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Comment
. 2016 Aug 30:3:160071.
doi: 10.1038/sdata.2016.71.

A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon

Affiliations
Comment

A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon

Joanna M Tucker Lima et al. Sci Data. .

Abstract

Recognized as one of the world's most vital natural and cultural resources, the Amazon faces a wide variety of threats from natural resource and infrastructure development. Within this context, rigorous scientific study of the region's complex social-ecological system is critical to inform and direct decision-making toward more sustainable environmental and social outcomes. Given the Amazon's tightly linked social and ecological components and the scope of potential development impacts, effective study of this system requires an easily accessible resource that provides a broad and reliable data baseline. This paper brings together multiple datasets from diverse disciplines (including human health, socio-economics, environment, hydrology, and energy) to provide investigators with a variety of baseline data to explore the multiple long-term effects of infrastructure development in the Brazilian Amazon.

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Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Map of the Legal Amazon, including states of Acre (AC), Amapá (AP), Amazonas (AM), Maranhão (MA), Mato Grosso (MT), Pará (PA), Rondônia (RO), Roraima (RR), and Tocantins (TO), showing locations of operating hydroelectric dams (>30 MW; n=22), and fluviometric and pluviometric gauging stations (n=947 and n=1342, respectively) that supply information to our social-ecological database.
NOTE: most fluviometric stations overlap pluviometric stations.

Comment on

References

Data Citations

    1. Tucker Lima J. M. 2016. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.20627 - DOI
    1. Tucker Lima J. M. 2016. Amazon Dams Network. http://www.amazondamsnetwork.org/amazon-databases

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