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Spatiotemporal shoreline dynamics of Marismas Nacionales, Pacific coast of Mexico, based on a remote sensing and GIS mapping approach

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Abstract

Within the last few decades, tropical coastal systems such as beaches, dunes, and mangrove forests have experienced high annual rates of loss worldwide due to natural and anthropogenic impacts. Historical remote sensing data have been used to map and monitor these fragile systems, as well as to track specific events through time. The purpose of this study was to examine coastal trends along Marismas Nacionales in Mexico, which is the largest wetland complex of the western coast of the Pacific Ocean. The opening of the Cuautla Canal in 1976 and the construction of several hydroelectric power dams have severely impacted this wetland system. Shoreline variability was estimated based on representative remote sensing images over half a century (1970 to 2019). Results indicate that, after 49 years, 805 ha of beach deposits have been lost in the Cuautla Canal and at the beach ridge region that should otherwise be an accretional coastal zone. Conversely, the southern section of the study site shows 406 ha of constant accretion during the same period due to the presence of the unobstructed San Pedro River. Our study highlights the adverse effects of engineering projects, such as inlets and hydroelectric dams throughout tropical coastal systems that have strongly depended on freshwater input from upstream rivers.

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References

  • Ahmed, N., & Glaser, M. (2016). Coastal aquaculture, mangrove deforestation and blue carbon emissions: is REDD+ a solution? Marine Pollution, 66, 58–66.

    Article  Google Scholar 

  • Bishop, M. J., Mayer-Pinto, M., Airoldi, L., Firth, L. B., Morris, R. L., Loke, L. H. L., et al. (2017). Effects of ocean sprawl on ecological connectivity: impacts and solutions. Journal of Experimental Marine Biology and Ecology, 492, 7–30.

    Article  Google Scholar 

  • Blanco y Correa, M., Flores-Verdugo, F., Ortiz-Pérez, M. A., de la Lanza-Espino, G., López-Portillo, J., & Valdez-Hernández, I. (2011). Diagnostico funcional de Marismas Nacionales. Nayarit, Mexico: Informe de los convenios de coordinación entre la Universidad Autónoma de Nayarit y la Comisión Nacional Forestal con el patrocinio del Gobierno del Reino Unido.

  • Boak, E. H., & Turner, I. L. (2005). Shoreline definition and detection: a review. Journal of Coastal Research, 21(4), 688–703.

    Article  Google Scholar 

  • Cruz-González, M. (2012). Variaciones estacionales en la línea de costa entre el Canal de Cuautla y el Estero de San Cristóbal, Nayarit. Dissertation: Universidad Nacional Autónoma de México.

    Google Scholar 

  • Curray, J. R., Emmel, P. J., & Crampton, P. J. S. (1969). Holocene history of a strand plain, lagoonal coast, Nayarit. Mexico. Simposio Internacional de Lagunas Costeras, 63–100.

  • De-la-Lanza-Espino, G., Carbajal-Pérez, J. L., Salinas-Rodríguez, S. A., & Barrios-Ordóñez, J. E. (2012). Medición del caudal ecológico del río Acaponeta, Nayari, comparando distintos intervalos de tiempo. Investigaciones Geográficas, Boletín del Instituto de Geografía, UNAM, 78, 62–74.

    Article  Google Scholar 

  • Evans, G. (1979). Quaternary transgressions and regressions. Journal of the Geological Society of London, 136, 125–132.

    Article  Google Scholar 

  • Ezcurra, E., Barrios, E., Ezcurra, P., Ezcurra, A., Vanderplank, S., Vidal, O., et al. (2019). A natural experiment reveals the impact of hydroelectric dams on the estuaries of tropical rivers. Science Advancements, 5, eaau9875.

  • Flores-Verdugo, F., González-Farías, F., Ramírez-Flores, O., Amezcua-Linares, F., Yáñez-Arancibia, A., Álvarez-Rubio, M., et al. (1990). Mangrove ecology, aquatic primary productivity, and fish community dynamics in the Teacapán-Agua Brava lagoon-estuarine system (Mexican Pacific). Estuaries, 13(2), 219–230.

    Article  Google Scholar 

  • Gens, R. (2010). Remote sensing of coastlines: detection, extraction and monitoring. International Journal of Remote Sensing, 31(7), 1819–1836.

    Article  Google Scholar 

  • Harik, G., Alameddine, I., Maroun, R., Rachid, G., Bruschi, D., Astiaso-Garcia, D., et al. (2017). Implications of adopting a biodiversity-based vulnerability index versus a shoreline environmental sensitivity index on management and policy planning along coastal areas. Journal of Environmental Management, 187, 187–200.

    Article  CAS  Google Scholar 

  • INEGI. (2016). Anuario estadístico y geográfico de Nayarit 2016. Ciudad de México, Mexico: Instituto Nacional de Estadística y Geografía.

    Google Scholar 

  • Inman, D. L., & Norstrom, C. E. (1971). On the tectonic and morphologic classification of coasts. Journal of Geology, 79(1), 1–21.

    Article  Google Scholar 

  • Jensen, J. R. (2005). Introductory digital image processing: a remote sensing perspective. Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  • Kim, J., Choi, J., Choi, C., & Hwang, C. (2017). Forecasting the potential effects of climatic and land-use changes on shoreline variation in relation to watershed sediment supply and transport. Journal of Coastal Research, 33(4), 874–888.

    Article  Google Scholar 

  • Kovacs, J. M., Wang, J., & Blanco-Correa, M. (2001). Mapping disturbances in a mangrove forest using multi-date Landsat TM imagery. Environmental Management, 27(5), 763–776.

  • Kovacs, J. M., Wang, J., & Flores-Verdugo, F. (2005). Mapping mangrove leaf area index at the species level using IKONOS and LAI-2000 sensors for the Agua Brava Lagoon, Mexican Pacific. Estuarine, Coastal and Shelf Science, 62, 377–384.

    Article  Google Scholar 

  • Kovacs, J. M., King, J. M. L., Flores-de-Santiago, F., & Flores-Verdugo, F. (2009). Evaluating the condition of a mangrove forest of the Mexican Pacific based on an estimated leaf area index mapping approach. Environmental, Monitoring and Assessment, 157, 137–149.

    Article  CAS  Google Scholar 

  • Leuven, J. R. F. W., Kleinhans, M. G., Weisscher, S. A. H., & van der Vegt, M. (2016). Tidal sand bar dimensions and shapes in estuaries. Earth-Science Reviews, 161, 204–223.

    Article  Google Scholar 

  • Maanan, M., Maanan, M., Rueff, H., Adouk, N., Zourarah, B., & Rhinane, H. (2018). Assess the human and environmental vulnerability for coastal hazard by using a multi-criteria decision analysis. Human and Ecological Risk Assessment, 24(6), 1642–1658.

    Article  CAS  Google Scholar 

  • Mahoney, P. C., & Bishop, M. J. (2017). Assessing risk of estuarine ecosystem collapse. Ocean and Coastal Management, 140, 46–58.

    Article  Google Scholar 

  • McLeman, R. (2018). Migration and displacement risks due to mean sea-level rise. Bulletin of the Atomic Scientists, 74(3), 148–154.

    Article  Google Scholar 

  • Moussaid, J., Fora, A. A., Zourarah, B., Maanan, M., & Maanan, M. (2015). Using automatic computation to analyze the rate f shoreline change on the Kenitra coast, Morocco. Ocean Engineering, 102, 71–77.

    Article  Google Scholar 

  • Nassar, K., Fath, H., Mahmod, W. E., Masria, A., Nadaoka, K., & Negm, A. (2018). Automatic detection of shoreline change: case of North Sinai coast, Egypt. Journal of Coastal Conservation, 22(6), 1057–1083.

    Article  Google Scholar 

  • Nel, R., Campbell, E. E., Harris, L., Hauser, L., Schoeman, D. S., McLachlan, A., et al. (2014). The status of sandy beach science: past trends, progress, and possible futures. Estuarine, Coastal and Shelf Science, 150, 1–10.

    Article  Google Scholar 

  • Ouyang, X., Lee, S. Y., & Connolly, R. M. (2017). The role of root decomposition in global mangrove and saltmarsh carbon budgets. Earth-Science Reviews, 166, 53–63.

    Article  CAS  Google Scholar 

  • Perkins, M. J., Ng, T. P. T., Dudgeon, D., Bonebrake, T. C., & Leung, K. M. Y. (2015). Conserving intertidal habitats: what is the potential of ecological engineering to mitigate impacts of coastal structures? Estuarine, Coastal and Shelf Science, 167, 504–515.

    Article  Google Scholar 

  • Powell, E. J., Tyrrell, M. C., Milliken, A., Tirpak, J. M., & Staudinger, M. D. (2019). A review of coastal management approaches to support the integration of ecological and human community planning for climate change. Journal of Coastal Conservation, 23(1), 1–17.

    Article  Google Scholar 

  • Rogers, K., Kelleway, J. J., Saintilan, N., Megonigal, J. P., Adams, J. B., Holmquist, J. R., Lu, M., Schile-Beers, L., Zawadzki, A., Mazumder, D., & Woodroffe, C. D. (2019). Wetland carbon storage controlled by millennial-scale variation in relative sea-level rise. Nature, 567, 91–95.

    Article  CAS  Google Scholar 

  • Rogers, K., & Woodroffe, C. D. (2016). Geomorphology as an indicator of the biophysical vulnerability of estuaries to coastal and flood hazards in a changing climate. Journal of Coastal Conservation, 20, 127–144.

    Article  Google Scholar 

  • Rollet, B. (1974). Introduction a l’étude des mangroves du Mexique. Bois et Forets des Tropiques, 156, 3–26.

    Google Scholar 

  • Román-Rivera, M. A., & Ellis, J. T. (2019). A synthetic review of remote sensing applications to detect nearshore bars. Marine Geology, 408, 144–153.

    Article  Google Scholar 

  • Serrano, D., Flores-Verdugo, F., Ramírez-Félix, E., Kovacs, J. M., & Flores-de-Santiago, F. (2019). Modeling tidal hydrodynamic changes induced by the opening of an artificial inlet within a subtropical mangrove dominated estuary. Wetlands Ecology, and Management., 1–16. https://doi.org/10.1007/s11273-019-09697-w.

  • Thieler, E. R., & Danforth, W. W. (1994). Historical shoreline mapping (II): application of the digital shoreline mapping and analysis systems (DSMS/DSAS) to shoreline change mapping in Puerto Rico. Journal of Coastal Research, 10(3), 600–620.

    Google Scholar 

  • Valderrama-Landeros, L., Flores-de-Santiago, F., Kovacs, J. M., & Flores-Verdugo, F. (2018). An assessment of commonly employed satellite-based remote sensors for mapping mangrove species in Mexico using an NDVI-based classification scheme. Environmental, Monitoring and Assessment, 190, 23.

    Article  Google Scholar 

  • Valderrama-Landeros, L., & Flores-de-Santiago, F. (2019). Assessing coastal erosion and accretion trends along two contrasting subtropical rivers based on remote sensing data. Ocean and Coastal Management, 169, 58–67.

    Article  Google Scholar 

  • Williams, A. T., Rangel-Buitrago, N., Pranzini, E., & Anfuso, G. (2018). The management of coastal erosion. Ocean and Coastal Management, 156, 4–20.

    Article  Google Scholar 

  • Wulder, M. A., White, J. C., Loveland, T. R., Woodcock, C. E., Belward, A. S., Cohen, W. B., et al. (2016). The global Landsat archive: status, consolidation, and direction. Remote Sensing of the Environment, 185, 271–283.

    Article  Google Scholar 

Download references

Acknowledgments

We express our gratitude to the Instituto Nacional de Estadística y Geografía (INEGI) and the ICA Foundation for providing the available air photographs. Guillermina Fehér edited the English text.

Funding

FFdS acknowledges financial support for this research through a grant provided by the Instituto de Ciencias del Mar y Limnología (ICML, UNAM, Mexico #622)

Author information

Authors and Affiliations

  1. Subcoordinación de Percepción Remota, Comisión Nacional Para el Conocimiento y Uso de la Biodiversidad (CONABIO), 4903 Liga Periférico-Insurgentes Sur, Tlalpan, 14010, Mexico, City, Mexico

    Luis Valderrama-Landeros

  2. Secretaria de Investigación y Posgrado, Universidad Autónoma de Nayarit, Boulevard Tepic-Xalisco 325, Ciudad de la Cultura, 63155, Tepic, Nayarit, Mexico

    Manuel Blanco y Correa

  3. Instituto de Ciencias del Mar y Limnología. Unidad Académica Mazatlán, Universidad Nacional Autónoma de México, Av. Joel Montes Camarena s/n, 82040, Mazatlán, Sinaloa, Mexico

    Francisco Flores-Verdugo

  4. Instituto de Ciencias del Mar y Limnología. Unidad de Informática Marina, Universidad Nacional Autónoma de México, CU, Av. Universidad 3000, Coyoacán, 04510, Mexico, City, Mexico

    León Felipe Álvarez-Sánchez

  5. Instituto de Ciencias del Mar y Limnología. Unidad Académica Procesos Oceánicos y Costeros, Universidad Nacional Autónoma de México, Av. Universidad 3000 CU, Coyoacán, 04510, Mexico, City, Mexico

    Francisco Flores-de-Santiago

Author notes

  1. Manuel Blanco Correa is deceased. This paper is dedicated to his memory.

    • Manuel Blanco y Correa
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  1. Luis Valderrama-Landeros
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  5. Francisco Flores-de-Santiago
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Correspondence to Francisco Flores-de-Santiago.

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Valderrama-Landeros, L., Blanco y Correa, M., Flores-Verdugo, F. et al. Spatiotemporal shoreline dynamics of Marismas Nacionales, Pacific coast of Mexico, based on a remote sensing and GIS mapping approach. Environ Monit Assess 192, 123 (2020). https://doi.org/10.1007/s10661-020-8094-8

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