@Article{LimaVMPZRBPOCBBLTK:2016:SoDaAd,
author = "Lima, Joanna M. Tucker and Valle, Denis and Moretto, Evandro
Mateus and Pulice, Sergio Mantovani Paiva and Zuca, Nadia Lucia
and Roquetti, Daniel Rondinelli and Beduschi, Liviam Elizabeth
Cordeiro and Praia, Amanda Salles and Okamoto, Claudia Parucce
Franco and Carvalhaes, Vinicius Leite da Silva and Branco, Evandro
Albiach and Barbezani, Bruna and Labandera, Emily and Timpe,
Kelsie and Kaplan, David",
affiliation = "{University of Florida} and {University of Florida} and
{Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)}
and {Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)}
and {Universidade de S{\~a}o Paulo (USP)} and {Universidade de
S{\~a}o Paulo (USP)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {University of Florida} and {University of
Florida} and {University of Florida} and {University of Florida}",
title = "A social-ecological database to advance research on infrastructure
development impacts in the Brazilian Amazon",
journal = "Scientific Data",
year = "2016",
volume = "3",
pages = "160071",
month = "Aug.",
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.",
doi = "10.1038/sdata.2016.71",
url = "http://dx.doi.org/10.1038/sdata.2016.71",
issn = "2052-4436",
language = "en",
targetfile = "lima_a social.pdf",
urlaccessdate = "21 maio 2024"
}