Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil)
Damien Arvor
(1)
,
Vincent Dubreuil
(2, 3, 4)
,
Josyane Ronchail
(5, 6)
,
Margareth Simões Penello Meirelles
(7)
,
Beatriz M. Funatsu
(8, 2)
1
UMR 228 Espace-Dev, Espace pour le développement
2 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
3 UR2 UFRSS - Université de Rennes 2 - UFR Sciences sociales
4 CAREN - Centre Armoricain de Recherche en Environnement
5 PARVATI - Processus de la variabilité climatique tropicale et impacts
6 UPD7 - Université Paris Diderot - Paris 7
7 Departamento de Engenharia de Sistemas e Computação - Departamento de Engenharia de Sistemas e Computação – Pos Graduação em Geomatica
8 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)
2 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
3 UR2 UFRSS - Université de Rennes 2 - UFR Sciences sociales
4 CAREN - Centre Armoricain de Recherche en Environnement
5 PARVATI - Processus de la variabilité climatique tropicale et impacts
6 UPD7 - Université Paris Diderot - Paris 7
7 Departamento de Engenharia de Sistemas e Computação - Departamento de Engenharia de Sistemas e Computação – Pos Graduação em Geomatica
8 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)
Damien Arvor
- Fonction : Auteur
- PersonId : 8937
- IdHAL : damien-arvor
- ORCID : 0000-0002-3017-9625
- IdRef : 136950191
Vincent Dubreuil
- Fonction : Auteur
- PersonId : 4905
- IdHAL : vincent-dubreuil
- ORCID : 0000-0001-8383-805X
- IdRef : 057532974
Margareth Simões Penello Meirelles
- Fonction : Auteur
- PersonId : 846832
Beatriz M. Funatsu
- Fonction : Auteur
- PersonId : 5635
- IdHAL : beatriz-m-funatsu
- ORCID : 0000-0003-0448-1924
- IdRef : 223449210
Résumé
Assessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25◦ spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon.
Domaines
GéographieFormat du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
Assessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25◦ spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon.
|
Titre |
en
Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil)
|
Auteur(s) |
Damien Arvor
1
, Vincent Dubreuil
2, 3, 4
, Josyane Ronchail
5, 6
, Margareth Simões Penello Meirelles
7
, Beatriz M. Funatsu
8, 2
1
UMR 228 Espace-Dev, Espace pour le développement
( 196623 )
- IRD - Maison de la Télédétection - 500 rue Jean-François Breton - 34093 Montpellier
- France
2
LETG - Rennes -
Littoral, Environnement, Télédétection, Géomatique
( 3177 )
- Maison de la Recherche Place du Recteur Henri Le Moal 35043 RENNES CEDEX
- France
3
UR2 UFRSS -
Université de Rennes 2 - UFR Sciences sociales
( 107256 )
- Campus Villejean - Place du recteur Henri Le Moal - CS 24307 - 35043 Rennes cedex
- France
4
CAREN -
Centre Armoricain de Recherche en Environnement
( 1912 )
- Bât. 14B Campus de Beaulieu 35042 RENNES CEDEX
- France
5
PARVATI -
Processus de la variabilité climatique tropicale et impacts
( 395582 )
- France
6
UPD7 -
Université Paris Diderot - Paris 7
( 300301 )
- 5 rue Thomas-Mann - 75205 Paris cedex 13
- France
7
Departamento de Engenharia de Sistemas e Computação -
Departamento de Engenharia de Sistemas e Computação – Pos Graduação em Geomatica
( 54360 )
- Rio de Janeiro
- Brésil
8
LMD -
Laboratoire de Météorologie Dynamique (UMR 8539)
( 143 )
- LMD ENS 24 Rue Lhomond 75231 Paris Cedex 05
- France
|
Audience |
Non spécifiée
|
Date de publication |
2014-06-30
|
Comité de lecture |
Oui
|
Vulgarisation |
Non
|
Nom de la revue |
|
Langue du document |
Anglais
|
Date de publication électronique |
2013-11-25
|
Volume |
34
|
Numéro |
8
|
Page/Identifiant |
2622-2633
|
URL éditeur |
http://onlinelibrary.wiley.com/doi/10.1002/joc.3863/abstract
|
Domaine(s) |
|
Financement |
|
Projet(s) ANR |
|
Mots-clés |
ro
spatiotemporal variability, agricultural practices, Amazonia, rainy season, TRMM 3B42
|
DOI | 10.1002/joc.3863 |
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