Spatio-temporal analysis of North African forest cover dynamics using time series of vegetation indices – case of the Maamora forest (Morocco)

  • S. Moukrim Mohammed V University of Rabat
  • A. Benabou Mohammed V University of Rabat
  • S. Lahssini National Forestry School of Engineering
  • A. Aafi National Forestry School of Engineering
  • A. Chkhichekh National Forestry School of Engineering
  • F. Moudden Moulay Ismail University
  • M. Ben Bammou Moulay Ismail University
  • A. El Aboudi Mohammed V University of Rabat
  • S. Laaribya Ibn Tofail University
Keywords: cork oak; cover trend; degradation; spatial variability.

Abstract

North African forest areas play several roles and functions and represent a heritage of great economic and ecological importance. As a result of global changes, that act independently or synergistically, these areas are currently undergoing a pronounced degradation and their productivity is decreasing due to several factors. This work aims to characterize spatio-temporal dynamics of vegetation within the Maamora forest. This forest is considered as the most extensive cork oak woodland in the world and is divided, from west to east, into five cantons A, B, C, D and E. The data, extracted between 2000–2021 from MODIS NDVI/EVI images of 250 m, were analyzed using statistical parameters with the Pettitt homogeneity and the Mann-Kendall trend tests, with their seasonal and spatial components, in order to better consider the vegetation distribution of this forest. Results show a clear temporal and spatial (inter-canton) variability of vegetation intensity, unrelated to the continental gradient. In fact, recorded mean values in cantons C and E are significantly higher than those of cantons B and D respectively. This is confirmed by both regressive and progressive trends, which were identified respectively from the months of March 2012 and October 2008, in the data series of cantons B and E successively. Spatially, the regressive dynamic remains generalized and affects more than 26.7% of the Maamora’s total area with extreme rates (46.1% and 14.0%) recorded respectively by the two aforementioned cantons. Similarly, all the stand types in canton B show the highest regressive rates, especially the cork oak regeneration strata (75.4%) and the bare lands (86.1%), which may explain the positive tendencies identified by the related series during the fall season. However, the cantons C and E record the lowest rates, respectively, for natural stands of cork oak and artificial plantations. These results highlight also the absence of a causal relationship between the contrasting vegetation dynamics of the Maamora and the climatic conditions, expressed here by the continental gradient. However, they do highlight the effects of other factors, particularly those of a technical nature.

References

Aafi, A., El Kadmiri, A. A., Benabid, A., & Rochdi, M. (2005). Richesse et diversité floristique de la suberaie de la Mamora (Maroc) [Richness and floristic diversity of the cork oak forest of Mamora (Morocco)]. Acta Botanica Malacitana, 30, 127–138.

Abdi, A. M., Boke-Olén, N., Jin, H., Eklundh, L., Tagesson, T., Lehsten, V., & Ardö, J. (2019). First assessment of the plant phenology index (PPI) for estimating gross primary productivity in African semi-arid ecosystems. International Journal of Applied Earth Observation and Geoinformation, 78, 249–260.

Achhal, A., Akabli, O., Barbero, M., Benabid, A., M’hirit, O., Peyre, C., Quezel, P., & Rivas-Martinez, S. (1979). About the bioclimatic and dynamic value of some forest species of Morocco. Ecologia Mediterranea, 5(1), 211–249.

Allan, R. P., Cassou, C., Chen, D., Cherchi, A., Connors, L., Doblas-Reyes, F. J., Douville, H., Driouech, F., Edwards, T. L., Fischer, E., Flato, G. M., Forster, P., AchutaRao, K. M., Adhikary, B., Aldrian, E., & Armour, K. (2021). Summary for policymakers. In: Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.

Bannari, A., Morin, D., Bonn, F., & Huete, A. R. (1995). A review of vegetation indices. Remote Sensing Reviews, 13, 95–120.

Belghazi, B., Badouzi, M., Belghazi, T., & Moujjani, S. (2011). Seedlings and plantations in the Maâmora cork oak forest (Morocco). Forêt Méditerranéenne, 32(3), 1–13.

Belghazi, B., Ezzahiri, M., Amhajar, M., & Benzyane, M. (2001). Régénération artificielle du chêne-liège dans la forêt de la Mâamora (Maroc) [Artificial regeneration of cork oak in the Mâamora forest (Morocco)]. Forêt Méditerranéenne, 22(3), 253–261.

Benabid, A. (1982). Bref aperçu sur la zonation altitudinale de la végétation climacique du Maroc [Brief overview of the altitudinal zonation of climatic vegetation in Morocco]. Ecologia Mediterranea, 8, 301–315.

Benabou, A., Moukrim, S., Laaribya, S., Aafi, A., Chkhichekh, A., Maadidi, T. E., & El Aboudi, A. (2022b). Mapping ecosystem services of forest stands: Case study of Maamora, Morocco. Geography, Environment, Sustainability, 15(1), 141–149.

Benabou, A., Moukrim, S., Lahssini, S., El Aboudi, A., Menzou, K., Elmalki, M., El Madihi, M., & Rhazi, L. (2022a). Impact of the climate change on potential distribution of Quercus suber in the conditions of North Africa. Biosystems Diversity, 30(3), 289–294.

Coumou, D., Robinson, A., & Rahmstorf, S. (2013). Global increase in record-breaking monthly-mean temperatures. Climatic Change, 118, 771–782.

Didan, K. (2015). MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250 m SIN Grid V006. NASA EOSDIS Land Processes DAAC.

Elmalki, M., Ichen, A., Aarab, M., Mounir, F., El Mderssa, M., Oularbi, Y., Tajdi, A., Moukrim, S., & Ouzzaouit, L. A. (2022). Impact of climate change on forest resources: Case of Quercus rotundifolia, Tetraclinis articulata, Juniperus phoenicea, J. oxycedrus, J. thurifera and Pinus halepensis. Biosystems Diversity, 30(3), 255–262.

Emberger, L. (1939). Project of a classification of climates from the phytogeographic point of view. Bulletin Société Histoire Naturelle de Toulouse, 97–124.

Fennane, M., & Ibn Tattou, M. (2012). Statistiques et commentaires sur l’inventaire actuel de la flore vasculaire du Maroc [Statistics and comments on the current inventory of the vascular flora of Morocco]. Bulletin de l’Institut Scientifique, Rabat, section Sciences de la Vie, 34(1), 1–9.

Hirsh, R., Slack, J., & Smith, R. (1982). Techniques of trend analysis for monthly water quality data. Water Resources Research, 18, 107–121.

Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83, 195–213.

Kendall, M. (1975). Rank correlation methods. 4th edition. Charles Griffin, London.

Laaribya, S. (2006). Il faut sauver la forêt de la Maâmora (Maroc) [Save the Maamora forest, Morocco]. Forêt Méditerranéenne, 27(1), 65–72.

Laaribya, S., Alaoui, A., Ayan, S., Benabou, A., Labbaci, A., Ouhaddou, H., & Bijou, M. (2021). Prediction by maximum entropy of potential habitat of the cork oak (Quercus suber L.) in Maamora Forest, Morocco. Forestist, 2021, 71, 63–69.

Laaribya, S., Alaoui, A., Gmira, N., & Gmira, N. (2014). Contribution a l’evaluation de la pression pastorale dans la forêt de la Maamora. Parcours forestiers et surpâturage [Contribution to the evaluation of the pastoral pressure in the forest of the Maamora forest. Forest rangelands and overgrazing]. Nature and Technology, (10), 39–50.

Lahssini, S., Lahlaoi, H., Alaoui, H. M., Bagaram, M., & Ponette, Q. (2015). Predicting cork oak suitability in Maamora forest using random forest algorithm. Journal of Geographic Information System, 7(2), 202–210.

Lehmann, J., Coumou, D., & Frieler, K. (2015). Increased record-breaking precipitation events under global warming. Climatic Change, 132, 501–515.

Lepoutre, B. (1965). Artificial regeneration of cork oak and climatic equilibrium of the subera in the Maâmora forest. Annales de la Recherche Forestière, 9, 1–86.

Maghnia, F. Z., Sanguin, H., Abbas, Y., Verdinelli, M., Kerdouh, B., El Ghachtouli, N., Lancellotti, E., Bakkali Yakhlef, S. E., & Duponnois, R. (2017). Impact du mode de gestion de la subéraie de la Maâmora (Maroc) sur la diversité des champignons ectomycorhiziens associés à Quercus suber [Impact of the management mode of the Maâmora subera (Morocco) on the diversity of ectomycorrhizal fungi associated with Quercus suber]. Comptes Rendus Biologies, 340(5), 298–305.

Mann, H. B. (1945). Non parametric tests against trend. Econometrica, 13, 245–259.

Meneses-Tovar, C. L. (2011). The standardized differential vegetation index as an indicator of degradation. Unasylva, 238(62), 39–46.

Mokhtari, N., Mrabet, R., Lebailly, P., & Bock, L. (2014). Spatialisation des bioclimats, de l’aridité et des étages de végétation du Maroc [Spatialization of bioclimates, aridity and vegetation stages of Morocco]. Revue Marocaine des Sciences Agronomiques et Vétérinaires, 2(1), 50–56.

Moukrim, S., Lahssini, S., Mharzi-Alaoui, H., Rifai, N., Arahou, M., & Rhazi, L. (2018). Modélisation de la distribution spatiale des espèces endémiques pour leur conservation: Cas de l’Argania spinosa (L.) Skeels [Modeling the spatial distribution of endemic species for their conservation: the case of Argania spinosa (L.) Skeels]. Revue d’Ecologie (Terre et Vie), 73(2), 153–166.

Moukrim, S., Lahssini, S., Naggar, M., Lahlaoi, H., Rifai, N., Arahou, M., & Rhazi, L. (2019). Local community involvement in forest rangeland management: Case study of compensation on forest area closed to grazing in Morocco. The Rangeland Journal, 41(1), 43–53.

Moukrim, S., Lahssini, S., Rhazi, M., Menzou, K., El Madihi, M., Rifai, N., Bouziani, Y., Azedou, A., Boukhris, I., & Rhazi, L. (2022). Climate change impact on potential distribution of an endemic species Abies marocana Trabut. Ekológia (Bratislava), 41(4), 329–339.

Moukrim, S., Lahssini, S., Rifai, N., Menzou, K., Mharzi-Alaoui, H., Labbaci, A., Rhazi, M., Wahby, I. W., El Madihi, M., & Rhazi, L. (2020). Modélisation de la distribution potentielle de Cedrus atlantica Manetti au Maroc et impacts du changement climatique [Modelling the potential distribution of Cedrus atlantica Manetti in Morocco and impacts of climate change]. Bois & Forêts des Tropiques, 344, 3–16.

Myers, N., Mittermeier, A. R., Mittermeier, C. G., Da Fonseca, G. A. B., & Kent, J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403, 853–858.

Natividade, J. V. (1956). Subericulture. Ecole Nationale des Eaux et Forêts. Nancy.

Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Applied Statistics, 28, 126–135.

Quézel, P., & Medail, F. (2003). Ecology and biogeography of Mediterranean forests. Elsevier, Paris.

Rifai, N., Khattabi, A., Moukrim, S., Arahou, M., & Rhazi, L. (2018). Évaluation de la dynamique de l’occupation du sol dans la zone humide Ramsar de Tahaddart (Nord-ouest du Maroc). Revue d’Ecologie, Terre et Vie, 73(2), 142–152.

Rogers, D. P., & Vladimir, V. T. (2013). Weather and climate resilience: Effective preparedness through national meteorological and hydrological services. Directions in Development, World Bank, Washington.

Rouse, W., & Haas, R. H. (1973). Monitoring vegetation systems in the great plains with erts. Remote Sensing Center, Texas A&M University, College Station, Texas, A20, 307–309.

Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association, 63, 1379–1389.

Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, B., & Midgley, M. (2013). Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge.

Varela, M. C., & Piazzetta, R. (2014). Méthodes de régénération du chêne-liège au Portugal [Regeneration methods for cork oak in Portugal]. Mediterranean Forest, 35(2), 101–108.

Zine El Abidine, A. Z. E., Bouderrah, M., Lamhamedi, M. S., Mounir, F., Jean, V. H. M. S., & Ponette, Q. (2020). Selection of reforestation species for the Maâmora forest (Morocco) based on juvenile plant drought tolerance. Physio-Geo. Physical Geography and Environment, 15, 133–160.

Published
2022-10-29
Section
Articles