Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina

Autores
Bauni, Valeria; Schivo, Facundo; Capmourteres, Virginia; Homberg, Marina
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Yacyretá dam is one of the most important hydroelectric projects in La Plata Basin.As a consequence of the filling of the reservoir to its final height of 83 meters; approximately 1;076 km2 of terrestrial and riparian ecosystems were flooded in Argentina and Paraguay. In order to evaluate the ecosystems loss due to this impounding; we generated two maps of land use/land cover from Landsat satellite images: 1987 (prior to the dam) and 2011 (after the final height was reached). We applied a post classification method and tested the gain; loss; and net change of natural and anthropic ecosystems in the study area with a cross tabulation matrix. Water bodies were the land cover type that showed the greatest degree of change; increasing 14.8% between periods. This was in detriment of; primarily; wetlands by 7.5%; grasslands by 4.0%; and native forests by 2.8%. However; sandbanks presented the highest probability of transition to another land class and; thus; correspond to the most vulnerable land covering the study area. Also; we detected a differential ecosystem loss; both in type and magnitude; up and downstream of the dam. Our work is the first one to address ecosystem loss in the Yacyretá area and our results should help to improve management policies; such as the design of the current network of compensatory reserves.
Fil: Bauni, Valeria. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.
Fil: Schivo, Facundo. Instituto de Investigación e Ingeniería Ambiental, Universidad Nacional de San Martín; Buenos Aires, Argentina.
Fil: Capmourteres, Virginia. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.
Fil: Homberg, Marina. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.
Fuente
Remote Sensing Applications: Society and Environment. 2015 1 50-60 Elsevier B.V.
https://www.sciencedirect.com/science/article/pii/S2352938515000063
Materia
RESERVOIR CREATION
LAND USE AND LAND COVER CHANGE
GIS ANALYSIS
INGENIERÍAS Y TECNOLOGÍAS
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
Repositorio Institucional (UNSAM)
Institución
Universidad Nacional de General San Martín
OAI Identificador
oai:ri.unsam.edu.ar:123456789/1001
Acceder
id RIUNSAM_5731fa396195c4402759b2982a3cd933
oai_identifier_str oai:ri.unsam.edu.ar:123456789/1001
network_acronym_str RIUNSAM
repository_id_str s
network_name_str Repositorio Institucional (UNSAM)
spelling Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; ArgentinaBauni, ValeriaSchivo, FacundoCapmourteres, VirginiaHomberg, MarinaRESERVOIR CREATIONLAND USE AND LAND COVER CHANGEGIS ANALYSISINGENIERÍAS Y TECNOLOGÍASThe Yacyretá dam is one of the most important hydroelectric projects in La Plata Basin.As a consequence of the filling of the reservoir to its final height of 83 meters; approximately 1;076 km2 of terrestrial and riparian ecosystems were flooded in Argentina and Paraguay. In order to evaluate the ecosystems loss due to this impounding; we generated two maps of land use/land cover from Landsat satellite images: 1987 (prior to the dam) and 2011 (after the final height was reached). We applied a post classification method and tested the gain; loss; and net change of natural and anthropic ecosystems in the study area with a cross tabulation matrix. Water bodies were the land cover type that showed the greatest degree of change; increasing 14.8% between periods. This was in detriment of; primarily; wetlands by 7.5%; grasslands by 4.0%; and native forests by 2.8%. However; sandbanks presented the highest probability of transition to another land class and; thus; correspond to the most vulnerable land covering the study area. Also; we detected a differential ecosystem loss; both in type and magnitude; up and downstream of the dam. Our work is the first one to address ecosystem loss in the Yacyretá area and our results should help to improve management policies; such as the design of the current network of compensatory reserves.Fil: Bauni, Valeria. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.Fil: Schivo, Facundo. Instituto de Investigación e Ingeniería Ambiental, Universidad Nacional de San Martín; Buenos Aires, Argentina.Fil: Capmourteres, Virginia. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.Fil: Homberg, Marina. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.Elsevier B.V.2015-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfpp. 50-60application/pdfBauni, V.; Schivo, F.; Capmourteres, V. y Homberg, M. (2015) Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá, Argentina. En: Remote Sensing Applications: Society and Environment. Elsevier, 1, 50-602352-9385RSASE 2015 1 50-60https://ri.unsam.edu.ar/handle/123456789/1001Remote Sensing Applications: Society and Environment. 2015 1 50-60 Elsevier B.V.https://www.sciencedirect.com/science/article/pii/S2352938515000063reponame:Repositorio Institucional (UNSAM)instname:Universidad Nacional de General San Martínenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5)2026-09-24T12:45:21Zoai:ri.unsam.edu.ar:123456789/1001instacron:UNSAMInstitucionalhttp://ri.unsam.edu.arUniversidad públicaNo correspondehttp://ri.unsam.edu.ar/oai/lpastran@unsam.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:s2026-09-24 12:46:45.433Repositorio Institucional (UNSAM) - Universidad Nacional de General San Martínfalse
dc.title.none.fl_str_mv Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
title Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
spellingShingle Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
Bauni, Valeria
RESERVOIR CREATION
LAND USE AND LAND COVER CHANGE
GIS ANALYSIS
INGENIERÍAS Y TECNOLOGÍAS
title_short Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
title_full Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
title_fullStr Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
title_full_unstemmed Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
title_sort Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá; Argentina
dc.creator.none.fl_str_mv Bauni, Valeria
Schivo, Facundo
Capmourteres, Virginia
Homberg, Marina
author Bauni, Valeria
author_facet Bauni, Valeria
Schivo, Facundo
Capmourteres, Virginia
Homberg, Marina
author_role author
author2 Schivo, Facundo
Capmourteres, Virginia
Homberg, Marina
author2_role author
author
author
dc.subject.none.fl_str_mv RESERVOIR CREATION
LAND USE AND LAND COVER CHANGE
GIS ANALYSIS
INGENIERÍAS Y TECNOLOGÍAS
topic RESERVOIR CREATION
LAND USE AND LAND COVER CHANGE
GIS ANALYSIS
INGENIERÍAS Y TECNOLOGÍAS
dc.description.none.fl_txt_mv The Yacyretá dam is one of the most important hydroelectric projects in La Plata Basin.As a consequence of the filling of the reservoir to its final height of 83 meters; approximately 1;076 km2 of terrestrial and riparian ecosystems were flooded in Argentina and Paraguay. In order to evaluate the ecosystems loss due to this impounding; we generated two maps of land use/land cover from Landsat satellite images: 1987 (prior to the dam) and 2011 (after the final height was reached). We applied a post classification method and tested the gain; loss; and net change of natural and anthropic ecosystems in the study area with a cross tabulation matrix. Water bodies were the land cover type that showed the greatest degree of change; increasing 14.8% between periods. This was in detriment of; primarily; wetlands by 7.5%; grasslands by 4.0%; and native forests by 2.8%. However; sandbanks presented the highest probability of transition to another land class and; thus; correspond to the most vulnerable land covering the study area. Also; we detected a differential ecosystem loss; both in type and magnitude; up and downstream of the dam. Our work is the first one to address ecosystem loss in the Yacyretá area and our results should help to improve management policies; such as the design of the current network of compensatory reserves.
Fil: Bauni, Valeria. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.
Fil: Schivo, Facundo. Instituto de Investigación e Ingeniería Ambiental, Universidad Nacional de San Martín; Buenos Aires, Argentina.
Fil: Capmourteres, Virginia. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.
Fil: Homberg, Marina. Universidad Maimónides. Fundación de Historia Natural Félix de Azara; Buenos Aires, Argentina.
description The Yacyretá dam is one of the most important hydroelectric projects in La Plata Basin.As a consequence of the filling of the reservoir to its final height of 83 meters; approximately 1;076 km2 of terrestrial and riparian ecosystems were flooded in Argentina and Paraguay. In order to evaluate the ecosystems loss due to this impounding; we generated two maps of land use/land cover from Landsat satellite images: 1987 (prior to the dam) and 2011 (after the final height was reached). We applied a post classification method and tested the gain; loss; and net change of natural and anthropic ecosystems in the study area with a cross tabulation matrix. Water bodies were the land cover type that showed the greatest degree of change; increasing 14.8% between periods. This was in detriment of; primarily; wetlands by 7.5%; grasslands by 4.0%; and native forests by 2.8%. However; sandbanks presented the highest probability of transition to another land class and; thus; correspond to the most vulnerable land covering the study area. Also; we detected a differential ecosystem loss; both in type and magnitude; up and downstream of the dam. Our work is the first one to address ecosystem loss in the Yacyretá area and our results should help to improve management policies; such as the design of the current network of compensatory reserves.
publishDate 2015
dc.date.none.fl_str_mv 2015-07
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
status_str publishedVersion
format article
dc.identifier.none.fl_str_mv Bauni, V.; Schivo, F.; Capmourteres, V. y Homberg, M. (2015) Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá, Argentina. En: Remote Sensing Applications: Society and Environment. Elsevier, 1, 50-60
2352-9385
RSASE 2015 1 50-60
https://ri.unsam.edu.ar/handle/123456789/1001
identifier_str_mv Bauni, V.; Schivo, F.; Capmourteres, V. y Homberg, M. (2015) Ecosystem loss assessment following hydroelectric dam flooding: The case of Yacyretá, Argentina. En: Remote Sensing Applications: Society and Environment. Elsevier, 1, 50-60
2352-9385
RSASE 2015 1 50-60
url https://ri.unsam.edu.ar/handle/123456789/1001
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
pp. 50-60
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Remote Sensing Applications: Society and Environment. 2015 1 50-60 Elsevier B.V.
https://www.sciencedirect.com/science/article/pii/S2352938515000063
reponame:Repositorio Institucional (UNSAM)
instname:Universidad Nacional de General San Martín
reponame_str Repositorio Institucional (UNSAM)
collection Repositorio Institucional (UNSAM)
instname_str Universidad Nacional de General San Martín
repository.name.fl_str_mv Repositorio Institucional (UNSAM) - Universidad Nacional de General San Martín
repository.mail.fl_str_mv lpastran@unsam.edu.ar
_version_ 1877231383824302080
score 12.733355

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