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Following potential reforestation in the Amazon Basin, changes in the biophysical characteristics of the land surface may affect the fluxes of heat and moisture behavior. This research examines the impacts of potential tropical reforestation on surface energy and moisture budgets, including precipitation and temperature. The study is novel in that while most studies look at the opposite driver (deforestation), this one examines the impact of potential forest rehabilitation on atmospheric behavior using WRF.V3.9 (weather research and forecast model). We found that forest rehabilitation across the Amazon Basin can make the atmosphere cooler with more moisture and latent heat (LH), especially during May-November. For instance, the mean seasonal temperature decreased significantly by about 1.2 °C, indicating the cooling effects of reforestation. Also, the seasonal precipitation increased by 5 mm/day in reforested areas. By reforestation, the mean monthly LH also increased as much as 50 W m−2 in August in certain areas, while available moisture to the atmosphere increased by 27%, indicating possible causal mechanisms between increased LH and precipitation and emphasizing the mechanisms that were identified between the onset of the wet season and forest cover. Therefore, it is likely that forest regrowth across the basin leads to, if not reverses regional climate change, at least slowing down the rate of changes in the climate. 

Abstract While there have been efforts to supply off-grid energy in the Amazon, these attempts have focused on low upfront costs and deployment rates. These “get-energy-quick” methods have almost solely adopted diesel generators, ignoring the environmental and social risks associated with the known noise and pollution of combustion engines. Alternatively, it is recommended, herein, to supply off-grid needs with renewable, distributed microgrids comprised of photovoltaics (PV) and in-stream generators (ISG). Utilization of a hybrid combination of renewable generators can provide an energetically, environmentally, and financially feasible alternative to typical electrification methods, depending on available solar irradiation and riverine characteristics, that with community engagement allows for a participatory codesign process that takes into consideration people’s needs. A convergent solution development framework that includes designers—a team of social scientists, engineers, and communication specialists—and communities as well as the local industry is examined here, by which the future negative impacts at the human–machine–environment nexus can be minimized by iterative, continuous interaction between these key actors. 

Avaliamos as mudanças na dinâmica da pesca e nos aspectos sociais, econômicos, político-institucionais e ecológicos, em duas localidades do reservatório da Usina Hidroelétrica Santo Antônio: Distrito Jaci Paraná e Vila Nova do Teotônio, Rondônia, Brasil. A dinâmica pesqueira e o Índice do Desenvolvimento dos Pescadores do Médio Madeira (IDPM) foram obtidos e comparados entre os períodos: 2007/2009 e 2017/2019. Observamos: redução na captura e na contribuição das comunidades no mercado de Porto Velho; variações na composição das capturas, diminuição de algumas espécies; e diminuição na renda média mensal dos pescadores. O IDPM das localidades diminuiu no POSR e abaixo do ideal de desenvolvimento, influenciado pelo baixo desempenho dos indicadores ecológico e pesca. Ambas as localidades sofreram com as mudanças, os poucos pescadores que persistiram na atividade, demostram estratégias de adaptação ao novo cenário, com variações entre as localidades. 

Nations in the Global South have increasingly embraced large hydropower. Hydropower development typically involves the displacement and resettlement of entire communities and has a range of social and ecological impacts. Some communities become the operational center for the dam construction, as well as host new neighborhoods of resettlers. One of the less-studied impacts of dams is the potential loss of social capital both in resettled and host communities. Here, we ask how the Belo Monte dam in the Amazon is associated with social capital in a resettled group and a non-resettled population that, while not experiencing resettlement, nevertheless was impacted by the dam as well. We use measures of cognitive and structural social capital. Results suggest that resettlers have lower structural social capital across two proxy indicators, whereas the host community has lower cognitive social capital. Future research and social impact assessments should pay more attention to how hydropower impacts both kinds of social capital.