Mapping ecosystem services based on citizen science for integrated coastal zone management in the Solomon Islands

  • Cholho Song
  • , Chul Hee Lim*
  • , Hyun Ah Choi
  • , Whijin Kim
  • , Donguk Han
  • , Mary Tahu Paia
  • , Hyeon Kwon Ahn
  • , Sangin Kang
  • , Woo Kyun Lee
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The Solomon Islands requested technical assistance from the Climate Technology Centre and Network (CTCN) to plan Integrated Coastal Zone Management (ICZM). Mangrove ecosystems, which connect terrestrial and ocean ecosystems in the coastal zone, are considered key management targets within ICZM in the Solomon Islands. However, limited spatial data resources for ecological planning of mangrove ecosystems pose a significant challenge to developing effective ICZM. A citizen science approach was employed to map mangrove distribution and related ecosystem services to address this limitation. This study organized a participatory workshop to collect local knowledge about mangrove distribution, which was then compared with established global mangrove distribution datasets. The local knowledge obtained through citizen science was digitized and converted into a hexagonal spatial framework to develop a decision-support map. Each hexagon was assigned a score from 1 to 3 based on the overlap between local and global data, reflecting mangrove density and the priority of ecosystem services. Out of 17,743 hexagons, 1283 were identified as areas with mangrove distribution and ecosystem services, with 363, 569, and 351 hexagons assigned scores of 1, 2, and 3, respectively. The highest-priority areas (score 3), characterized by dense mangrove presence and essential ecosystem services, were primarily located along the coasts of Malaita and Guadalcanal, suggesting their significance for ICZM planning. This study highlights the value of citizen science in supporting ICZM, particularly in data-scarce regions. It demonstrates how integrating local perspectives with global datasets can contribute to more effective and inclusive coastal management in the Solomon Islands.

Original languageEnglish
Article number103142
JournalEcological Informatics
Volume88
DOIs
Publication statusPublished - 2025 Sept

Bibliographical note

Publisher Copyright:
© 2025 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Citizen science
  • Integrated Coastal Zone Management planning
  • Mangrove ecosystem
  • Priority mapping
  • Solomon Islands

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Modelling and Simulation
  • Ecology
  • Ecological Modelling
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Applied Mathematics

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