Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina
- Autores
- Tonello, Marcela Sandra; Prieto, Aldo Raul
- Año de publicación
- 2008
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- To analyse the relationships between potential natural vegetation, pollen and climate in order to improve the interpretation of fossil pollen records and provide the background for future quantitative palaeoclimatic reconstructions. Pampa grasslands of Argentina, between 33º41 S and 56º67 W. Modern pollen data were obtained from a pollen data base developed by the Grupo de Investigacio´n de Paleoecologı´a y Palinologı´a, Universidad Nacional de Mar del Plata, Argentina (143 surface samples and 17 pollen types). Analysis of pollen and climate data involved multivariate statistics (cluster analysis and principal components analysis), scatter diagrams, Pearson’s correlation and isopoll mapping. Vegetation patterns at regional scales (grasslands and xerophytic woodlands) and local scales (edaphic communities) were identified by cluster analysis of pollen surface samples. The main climatic variables that appear to constrain the vegetation distribution and abundance of taxa are mean annual precipitation, annual effective precipitation and summer temperature. Individual pollen types such as Chenopodiaceae, Apiaceae, Cyperaceae, Prosopis, Schinus, Condalia microphylla and other xerophytic taxa are good indicators of moisture regime. Many pollen types are significantly correlated with summer temperature. The modern vegetation–pollen–climate relationships vary in a broadly predictable manner, supporting the contention that fossil pollen assemblages can be related to particular climatic characteristics. An expanded suite of modern analogues facilitated new insights into vegetation–pollen–climate relationships at the regional scale in Pampa grasslands. Relationships between individual pollen types and climate are appraised at a regional scale and new modern analogues are presented. The results provide the basis for improved vegetation and climate reconstruction from fossil records of the study area.
Fil: Tonello, Marcela Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Prieto, Aldo Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina - Materia
-
ARGENTINA
CLIMATE
ISOPOLL MAPS
MODERN ANALOGUE
MULTIVARIATE ANALYSIS
PALAEOECOLOGY
PAMPA GRASSLANDS
POLLEN ANALYSIS
VEGETATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/131668
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
spelling |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of ArgentinaTonello, Marcela SandraPrieto, Aldo RaulARGENTINACLIMATEISOPOLL MAPSMODERN ANALOGUEMULTIVARIATE ANALYSISPALAEOECOLOGYPAMPA GRASSLANDSPOLLEN ANALYSISVEGETATIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1To analyse the relationships between potential natural vegetation, pollen and climate in order to improve the interpretation of fossil pollen records and provide the background for future quantitative palaeoclimatic reconstructions. Pampa grasslands of Argentina, between 33º41 S and 56º67 W. Modern pollen data were obtained from a pollen data base developed by the Grupo de Investigacio´n de Paleoecologı´a y Palinologı´a, Universidad Nacional de Mar del Plata, Argentina (143 surface samples and 17 pollen types). Analysis of pollen and climate data involved multivariate statistics (cluster analysis and principal components analysis), scatter diagrams, Pearson’s correlation and isopoll mapping. Vegetation patterns at regional scales (grasslands and xerophytic woodlands) and local scales (edaphic communities) were identified by cluster analysis of pollen surface samples. The main climatic variables that appear to constrain the vegetation distribution and abundance of taxa are mean annual precipitation, annual effective precipitation and summer temperature. Individual pollen types such as Chenopodiaceae, Apiaceae, Cyperaceae, Prosopis, Schinus, Condalia microphylla and other xerophytic taxa are good indicators of moisture regime. Many pollen types are significantly correlated with summer temperature. The modern vegetation–pollen–climate relationships vary in a broadly predictable manner, supporting the contention that fossil pollen assemblages can be related to particular climatic characteristics. An expanded suite of modern analogues facilitated new insights into vegetation–pollen–climate relationships at the regional scale in Pampa grasslands. Relationships between individual pollen types and climate are appraised at a regional scale and new modern analogues are presented. The results provide the basis for improved vegetation and climate reconstruction from fossil records of the study area.Fil: Tonello, Marcela Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Prieto, Aldo Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaWiley Blackwell Publishing, Inc2008-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/131668Tonello, Marcela Sandra; Prieto, Aldo Raul; Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 35; 5; 5-2008; 926-9380305-0270CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2699.2007.01854.x/abstractinfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-2699.2007.01854.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:04Zoai:ri.conicet.gov.ar:11336/131668instacron: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 09:35:05.016CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina |
title |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina |
spellingShingle |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina Tonello, Marcela Sandra ARGENTINA CLIMATE ISOPOLL MAPS MODERN ANALOGUE MULTIVARIATE ANALYSIS PALAEOECOLOGY PAMPA GRASSLANDS POLLEN ANALYSIS VEGETATION |
title_short |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina |
title_full |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina |
title_fullStr |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina |
title_full_unstemmed |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina |
title_sort |
Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina |
dc.creator.none.fl_str_mv |
Tonello, Marcela Sandra Prieto, Aldo Raul |
author |
Tonello, Marcela Sandra |
author_facet |
Tonello, Marcela Sandra Prieto, Aldo Raul |
author_role |
author |
author2 |
Prieto, Aldo Raul |
author2_role |
author |
dc.subject.none.fl_str_mv |
ARGENTINA CLIMATE ISOPOLL MAPS MODERN ANALOGUE MULTIVARIATE ANALYSIS PALAEOECOLOGY PAMPA GRASSLANDS POLLEN ANALYSIS VEGETATION |
topic |
ARGENTINA CLIMATE ISOPOLL MAPS MODERN ANALOGUE MULTIVARIATE ANALYSIS PALAEOECOLOGY PAMPA GRASSLANDS POLLEN ANALYSIS VEGETATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
To analyse the relationships between potential natural vegetation, pollen and climate in order to improve the interpretation of fossil pollen records and provide the background for future quantitative palaeoclimatic reconstructions. Pampa grasslands of Argentina, between 33º41 S and 56º67 W. Modern pollen data were obtained from a pollen data base developed by the Grupo de Investigacio´n de Paleoecologı´a y Palinologı´a, Universidad Nacional de Mar del Plata, Argentina (143 surface samples and 17 pollen types). Analysis of pollen and climate data involved multivariate statistics (cluster analysis and principal components analysis), scatter diagrams, Pearson’s correlation and isopoll mapping. Vegetation patterns at regional scales (grasslands and xerophytic woodlands) and local scales (edaphic communities) were identified by cluster analysis of pollen surface samples. The main climatic variables that appear to constrain the vegetation distribution and abundance of taxa are mean annual precipitation, annual effective precipitation and summer temperature. Individual pollen types such as Chenopodiaceae, Apiaceae, Cyperaceae, Prosopis, Schinus, Condalia microphylla and other xerophytic taxa are good indicators of moisture regime. Many pollen types are significantly correlated with summer temperature. The modern vegetation–pollen–climate relationships vary in a broadly predictable manner, supporting the contention that fossil pollen assemblages can be related to particular climatic characteristics. An expanded suite of modern analogues facilitated new insights into vegetation–pollen–climate relationships at the regional scale in Pampa grasslands. Relationships between individual pollen types and climate are appraised at a regional scale and new modern analogues are presented. The results provide the basis for improved vegetation and climate reconstruction from fossil records of the study area. Fil: Tonello, Marcela Sandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina Fil: Prieto, Aldo Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina |
description |
To analyse the relationships between potential natural vegetation, pollen and climate in order to improve the interpretation of fossil pollen records and provide the background for future quantitative palaeoclimatic reconstructions. Pampa grasslands of Argentina, between 33º41 S and 56º67 W. Modern pollen data were obtained from a pollen data base developed by the Grupo de Investigacio´n de Paleoecologı´a y Palinologı´a, Universidad Nacional de Mar del Plata, Argentina (143 surface samples and 17 pollen types). Analysis of pollen and climate data involved multivariate statistics (cluster analysis and principal components analysis), scatter diagrams, Pearson’s correlation and isopoll mapping. Vegetation patterns at regional scales (grasslands and xerophytic woodlands) and local scales (edaphic communities) were identified by cluster analysis of pollen surface samples. The main climatic variables that appear to constrain the vegetation distribution and abundance of taxa are mean annual precipitation, annual effective precipitation and summer temperature. Individual pollen types such as Chenopodiaceae, Apiaceae, Cyperaceae, Prosopis, Schinus, Condalia microphylla and other xerophytic taxa are good indicators of moisture regime. Many pollen types are significantly correlated with summer temperature. The modern vegetation–pollen–climate relationships vary in a broadly predictable manner, supporting the contention that fossil pollen assemblages can be related to particular climatic characteristics. An expanded suite of modern analogues facilitated new insights into vegetation–pollen–climate relationships at the regional scale in Pampa grasslands. Relationships between individual pollen types and climate are appraised at a regional scale and new modern analogues are presented. The results provide the basis for improved vegetation and climate reconstruction from fossil records of the study area. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-05 |
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/11336/131668 Tonello, Marcela Sandra; Prieto, Aldo Raul; Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 35; 5; 5-2008; 926-938 0305-0270 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/131668 |
identifier_str_mv |
Tonello, Marcela Sandra; Prieto, Aldo Raul; Modern vegetation-pollen-climate relationships for the Pampa grasslands of Argentina; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 35; 5; 5-2008; 926-938 0305-0270 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2699.2007.01854.x/abstract info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1365-2699.2007.01854.x |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
publisher.none.fl_str_mv |
Wiley Blackwell Publishing, Inc |
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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1844613089913208832 |
score |
13.070432 |