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<publisher>HAL CCSD</publisher>
<title lang=en>Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil)</title>
<creator>Arvor, Damien</creator>
<creator>Dubreuil, Vincent</creator>
<creator>Ronchail, Josyane</creator>
<creator>Meirelles, Margareth Simões Penello</creator>
<creator>Funatsu, B. M.</creator>
<contributor>Espace pour le Développement (ESPACE-DEV) ; Université Montpellier 2 - Sciences et Techniques (UM2) - Université des Antilles et de la Guyane (UAG) - Institut de recherche pour le développement [IRD] - Université de la Réunion</contributor>
<contributor>Littoral, Environnement, Télédétection, Géomatique (LETG - Costel) ; Université de Nantes (UN) - Université de Caen Basse-Normandie - Université de Bretagne Occidentale (UBO) - Université de Rennes II - Haute Bretagne - CNRS</contributor>
<contributor>Université Rennes 2 - UFR Sciences sociales (UR2 UFRSS) ; Université européenne de Bretagne (UEB) - Université de Rennes II - Haute Bretagne</contributor>
<contributor>Centre Armoricain de Recherche en Environnement (CARE) ; CNRS - Institut national de la recherche agronomique (INRA) - Ecole Nationale Supérieure Agronomique de Rennes - Université de Rennes 1 (UR1) - Université de Rennes II - Haute Bretagne</contributor>
<contributor>Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) ; CNRS - Université Pierre et Marie Curie - Paris 6 (UPMC) - Muséum national d'histoire naturelle (MNHN) - Institut de recherche pour le développement [IRD] - INSU</contributor>
<contributor>Departamento de Engenharia de Sistemas e Computação – Pos Graduação em Geomatica (Departamento de Engenharia de Sistemas e Computação) ; Universidade do Estado do Rio de Janeiro</contributor>
<contributor>Laboratoire de Météorologie Dynamique (LMD) ; CNRS - INSU - Polytechnique - X - École normale supérieure - Paris (ENS Paris) - Université Pierre et Marie Curie - Paris 6 (UPMC)</contributor>
<source>International Journal of Climatology</source>
<publisher>Royal Meteorological Society</publisher>
<identifier>halshs-00910825</identifier>
<identifier>https://halshs.archives-ouvertes.fr/halshs-00910825</identifier>
<source>https://halshs.archives-ouvertes.fr/halshs-00910825</source>
<source>International Journal of Climatology, Royal Meteorological Society, 2013, pp.1-12. <10.1002/joc.3863></source>
<identifier>DOI : 10.1002/joc.3863</identifier>
<language>en</language>
<subject lang=ro>TRMM 3B42</subject>
<subject lang=ro>rainy season</subject>
<subject lang=ro>Amazonia</subject>
<subject lang=ro>agricultural practices</subject>
<subject lang=ro>spatiotemporal variability</subject>
<subject>[SHS.GEO] Humanities and Social Sciences/Geography</subject>
<subject>[SDE] Environmental Sciences</subject>
<type>Journal articles</type>
<description lang=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.</description>
<date>2013-11-25</date>
<contributor>ANR-06-BLAN-0176, DURAMAZ, Les déterminants géographiques, démographiques et socio-économiques de la durabilité en Amazonie brésilienne.(2006)</contributor>
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