1 / 10

Boljoon Pride Campaign Arbor and Granada MPAs

Boljoon Pride Campaign Arbor and Granada MPAs. BOLJOON RESULTS CHAIN. Target Audience: Arbor (N~803 community) and Granada (N~953 community) fishing community fishers and coastal dwellers Threat: Hook and line fishing inside the No Take Zone (NTZ) Behavior change:

genera
Download Presentation

Boljoon Pride Campaign Arbor and Granada MPAs

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Boljoon Pride Campaign Arbor and Granada MPAs

  2. BOLJOON RESULTS CHAIN Target Audience: Arbor (N~803 community) and Granada (N~953 community) fishing community fishers and coastal dwellers Threat: Hook and line fishing inside the No Take Zone (NTZ) Behavior change: Arbor and Granada fishers and coastal dwellers comply with MPA regulations and are contributing to MPA management through active membership in the management committee More reports of illegal fishing within the NTZ of the MPA are received by MPA managers and municipal police from Arbor and Granada fishing communities

  3. MILESTONES

  4. QUALITATIVE SURVEYS Interviews with key people • Municipal Agriculture Officer • Fisheries Technician • Chief of Police • Tourism Officer • 1 P.O. member fisher Still to do: • 1 fisher • 1 vendor

  5. PHOTO VOICE

  6. PHOTO VOICE

  7. UCINET • Software for Social network analysis • Created by Analytic Technologies in Harvard, MA., U.S.A. • Menu-driven Windows program created for researchers built for speed and not for comfort (fast algorithms to work with large data sets) • Online and free (sharing for better software development) • Data entered is matrix-centered and thus entered in matrices (graph data ~ nodes and vertices) • Some examples: • Directed graphs – points and arcs and their connections to represented relationships that are not necessarily reciprocal • Valued graphs – show the strength of particular relationships • Hypergraphs– Simply showing node subsets

More Related