METT Targets achieved. framework can be enforced where internal control does not apply (e.g. external squatters); Capacity to assess seascapes currently exists. LD-2: Outcome 2.2 Increased Management of No Private managed Two private forest Concession documents Risks: (i) ; Improved dryland forest dryland forest. concessions in NE Coast concessions established Assumptions: (i) management area and managed LD Portfolio Monitoring LD Portfolio Monitoring and Tracking Tool (PMAT) LD-2: Outcome 2.4 and Tracking Tool (PMAT) Degradation of dry forest 20% increase in scores at Mid Term and Final Increased investments in is caused by relating to the LD SFM dryland forest Portfolio Monitoring and ecosystems . Tracking Tool (PMAT) Five fragmented Forest SFM/REDD 1: Outcome (i) Conservation of forests 1,157 hectares forest Technical reports Risks: (i) ; Reserves plus three 1.2: Good management (ii) Avoided deforestation lands restored Assumptions: (ii) No Protected Areas practices applied in in and forest degradation SFM Tracking Tool Mid major natural disaster (mangroves) totaling 1664 existing forests Additional 200 hectares Term and Final (hurricane, wildfire) ha and ca 3000 ha of SFM Tracking Tool forest lands under upsets nominally protected sustainable management implementation and forests with lack of active forest regeneration; (i) management Adequate community buy-in and internal 250 ha of government control mechanisms owned forest reserve are created; (iii) managed Improved regulatory framework can be enforced where internal control does not apply (e.g. external squatters)
METT Targets achieved. framework can be enforced where internal control does not apply (e.g. external squatters); Capacity to assess seascapes currently exists. LD-2: Outcome 2.2 Improved dryland forest management Increased Management of dryland forest. LD Portfolio Monitoring and Tracking Tool (PMAT) No Private managed concessions in NE Coast area Degradation of dry forest is caused by Two private forest concessions established and managed 20% increase in scores relating to the LD Portfolio Monitoring and Tracking Tool (PMAT) Concession documents LD Portfolio Monitoring and Tracking Tool (PMAT) at Mid Term and Final Risks: (i) ; Assumptions: (i) LD-2: Outcome 2.4 Increased investments in SFM dryland forest ecosystems . SFM/REDD 1: Outcome 1.2: Good management practices applied in in existing forests (i) Conservation of forests (ii) Avoided deforestation and forest degradation SFM Tracking Tool Five fragmented Forest Reserves plus three Protected Areas (mangroves) totaling 1664 ha and ca 3000 ha of nominally protected forests with lack of active management 250 ha of government owned forest reserve managed 1,157 hectares forest lands restored Additional 200 hectares forest lands under sustainable management Technical reports SFM Tracking Tool Mid Term and Final Risks: (i) ; Assumptions: (ii) No major natural disaster (hurricane, wildfire) upsets implementation and forest regeneration; (i) Adequate community buy-in and internal control mechanisms are created; (iii) Improved regulatory framework can be enforced where internal control does not apply (e.g. external squatters)