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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/88709
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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 |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://doi.wiley.com/10.1002/joc.5547 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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1844613599375392768 |
score |
13.070432 |