Spatial modeling of environmental vulnerability of marine finfish aquaculture using GIS-based neuro-fuzzy techniques

Citation

Navas JM, Telfer T & Ross L (2011) Spatial modeling of environmental vulnerability of marine finfish aquaculture using GIS-based neuro-fuzzy techniques. Marine Pollution Bulletin, 62 (8), pp. 1786-1799. https://doi.org/10.1016/j.marpolbul.2011.05.019

Abstract
Combining GIS with neuro-fuzzy modeling has the advantage that expert scientific knowledge in coastal aquaculture activities can be incorporated into a geospatial model to classify areas particularly vulnerable to pollutants. Data on the physical environment and its suitability for aquaculture in an Irish fjard, which is host to a number of different aquaculture activities, were derived from a three-dimensional hydrodynamic and GIS models. Subsequent incorporation into environmental vulnerability models, based on neuro-fuzzy techniques, highlighted localities particularly vulnerable to aquaculture development. The models produced an overall classification accuracy of 85.71%, with a Kappa coefficient of agreement of 81%, and were sensitive to different input parameters. A statistical comparison between vulnerability scores and nitrogen concentrations in sediment associated with salmon cages showed good correlation. Neuro-fuzzy techniques within GIS modeling classify vulnerability of coastal regions appropriately and have a role in policy decisions for aquaculture site selection.

Keywords
Marine environmental vulnerability; Neuro-fuzzy techniques; Geographic Information Systems; Marine cage aquaculture

Journal
Marine Pollution Bulletin: Volume 62, Issue 8

People

Professor Lindsay Ross

Emeritus Professor, Institute of Aquaculture

Professor Trevor Telfer

Professor, Institute of Aquaculture