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Mapping Potential Fishing Zones Using Remote Sensing Data and GIS: A Case Study of Moroccan Waters

  • Younes Oulad Sayad

Abstract

Fishing, if sustainably managed, plays a crucial role in providing jobs and feeding the world. However, the exploitation of potential fishery resources is still underutilized in the fishing industry. Fish catch in the Potential Fishing Zones (PFZs) is 3 to 4 times higher when compared to non-PFZ areas. Remote Sensing (RS) provides reliable data on oceanographic conditions and supports marine environmental monitoring and assessment. This research aims to highlight the efficiency of remotely sensed data and advanced satellite image processing techniques to determine PFZs using Geographic Information Systems (GIS). The study focuses on the distribution of chlorophyll-A (Chl-A), sea-surface temperature (SST), and Particulate Organic Carbon (POC) concentrations, using MODIS (Moderate Resolution Imaging Spectro radiometer) satellite imagery with are solution of 4km. The methodology was implemented in Moroccan waters as a case study from January to December 2021. The results indicate that the suspected PFZs are between September and December 2021, mostly found in the region of Dakhla Oued Eddahab in the south of Morocco. The results were compared to the fishing catches given by the Ministry of Agriculture, Maritime Fisheries, Rural Development, and Waters and Forests of Morocco (published on 12/09/2022).

References

  • Benjamin.P,Loots,C.Petitgas,P.Lindstrøm,U.Vaz,S.“Understanding what controls the spatial distribution of fish populations using a multi-model approach”, Fish Oceanogr.,Vol. 1 17, 2011.
  • A.M.Mustapha,Y.L.ChanandT.Lihan,“Mapping of Potential Fishing Grounds of Rastrelligerkanagurta(Cuvier, 1871)Using Satellite Images”, Map Asia2010 &ISG2010, KualaLumpur, 2010.
  • Zainuddin, M., “Skipjack tuna in relation to sea surface temperature and chlorophyll-a concentration of Bone Bay using remotely sensed satellite data”, Jurnal Ilmu dan Teknologi KelautanTropis, Vol. 3(1), 2011.
  • Solanki, H.U., Mankodi, P.C., Dwivedi, R.M. and Nayak, S.R., “Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration”, Hydrobiologia, Vol. 612, pp.269-279, 2008.
  • Radiarta, I.N. and Saitoh, S.I., “Satellite-derived measurements of spatial and temporal chlorophyll-a variability in Funka Bay, southwestern Hokkaido, Japan. Estuarine, Coastal and Shelf Science”, Vol. 79(3), pp.400-408, 2008.
  • Solanlki, H.U., Dwivedi, R.M., Nayak, S.R., Jadeja, J.V., Thakar, D.B., Dave, H.B. and Patel, M.I., “Application of Ocean Colour Monitor chlorophyll and AVHRR SST for fishery forecast: Preliminary validation results off Gujarat coast, northwest coast of India”, 2001.
  • Ishizaka, J., “Climate change and marine ecosystem”, International Archives of the Photogrammetry, Remote Sensing and Spacial Information Science, Vol. 37, pp.1-2, 2010.
  • Nurdin, S., Mustapha, M.A. and Lihan, T., “The relationship between sea surface temperature and chlorophyll- a concentration in fisheries aggregation area in the archipelagic waters of Spermonde using satellite images”, In AIP Conference Proceedings (Vol. 1571, No. 1, pp. 466-472), American Institute of Physics, 2013 November.
  • O’Reilly, J.E., Maritorena, S., Mitchell, B.G., Siegel, D.A., Carder, K.L., Garver, S.A., Kahru, M. and McClain, C., “Ocean color chlorophyll algorithms for SeaWiFS”, Journal of Geophysical Research: Oceans, Vol. 103(C11), pp.24937-24953, 1998.
  • Qin, H., Chen, G., Wang, W., Wang, D. and Zeng, L., “Validation and application of MODIS-derived SST in the South China Sea”, International journal of remote sensing, Vol. 35(11-12), pp.4315-4328, 2014.
  • Rintaka, W.E. and Susilo, E., “Validation of potential fishing zone forecast using experimental fishing method in Tolo Bay, Central Sulawesi Province”, In IOP Conference Series: Earth and Environmental Science (Vol. 137, No. 1, pp. 012041), IOP Publishing, April. 2018,
  • Muhammad, M., Priana, A.W., Affan, J.M., Haridhi, H.A., Irwan, I., Yuni, S.M. and Setiawan, I., “Mapping potential fishing zones based on sea surface temperature and Chlorophyll-A in the Waters of Aceh Besar, Indonesia”, In E3S Web of Conferences (Vol. 339, pp. 02002). EDP Sciences, 2022.
  • Ali, E.M., Zanaty, N. and Abou El-Magd, I., “Potential Efficiency of Earth Observation for Optimum Fishing Zone Detection of the Pelagic Sardinella aurita Species along the Mediterranean Coast of Egypt”, Fishes, Vol. 7(3), pp.97, 2022.
  • Syah, A.F., Saitoh, S.I., Alabia, I.D. and Hirawake, T., “Detection of potential fishing zone for Pacific saury (Cololabissaira) using generalized additive model and remotely sensed data”, In IOP Conference Series: Earth and Environmental Science (Vol. 54, No. 1, pp. 012074). IOP Publishing, 2017.
  • Solanki, H.U., Dwivedi, R.M., Nayak, S.R., Somvanshi, V.S., Gulati, D.K. and Pattnayak, S.K., “Fishery forecast using OCM chlorophyll concentration and AVHRR SST: validation results off Gujarat coast, India”, International Journal of Remote Sensing, Vol. 24(18), pp.3691-3699, 2003.
  • Syah, A.F., Ramdani, L.W. and Suniada, K.I., “Prediction of potential fishing zones for mackerel tuna (Euthynnussp) in Bali Strait using remotely sensed data”, In IOP Conference Series: Earth and Environmental Science (Vol. 500, No. 1, pp. 012070), IOP Publishing, 2020.
  • Bănaru, D., Mellon-Duval, C., Roos, D., Bigot, J.L., Souplet, A., Jadaud, A., Beaubrun, P. and Fromentin, J.M., “Trophic structure in the Gulf of Lions marine ecosystem (north-western Mediterranean Sea) and fishing impacts”, Journal of Marine Systems, Vol. 111, pp.45-68, 2013.
  • Fréon, P., Cury, P., Shannon, L. and Roy, C., “Sustainable exploitation of small pelagic fish stocks challenged by environmental and ecosystem changes: a review”, Bulletin of marine science, Vol. 76(2), pp.385-462, 2005.
  • Baali, A., Charouki, N., Manchih, K., Bessa, I., Elqoraychy, I., Elqendouci, M., Amenzoui, K. and Yahyaoui, A., “The relationship between Sardinella aurita landings and the environmental factors in Moroccan waters (21-26 N)”, Cybium, Vol. 43, pp.51-59, 2019.
  • Sayad, Y.O., Mousannif, H. and Al Moatassime, H., “Predictive modeling of wildfires: A new dataset and machine learning approach”, Fire SafetyJournal, Vol. 104, pp.130-146, 2019.
  • Haines, S.L., Jedlovec, G., Lazarus, S. and Calvert, C., P4. 24 “A MODIS SEA SURFACE TEMPERATURE COMPOSITE PRODUCT”.
  • Boyd, P.W., Claustre, H., Levy, M., Siegel, D.A., and Weber, T., “Multi-faceted particle pumps drive carbon sequestration in the ocean”, Nature, Vol. 568(7752), pp.327-335, 2019.
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DOI :

Author information

Affiliations

Innovation in Mathematics and Intelligent Systems Research Laboratory Faculty of Applied Sciences-AitMelloul, Ibn Zohr University, AitMelloul, Morocco. y.ouladsayad@uiz.ac.ma

Publisher Information

  • Received

    6 April

  • Revised

    1 May

  • Accepted

    8 May

Keywords
Remote Sensing; Potential Fishing Zones; MODIS; Satellite Image Processing; Chl-A; SST; POC

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