Access the full text.
Sign up today, get DeepDyve free for 14 days.
H. Shahabi, M. Hashim (2015)
Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environmentScientific Reports, 5
I. McLeod, F. Pantus, N. Preston (2002)
The use of a geographical information system for land‐based aquaculture planningAquaculture Research, 33
A. Petherick (2010)
Cold blamed for Bolivia's mass fish deathsNature, 467
A. Milstein, M. Zoran, Yakob Peretz, D. Joseph (2000)
Low Temperature Tolerance of Pacu, Piaractus mesopotamicusEnvironmental Biology of Fishes, 58
F. Rahel, J. Olden (2008)
Assessing the Effects of Climate Change on Aquatic Invasive SpeciesConservation Biology, 22
O. Pérez, L. Ross, T. Telfer, L. Del, Campo Barquin (2003)
Water quality requirements for marine fish cage site selection in Tenerife (Canary Islands): predictive modelling and analysis using GISAquaculture, 224
J. Malczewski (2000)
On the Use of Weighted Linear Combination Method in GIS: Common and Best Practice ApproachesTransactions in GIS, 4
G. Meaden, J. Aguilar-Manjarrez (2013)
Advances in geographic information systems and remote sensing for fisheries and aquaculture : summary version
M. Halwart, S. Funge‐Smith, J. Moehl (2003)
The Role of Aquaculture in Rural Development
I. Radiarta, S. Saitoh, H. Yasui (2011)
Aquaculture site selection for Japanese kelp (Laminaria japonica) in southern Hokkaido, Japan, using satellite remote sensing and GIS-based modelsIces Journal of Marine Science, 68
G. Valladão, S. Gallani, F. Pilarski (2018)
South American fish for continental aquacultureReviews in Aquaculture, 10
S. Kam, C. Hoanh (2007)
Modeling pond-water availability for fish culture
J. Aguilar‐Manjarrez, J. M. Kapetsky (2013)
Advances in geographic information systems and remote sensing for fisheries and aquaculture. FAO Fisheries and Aquaculture Technical Paper, 552
I. Radiarta, S. Saitoh, A. Miyazono (2008)
GIS-based multi-criteria evaluation models for identifying suitable sites for Japanese scallop (Mizuhopecten yessoensis) aquaculture in Funka Bay, southwestern Hokkaido, JapanAquaculture, 284
Ismael Díaz, Ana Mello, M. Salhi, M. Spinetti, M. Bessonart, M. Achkar (2017)
Multiscalar land suitability assessment for aquaculture production in UruguayAquaculture Research, 48
Claudio Silva, Claudio Silva, E. Yañez, M. Martín-Díaz, T. DelValls (2016)
GIS‐based ecological risk assessment for contaminated sites by fish farm effluents using a multicriteria weight of evidence approachAquaculture Research, 47
M. Salam, N. Khatun, M. Ali (2005)
Carp farming potential in Barhatta Upazilla, Bangladesh: a GIS methodological perspectiveAquaculture, 245
S. Nath, J. Bolte, L. Ross, J. Aguilar-Manjarrez (2000)
Applications of geographical information systems (GIS) for spatial decision support in aquacultureAquacultural Engineering, 23
M. Portella, R. Jomori, N. Leitão, O. Menossi, T. Freitas, J. Kojima, T. Lopes, J. CLAVIJO-AYALA, D. Carneiro (2014)
Larval development of indigenous South American freshwater fish species, with particular reference to pacu (Piaractus mesopotamicus): A reviewAquaculture, 432
V. Valavanis, G. Pierce, A. Zuur, A. Palialexis, A. Saveliev, I. Katara, Jianjun Wang (2008)
Modelling of essential fish habitat based on remote sensing, spatial analysis and GISHydrobiologia, 612
S. Kam, H. Barth, D. Pemsl, S. Kriesemer, S. Teoh, M. Bose (2008)
Recommendation domains for pond aquaculture
N. Puniwai, Lisa Canale, M. Haws, J. Potemra, Christopher Lepczyk, Steven Gray (2014)
Development of a GIS-Based Tool for Aquaculture SitingISPRS Int. J. Geo Inf., 3
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 km2) 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.
Journal of Applied Ichthyology – Wiley
Published: Dec 1, 2018
Keywords: ; ; ; ;
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.