Cited by 85Coral and Marine Ecosystems StudiesMarine Biology and Ecology ResearchCoastal and Marine Management

Using a citizen science program to monitor coral reef biodiversity through space and time

Branchini, Simone, Pensa, Francesco, Neri, Patrizia, Tonucci, Bianca Maria, Mattielli, Lisa, Collavo, Anna, Sillingardi, Maria Elena, Piccinetti, Corrado +2 more·2015·Biodiversity and Conservation

Abstract

Coral reefs are the most biodiverse ecosystems of the ocean and they provide notable ecosystem services. Large-scale monitoring is necessary to understand the effects of anthropogenic threats and environmental change on coral reef habitats and citizen science programs can support this effort. Seventy-two marine taxa found in the Red Sea were surveyed by non-specialist volunteers during their regular recreational dives, using SCUBA Tourism for the Environment (STE) questionnaires. Over a period of 4-years, 7,125 divers completed 17,905 questionnaires (14,487 diving hours). Validation trials were carried out to assess the data reliability (Cronbach’s alpha >50 % in 83.6 % of validation trials), showing that non-specialists performed similarly to conservation volunteer divers on accurate transect. The resulting sightings-based index showed that the biodiversity status did not change significantly within the project time scale, but revealed spatial trends across areas subjected to different protection strategies. Higher biodiversity values were found in Sharm el-Sheikh, within protected Ras Mohammed National Park and Tiran Island, than in the less-regulated Hurghada area. Citizen science programs like STEproject represent novel, reliable, cost-effective models for biodiversity monitoring, which can be sustained and embedded within long-term monitoring programmes, and extended to include a wider geographical scale, while increasing the environmental education of the public.

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Crossref · 10.1007/s10531-014-0810-7

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  • Citizen science can enable dataset collection at a scale impossible in individual studies.

    “Citizen science can also enable dataset collection at a scale impossible in individual studies [93,533,634,767].”

    From Tackling climate change with machine learning (2023) · cites this paper as [93]

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Authors
Branchini, S., Pensa, F., Neri, P., Tonucci, B. M., Mattielli, L., Collavo, A., Sillingardi, M. E., Piccinetti, C., Zaccanti, F., & Goffredo, S.
Affiliations
University of Bologna (IT)
Corresponding author
Goffredo, Stefano
Venue
Biodiversity and Conservation
Published
2014-10-07
Volume
24
Issue
2
Pages
319-336
ISSN
  • 0960-3115 (ISSN-L)
  • 1572-9710
OpenAlex
W2140487268
Cited by
85
References
47
Citations by year
2026: 7 · 2025: 22 · 2024: 7 · 2023: 6 · 2022: 9 · 2021: 12 · 2020: 3 · 2019: 8 · 2018: 2 · 2017: 4 · 2016: 3 · 2015: 2
FWCI
2.61
Type
journal article
Language
en
Open access
closed
Locations
  • Biodiversity and Conservation (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
Topics
  • Physical Sciences › Environmental Science › Ecology › Coral and Marine Ecosystems Studies
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Biology and Ecology Research
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Coastal and Marine Management
Keywords
coral reef biodiversity, citizen science, recreational diving, biodiversity monitoring, Red Sea, protected areas, marine protected areas, Hurghada, Sharm El-Sheikh, data reliability, long-term monitoring, environmental education

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