Spatial data and supporting information for a Philippines case study on social equity in marine systematic conservation planning
This dataset includes supporting information and spatial data for a Philippines case study on social equity in marine systematic conservation planning (SCP). The study focuses on three dimensions of social equity (recognition, procedure, and distribution) in relation to planning marine protected areas (MPAs) under a SCP framework. It documents how social equity dimensions can be addressed within the planning stages of SCP and compares three planning scenarios to investigate how recognition and procedure equity can impact MPA plans in terms of distribution equity, ecological representation, and spatial efficiency. The study region is located in Sogod Bay in Southern Leyte, Philippines and encompasses the coastal waters of six municipalities: Pintuyan, San Francisco, Liloan, Malitbog, Padre Burgos, and Limasawa. Biodiversity and fishery data were collected using remote sensing and participatory mapping methods, respectively. The data were integrated into the spatial prioritization tool, Marxan with Zones, to develop and compare three planning scenarios.
The supporting information file contains supplemental information on (1) biodiversity data and remote sensing analyses; (2) fishery data and participatory mapping workshops; (3) existing MPA system in the study region; and (4) Marxan with Zones analyses including (a) summary tables of the final Marxan with Zones analysis of each planning scenario, (b) input and output files of Marxan with Zones analyses by scenario, and (c) maps of Marxan with Zones outputs under the three scenarios.
The spatial data file includes SHP and KML files on (1) the administrative boundaries for (a) barangays/communities, (b) municipalities, and (c) municipal waters in the study region; (2) (a) the amount of each biodiversity feature in each planning unit, (b) the distribution of coastal habitats derived from a remote sensing analysis of three WorldView-2 images, (c) areas with cloud cover where habitat classes could not be derived from the remote sensing analysis; (d) mangrove data derived from secondary data sources; (3) the amount of each fishery feature in each planning unit at (a) a barangay/community scale and (b) a municipal scale; and (4) (a) the location and attribute information on existing MPAs in 2015, (b) planning units selected in the MPA zone of the “best” Marxan with Zones solution (lowest score of 100 runs) by scenario, and (c) planning unit selection frequencies for the MPA zone by scenario.
***Note*** Barangay/community names have been replaced with codes to maintain the confidentiality agreement of this study.
