Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics
Climate–environment variability affects the rates of incidence of vector-borne and zoonotic diseases and is possibly associated with epidemics outbreaks. Over southernmost South America the joint spatio-temporal evolution of climate–environment is analyzed for the 1982–2004 period. Detailed mapping...
Published in: | Environmental Research Letters |
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Main Authors: | , , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2008
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Subjects: | |
Online Access: | https://ird.hal.science/ird-00392420 https://ird.hal.science/ird-00392420/document https://ird.hal.science/ird-00392420/file/Tourre_ERL_2008_new.pdf https://doi.org/10.1088/1748-9326/3/4/044008 |
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ftmeteofrance:oai:HAL:ird-00392420v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Météo-France: HAL |
op_collection_id |
ftmeteofrance |
language |
English |
topic |
climate and environment NDVI epidemics southernmost South America [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems |
spellingShingle |
climate and environment NDVI epidemics southernmost South America [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems Tourre, Y. M. Jarlan, Lionel Lacaux, J.P. Rotela, C.H. Lafaye, M. Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics |
topic_facet |
climate and environment NDVI epidemics southernmost South America [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems |
description |
Climate–environment variability affects the rates of incidence of vector-borne and zoonotic diseases and is possibly associated with epidemics outbreaks. Over southernmost South America the joint spatio-temporal evolution of climate–environment is analyzed for the 1982–2004 period. Detailed mapping of normalized difference vegetation index (NDVI) and rainfall variability are then compared to zones with preliminary epidemiological reports. A significant quasi-biennial signal (2.2- to 2.4-year periods, or QB) for joint NDVI–rainfall variability is revealed. From rotated EOFs, dominant NDVI patterns are partitioned according to their lead frequencies: (1) the ‘QB group' (2.1-to 3-year periods) includes six modes over southern Brazil, Uruguay, northern-central Argentina (two modes), the southern Paraguay–northern Argentina border, and the Santa Cruz Province; (2) the QB1 (2.4- to 3-year periods) + quasi-quadrennial (QQ) mode over the Misiones Province; and (3) the QB2 (2.1- to 2.5-year periods) + QQ + inter-annual (IA) (3- to 7-year periods) two modes over south-eastern Argentina. Modes within the ‘QB group' are positively correlated with global climate signals and SST. The Uruguayan mode is correlated with global ENSO (8-month lag) whilst the southern Entre-Rios/northern Buenos Aires provinces are correlated with central equatorial Pacific SSTs (3-month lag). The Santa Cruz (Patagonia) Province is most correlated with the Pacific South America (PSA) index and SST patterns (3-month lag) along the Antarctica circumpolar current. The spatial distribution of lead NDVI modes includes the Formosa, Misiones, Chaco and Buenos Aires provinces among others, known for being prone to vector-borne epidemics such as dengue fever, malaria, leishmaniasis (American cutaneous leishmaniasis or ACL), hantivirus, chagas and Argentine hemorrhagic fever (AHF). Some provinces also correspond to regions where lead NDVI PCs' modes are associated with high-frequency climate signals such as the quasi-biennial oscillation in northwest ... |
author2 |
Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Laboratoire d'aérologie (LAERO) Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Instituto de Altos Estudios Espaciales 'Mario Gulich' Universidad Nacional de Córdoba Argentina -Comisión Nacional de Actividades Espaciales - Argentinian Space Agency (CONAE) Centre National d'Études Spatiales Toulouse (CNES) |
format |
Article in Journal/Newspaper |
author |
Tourre, Y. M. Jarlan, Lionel Lacaux, J.P. Rotela, C.H. Lafaye, M. |
author_facet |
Tourre, Y. M. Jarlan, Lionel Lacaux, J.P. Rotela, C.H. Lafaye, M. |
author_sort |
Tourre, Y. M. |
title |
Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics |
title_short |
Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics |
title_full |
Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics |
title_fullStr |
Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics |
title_full_unstemmed |
Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics |
title_sort |
spatio-temporal variability of ndvi–precipitation over southernmost south america: possible linkages between climate signals and epidemics |
publisher |
HAL CCSD |
publishDate |
2008 |
url |
https://ird.hal.science/ird-00392420 https://ird.hal.science/ird-00392420/document https://ird.hal.science/ird-00392420/file/Tourre_ERL_2008_new.pdf https://doi.org/10.1088/1748-9326/3/4/044008 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
ISSN: 1748-9326 Environmental Research Letters https://ird.hal.science/ird-00392420 Environmental Research Letters, 2008, 3 (044008), 9pp. ⟨10.1088/1748-9326/3/4/044008⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1088/1748-9326/3/4/044008 ird-00392420 https://ird.hal.science/ird-00392420 https://ird.hal.science/ird-00392420/document https://ird.hal.science/ird-00392420/file/Tourre_ERL_2008_new.pdf doi:10.1088/1748-9326/3/4/044008 IRD: fdi:010046059 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1088/1748-9326/3/4/044008 |
container_title |
Environmental Research Letters |
container_volume |
3 |
container_issue |
4 |
container_start_page |
044008 |
_version_ |
1797584972426510336 |
spelling |
ftmeteofrance:oai:HAL:ird-00392420v1 2024-04-28T07:56:48+00:00 Spatio-temporal variability of NDVI–precipitation over southernmost South America: possible linkages between climate signals and epidemics Tourre, Y. M. Jarlan, Lionel Lacaux, J.P. Rotela, C.H. Lafaye, M. Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Laboratoire d'aérologie (LAERO) Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Instituto de Altos Estudios Espaciales 'Mario Gulich' Universidad Nacional de Córdoba Argentina -Comisión Nacional de Actividades Espaciales - Argentinian Space Agency (CONAE) Centre National d'Études Spatiales Toulouse (CNES) 2008 https://ird.hal.science/ird-00392420 https://ird.hal.science/ird-00392420/document https://ird.hal.science/ird-00392420/file/Tourre_ERL_2008_new.pdf https://doi.org/10.1088/1748-9326/3/4/044008 en eng HAL CCSD IOP Publishing info:eu-repo/semantics/altIdentifier/doi/10.1088/1748-9326/3/4/044008 ird-00392420 https://ird.hal.science/ird-00392420 https://ird.hal.science/ird-00392420/document https://ird.hal.science/ird-00392420/file/Tourre_ERL_2008_new.pdf doi:10.1088/1748-9326/3/4/044008 IRD: fdi:010046059 info:eu-repo/semantics/OpenAccess ISSN: 1748-9326 Environmental Research Letters https://ird.hal.science/ird-00392420 Environmental Research Letters, 2008, 3 (044008), 9pp. ⟨10.1088/1748-9326/3/4/044008⟩ climate and environment NDVI epidemics southernmost South America [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems info:eu-repo/semantics/article Journal articles 2008 ftmeteofrance https://doi.org/10.1088/1748-9326/3/4/044008 2024-04-04T17:10:18Z Climate–environment variability affects the rates of incidence of vector-borne and zoonotic diseases and is possibly associated with epidemics outbreaks. Over southernmost South America the joint spatio-temporal evolution of climate–environment is analyzed for the 1982–2004 period. Detailed mapping of normalized difference vegetation index (NDVI) and rainfall variability are then compared to zones with preliminary epidemiological reports. A significant quasi-biennial signal (2.2- to 2.4-year periods, or QB) for joint NDVI–rainfall variability is revealed. From rotated EOFs, dominant NDVI patterns are partitioned according to their lead frequencies: (1) the ‘QB group' (2.1-to 3-year periods) includes six modes over southern Brazil, Uruguay, northern-central Argentina (two modes), the southern Paraguay–northern Argentina border, and the Santa Cruz Province; (2) the QB1 (2.4- to 3-year periods) + quasi-quadrennial (QQ) mode over the Misiones Province; and (3) the QB2 (2.1- to 2.5-year periods) + QQ + inter-annual (IA) (3- to 7-year periods) two modes over south-eastern Argentina. Modes within the ‘QB group' are positively correlated with global climate signals and SST. The Uruguayan mode is correlated with global ENSO (8-month lag) whilst the southern Entre-Rios/northern Buenos Aires provinces are correlated with central equatorial Pacific SSTs (3-month lag). The Santa Cruz (Patagonia) Province is most correlated with the Pacific South America (PSA) index and SST patterns (3-month lag) along the Antarctica circumpolar current. The spatial distribution of lead NDVI modes includes the Formosa, Misiones, Chaco and Buenos Aires provinces among others, known for being prone to vector-borne epidemics such as dengue fever, malaria, leishmaniasis (American cutaneous leishmaniasis or ACL), hantivirus, chagas and Argentine hemorrhagic fever (AHF). Some provinces also correspond to regions where lead NDVI PCs' modes are associated with high-frequency climate signals such as the quasi-biennial oscillation in northwest ... Article in Journal/Newspaper Antarc* Antarctica Météo-France: HAL Environmental Research Letters 3 4 044008 |