Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil)

Damien Arvor; Vincent Dubreuil; Josyane Ronchail; Margareth Simões Penello Meirelles; Beatriz M. Funatsu

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 Margareth Simões Penello Meirelles ⁶ Beatriz M. Funatsu ^{7, 2}

1 UMR 228 Espace-Dev, Espace pour le développement

2 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique

LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554

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

LOCEAN - Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques

6 Departamento de Engenharia de Sistemas e Computação - Departamento de Engenharia de Sistemas e Computação – Pos Graduação em Geomatica

7 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)

Abstract : 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.

keyword : spatiotemporal variability agricultural practices Amazonia rainy season TRMM 3B42

Type de document :

Article dans une revue

Domaine :

Sciences de l'Homme et Société / Géographie

Liste complète des métadonnées

https://halshs.archives-ouvertes.fr/halshs-00910825
Contributeur : Vincent Dubreuil <>
Soumis le : jeudi 28 novembre 2013 - 11:54:32
Dernière modification le : vendredi 29 novembre 2019 - 02:03:17

Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil)

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Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil)

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