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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/71980
Ver los metadatos del registro completo
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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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1844613301287256064 |
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13.070432 |