Deforestation and Carbon Stock Loss in Brazil’s Amazonian Settlements

We estimate deforestation and the carbon stock in 2740 (82 %) of the 3325 settlements in Brazil’s Legal Amazonia region. Estimates are made both using available satellite data and a carbon map for the “pre-modern” period (prior to 1970). We used data from Brazil’s Project for Monitoring Deforestation in Amazonia updated through 2013 and from the Brazilian Biomes Deforestation Monitoring Project (PMDBBS) updated through 2010. To obtain the pre-modern and recent carbon stocks we performed an intersection between a carbon map and a map derived from settlement boundaries and deforestation data. Although the settlements analyzed occupied only 8 % of Legal Amazonia, our results indicate that these settlements contributed 17 % (160,410 km2) of total clearing (forest + non-forest) in Legal Amazonia (967,003 km2). This represents a clear-cutting of 41 % of the original vegetation in the settlements. Out of this total, 72 % (115,634 km2) was in the “Federal Settlement Project” (PA) category. Deforestation in settlements represents 20 % (2.6 Pg C) of the total carbon loss in Legal Amazonia (13.1 Pg C). The carbon stock in remaining vegetation represents 3.8 Pg C, or 6 % of the total remaining carbon stock in Legal Amazonia (58.6 Pg C) in the periods analyzed. The carbon reductions in settlements are caused both by the settlers and by external actors. Our findings suggest that agrarian reform policies contributed directly to carbon loss. Thus, the implementation of new settlements should consider potential carbon stock losses, especially if settlements are created in areas with high carbon stocks. © 2016, The Author(s)

Ethnobotanical ground-truthing of Baniwa landscape knowledge in the White-Sand Campinarana Forests of the Upper Rio Negro, Brazil

To assess the utility of indigenous habitat knowledge in studies of habitat diversity in Amazonia. Baniwa indigenous communities in Rio Içana, upper Rio Negro, Brazil. Six campinarana vegetation types, recognized and named by a consensus of Baniwa indigenous informants according to salient indicator species, were studied in 15 widely distributed plots. Floristic composition (using Baniwa plant nomenclature only, after frustrated attempts to obtain botanical collection permits), quantitative measures of forest structure and GPS waypoints of the 4-ha composite plot contours were registered, permitting their location on Landsat satellite images. Non-metric multidimensional scaling (NMDS) ordination was carried out using pc-ord software. The NMDS ordinations of the plot data revealed a clear gradient of floristic composition that was highly correlated with three quantitative measures of forest structure: basal area, canopy height and satellite reflectance. Baniwa-defined forest types are excellent predictors of habitat diversity along the structural gradient comprising distinctive white-sand campinarana vegetation types. Indigenous ecological knowledge, as revealed by satellite imagery and floristic analyses, proves to be a powerful and efficient shortcut to assessing habitat diversity, promoting dialogue between scientific and indigenous worldviews, and promoting joint study and conservation of biodiversity

Tuberculose na população indígena de São Gabriel da Cachoeira, Amazonas, Brasil Tuberculosis among the indian population in São Gabriel da Cachoeira, Amazonas State, Brazil

O estudo descreve a situação da tuberculose no Município de São Gabriel da Cachoeira, Estado do Amazonas, Brasil, no período de 1997 a 2002. Este município de população predominantemente indígena constitui uma importante noso-área da Amazônia para o problema da tuberculose, cuja magnitude se expressa por intermédio do coeficiente 2,4 vezes mais elevado que a média estadual e até quatro vezes mais que a média nacional. Análises estatísticas utilizadas para avaliar a tendência em relação à associação com a idade, o sexo e a forma clínica revelaram diferenças no comportamento da endemia, quando comparados os coeficientes de incidência entre os casos de procedência urbana e rural. As taxas padronizadas mostraram a população masculina com uma incidência mais elevada que a feminina nas duas áreas de residência. A faixa etária mais atingida foi acima de 50 anos, porém a proporção de menores de 15 anos se mostrou acima dos valores esperados na população geral do país, além de apresentar diferentes níveis de gravidade nas subáreas rurais estudadas. Os achados indicam que esta situação pode ser explicada pelas desigualdades, sobretudo, relativas à acessibilidade aos serviços de saúde que, contraditoriamente, parecem menos resolutivos na área urbana.<br>This study describes the tuberculosis situation in São Gabriel da Cachoeira, Amazonas State, Brazil, from 1997 to 2002. The county, which has a predominantly Indian population, is a relevant tuberculosis area in Amazonas, since the infection rate is 2.4 to 4 times that of the overall State and national rates. The statistical analyses used to assess its association with age, gender, and clinical form showed differences in the endemic behavior, comparing the urban and rural incidence rates. Males had higher standardized incidence rates than females in both the urban and rural areas. The most heavily affected age group was greater than 50 years, but the rate among individuals under 15 years was above the overall national rate, in addition to presenting different severity levels in the rural sub-areas that were studied. The situation can be explained mainly by inequalities in access to health services, which paradoxically appear to show lower case-resolving capacity in urban areas of the county

Environmental and Social Impacts of Hydroelectric Dams in Brazilian Amazonia: Implications for the Aluminum Industry

Aluminum smelting consumes large amounts of electricity and helps drive dam-building worldwide. Brazil plans to build dozens of hydroelectric dams in its Amazon region and in neighboring countries. Benefits are much less than is portrayed, partly because electricity is exported in electro-intensive products such as aluminum, creating little employment in Brazil. Dams perversely affect politics and social policies. Aluminum export offers an example of how a rethinking of energy use needs to be the starting point for revising energy policy. Dam impacts have been systematically underestimated, including population displacement and loss of livelihood (especially fisheries), biodiversity loss, and greenhouse-gas emissions. © 2015 Elsevier Ltd