regional level 1.5.1 National committees and cooperation in regional networks of habitat tracking results of specialists established under the SAP actions for SCS project revitalized and coastal habitat functioning management 1.5.2 Mechanism to monitor and evaluate the impacts of SAP implementation and achievement of habitat targets operational [including agreement on standardized methods and guidelines for inventory and assessment] 1.5.3 Community leaders and local government from priority habitat sites networked via national and regional round-table meetings to foster cooperation and knowledge sharing on achievements and best practices 1.5.4 Biennial state of coastal habitat reports published 2. Strengthening 2.1 Enhanced 2.1.1 Algorithms for the 3,530,000 8,000,000 knowledge-based action information-base interpretation of remotely sensed planning for the for coastal habitat information and data on coastal management of coastal management and habitat associations and zonation habitats and land-based action planning developed and applied pollution to reduce 2.1.2 Mechanism for collection environmental and exchange of regional coastal degradation of the habitat information and data established 2.1.3 Role of coastal habitats of the in the sequestration and storage of carbon quantified 2.1.4 Review of the potential impacts of sea level rise, climate change, and episodic events on coastal habitats of the 2.1.5 A regional system for periodic monitoring of the state of coastal habitats of the 2.1.6 Updated and adopted National Action Plans for mangroves, coral reefs, seagrass and wetlands, including enactment of supporting legislation where required 2.2.1 Nutrient carrying capacity model for the SCS marine basin used to communicate with 2.2 Effective decision-makers about the integration of localized v. transboundary regional science in impacts of land-based pollution the management in the SCS of land-based 2.2.2 Total contaminant loading pollution and carrying capacity of the SCS estimated via application of quantitative modeling and based techniques for seven heavy metals (Hg, Cd, Pb, Cu, Cr, As, Zn).
regional level cooperation in tracking results of SAP actions for coastal habitat management 1.5.1 National committees and regional networks of habitat specialists established under the SCS project revitalized and functioning 1.5.2 Mechanism to monitor and evaluate the impacts of SAP implementation and achievement of habitat targets operational [including agreement on standardized methods and guidelines for inventory and assessment] 1.5.3 Community leaders and local government from priority habitat sites networked via national and regional round-table meetings to foster cooperation and knowledge sharing on achievements and best practices 1.5.4 Biennial state of coastal habitat reports published 2. Strengthening knowledge-based action planning for the management of coastal habitats and land-based pollution to reduce environmental degradation of the 2.1 Enhanced information-base for coastal habitat management and action planning 2.2 Effective integration of regional science in the management of land-based pollution 2.1.1 Algorithms for the interpretation of remotely sensed information and data on coastal habitat associations and zonation developed and applied 2.1.2 Mechanism for collection and exchange of regional coastal habitat information and data established 2.1.3 Role of coastal habitats of the in the sequestration and storage of carbon quantified 2.1.4 Review of the potential impacts of sea level rise, climate change, and episodic events on coastal habitats of the 2.1.5 A regional system for periodic monitoring of the state of coastal habitats of the 2.1.6 Updated and adopted National Action Plans for mangroves, coral reefs, seagrass and wetlands, including enactment of supporting legislation where required 2.2.1 Nutrient carrying capacity model for the SCS marine basin used to communicate with decision-makers about the localized v. transboundary impacts of land-based pollution in the SCS 2.2.2 Total contaminant loading and carrying capacity of the SCS estimated via application of quantitative modeling and techniques for seven heavy metals (Hg, Cd, Pb, Cu, Cr, As, Zn). 3,530,000 8,000,000 based
04-18-14_SCS_PIF_-_Revised14_April_2014_0.docx