Liu, J., V. Hull, M. Batistella, R. DeFries, T. Dietz, F. Fu, T. W. Hertel, R. C. Izaurralde, E. F. Lambin, S. Li, L. A. Martinelli, W. J. McConnell, E. F. Moran, R. Naylor, Z. Ouyang, K. R. Polenske, A. Reenberg, G. de Miranda Rocha, C. S. Simmons, P. H. Verburg, P. M. Vitousek, F. Zhang, and C. Zhu. 2013. Framing sustainability in a telecoupled world. Ecology and Society 18(2): 26. https://doi.org/10.5751/ES-05873-180226

Significance: North American and European countries built many large dams until 1975, after which both started to abandon a significant part of their installed hydropower because of the negative social and environmental impacts. However, there has been a recent trend of new large hydropower dams being built in developing countries, particularly in megabiodiversity river basins, such as the Amazon, the Congo, and the Mekong. The socioeconomic and environmental damages in these river systems are even greater than the early costs in North America and Europe. This paper discusses how the hydropower sector needs to not only focus on energy production but also, include the negative social and environmental externalities caused by dams and recognize the unsustainability of current common practices.

The global food market makes international players intrinsically connected through the flow of commodities, demand, production, and consumption. Local decisions, such as new economic policies or dietary shifts, can foster changes in coupled human–natural systems across long distances. Understanding the causes and effects of these changes is essential for agricultural-export countries, such as Brazil. Since 2000, Brazil has led the expansion of soybean planted area—19 million hectares, or 47.5% of the world’s increase. Soybean is among the major crop commodities traded globally. We use the telecoupling framework to analyze (i) the international trade dynamics between Brazil and China as the cause of the increased production of Brazilian soybean since 2000; (ii) and the cascading effects of the Sino-Brazilian telecoupled soybean system for Brazilian maize production and exports, with attention to consequences on domestic prices, availability, and risks associated with climatic extreme events. Census-based data at state and county levels, policy analysis, and interviews with producers and stakeholders guided our methodological approach. We identified that the Brazilian soybean production decreased maize single crop production and accelerated maize as a second crop following soybean, a practice that makes farmers more vulnerable to precipitation anomalies (e.g., rainfall shortage). In addition, the two-crop system of soybean/maize pressures the Brazilian maize market when unexpected events such as extreme droughts strike and when this results in a failed maize harvest in the second crop, most of which is for domestic consumption rather than export. Our study suggests the need to incorporate the telecoupling framework in land use decision-making and understanding landscape changes.

This paper provides a comparative analysis of land-use and land-cover (LULC) changes among three study areas with different biophysical environments in the Brazilian Amazon at multiple scales, from per-pixel, polygon, census sector, to study area. Landsat images acquired during the years of 1990/1991, 1999/2000, and 2008/2010 were used to examine LULC change trajectories with the post-classification comparison approach. A classification system composed of six classes – forest, savanna, other vegetation (secondary succession and plantations), agro-pasture, impervious surface, and water – was designed for this study. A hierarchical-based classification method was used to classify Landsat images into thematic maps. This research shows different spatiotemporal change patterns, composition, and rates among the three study areas and indicates the importance of analysing LULC change at multiple scales. The LULC change analysis over time for entire study areas provides an overall picture of change trends, but detailed change trajectories and their spatial distributions can be better examined at a per-pixel scale. The LULC change at the polygon scale provides the information of the changes in patch sizes over time, while the LULC change at census sector scale gives new insights on how human-induced activities (e.g. urban expansion, roads, and land-use history) affect LULC change patterns and rates. This research indicates the necessity to implement change detection at multiple scales for better understanding the mechanisms of LULC change patterns and rates.

Significance: This research provides a global-scale evaluation of the impact of dam construction by using a variety of global spatial databases. In particular, it provides insight into the impacts on economy, population, and greenness of 631 recently built hydropower dams by region and dam size. We discovered that 631 recently built hydropower dams were associated with reduced local economy, population, and greenness in areas within 50 km of the dam sites, particularly in the Global South. This is contrary to claims that dams improve the livelihoods of people as well as ecosystem services. The research highlights that policy interventions are needed to address impacts on populations and urban land near small and medium dams.

The Atlantic Forest biome has only 13 percent of its pristine vegetation cover left. This article analyzes the consequences of land changes on forest cover in the Paraíba Valley, São Paulo state, Brazil, from 1985 to 2011. Multitemporal satellite image classifications were carried out to map eight land use and land cover classes. The forest cover increased from 2,696 km² in 1985 to 4,704 km² in 2011, mostly over areas of degraded pastures. The highest rates of afforestation were observed within protected areas around eucalyptus plantations. On the other hand, deforestation processes were concentrated on areas covered by secondary forests. Socioeconomic changes taking place in particular Brazilian settings, such as industrialization and agricultural modernization, allied to the Paraíba Valley's natural biophysical constraints for agricultural production, have led the region to experience a remarkable case of forest transition.