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Assessing shoreline dynamics and beach use in a tropical beach: a citizen science-based approach using CoastSnap.

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Τίτλος: Assessing shoreline dynamics and beach use in a tropical beach: a citizen science-based approach using CoastSnap.
Συγγραφείς: Alonso-Hernández L; Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Sisal, Yucatán, 97355, México., Medellín G; Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Sisal, Yucatán, 97355, México. gmedellinm@iingen.unam.mx.; Laboratorio Nacional de Resiliencia Costera (LANRESC), Laboratorios Nacionales, SECIHTI, Sisal, Yucatán, 97355, México. gmedellinm@iingen.unam.mx., Torres-Freyermuth A; Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Sisal, Yucatán, 97355, México.; Laboratorio Nacional de Resiliencia Costera (LANRESC), Laboratorios Nacionales, SECIHTI, Sisal, Yucatán, 97355, México., González-Celis KC; Laboratorio Nacional de Resiliencia Costera (LANRESC), Laboratorios Nacionales, SECIHTI, Sisal, Yucatán, 97355, México.; Universidad del Mar, Puerto Ángel, Oaxaca, 70902, México.
Πηγή: Environmental monitoring and assessment [Environ Monit Assess] 2026 Sep 11; Vol. 198 (10). Date of Electronic Publication: 2026 Sep 11.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
Imprint Name(s): Publication: 1998- : Dordrecht : Springer
Original Publication: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981-
Ιατρικοί όροι (MeSH): Bathing Beaches*/statistics & numerical data , Environmental Monitoring*/methods , Citizen Science*, Mexico ; Seashore ; Humans ; Geographic Information Systems
Περίληψη: Coastal monitoring is a key to understanding the natural and human impacts on the coastal environment. This work investigates the capabilities and limitations of a citizen science-based approach to assess shoreline changes and beach usage on a tropical beach. The CoastSnap platform enables coastline monitoring based on the participation of coastal communities using smartphones. In May 2024, two CoastSnap stations were installed in a small coastal community (Sisal) located on a barrier island in the northern Yucatan Peninsula (Mexico). Image analysis for the 2024-2025 period shows strong participation, with an average of 1.46 snapshots per day. The images acquired by beachgoers allow for the analysis of shoreline changes, public perception, and beach use. Shoreline positions estimated from CoastSnap-derived images were validated with 23 beach surveys conducted fortnightly using a differential global positioning system. The analysis of images collected by beachgoers allowed for the characterization of shoreline changes (subseasonal and Hurricane Milton), with a high spatial and temporal resolution, on beaches located in the vicinity of a pier. Furthermore, image-derived data show that maximum beach occupancy occurs during the weekends of the holiday periods, regardless the season. A sentiment analysis of the user comments suggests an overall positive perception of this coastal site but also reveals concerns about beach litter pollution and increasing coastal development. These results demonstrate the great potential of this citizen science tool for the low-cost high-resolution (local scale) monitoring of coastal environments in tropical regions.
(© 2026. The Author(s).)
Competing Interests: Declarations. Competing interests: The authors declare no competing interests.
References: Sci Total Environ. 2023 Feb 25;861:160733. (PMID: 36481146)
Environ Monit Assess. 2022 Aug 19;194(10):689. (PMID: 35984535)
Sci Total Environ. 2020 Mar 1;706:135742. (PMID: 31791786)
Nat Methods. 2012 Jun 28;9(7):676-82. (PMID: 22743772)
Environ Monit Assess. 2011 May;176(1-4):273-91. (PMID: 20640506)
Cont Shelf Res. 2022 Aug 1;245:104794. (PMID: 35719127)
Sci Rep. 2021 Feb 16;11(1):3935. (PMID: 33594157)
Environ Monit Assess. 2025 Jul 21;197(8):936. (PMID: 40690030)
Sci Rep. 2018 Apr 27;8(1):6641. (PMID: 29703960)
Contributed Indexing: Keywords: Citizen science; CoastSnap; Coastal monitoring; Shoreline dynamics
Entry Date(s): Date Created: 20260911 Date Completed: 20260911 Latest Revision: 20260914
Update Code: 20260914
PubMed Central ID: PMC13569587
DOI: 10.1007/s10661-026-15886-x
PMID: 42726327
Βάση Δεδομένων: MEDLINE
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  – Url: https://dx.doi.org/doi:10.1007/s10661-026-15886-x
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  Data: Assessing shoreline dynamics and beach use in a tropical beach: a citizen science-based approach using CoastSnap.
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  Data: <searchLink fieldCode="AU" term="%22Alonso-Hernández+L%22">Alonso-Hernández L</searchLink>; Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Sisal, Yucatán, 97355, México.<br /><searchLink fieldCode="AU" term="%22Medellín+G%22">Medellín G</searchLink>; Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Sisal, Yucatán, 97355, México. gmedellinm@iingen.unam.mx.; Laboratorio Nacional de Resiliencia Costera (LANRESC), Laboratorios Nacionales, SECIHTI, Sisal, Yucatán, 97355, México. gmedellinm@iingen.unam.mx.<br /><searchLink fieldCode="AU" term="%22Torres-Freyermuth+A%22">Torres-Freyermuth A</searchLink>; Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Sisal, Yucatán, 97355, México.; Laboratorio Nacional de Resiliencia Costera (LANRESC), Laboratorios Nacionales, SECIHTI, Sisal, Yucatán, 97355, México.<br /><searchLink fieldCode="AU" term="%22González-Celis+KC%22">González-Celis KC</searchLink>; Laboratorio Nacional de Resiliencia Costera (LANRESC), Laboratorios Nacionales, SECIHTI, Sisal, Yucatán, 97355, México.; Universidad del Mar, Puerto Ángel, Oaxaca, 70902, México.
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  Data: Coastal monitoring is a key to understanding the natural and human impacts on the coastal environment. This work investigates the capabilities and limitations of a citizen science-based approach to assess shoreline changes and beach usage on a tropical beach. The CoastSnap platform enables coastline monitoring based on the participation of coastal communities using smartphones. In May 2024, two CoastSnap stations were installed in a small coastal community (Sisal) located on a barrier island in the northern Yucatan Peninsula (Mexico). Image analysis for the 2024-2025 period shows strong participation, with an average of 1.46 snapshots per day. The images acquired by beachgoers allow for the analysis of shoreline changes, public perception, and beach use. Shoreline positions estimated from CoastSnap-derived images were validated with 23 beach surveys conducted fortnightly using a differential global positioning system. The analysis of images collected by beachgoers allowed for the characterization of shoreline changes (subseasonal and Hurricane Milton), with a high spatial and temporal resolution, on beaches located in the vicinity of a pier. Furthermore, image-derived data show that maximum beach occupancy occurs during the weekends of the holiday periods, regardless the season. A sentiment analysis of the user comments suggests an overall positive perception of this coastal site but also reveals concerns about beach litter pollution and increasing coastal development. These results demonstrate the great potential of this citizen science tool for the low-cost high-resolution (local scale) monitoring of coastal environments in tropical regions.<br /> (© 2026. The Author(s).)
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  Data: Declarations. Competing interests: The authors declare no competing interests.
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  Data: Sci Total Environ. 2023 Feb 25;861:160733. (PMID: <searchLink fieldCode="PM" term="%2236481146%22">36481146)</searchLink><br />Environ Monit Assess. 2022 Aug 19;194(10):689. (PMID: <searchLink fieldCode="PM" term="%2235984535%22">35984535)</searchLink><br />Sci Total Environ. 2020 Mar 1;706:135742. (PMID: <searchLink fieldCode="PM" term="%2231791786%22">31791786)</searchLink><br />Nat Methods. 2012 Jun 28;9(7):676-82. (PMID: <searchLink fieldCode="PM" term="%2222743772%22">22743772)</searchLink><br />Environ Monit Assess. 2011 May;176(1-4):273-91. (PMID: <searchLink fieldCode="PM" term="%2220640506%22">20640506)</searchLink><br />Cont Shelf Res. 2022 Aug 1;245:104794. (PMID: <searchLink fieldCode="PM" term="%2235719127%22">35719127)</searchLink><br />Sci Rep. 2021 Feb 16;11(1):3935. (PMID: <searchLink fieldCode="PM" term="%2233594157%22">33594157)</searchLink><br />Environ Monit Assess. 2025 Jul 21;197(8):936. (PMID: <searchLink fieldCode="PM" term="%2240690030%22">40690030)</searchLink><br />Sci Rep. 2018 Apr 27;8(1):6641. (PMID: <searchLink fieldCode="PM" term="%2229703960%22">29703960)</searchLink>
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