Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history
Descripción del Articulo
Through an extensive bibliographic review, this contribution underlines the urgency and challenges to quantify soil erosion rates (ERs) in developing countries. It subsequently elaborates on the combined application of GIS-based RUSLE, generalized likelihood uncertainty estimation (GLUE) principles...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2020 |
| Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
| Repositorio: | CONCYTEC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2579 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12390/2579 https://doi.org/10.1016/j.scitotenv.2019.135474 |
| Nivel de acceso: | acceso abierto |
| Materia: | Uncertainty Developing countries Land use change RUSLE Soil erosion http://purl.org/pe-repo/ocde/ford#2.07.01 |
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CONC |
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| dc.title.none.fl_str_mv |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history |
| title |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history |
| spellingShingle |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history Rosas M.A. Uncertainty Developing countries Land use change RUSLE Soil erosion http://purl.org/pe-repo/ocde/ford#2.07.01 |
| title_short |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history |
| title_full |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history |
| title_fullStr |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history |
| title_full_unstemmed |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history |
| title_sort |
Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history |
| author |
Rosas M.A. |
| author_facet |
Rosas M.A. Gutierrez R.R. |
| author_role |
author |
| author2 |
Gutierrez R.R. |
| author2_role |
author |
| dc.contributor.author.fl_str_mv |
Rosas M.A. Gutierrez R.R. |
| dc.subject.none.fl_str_mv |
Uncertainty |
| topic |
Uncertainty Developing countries Land use change RUSLE Soil erosion http://purl.org/pe-repo/ocde/ford#2.07.01 |
| dc.subject.es_PE.fl_str_mv |
Developing countries Land use change RUSLE Soil erosion |
| dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#2.07.01 |
| description |
Through an extensive bibliographic review, this contribution underlines the urgency and challenges to quantify soil erosion rates (ERs) in developing countries. It subsequently elaborates on the combined application of GIS-based RUSLE, generalized likelihood uncertainty estimation (GLUE) principles and sediment delivery ratio functions (SDR) to quantify ERs at country scale for these countries, as they commonly have limited measurements to that purpose. The methodology, termed RUSLE-GGS (RUSLE-GIS-GLUE-SDR) herein, comprises the following sequence: (1) construction of ER samples using RUSLE-GIS based on freely available local/global geoenvironmental observations and field relations, (2) construction of area-specific sediment yield samples utilizing SDR transfer functions, and (3) assessment of the most behavioral samples by means of bias analysis and cross validation. Its application to Peru allows obtaining 5-km resolution ER and potential erosion maps for the years 1990, 2000, and 2010. RUSLE-GGS is highly replicable and could potentially be used as an initial standard and systematic method to estimate ERs in developing countries through the active participation of local scientists. Thus, it potentially can contribute to improve the capacity building in such countries and set an initial frame to compare the evolution of soil erosion in their territories towards attaining Goal 15 of the UN 2030 Agenda for Sustainable Development. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
| dc.date.issued.fl_str_mv |
2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2579 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.scitotenv.2019.135474 |
| dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85076516899 |
| url |
https://hdl.handle.net/20.500.12390/2579 https://doi.org/10.1016/j.scitotenv.2019.135474 |
| identifier_str_mv |
2-s2.0-85076516899 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.none.fl_str_mv |
Science of the Total Environment |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Elsevier B.V. |
| publisher.none.fl_str_mv |
Elsevier B.V. |
| dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
| instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
| instacron_str |
CONCYTEC |
| institution |
CONCYTEC |
| reponame_str |
CONCYTEC-Institucional |
| collection |
CONCYTEC-Institucional |
| repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
| repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
| _version_ |
1844883022609907712 |
| spelling |
Publicationrp06633600rp06632600Rosas M.A.Gutierrez R.R.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2579https://doi.org/10.1016/j.scitotenv.2019.1354742-s2.0-85076516899Through an extensive bibliographic review, this contribution underlines the urgency and challenges to quantify soil erosion rates (ERs) in developing countries. It subsequently elaborates on the combined application of GIS-based RUSLE, generalized likelihood uncertainty estimation (GLUE) principles and sediment delivery ratio functions (SDR) to quantify ERs at country scale for these countries, as they commonly have limited measurements to that purpose. The methodology, termed RUSLE-GGS (RUSLE-GIS-GLUE-SDR) herein, comprises the following sequence: (1) construction of ER samples using RUSLE-GIS based on freely available local/global geoenvironmental observations and field relations, (2) construction of area-specific sediment yield samples utilizing SDR transfer functions, and (3) assessment of the most behavioral samples by means of bias analysis and cross validation. Its application to Peru allows obtaining 5-km resolution ER and potential erosion maps for the years 1990, 2000, and 2010. RUSLE-GGS is highly replicable and could potentially be used as an initial standard and systematic method to estimate ERs in developing countries through the active participation of local scientists. Thus, it potentially can contribute to improve the capacity building in such countries and set an initial frame to compare the evolution of soil erosion in their territories towards attaining Goal 15 of the UN 2030 Agenda for Sustainable Development.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengElsevier B.V.Science of the Total Environmentinfo:eu-repo/semantics/openAccessUncertaintyDeveloping countries-1Land use change-1RUSLE-1Soil erosion-1http://purl.org/pe-repo/ocde/ford#2.07.01-1Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case historyinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/2579oai:repositorio.concytec.gob.pe:20.500.12390/25792024-05-30 15:42:26.056http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="bb2cf234-539b-4410-81d7-238abfe06a23"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history</Title> <PublishedIn> <Publication> <Title>Science of the Total Environment</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1016/j.scitotenv.2019.135474</DOI> <SCP-Number>2-s2.0-85076516899</SCP-Number> <Authors> <Author> <DisplayName>Rosas M.A.</DisplayName> <Person id="rp06633" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gutierrez R.R.</DisplayName> <Person id="rp06632" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Elsevier B.V.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Uncertainty</Keyword> <Keyword>Developing countries</Keyword> <Keyword>Land use change</Keyword> <Keyword>RUSLE</Keyword> <Keyword>Soil erosion</Keyword> <Abstract>Through an extensive bibliographic review, this contribution underlines the urgency and challenges to quantify soil erosion rates (ERs) in developing countries. It subsequently elaborates on the combined application of GIS-based RUSLE, generalized likelihood uncertainty estimation (GLUE) principles and sediment delivery ratio functions (SDR) to quantify ERs at country scale for these countries, as they commonly have limited measurements to that purpose. The methodology, termed RUSLE-GGS (RUSLE-GIS-GLUE-SDR) herein, comprises the following sequence: (1) construction of ER samples using RUSLE-GIS based on freely available local/global geoenvironmental observations and field relations, (2) construction of area-specific sediment yield samples utilizing SDR transfer functions, and (3) assessment of the most behavioral samples by means of bias analysis and cross validation. Its application to Peru allows obtaining 5-km resolution ER and potential erosion maps for the years 1990, 2000, and 2010. RUSLE-GGS is highly replicable and could potentially be used as an initial standard and systematic method to estimate ERs in developing countries through the active participation of local scientists. Thus, it potentially can contribute to improve the capacity building in such countries and set an initial frame to compare the evolution of soil erosion in their territories towards attaining Goal 15 of the UN 2030 Agenda for Sustainable Development.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.413286 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).