Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams

Autores
Moya, Nabor; Hugues, Robert M.; Dominguez, Eduardo; Gibon, François Marie; Goitia, Edgar; Oberdorff, Thierry
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We developed and validated a single multimetric index based on predictive models that could evaluate anthropogenic disturbances in streams of three disparate ecoregions of Bolivia. To do so, we examined 45 candidate metrics reflecting different aspects of macroinvertebrate assemblage structure and function gleaned from available literature and for their potential to indicate degradation. More importantly, we integrated functional trait metrics to improve the sensitivity of our index. To quantify possible deviation from reference conditions, we first established and validated statistical models describing metric responses to natural environmental differences in the absence of any significant anthropogenic disturbance. We considered that the residual distributions of these models described the response range of each metric, independently of natural environmental influence. After testing the sensitivity of these residuals to a gradient of anthropogenic disturbance, we retained eight metrics that were used in the final assemblage index, four metrics based on richness and composition and four metrics based on biological traits. Our index performed well in discriminating between reference and disturbed sites, giving a significant negative linear response to a gradient of physical and chemical anthropogenic disturbances. After employing a probability survey design and sampling a relatively small number of sites throughout all major ecoregions of Bolivia, we believe our methodology can be used to develop a monitoring tool to evaluate status and trends in biological condition for streams of the entire country despite its complex and heterogeneous geology and climate.
Fil: Moya, Nabor. Universidad Mayor de San Simón; Bolivia. Universite Pierre et Marie Curie; Francia
Fil: Hugues, Robert M.. State University of Oregon; Estados Unidos
Fil: Dominguez, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucuman. Instituto de Biodiversidad Neotropical. Universidad Nacional de Tucuman. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Biodiversidad Neotropical. Instituto de Biodiversidad Neotropical; Argentina
Fil: Gibon, François Marie. Muséum National d'Histoire Naturelle; Francia. Universite Pierre et Marie Curie; Francia
Fil: Goitia, Edgar. Universidad Mayor de San Simón; Bolivia
Fil: Oberdorff, Thierry. Muséum National d'Histoire Naturelle; Francia. Universite Pierre et Marie Curie; Francia
Materia
Anthropogenic Disturbances
Biological Traits
Macroinvertebrates
Multimetric Index
Neotropical Streams
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/71980

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network_name_str CONICET Digital (CONICET)
spelling Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streamsMoya, NaborHugues, Robert M.Dominguez, EduardoGibon, François MarieGoitia, EdgarOberdorff, ThierryAnthropogenic DisturbancesBiological TraitsMacroinvertebratesMultimetric IndexNeotropical Streamshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1We developed and validated a single multimetric index based on predictive models that could evaluate anthropogenic disturbances in streams of three disparate ecoregions of Bolivia. To do so, we examined 45 candidate metrics reflecting different aspects of macroinvertebrate assemblage structure and function gleaned from available literature and for their potential to indicate degradation. More importantly, we integrated functional trait metrics to improve the sensitivity of our index. To quantify possible deviation from reference conditions, we first established and validated statistical models describing metric responses to natural environmental differences in the absence of any significant anthropogenic disturbance. We considered that the residual distributions of these models described the response range of each metric, independently of natural environmental influence. After testing the sensitivity of these residuals to a gradient of anthropogenic disturbance, we retained eight metrics that were used in the final assemblage index, four metrics based on richness and composition and four metrics based on biological traits. Our index performed well in discriminating between reference and disturbed sites, giving a significant negative linear response to a gradient of physical and chemical anthropogenic disturbances. After employing a probability survey design and sampling a relatively small number of sites throughout all major ecoregions of Bolivia, we believe our methodology can be used to develop a monitoring tool to evaluate status and trends in biological condition for streams of the entire country despite its complex and heterogeneous geology and climate.Fil: Moya, Nabor. Universidad Mayor de San Simón; Bolivia. Universite Pierre et Marie Curie; FranciaFil: Hugues, Robert M.. State University of Oregon; Estados UnidosFil: Dominguez, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucuman. Instituto de Biodiversidad Neotropical. Universidad Nacional de Tucuman. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Biodiversidad Neotropical. Instituto de Biodiversidad Neotropical; ArgentinaFil: Gibon, François Marie. Muséum National d'Histoire Naturelle; Francia. Universite Pierre et Marie Curie; FranciaFil: Goitia, Edgar. Universidad Mayor de San Simón; BoliviaFil: Oberdorff, Thierry. Muséum National d'Histoire Naturelle; Francia. Universite Pierre et Marie Curie; FranciaElsevier Science2011-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/71980Moya, Nabor; Hugues, Robert M.; Dominguez, Eduardo; Gibon, François Marie; Goitia, Edgar; et al.; Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams; Elsevier Science; Ecological Indicators; 11; 3; 5-2011; 840-8471470-160XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2010.10.012info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1470160X10001962info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:10Zoai:ri.conicet.gov.ar:11336/71980instacron: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:34982025-09-29 09:41:10.644CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
title Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
spellingShingle Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
Moya, Nabor
Anthropogenic Disturbances
Biological Traits
Macroinvertebrates
Multimetric Index
Neotropical Streams
title_short Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
title_full Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
title_fullStr Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
title_full_unstemmed Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
title_sort Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams
dc.creator.none.fl_str_mv Moya, Nabor
Hugues, Robert M.
Dominguez, Eduardo
Gibon, François Marie
Goitia, Edgar
Oberdorff, Thierry
author Moya, Nabor
author_facet Moya, Nabor
Hugues, Robert M.
Dominguez, Eduardo
Gibon, François Marie
Goitia, Edgar
Oberdorff, Thierry
author_role author
author2 Hugues, Robert M.
Dominguez, Eduardo
Gibon, François Marie
Goitia, Edgar
Oberdorff, Thierry
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Anthropogenic Disturbances
Biological Traits
Macroinvertebrates
Multimetric Index
Neotropical Streams
topic Anthropogenic Disturbances
Biological Traits
Macroinvertebrates
Multimetric Index
Neotropical Streams
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We developed and validated a single multimetric index based on predictive models that could evaluate anthropogenic disturbances in streams of three disparate ecoregions of Bolivia. To do so, we examined 45 candidate metrics reflecting different aspects of macroinvertebrate assemblage structure and function gleaned from available literature and for their potential to indicate degradation. More importantly, we integrated functional trait metrics to improve the sensitivity of our index. To quantify possible deviation from reference conditions, we first established and validated statistical models describing metric responses to natural environmental differences in the absence of any significant anthropogenic disturbance. We considered that the residual distributions of these models described the response range of each metric, independently of natural environmental influence. After testing the sensitivity of these residuals to a gradient of anthropogenic disturbance, we retained eight metrics that were used in the final assemblage index, four metrics based on richness and composition and four metrics based on biological traits. Our index performed well in discriminating between reference and disturbed sites, giving a significant negative linear response to a gradient of physical and chemical anthropogenic disturbances. After employing a probability survey design and sampling a relatively small number of sites throughout all major ecoregions of Bolivia, we believe our methodology can be used to develop a monitoring tool to evaluate status and trends in biological condition for streams of the entire country despite its complex and heterogeneous geology and climate.
Fil: Moya, Nabor. Universidad Mayor de San Simón; Bolivia. Universite Pierre et Marie Curie; Francia
Fil: Hugues, Robert M.. State University of Oregon; Estados Unidos
Fil: Dominguez, Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucuman. Instituto de Biodiversidad Neotropical. Universidad Nacional de Tucuman. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Biodiversidad Neotropical. Instituto de Biodiversidad Neotropical; Argentina
Fil: Gibon, François Marie. Muséum National d'Histoire Naturelle; Francia. Universite Pierre et Marie Curie; Francia
Fil: Goitia, Edgar. Universidad Mayor de San Simón; Bolivia
Fil: Oberdorff, Thierry. Muséum National d'Histoire Naturelle; Francia. Universite Pierre et Marie Curie; Francia
description We developed and validated a single multimetric index based on predictive models that could evaluate anthropogenic disturbances in streams of three disparate ecoregions of Bolivia. To do so, we examined 45 candidate metrics reflecting different aspects of macroinvertebrate assemblage structure and function gleaned from available literature and for their potential to indicate degradation. More importantly, we integrated functional trait metrics to improve the sensitivity of our index. To quantify possible deviation from reference conditions, we first established and validated statistical models describing metric responses to natural environmental differences in the absence of any significant anthropogenic disturbance. We considered that the residual distributions of these models described the response range of each metric, independently of natural environmental influence. After testing the sensitivity of these residuals to a gradient of anthropogenic disturbance, we retained eight metrics that were used in the final assemblage index, four metrics based on richness and composition and four metrics based on biological traits. Our index performed well in discriminating between reference and disturbed sites, giving a significant negative linear response to a gradient of physical and chemical anthropogenic disturbances. After employing a probability survey design and sampling a relatively small number of sites throughout all major ecoregions of Bolivia, we believe our methodology can be used to develop a monitoring tool to evaluate status and trends in biological condition for streams of the entire country despite its complex and heterogeneous geology and climate.
publishDate 2011
dc.date.none.fl_str_mv 2011-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/71980
Moya, Nabor; Hugues, Robert M.; Dominguez, Eduardo; Gibon, François Marie; Goitia, Edgar; et al.; Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams; Elsevier Science; Ecological Indicators; 11; 3; 5-2011; 840-847
1470-160X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/71980
identifier_str_mv Moya, Nabor; Hugues, Robert M.; Dominguez, Eduardo; Gibon, François Marie; Goitia, Edgar; et al.; Macroinvertebrate-based multimetric predictive models for evaluating the human impact on biotic condition of Bolivian streams; Elsevier Science; Ecological Indicators; 11; 3; 5-2011; 840-847
1470-160X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2010.10.012
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1470160X10001962
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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