This presentation imparts summary of main issues and results from the inception up to present, time frame, obstacles found, lessons learnt and future activities for the Caribbean LME Project Information Management System/Regional Environmental Monitoring Program. Presented by Paul Geerders, Project leader for the IMS/REMP

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CLME - IMS/REMP
Paul Geerders
Project leader IMS/REMP
pgeerders@clmeproject.org
paul@pgcons.nl
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Contents
 Summary of main issues and results up to now
 Time frame
 Obstacles found
 Lessons learnt
 Future activities
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IMS/REMP
 IMS – Information Management System
 internet-based reference to sources of data and
information (metadata directory)
 REMP – Regional Environmental Monitoring Program
 monitoring of ecosystems, environment and related
issues
 monitoring of project progress and impact of SAP
implementation

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Results
 Beta version IMS/REMP (http://clmeims.gcfi.org/)
 Indicators (3 x 3 matrix)
 Data Policy draft
 Network of contacts in CLME countries
 Contacts with stakeholder organisations
 Contacts with other LME’s
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5. IMS/REMP
DATA AND
INFORMATION
ANALYSIS AND
ADVICE: DSS
REVIEW AND
EVALUATION :
MONITORING
IMPLEMENT-
ATION
DECISION
MAKING
IMS/REMP and Policy Cycle
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Demonstration projects
 IMS for Integrated Coastal Area Management ICAM
 IMS for Economic Valuation
 IMS for management of Spiny Lobster
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Lessons learnt
 Need for harmonized monitoring of marine-coastal ecosystems and
environment, including basins, beaches, mangroves and wetlands
 Need for harmonized monitoring of fisheries industry and effort
(including white, grey and black market), and of fish stocks
 Strengthening of data and information management, from institutional
to regional
 Development of suitable numerical models for forecasts and simulation
as part of DSS
 Development of dedicated expert/knowledge systems as part of DSS
 Regional agreement on common data policy as basis for sharing of data
and information
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8. State of …
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Foreseen activities
 Further development of IMS/REMP and expansion with new
themes
 Cooperation on data and information issues with other LME’s
 Assistance and advice to CLME countries on data/information
issues
 Archaeology and rescue of historical data archives
 Crowd sourcing of data and information
 Ferrybox concept for monitoring

10. Relation with CLME SAP
 Enhance the data and information collection (monitoring and
surveillance), management and reporting capacity at regional, sub-
regional and national levels, including through the establishment of public-
private partnerships
 Facilitate the uptake of lessons learnt, and of the results of monitoring and
research in (sub)regional and national science-policy processes through
dedicated data and information products (including indicators) and
services (IMS/REMP)
 Operationalise and further enhance interlinked, (sub)regional decision
support systems (DSS) for the relevant fisheries sectors
 Develop and adopt a regional policy for data and information
harmonization and sharing
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Conclusions
 IMS/REMP helps to locate the data and information
needed for decision making
 IMS/REMP helps to ensure the access to data and
information required to generate indicators
 IMS/REMP promotes and supports the good
management of data and information
 IMS/REMP promotes the sharing of data and
information
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12. Thank you !
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