Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference

International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th editio

Desflorestamento na amazônia brasileira: ação coletiva, governança e governabilidade em área de fronteira Deforestation in the Brazilian Amazon: colective action, governance and governability in boundary areas

Este trabalho tem como objetivo analisar o papel das políticas de ocupação e o uso dos recursos naturais da Amazônia e identificar em que medida essas políticas podem afetar o comportamento de determinados grupos em relação ao desflorestamento da região. Para tanto, apresenta os conceitos de capital social, ação coletiva, governança e governabilidade utilizados para tentar explicar o comportamento de alguns atores presentes na área de influência da rodovia BR-163 (Cuiabá-Santarém). Os resultados alcançados indicam que as políticas de controle do desflorestamento somente conseguirão influenciar o comportamento dos atores da região se houver uma ação mais efetiva do Estado, por meio da utilização de mecanismos de regulamentação. Essa ação deve levar em conta as relações de poder local e o reflexo delas sobre as taxas de desflorestamento. Finalmente, fica claro que o estabelecimento de instrumentos e incentivos econômicos capazes de interferir em comportamentos eminentemente individuais também deve ser parte de uma política de desenvolvimento regional.<br>The text analyzes settlement policies and land use processes in the Brazilian Amazon rain forest region and their relation with the evolution of regional deforestation rates. For that purpose, the concepts of social capital, collective action and governance were used to explain practices and activities carried out by selected actors present in the area of influence of the BR-163 highway (Cuiabá-Santarém). Results indicate that the success of these policies depends on the State's effective presence in the region, by means of the deployment of regulatory instruments. Also, these actions have to consider local power relationships and how they reflect themselves in Amazon deforestation rates. Finally, it is shown that the establishment of economic mechanisms and incentives could contribute to changing actors' individual behavior

The miniJPAS survey: a preview of the Universe in 56 colours

International audienceThe Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start to scan thousands of square degrees of the northern extragalactic sky with a unique set of $56$ optical filters from a dedicated $2.55$m telescope, JST, at the Javalambre Astrophysical Observatory. Before the arrival of the final instrument (a 1.2 Gpixels, 4.2deg$^2$ field-of-view camera), the JST was equipped with an interim camera (JPAS-Pathfinder), composed of one CCD with a 0.3deg$^2$ field-of-view and resolution of 0.23 arcsec pixel$^{-1}$. To demonstrate the scientific potential of J-PAS, with the JPAS-Pathfinder camera we carried out a survey on the AEGIS field (along the Extended Groth Strip), dubbed miniJPAS. We observed a total of $\sim 1$ deg$^2$, with the $56$ J-PAS filters, which include $54$ narrow band (NB, $\rm{FWHM} \sim 145$Angstrom) and two broader filters extending to the UV and the near-infrared, complemented by the $u,g,r,i$ SDSS broad band (BB) filters. In this paper we present the miniJPAS data set, the details of the catalogues and data access, and illustrate the scientific potential of our multi-band data. The data surpass the target depths originally planned for J-PAS, reaching $\rm{mag}_{\rm {AB}}$ between $\sim 22$ and $23.5$ for the NB filters and up to $24$ for the BB filters ($5\sigma$ in a $3$~arcsec aperture). The miniJPAS primary catalogue contains more than $64,000$ sources extracted in the $r$ detection band with forced photometry in all other bands. We estimate the catalogue to be complete up to $r=23.6$ for point-like sources and up to $r=22.7$ for extended sources. Photometric redshifts reach subpercent precision for all sources up to $r=22.5$, and a precision of $\sim 0.3$% for about half of the sample. (Abridged