.pl/event/1258/attachments/1902/4597/book_of_abstract.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Envira
publisher.none.fl_str_mv Envira
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reponame_str CONICET Digital (CONICET)
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repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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