Spatial decision support in aquaculture: the role of geographical information systems and remote sensing

Geographical information systems (GIS) have developed rapidly, especially recently, in response to a burgeoning range of increasingly complex spatial management questions. Their adoption for decision support and planning in aquaculture has been slow but is now increasing, to the point where agencies are beginning to expect it to be used in project planning. GIS modelling can be used to great advantage both for management and research within the sector, and this chapter shows how GIS models and model collections are expert systems based around a virtual environment and illustrates the wide range of modelling that can be applied to aquaculture problems.

[1]  Lindsay G. Ross,et al.  A comparison of development opportunities for crab and shrimp aquaculture in southwestern Bangladesh, using GIS modelling , 2003 .

[2]  J. Kapetsky.  A strategic assessment of warm-water fish farming potential in Africa , 1994 .

[3]  John Bolte,et al.  Applications of geographical information systems (GIS) for spatial decision support in aquaculture , 2000 .

[4]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[5]  L. Ross,et al.  Geographical information systems‐based models for offshore floating marine fish cage aquaculture site selection in Tenerife, Canary Islands , 2005 .

[6]  J. Palutikof,et al.  Climate change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. , 2007 .

[7]  Muhammad Mahboob Ali,et al.  Carp farming potential in Barhatta Upazilla, Bangladesh: a GIS methodological perspective , 2005 .

[8]  Lindsay G. Ross,et al.  The application of geographical information systems to site selection for coastal aquaculture : an example based on salmonid cage culture , 1993 .

[9]  W. Adger,et al.  Effects of climate change on the sustainability of capture and enhancement fisheries important to the poor: analysis of the vulnerability and adaptability of fisherfolk living in poverty. Final Technical Report. , 2005 .

[10]  U. N. Wijkstrom.  Short and Long-term Prospects for Consumption of Fish , 2004, Veterinary Research Communications.

[11]  Mark W. Rosegrant,et al.  Book Review: Fish to 2020: Supply and Demand in Changing Global Markets , 2003 .

[12]  Bob Cechet,et al.  Options for Victorian agriculture in a "new" climate: Pilot study linking climate change and land suitability modelling , 2006, Environ. Model. Softw..

[13]  Lynn P. Nygaard,et al.  Mapping vulnerability to multiple stressors: climate change and globalization in India , 2004 .

[14]  D. Raes,et al.  Agro-climatic suitability mapping for crop production in the Bolivian Altiplano: A case study for quinoa , 2006 .

[15]  Lindsay G. Ross,et al.  Geographical Information Systems (GIS) as a Simple Tool to Aid Modelling of Particulate Waste Distribution at Marine Fish Cage Sites , 2002 .

[16]  M. Beveridge,et al.  Eco-tourism to Protect the Reserve Mangrove Forest the Sundarbans and its Flora and Fauna , 2000 .

[17]  Cecile Brugere,et al.  Global aquaculture outlook in the next decades: an analysis of national aquaculture production forecasts to 2030 , 2004 .

[18]  R. Leemans,et al.  A Multidisciplinary multi-scale framework for assessing vulnerability to global change , 2004 .

[19]  Colin Polsky,et al.  Assessing vulnerabilities to the effects of global change: an eight step approach , 2005 .

[20]  S. Siegel,et al.  Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.

[21]  K. Black.  Environmental impacts of aquaculture , 2000 .

[22]  Lindsay G. Ross,et al.  Geographical information system (GIS) environmental models for aquaculture development in Sinaloa State, Mexico , 1995, Aquaculture International.

[23]  Efraim Turban,et al.  Decision support systems and intelligent systems , 1997 .

[24]  Lindsay G. Ross,et al.  Use of GIS-Based Models for Integrating and Developing Marine Fish Cages within the Tourism Industry in Tenerife (Canary Islands) , 2003 .

[25]  R. W. Saaty,et al.  The analytic hierarchy process—what it is and how it is used , 1987 .

[26]  Lindsay G. Ross,et al.  A fully integrated GIS-based model of particulate waste distribution from marine fish-cage sites , 2006 .