Assessing soil erosion risk at national scale in developing countries: The technical challenges, a proposed methodology, and a case history

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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...

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Detalles Bibliográficos
Autores: Rosas M.A., Gutierrez R.R.
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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network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
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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