Reliable Data From Community‐Based Citizen Science for Coastal Biodiversity Research in the Taoyuan Algal Reef, Taiwan
ABSTRACT Citizen science is a valuable tool for large‐scale ecological research, and community‐based approaches enhance scientific data while fostering environmental awareness among local residents. In 2021, the Taoyuan Algal Reef in Taiwan became a national focus during a referendum, yet public und...
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Published in | Aquatic conservation Vol. 35; no. 4 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Wiley Subscription Services, Inc
01.04.2025
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Abstract | ABSTRACT
Citizen science is a valuable tool for large‐scale ecological research, and community‐based approaches enhance scientific data while fostering environmental awareness among local residents. In 2021, the Taoyuan Algal Reef in Taiwan became a national focus during a referendum, yet public understanding of its ecology remained limited. To bridge this gap, we partnered with nearby residents to conduct a coastal habitat survey using a simple, standardized data collection method. Participants received training, and even after our team concluded the project, locals continued monitoring independently using the same method. To verify the reliability of data collected with and without scientific supervision, we compared the datasets statistically using coefficients of variation. Results showed no significant differences, demonstrating that independently collected data were reliable. This enabled us to combine the datasets for further biodiversity analysis, examining organism abundance, species richness, and the Shannon index. Findings revealed that pebble habitats had the highest Shannon index, whereas sand habitats exhibited the lowest values for abundance, richness, and diversity. Organism abundance peaked in the mid tide zone, with summer and autumn showing the highest abundance, richness, and Shannon index values. Using species accumulation curves with twice the sample size, we predicted richness and Shannon index across habitats, tidal zones, and seasons. Predictions largely aligned with quadrat‐scale findings, except that the sand habitat's predicted richness and diversity exceeded those of the algal reef habitat. Our research provides reliable, citizen science‐based insights to deepen understanding of this region, which has been a focal point of debate in Taiwan. |
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AbstractList | Citizen science is a valuable tool for large‐scale ecological research, and community‐based approaches enhance scientific data while fostering environmental awareness among local residents. In 2021, the Taoyuan Algal Reef in Taiwan became a national focus during a referendum, yet public understanding of its ecology remained limited. To bridge this gap, we partnered with nearby residents to conduct a coastal habitat survey using a simple, standardized data collection method. Participants received training, and even after our team concluded the project, locals continued monitoring independently using the same method. To verify the reliability of data collected with and without scientific supervision, we compared the datasets statistically using coefficients of variation. Results showed no significant differences, demonstrating that independently collected data were reliable. This enabled us to combine the datasets for further biodiversity analysis, examining organism abundance, species richness, and the Shannon index. Findings revealed that pebble habitats had the highest Shannon index, whereas sand habitats exhibited the lowest values for abundance, richness, and diversity. Organism abundance peaked in the mid tide zone, with summer and autumn showing the highest abundance, richness, and Shannon index values. Using species accumulation curves with twice the sample size, we predicted richness and Shannon index across habitats, tidal zones, and seasons. Predictions largely aligned with quadrat‐scale findings, except that the sand habitat's predicted richness and diversity exceeded those of the algal reef habitat. Our research provides reliable, citizen science‐based insights to deepen understanding of this region, which has been a focal point of debate in Taiwan. ABSTRACT Citizen science is a valuable tool for large‐scale ecological research, and community‐based approaches enhance scientific data while fostering environmental awareness among local residents. In 2021, the Taoyuan Algal Reef in Taiwan became a national focus during a referendum, yet public understanding of its ecology remained limited. To bridge this gap, we partnered with nearby residents to conduct a coastal habitat survey using a simple, standardized data collection method. Participants received training, and even after our team concluded the project, locals continued monitoring independently using the same method. To verify the reliability of data collected with and without scientific supervision, we compared the datasets statistically using coefficients of variation. Results showed no significant differences, demonstrating that independently collected data were reliable. This enabled us to combine the datasets for further biodiversity analysis, examining organism abundance, species richness, and the Shannon index. Findings revealed that pebble habitats had the highest Shannon index, whereas sand habitats exhibited the lowest values for abundance, richness, and diversity. Organism abundance peaked in the mid tide zone, with summer and autumn showing the highest abundance, richness, and Shannon index values. Using species accumulation curves with twice the sample size, we predicted richness and Shannon index across habitats, tidal zones, and seasons. Predictions largely aligned with quadrat‐scale findings, except that the sand habitat's predicted richness and diversity exceeded those of the algal reef habitat. Our research provides reliable, citizen science‐based insights to deepen understanding of this region, which has been a focal point of debate in Taiwan. |
Author | Hsu, Chia‐Hsuan Yeh, Liang‐Yu Chang, Yuan‐Mou Hsieh, Hwey‐Lian Chen, Chang‐Po Kang, Jiefeng Lin, Hsing‐Juh |
Author_xml | – sequence: 1 givenname: Chia‐Hsuan orcidid: 0000-0002-5128-5902 surname: Hsu fullname: Hsu, Chia‐Hsuan email: johnson20535@hotmail.com organization: National Institute for Environmental Studies – sequence: 2 givenname: Jiefeng surname: Kang fullname: Kang, Jiefeng organization: Sophia University – sequence: 3 givenname: Yuan‐Mou surname: Chang fullname: Chang, Yuan‐Mou organization: National University of Tainan – sequence: 4 givenname: Liang‐Yu surname: Yeh fullname: Yeh, Liang‐Yu organization: National Sun Yat‐sen University – sequence: 5 givenname: Chang‐Po surname: Chen fullname: Chen, Chang‐Po organization: Academia Sinica – sequence: 6 givenname: Hwey‐Lian surname: Hsieh fullname: Hsieh, Hwey‐Lian organization: Academia Sinica – sequence: 7 givenname: Hsing‐Juh orcidid: 0000-0001-8322-7195 surname: Lin fullname: Lin, Hsing‐Juh organization: National Chung Hsing University |
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Citizen science is a valuable tool for large‐scale ecological research, and community‐based approaches enhance scientific data while fostering... Citizen science is a valuable tool for large‐scale ecological research, and community‐based approaches enhance scientific data while fostering environmental... |
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SubjectTerms | Abundance Algae algal reef autumn Biodiversity citizen science Coastal ecology coastal habitat coefficients of variation community Data collection Datasets Ecological research Environmental awareness freshwater Habitats Pebbles Predictions Reefs sample size Sand species Species richness summer surveys Taiwan |
Title | Reliable Data From Community‐Based Citizen Science for Coastal Biodiversity Research in the Taoyuan Algal Reef, Taiwan |
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