control measures, lionfish establishment throughout the Gulf of Mexico is imminent. As of this writing, lionfish have been reported from the Florida panhandle, Alabama, and Louisiana waters indicating the invasion has progressed to these areas and as predicted by our RSM (Schofield, 2010; USGS-NAS database, 2010).
4.4. Future Directions and Research
The invasion RSM developed in this study would be a useful tool to predict patterns of invasion should lionfish become established in other geographic locations, for instance the Pacific coast of Panama (by passage through the Panama canal) or the Mediterranean Sea. Early use would indicate areas where detection and prevention efforts should be focused. The western Gulf of Mexico is one such area as predicted by our RSM and supported by Schofield (2010).
While the invasion RSM developed focused on lionfish, with further refinement the same model could be used in future invasion cycles of other marine species, including such species as Caulerpa taxifolia, an invasive marine macro-algae which has become established in the Mediterranean. The RSM is flexible in the number and scope of parameters it examines and can be configured to utilize any geographical local for which empirical data are available. Application to other known invasions for which accurate spatial records have been collected would test its accuracy and we encourage the community to utilize it. Further refinements to the GSMs algorithms could allow for time-sensitive cycles to gain a more accurate determination of the timeline of an invasion. Full VB.Net and SQL code used in the development of the model are available at the following website: http://www.mattspace.com/lionfish/invasion.htm.
control measures, lionfish establishment throughout the Gulf of Mexico is imminent. As of this writing, lionfish have been reported from the Florida panhandle, Alabama, and Louisiana waters indicating the invasion has progressed to these areas and as predicted by our RSM (Schofield, 2010; USGS-NAS database, 2010).
4.4. Future Directions and Research
The invasion RSM developed in this study would be a useful tool to predict patterns of invasion should lionfish become established in other geographic locations, for instance the Pacific coast of Panama (by passage through the Panama canal) or the Mediterranean Sea. Early use would indicate areas where detection and prevention efforts should be focused. The western Gulf of Mexico is one such area as predicted by our RSM and supported by Schofield (2010).
While the invasion RSM developed focused on lionfish, with further refinement the same model could be used in future invasion cycles of other marine species, including such species as Caulerpa taxifolia, an invasive marine macro-algae which has become established in the Mediterranean. The RSM is flexible in the number and scope of parameters it examines and can be configured to utilize any geographical local for which empirical data are available. Application to other known invasions for which accurate spatial records have been collected would test its accuracy and we encourage the community to utilize it. Further refinements to the GSMs algorithms could allow for time-sensitive cycles to gain a more accurate determination of the timeline of an invasion. Full VB.Net and SQL code used in the development of the model are available at the following website: http://www.mattspace.com/lionfish/invasion.htm.
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