Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina

Autores
Celleri, Carla; Zapperi, Georgina María; Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Transition zones between dry and humid climates are highly sensitive areas where small changes in the spatial and temporal distribution of rainfall may have vast consequences on vegetation development. Rainfall regimes are expected to change worldwide and predictions include variations in total annual precipitation and timing of rain events. In this context, evaluating the relationship between vegetation activity and rainfall variability along transition zones is particularly relevant. In this study, 54 years (1961–2013) of gridded monthly rainfall data (Climatic Research Unit Time-Series Version 3.22 [CRU TS3.22]) were used to analyse annual and inter-annual rainfall variability. Land surface phenology (LSP) metrics (2000–2013) were derived from MODIS 16-day composites Normalized Difference Vegetation Index (NDVI) data (MOD13Q1 product) and relationship between rainfall variability and LSP metrics was assessed. Annual rainfall showed a strong seasonality in the northeast of the study area that diminishes towards the southwest. Inter-annual rainfall variability, which showed a significant 8-year cycle periodicity after 1980, was stronger in the southwest of the region. For most of the study area, summer rainfall (November–January) showed significant negative correlation with August–October Southern Oscillation Index (SOI) average, although this connection was not reflected in annual precipitation totals. Regarding vegetation response to rainfall variability, two main areas were identified where differences in LSP metrics between wet and dry years were larger than the average. The first one was a zone within the humid to semi-arid transition belt, where NDVI maximum, NDVI amplitude and NDVI integral showed higher values during wet years. The second one was the central north area, which showed higher NDVI amplitude values during dry years. In the study area, water availability is a sensitive issue for natural ecosystems, agriculture and cattle-raising. These results provide a better understanding of the relationship between rainfall variability and vegetation changes, which is useful information for the development of future management policies.
Fil: Celleri, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
Fil: Zapperi, Georgina María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
Materia
CLIMATIC TRANSITION
ENSO
LAND SURFACE PHENOLOGY METRICS
NDVI
RAINFALL VARIABILITY
VEGETATION RESPONSE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/88709

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network_name_str CONICET Digital (CONICET)
spelling Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east ArgentinaCelleri, CarlaZapperi, Georgina MaríaGonzalez Trilla, Gabriela LilianaPratolongo, Paula DanielaCLIMATIC TRANSITIONENSOLAND SURFACE PHENOLOGY METRICSNDVIRAINFALL VARIABILITYVEGETATION RESPONSEhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Transition zones between dry and humid climates are highly sensitive areas where small changes in the spatial and temporal distribution of rainfall may have vast consequences on vegetation development. Rainfall regimes are expected to change worldwide and predictions include variations in total annual precipitation and timing of rain events. In this context, evaluating the relationship between vegetation activity and rainfall variability along transition zones is particularly relevant. In this study, 54 years (1961–2013) of gridded monthly rainfall data (Climatic Research Unit Time-Series Version 3.22 [CRU TS3.22]) were used to analyse annual and inter-annual rainfall variability. Land surface phenology (LSP) metrics (2000–2013) were derived from MODIS 16-day composites Normalized Difference Vegetation Index (NDVI) data (MOD13Q1 product) and relationship between rainfall variability and LSP metrics was assessed. Annual rainfall showed a strong seasonality in the northeast of the study area that diminishes towards the southwest. Inter-annual rainfall variability, which showed a significant 8-year cycle periodicity after 1980, was stronger in the southwest of the region. For most of the study area, summer rainfall (November–January) showed significant negative correlation with August–October Southern Oscillation Index (SOI) average, although this connection was not reflected in annual precipitation totals. Regarding vegetation response to rainfall variability, two main areas were identified where differences in LSP metrics between wet and dry years were larger than the average. The first one was a zone within the humid to semi-arid transition belt, where NDVI maximum, NDVI amplitude and NDVI integral showed higher values during wet years. The second one was the central north area, which showed higher NDVI amplitude values during dry years. In the study area, water availability is a sensitive issue for natural ecosystems, agriculture and cattle-raising. These results provide a better understanding of the relationship between rainfall variability and vegetation changes, which is useful information for the development of future management policies.Fil: Celleri, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; ArgentinaFil: Zapperi, Georgina María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; ArgentinaFil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; ArgentinaJohn Wiley & Sons Ltd2018-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88709Celleri, Carla; Zapperi, Georgina María; Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina; John Wiley & Sons Ltd; International Journal of Climatology; 38; 10; 19-4-2018; 3963-39750899-8418CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://doi.wiley.com/10.1002/joc.5547info:eu-repo/semantics/altIdentifier/doi/10.1002/joc.5547info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:52:06Zoai:ri.conicet.gov.ar:11336/88709instacron: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 09:52:06.375CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
title Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
spellingShingle Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
Celleri, Carla
CLIMATIC TRANSITION
ENSO
LAND SURFACE PHENOLOGY METRICS
NDVI
RAINFALL VARIABILITY
VEGETATION RESPONSE
title_short Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
title_full Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
title_fullStr Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
title_full_unstemmed Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
title_sort Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina
dc.creator.none.fl_str_mv Celleri, Carla
Zapperi, Georgina María
Gonzalez Trilla, Gabriela Liliana
Pratolongo, Paula Daniela
author Celleri, Carla
author_facet Celleri, Carla
Zapperi, Georgina María
Gonzalez Trilla, Gabriela Liliana
Pratolongo, Paula Daniela
author_role author
author2 Zapperi, Georgina María
Gonzalez Trilla, Gabriela Liliana
Pratolongo, Paula Daniela
author2_role author
author
author
dc.subject.none.fl_str_mv CLIMATIC TRANSITION
ENSO
LAND SURFACE PHENOLOGY METRICS
NDVI
RAINFALL VARIABILITY
VEGETATION RESPONSE
topic CLIMATIC TRANSITION
ENSO
LAND SURFACE PHENOLOGY METRICS
NDVI
RAINFALL VARIABILITY
VEGETATION RESPONSE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Transition zones between dry and humid climates are highly sensitive areas where small changes in the spatial and temporal distribution of rainfall may have vast consequences on vegetation development. Rainfall regimes are expected to change worldwide and predictions include variations in total annual precipitation and timing of rain events. In this context, evaluating the relationship between vegetation activity and rainfall variability along transition zones is particularly relevant. In this study, 54 years (1961–2013) of gridded monthly rainfall data (Climatic Research Unit Time-Series Version 3.22 [CRU TS3.22]) were used to analyse annual and inter-annual rainfall variability. Land surface phenology (LSP) metrics (2000–2013) were derived from MODIS 16-day composites Normalized Difference Vegetation Index (NDVI) data (MOD13Q1 product) and relationship between rainfall variability and LSP metrics was assessed. Annual rainfall showed a strong seasonality in the northeast of the study area that diminishes towards the southwest. Inter-annual rainfall variability, which showed a significant 8-year cycle periodicity after 1980, was stronger in the southwest of the region. For most of the study area, summer rainfall (November–January) showed significant negative correlation with August–October Southern Oscillation Index (SOI) average, although this connection was not reflected in annual precipitation totals. Regarding vegetation response to rainfall variability, two main areas were identified where differences in LSP metrics between wet and dry years were larger than the average. The first one was a zone within the humid to semi-arid transition belt, where NDVI maximum, NDVI amplitude and NDVI integral showed higher values during wet years. The second one was the central north area, which showed higher NDVI amplitude values during dry years. In the study area, water availability is a sensitive issue for natural ecosystems, agriculture and cattle-raising. These results provide a better understanding of the relationship between rainfall variability and vegetation changes, which is useful information for the development of future management policies.
Fil: Celleri, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
Fil: Zapperi, Georgina María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia; Argentina
description Transition zones between dry and humid climates are highly sensitive areas where small changes in the spatial and temporal distribution of rainfall may have vast consequences on vegetation development. Rainfall regimes are expected to change worldwide and predictions include variations in total annual precipitation and timing of rain events. In this context, evaluating the relationship between vegetation activity and rainfall variability along transition zones is particularly relevant. In this study, 54 years (1961–2013) of gridded monthly rainfall data (Climatic Research Unit Time-Series Version 3.22 [CRU TS3.22]) were used to analyse annual and inter-annual rainfall variability. Land surface phenology (LSP) metrics (2000–2013) were derived from MODIS 16-day composites Normalized Difference Vegetation Index (NDVI) data (MOD13Q1 product) and relationship between rainfall variability and LSP metrics was assessed. Annual rainfall showed a strong seasonality in the northeast of the study area that diminishes towards the southwest. Inter-annual rainfall variability, which showed a significant 8-year cycle periodicity after 1980, was stronger in the southwest of the region. For most of the study area, summer rainfall (November–January) showed significant negative correlation with August–October Southern Oscillation Index (SOI) average, although this connection was not reflected in annual precipitation totals. Regarding vegetation response to rainfall variability, two main areas were identified where differences in LSP metrics between wet and dry years were larger than the average. The first one was a zone within the humid to semi-arid transition belt, where NDVI maximum, NDVI amplitude and NDVI integral showed higher values during wet years. The second one was the central north area, which showed higher NDVI amplitude values during dry years. In the study area, water availability is a sensitive issue for natural ecosystems, agriculture and cattle-raising. These results provide a better understanding of the relationship between rainfall variability and vegetation changes, which is useful information for the development of future management policies.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-19
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/11336/88709
Celleri, Carla; Zapperi, Georgina María; Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina; John Wiley & Sons Ltd; International Journal of Climatology; 38; 10; 19-4-2018; 3963-3975
0899-8418
CONICET Digital
CONICET
url http://hdl.handle.net/11336/88709
identifier_str_mv Celleri, Carla; Zapperi, Georgina María; Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Spatial and temporal patterns of rainfall variability and its relationship with land surface phenology in central east Argentina; John Wiley & Sons Ltd; International Journal of Climatology; 38; 10; 19-4-2018; 3963-3975
0899-8418
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/doi/10.1002/joc.5547
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
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons Ltd
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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