@Article{VegaLoZuCaZaVa:2018:SoMaPr,
author = "Vega, Blanca and Lobo, Felipe de Lucia and Zubieta, Jos{\'e} and
Carolsfeld, Joachim and Zambrana, Ivar and Van Damme, Paul
Andr{\'e}",
affiliation = "{Institute for Action-Research on Hydrobiological Resources
(FAUNAGUA)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Institute for Action-Research on Hydrobiological Resources
(FAUNAGUA)} and {Institute for Action-Research on Hydrobiological
Resources (FAUNAGUA)} and {Institute for Action-Research on
Hydrobiological Resources (FAUNAGUA)} and {Institute for
Action-Research on Hydrobiological Resources (FAUNAGUA)}",
title = "Socio\‐environmental mapping for the prediction of
aquaculture success of Pacu (Colossoma spp., Piaractus spp., and
hybrids) in the Bolivian Amazon",
journal = "Journal of Applied Ichthyology",
year = "2018",
volume = "34",
number = "6",
pages = "1267--1276",
month = "Dec.",
keywords = "aquaculture, Bolivian Amazon, fish farmers, GIS modelling, pacu.",
abstract = "Tropical aquaculture has great potential to contribute to
Bolivia's food security and rural livelihoods. However, despite
substantial development in neighboring countries, growth of the
sector has been slow and intermittent in Bolivia. One of the key
limitations to effective growth is an inadequate knowledge of the
aquaculture potential for its expansion. The development of a
predictive tool for aquaculture propensity in the Bolivian Amazon
(708,482.4 km(2)) for pond culture of native {"}pacu{"} (Colossoma
macropomum, Piaractus spp., and their hybrids) is described. This
tool includes environmental variables (water availability,
temperature, flooding, and soil type) and accessibility variables
(market, food and fingerling suppliers, technical assistance),
that were assigned weights and thresholds through advice from
experts and producers to create suitability levels pacu fish
culture. Spatial modeling generated a raster map of 900 m
resolution, mapping specific suitability levels. The resulting
suitability map was subjected to a sensitivity analysis, to check
for undue influence of individual variables. Finally, the
predictive map was compared to actual fish pond distribution,
resulting in an accuracy of 85.6%. This validation process
indicates that the resulting tool can be used with confidence in
identifying promising areas for pacu aquaculture in the Bolivian
Amazon. The model can also be refined in the future with new
variables as these become available with new research, such as
predictions of economic performance.",
doi = "10.1111/jai.13814",
url = "http://dx.doi.org/10.1111/jai.13814",
issn = "0175-8659",
language = "en",
targetfile = "vegas_socio.pdf",
urlaccessdate = "27 abr. 2024"
}