02132naa a2200169 a 450000100080000000500110000800800410001910000210006024502100008126000090029152014590030065300160175965300080177565300190178370000170180277301430181911218572014-10-01       2009    bl uuuu     u00u1 u    #d1 aVIANNA, L. F. N.  aBuilding scenarios and decision-making methods for coastal aquaculture site selection in Brazil. A case study of South Bay in Florian??polis, Santa Catarina, Brazil ? Practical work.h[electronic resource]  c2009  aThis  case-study  is  part  of  research  done  by  the  Santa  Catarina  Agriculture  Research  and  Extension Bureau (Empresa de Pesquisa Agropecu??ria e Extens??o Rural de Santa Catarina) for  the Special Secretariat for Aquaculture  and Fisheries (SEAP) of  Brazil to produce information  needed for the development of Local Plans for Mariculture  Development (PLDM) in Brazil. In  this exercise, a site selection analysis for oyster culture in the southern bay of the Florian??polis  region  is  carried  out,  using  several  site  selection  factors  identified  by  a  group  of  18  experts  including  oceanographers,  geographers,  cartographers,  administrative  personnel  including  extension  agents,  mariculture  technicians,  mussel  and  oyster  farmers  (VIANNA,  2007).  The  analysis  is  based  on  the  suitability  of  environmental,  socioeconomic  and  logistic  factors.  The  Multi-criteria  Evaluation  methods  applied  here  use  the  ArcGIS  extension  MCE-FLOWA  that  includes  the  Analytical  Hierarchy  Process  (AHP )  by  Saaty  (2001)  and  the  Ordered  Weighted  Averaging  (OWA)  by  Boroushaki  and  Malkzewski  (2008).  The  AHP  allows  factors  to  be  compared  utilising  matrices  and  numerical  scales,  while  the  OWA  favours  evaluation  of  the  relative  importance  of  the  factors  according  to  the  experts  preference,  the  outputs  of  MCEFLOWA are a number of site selection scenarios.  aaquaculture  aGIS  asite selection1 aSCOTT, P. C.  tIn: AGUILAR-MANJARREZ, J.; CAROCCI, F. Manual of training course on the use of GIS in fisheries and aquaculture. Roma: FAO, 2009. p. 1-24.