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strengths

strengths. weaknesses. SWOT - ANALYSIS RESULTS OF ECOLOGICAL TARGETS GROUP. opportunities. threats. strengths. weaknesses. - Educational to scientists & decison makers - Integration of knowledge & international cooperation - General understanding of how the open Baltic works

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strengths

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  1. strengths weaknesses SWOT - ANALYSIS RESULTS OF ECOLOGICAL TARGETS GROUP opportunities threats

  2. strengths weaknesses - Educational to scientists & decison makers - Integration of knowledge & international cooperation - General understanding of how the open Baltic works - Development of strategies (fish model) - Too much precision and too quantitative for managers. Make cost/ investments relative to base model - Move from hard data to fuzzy logic methods? - Models not linked in way managers require - Cannot accommodate fine resolution and minute processes, e.g. N & P links. - Mismatch between geographical units and those used by WFD - Data inadequate/ missing - Too few targets (nutrients, Secchi, anoxia, fish reduction). - Coast not included. - Response time of system to measures. opportunities threats - May be helpful in implementing WFD as a tool - Need to incorporate climate change effects - MARE to underpin WFD implementation - Save duplication - Integrate with other Baltic programmes - Export value to other semi-enclosed seas - Regionalisation of application and further development of tool. - Increase number of targets. - Coupling NEST to other ICZM models / sci models. - Top-down and bottom-up connection (sci-man) - Managers to believe the data produced - Science not sufficiently well-developed - Managers need educating regarding ‘ecological change’ - Duplicating effort with other initiatives - That MARE does not help to fullfil WFD - Maintenance? Long term perspective - Too much confidence in NEST: ‘keep thinking!’

  3. strengths - Educational to scientists & decison makers - Integration of knowledge & international cooperation - General understanding of how the open Baltic works - Development of strategies (fish model)

  4. weaknesses - Too much precision and too quantitative for managers. - Make cost/ investments relative to base model - Move from hard data to fuzzy logic methods? - Models not linked in way managers require (cause – effect) - Cannot accommodate fine resolution and minute processes, e.g. N & P links. - Mismatch between geographical units and those used by WFD - Data inadequate/ missing - Too few SMART targets (nutrients, Secchi, anoxia, fish reduction). - Coast not included. - Response time of system to measures.

  5. opportunities - May be helpful in implementing WFD as a tool - Need to incorporate climate change effects - MARE to underpin WFD implementation - Save duplication - Integrate with other Baltic programmes - Export value to other semi-enclosed seas - Regionalisation of application and further development of tool. - Increase number of targets. - Coupling NEST to other ICZM models / sci models. - Top-down and bottom-up connection (sci-man)- Open the architecture?

  6. threats - Managers to believe the data produced - Science not sufficiently well-developed - Managers need educating regarding ‘ecological change’ - Duplicating effort with other initiatives - That MARE does not help to fullfil WFD - Maintenance? Long term perspective - Too much confidence in NEST: ‘keep thinking!’

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