Coastal ecological dynamics: monitoring vegetation changes in the Sfiha-Swani region (Morocco)
DOI: https://doi.org/10.3846/gac.2025.21038Abstract
This study examines the dynamics of vegetation cover in the coastal region of Al Hoceima, focusing on Sfiha and Swani beaches. It aims to understand changes in land cover categories, particularly the distribution and dynamics of vegetation cover. The research uses a comprehensive spatio-temporal analysis using advanced remote sensing technology and GIS.
The methodology uses four Landsat satellite images and four aerial photos from Google Earth from 2003 to 2021. It involves digital processing, radiometric and geometric corrections, and on-site ground visits to validate remote sensing data outcomes.
The study used land cover maps and Normalized Difference Vegetation Index (NDVI) maps to analyze changes in vegetation cover over the past 18 years. The maps revealed percentages of 21% (2003), 25% (2010), 33% (2015), and 15% (2021) of vegetation cover changes, indicating degradation in the study area.
The study reveals a significant decline in vegetation in the coastal region due to a combination of human and natural factors. This assessment is crucial for developing effective conservation and management strategies. The findings extend beyond Al Hoceima, providing insights for broader environmental conservation efforts, and highlighting the intricate relationship between human activities and environmental changes.
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remote sensing analysis, NDVI, GIS technology, vegetation dynamics, land cover mapping, spatiotemporal analysis, coastal managementHow to Cite
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References
Ahmad, N., & Pandey, P. (2018). Assessment and monitoring of land degradation using geospatial technology in Bathinda district, Punjab, India. Solid Earth, 9, 75–90. https://doi.org/10.5194/se-9-75-2018
Asrar, G., Fuchs, M., Kanemasu, E. T., & Hatfield, J. L. (1984). Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal, 76(2), 300–306. https://doi.org/10.2134/AGRONJ1984.00021962007600020029X
Baite, W., Boukdir, A., Zitouni, A., Dahbi, S. D., Mesmoudi, H., Elissami, A., Sabri, E., & Ikhmerdi, H. (2018). Diagnosis of the Ghiss Nekor aquifer in order to elaborate the aquifer contract. E3S Web of Conferences, 37, Article 01006. https://doi.org/10.1051/e3sconf/20183701006
Beeri, O., Phillips, R., Hendrickson, J., Frank, A. B., & Kronberg, S. (2007). Estimating forage quantity and quality using aerial hyperspectral imagery for northern mixed-grass prairie. Remote Sensing of Environment, 110(2), 216–225. https://doi.org/10.1016/J.RSE.2007.02.027
Benaissa, C., Bouhmadi, B., & Rossi, A. (2023). An assessment of the physicochemical, bacteriological quality of groundwater and the water quality index (WQI) used GIS in Ghis Nekor, Northern Morocco. Scientific African, 20, Article e01623. https://doi.org/10.1016/j.sciaf.2023.e01623
Benaissa, C., Bouhmadi, B., Rossi, A., & El Hammoudani, Y. (2020, March 11). Hydro-chemical and bacteriological Study of Some Sources of Groundwater in the GHIS-NEKOR and the BOKOYA Aquifers (AL HOCEIMA, Morocco). In Proceedings of International Conference Geo-IT and Water Resources 2020 (GEOIT4W2020) (pp. 1–5). ACM. https://doi.org/10.1145/3399205.3399221
Bennour, A. (2014). Contribution au recalage des images satellitaires de haute résolution pour le suivi à long terme des changements écologiques [Contribution to the recalibration of high-resolution satellite images for long-term monitoring of ecological changes] [Doctoral dissertation, Université Badji Mokhtar-Annaba]. https://biblio.univ-annaba.dz/wp-content/uploads/2015/11/these-Bennour-Akram.pdf
Bouhout, S., Haboubi, K., El Abdouni, A., El Hammoudani, Y., Haboubi, C., Dimane, F., Hanafi, I., & Elyoubi, M. S. (2023). Appraisal of groundwater quality status in the Ghiss-Nekor coastal plain. Journal of Ecological Engineering, 24(10), 57–66. https://doi.org/10.12911/22998993/169847
Bourjila, A., Dimane, F., Ghalit, M., Taher, M., Kamari, S., El Hammoudani, Y., Achoukhi, I., & Haboubi, K. (2023). Mapping the spatiotemporal evolution of seawater intrusion in the Moroccan coastal aquifer of Ghiss-Nekor using GIS-based modeling. Water Cycle, 4, 104–119. https://doi.org/10.1016/j.watcyc.2023.05.002
Bourjila, A., Dimane, F., Nouayti, N., Taher, M., & El Ouarghi, H. (2020). Use of GIS, remote sensing and AHP techniques to delineate groundwater potential zones in the Nekor Basin, Central Rif of Morocco. In Proceedings of International Conference Geo-IT and Water Resources 2020 (GEOIT4W-2020) (pp. 1–7). ACM. https://doi.org/10.1145/3399205.3399219
Committee on Global Change Research. (1999). Global environmental change, research pathways for the next decade. National Academies Press. https://doi.org/10.17226/5992
Crawford, R. M. M. (2009). The biology of coastal sand dunes. Annals of Botany, 104(2), 6–7. https://doi.org/10.1093/aob/mcp136
Chapman, M. G., & Underwood, A. J. (2009). Comparative effects of urbanisation in marine and terrestrial habitats. In M. J. McDonnell, A. K. Hahs, & J. H. Breuste (Eds.), Ecology of cities and towns: A comparative approach (pp. 51–70). Cambridge University Press. https://doi.org/10.1017/CBO9780511609763.005
El Yousfi, Y., Himi, M., Aqnouy, M., Benyoussef, S., Gueddari, H., Lamine, I., El Ouarghi, H., Alali, A., Ait Hmeid, H., Chahban, M., Alitane, A., Elaaraj, A., Abdelrahman, K., Abu-Alam, T., Ait Boughrous, A., Khafouri, A., & Abioui, M. (2023). Pollution vulnerability of the Ghiss Nekkor alluvial aquifer in Al-Hoceima (Morocco), using GIS-based DRASTIC model. International Journal of Environmental Research and Public Health, 20(6), Article 4992. https://doi.org/10.3390/ijerph20064992
Er‐Ramy, N., Nachite, D., Anfuso, G., & Williams, A. T. (2022). Coastal scenic quality assessment of Moroccan Mediterranean beaches: A tool for proper management. Water, 14(12), Article 1837. https://doi.org/10.3390/w14121837
Foody, G. M. (2002). Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1), 185–201. https://doi.org/10.1016/S0034-4257(01)00295-4
Girard, M.-C., & Girard, C.-M. (1999). Traitement des données de télédétection [Processing of remote sensing data]. Dunod.
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
Gouveia, C. M., Trigo, R. M., Beguería, S., & Vicente-Serrano, S. M. (2017). Drought impacts on vegetation activity in the Mediterranean region: An assessment using remote sensing data and multi-scale drought indicators. Global and Planetary Change, 151, 15–27. https://doi.org/10.1016/j.gloplacha.2016.06.011
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., & Townshend, J. R. G. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850–853. https://doi.org/10.1126/science.1244693
Huang, S., Tang, L., Hupy, J. P., Wang, Y., & Shao, G. (2021). A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forestry Research, 32, 1–6. https://doi.org/10.1007/s11676-020-01155-1
Infoclimat. (n.d.). Climatologie globale à Al Hoceima [Global climatology in Al Hoceima]. https://www.infoclimat.fr/climatologie/globale/al-hoceima/60107.html
Infos Tourisme Maroc. (n.d.). Plage Souani. https://www.infostourismemaroc.com/monument/plage-souani-al-hoceima-maroc
Jackson, H., & Prince, S. D. (2016). Degradation of net primary production in a semiarid rangeland. Biogeosciences, 13(16), 4721–4734. https://doi.org/10.5194/BG-13-4721-2016
Jaouda, I., Akhssas, A., Ouadif, L., Bahi, L., Elkasri, J., Souidi, H., & Soussi, H. (2020). Study of soil erosion risks using remote sensing in Ouergha River watershed (Morocco). E3S Web of Conferences, 150, Article 03012. https://doi.org/10.1051/e3sconf/202015003012
Joe-Ikechebelu Ngozi, N., Akanwa Angela, O., Akanwa Chimezie, D., Okafor Kenebechukwu, J., Dike, K., Idakwo Victor, I.-O., Omoruyi Fredrick, A., Nkwocha Kelechi, F., Enwereuzo Angela, C., Umeh Uche, M., Ogbuehi Emmanuel, O., & Agu Helen, O. (2023). Deforestation activities in Ezekoro forest: Implications for climate change risks in Anambra state, Southeast Nigeria. In Land and environmental management through forestry (pp. 47–75). Wiley. https://doi.org/10.1002/9781119910527.ch3
Ley, C. V. de S., Gallego, J. B. F., & Vidal, C. P. (2007). Manual de restauración de dunas costeras [Coastal dune restoration manual] (Vol. 258). Ministerio de Medio Ambiente, Dirección General de Costas.
Martins, M. C., Neto, C. S., & Costa, J. C. (2013). The meaning of mainland Portugal beaches and dunes’ psammophilic plant communities: A contribution to tourism management and nature conservation. Journal of Coastal Conservation, 17(3), 279–299. https://doi.org/10.1007/S11852-013-0232-9
Msanda, F., Mayad, E. H., & Furze, J. N. (2021). Floristic biodiversity, biogeographical significance, and importance of Morocco’s Arganeraie Biosphere Reserve. Environmental Science and Pollution Research, 28, 64156–64165. https://doi.org/10.1007/s11356-020-11936-0
Mouddou, A. (2003). NDVI and land use maps of the Sfiha-Swani area [Unpublished maps]. Created using ArcMap.
Mouddou, A. (2010). NDVI and land use maps of the Sfiha-Swani area [Unpublished maps]. Created using ArcMap.
Mouddou, A. (2015). NDVI and land use maps of the Sfiha-Swani area [Unpublished maps]. Created using ArcMap.
Mouddou, A. (2021). NDVI and land use maps of the Sfiha-Swani area [Unpublished maps]. Created using ArcMap.
Patra, S., Kumar, A., & Saikia, P. (2022). Deforestation and forests degradation impacts on livelihood security and climate change: Indian initiatives towards its mitigation. In V. P. Singh, S. Yadav, K. K. Yadav, & R. N. Yadava (Eds.), Water Science and Technology Library: Vol. 104. Environmental degradation: Challenges and strategies for mitigation (pp. 371–392). Springer. https://doi.org/10.1007/978-3-030-95542-7_18
Rayne, L., Brandolini, F., Makovics, J. L., Hayes-Rich, E., Levy, J., Irvine, H., Assi, L., & Bokbot, Y. (2023). Detecting desertification in the ancient oases of southern Morocco. Scientific Reports, 13(1), Article 19424. https://doi.org/10.1038/s41598-023-46319-1
Rouse, R. W., Jr., Haas, R. H., Schell, J. A., & Deering, D. W. (1974). Monitoring vegetation systems in the great plains with ERTS (Report No. Paper A 20). https://ntrs.nasa.gov/citations/19740022614
Salhi, A., El Messari, S., Benabdelouahab, S., Draoui, M., Himi, M., & Casas, A. (2011). Sustainable management of an aquifer under arid conditions (Ghis-Nekor aquifer, Al Hoceima, Morocco) [Conference presentation]. 2nd Euro-Mediterranean Conference for Environmental Integration, Spain. https://doi.org/10.13140/RG.2.2.14847.43681/1
Schroeder, T. A., Cohen, W. B., Song, C., Canty, M. J., & Yang, Z. (2006). Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon. Remote Sensing of Environment, 103(1), 16–26. https://doi.org/10.1016/j.rse.2006.03.008
Sellers, P. J. (1987). Canopy reflectance, photosynthesis, and transpiration, II. The role of biophysics in the linearity of their interdependence. Remote Sensing of Environment, 21(2), 143–183. https://doi.org/10.1016/0034-4257(87)90051-4
Shilky, Patra, S., Ekka, P., Kumar, A., Saikia, P., & Khan, M. L. (2023). Climate change: A major challenge to biodiversity conservation, ecological services, and sustainable development. The Palgrave handbook of socio-ecological resilience in the face of climate change (pp. 577–592). Palgrave Macmillan. https://doi.org/10.1007/978-981-99-2206-2_33
Taher, M., Mourabit, T., El Talibi, H., Etebaai, I., Bourjila, A., Errahmouni, A., & Lamgharbaj, M. (2022). The risk mapping of coastal flooding areas due to tsunami wave run-up using DAS model and its impact on Nekor Bay (Morocco). Ecological Engineering and Environmental Technology, 23(4), 136–148. https://doi.org/10.12912/27197050/150310
Tayyebi, A., Delavar, M. R., Saeedi, S., Amini, J., & Alinia, H. (2008). Monitoring land use change by multi-temporal Landsat remote sensing imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII, 1037–1042. https://doi.org/10.13140/2.1.2736.3204
Thompson, L. M. C., & Schlacher, T. A. (2008). Physical damage to coastal dunes and ecological impacts caused by vehicle tracks associated with beach camping on sandy shores: A case study from Fraser Island, Australia. Journal of Coastal Conservation, 12(2), 67–82. https://doi.org/10.1007/S11852-008-0032-9
Tomlinson, R. (2007). Thinking about GIS: Geographic information system planning for managers. ESRI Press.
Turner, W., Rondinini, C., Pettorelli, N., Mora, B., Leidner, A. K., Szantoi, Z., Buchanan, G., Dech, S., Dwyer, J., Herold, M., Koh, L. P., Leimgruber, P., Taubenboeck, H., Wegmann, M., Wikelski, M., & Woodcock, C. (2015). Free and open-access satellite data are key to biodiversity conservation. Biological Conservation, 182, 173–176. https://doi.org/10.1016/J.BIOCON.2014.11.048
Xiao, X., Zhang, Q., Braswell, B., Urbanski, S., Boles, S., Wofsy, S., Moore, B., & Ojima, D. (2004). Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sensing of Environment, 91(2), 256–270. https://doi.org/10.1016/j.rse.2004.03.010
Xie, Y., Sha, Z., & Yu, M. (2008). Remote sensing imagery in vegetation mapping: A review. Journal of Plant Ecology, 1(1), 9–23. https://doi.org/10.1093/jpe/rtm005
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