Éditeur(s) : HAL CCSD Royal Meteorological Society
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.
International Journal of Climatology

halshs-00910825
https://halshs.archives-ouvertes.fr/halshs-00910825
DOI : 10.1002/joc.3863

Éditeur(s) : HAL CCSD Pôle de Recherche pour l'Organisation et la diffusion de l'Information Géographique
Résumé : International audience
The Amazon has recently experienced a dramatic decline in deforestation coupled with economic development. However, this process is uneven. While large and medium-sized producers are intensifying and diversifying their production systems in the already cleared areas, thus apparently abandoning expansion strategies at the moment, family farming remains aloof from this decoupling between production and deforestation. In this article, the commitments of public authorities and sectors, their effects on deforestation and inequalities of adaptation are analyzed at the scale of the Legal Amazon and in a municipality considered as a model because involved in a Município Verde initiative: Paragominas, in the Eastern Amazon.
L’Amazonie a amorcé depuis quelques années une baisse de la déforestation couplée à un développement économique. Le processus est cependant inégal. Si les grands et moyens producteurs font évoluer leurs systèmes de production vers l’intensification et la diversification dans les espaces déjà ouverts, délaissant en apparence les stratégies d’expansion, l’agriculture familiale reste à l’écart du découplage entre production et déforestation. Dans cet article, les engagements des pouvoirs publics et des filières, leurs effets en matière de déforestation et les inégalités d’adaptation sont analysés à l’échelle de l’Amazonie Légale et à celle d’une municipalité considérée comme un modèle car à l’initiative d’une démarche de Município Verde : Paragominas, en Amazonie orientale.
ISSN: 1963-1197

halshs-01609039
https://halshs.archives-ouvertes.fr/halshs-01609039
DOI : 10.4000/echogeo.15035

Éditeur(s) : HAL CCSD Association Internationale de Climatologie
Résumé : 6 pages
International audience
This work presents an overview of spatio-temporal quality andspatial density of rainfall networks of Cameroon, Gabon, Congo, CAP and DRC, particularly in the recentperiod (1973-2014) through the GSOD international database. Faced with enormous gaps observed, theseresults will help to select metrological and analytical orientations in FORGREENE project (Tropical forestsgreeness and cloudiness in Central Africa: present conditions and future evolution). A comparison with rainfallsatellite estimates (RFE type) also indicates their great potential, provided they are based on in situ validations.
Ce travail fait un état des lieux de la qualité temporelle et de la densité spatiale des sériespluviométriques du Cameroun, Gabon, Congo, RCA et RDC, en particulier sur la période récente (1973-2014)grâce à la base de données internationale GSOD. Face aux énormes lacunes observées, ces résultats vontpermettre d’orienter les choix métrologiques et analytiques in situ du programme FORGREENE (Tropicalforests greeness and cloudiness in Central Africa: present conditions and future evolution). Une comparaisonavec des estimations satellitaires (de type RFE) indique aussi leur potentiel intéressant, à condition qu’elless’appuient sur des validations in situ.
Climat et pollution de l'air
Besançon, France

hal-01360178
https://hal.archives-ouvertes.fr/hal-01360178

Éditeur(s) : HAL CCSD Elsevier Masson
Résumé : 14 pages
International audience
Central Africa hosts the world's second largest tropical forest after the Amazonian basin. However, as compared to its Amazonian counterpart, the Central Africa forests receive much less rain (∼1500 mm/year in mean spread over two rainy seasons in March-May and September-November, and two dry seasons). They also experience a slower deforestation rate, so that the main threat for the next decades might come from climate variations. Nonetheless, their response to the annual cycle of solar radiation and rainfall/clouds is still poorly known. Analysing high resolution remote sensing data of Enhanced Vegetation Index, rainfall, cloudiness, and solar radiation for a target region located between 0 and 5°N and 12–19°E, we explore the climatic drivers of the forests greenness mean annual cycle. Three main points emerge; first, the diurnal cycle is a key-scale for understanding the mean annual cycles of rainfall and incoming solar radiation at surface, then how climate shapes the greenness mean annual evolution; second, neither the two dry seasons nor the two rainy seasons resemble each other in terms of cloud cover, solar radiation and rainfall, and their links with greenness levels; third, whereas the first rainy season (March-May) appears optimal for greenness especially because of favorable light conditions, water availability is the main controlling factor during the main dry season and at the start of the first vegetative season (February). Regarding the little dry season (mid-June-mid-August) and the second rainy season (September-October), light availability might be the main limiting factor. These findings pave the way for further studies of the climate interannual variability and change impacts on the Central Africa forests, taking into account time-scale interactions.
ISSN: 0168-1923

hal-01309565
https://hal.archives-ouvertes.fr/hal-01309565
DOI : 10.1016/j.agrformet.2016.04.005