全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

Site Suitability Analysis for Cork Oak Regeneration Using GIS Based Multicriteria Evaluation Techniques in Maamora Forest-Morocco

DOI: 10.4236/oalib.1102483, PP. 1-9

Subject Areas: Ecosystem Science, Environmental Sciences

Keywords: Fuzzy Logic, Analytic Hierarchy Process (AHP), Weighted Linear Combination (WLC), Spatial Analysis, Maamora

Full-Text   Cite this paper   Add to My Lib

Abstract

Following the assumption that some soils are less suitable for the development of cork oak, a substitution of cork oak by exotic species has been carried out on a large part of Maamora forest. However, soil is not the only factor to consider in assessing the suitability. Therefore, some areas might just suit to cork oak but to what extent? To answer this question, major factors known to influence the regeneration of cork oak have been identified and mapped using multicriteria evaluation. Therefore, factors were incorporated by weighted linear combination to determine suitability indices for the regeneration of cork oak. The weight of each factor was estimated by expert judgment using the AHP (Analytic Hierarchy Process) approach. The main factors influencing the cork oak regeneration suitability in Maamora forest are climate expressed by “continentality”, terrainslope, thickness of the sand, slope of the clay floor layer, and plant communities and soil types. These factors were mapped by incorporating fuzzy logic in order to avoid crisp classes and ensure a smooth transition between the preference and indifference. This allowed then to integrate uncertainty in the knowledge of the exact class limits. Finally, four classes of regeneration suitability were obtained. These classes are good, medium, low and very low suitability and which represent 17.40%, 40.18%, 34.84% and 4.28% of the forest area respectively.

Cite this paper

Bagaram, B. M. , Mounir, F. , Lahssini, S. and Ponette, Q. (2016). Site Suitability Analysis for Cork Oak Regeneration Using GIS Based Multicriteria Evaluation Techniques in Maamora Forest-Morocco. Open Access Library Journal, 3, e2483. doi: http://dx.doi.org/10.4236/oalib.1102483.

References

[1]  HCEFLCD (2011) Aménagement proposé, PV d’aménagement de la forêt de la Maamora, Rabat.
[2]  Benzyane, M. (1996) L’aménagement forestier: Concept et évolution. Le grand livre de la forêt marocaine. Mardaga, 126-144.
[3]  Mounir, F. (2002) Conception d’un système d’information géographique pour l’aménagement et la gestion forestière au Maroc; Intégration des critères et indicateurs du dévelopement durable; Application à la forêt de la Maamora. Thèse de Doctorat, UCL, Belgique.
[4]  Collins, M.G., Steiner, F.R. and Rushman, M.J. (2001) Land-Use Suitability Analysis in the United States: Historical Development and Promising Technological Achievements. Environmental Management, 28, 611-621.
http://dx.doi.org/10.1007/s002670010247
[5]  Shepherd, K.R. (1986) Plantation Sylviculture. Kluwer Academic Publishers, 322 p.
http://dx.doi.org/10.1007/978-94-009-4446-6
[6]  Skovsgaard, J.P. and Vanclay, J.K. (2008) Forest Site Productivity: A Review of the Evolution of Dendrometric Concepts for Even-Aged Stands. Forestry, 81, 13-31.
http://dx.doi.org/10.1093/forestry/cpm041
[7]  Hijmans, R.J. and Graham, C.H. (2006) The Ability of Climate Envelope Models to Predict the Effect of Climate Change on Species Distributions. Global Change Biologie, 12, 2272-2281.
http://dx.doi.org/10.1111/j.1365-2486.2006.01256.x
[8]  Pearson, R.G., Thuiller, W., Araújo, M.B., Martinez-Meyer, E., Brotons, L., Miles, L., Segurado, P., Dawson, T.P. and Lees, D.C. (2006) Model-Based Uncertainty in Species Range Prediction. Journal of Biogeographie, 33, 1704-1711.
http://dx.doi.org/10.1111/j.1365-2699.2006.01460.x
[9]  West, P. (2014) Growing Plantation Forests. Springer.
http://dx.doi.org/10.1007/978-3-319-01827-0
[10]  Weiskittel, A.R., Hann, D.W., Kershaw, J.J.A. and Vanclay, J.K. (2011) Forest Growth and Yield Modeling. John Wiley and Sons.
http://dx.doi.org/10.1002/9781119998518
[11]  Zhang, J., Su, Y., Wu, J. and Liang, H. (2015) GIS Based Land Suitability Assessment for Tobacco Production Using AHP and Fuzzy Set in Shandong Province of China. Computers and Electronics in Agriculture, 114, 202-211.
http://dx.doi.org/10.1016/j.compag.2015.04.004
[12]  Akinci, H., Ozalp, A.Y. and Turgut, B. (2013) Agricultural Land Use Suitability Analysis Using GIS and AHP Technique. Computers and Electronics in Agriculture, 97, 71-82.
http://dx.doi.org/10.1016/j.compag.2013.07.006
[13]  Elsheikh, R., Mohamed Shariff, A.R.B., Amiri, F., Ahmad, N.B., Balasundram, S.K. and Soom, M.A.M. (2013) Agriculture Land Suitability Evaluator (ALSE): A Decision and Planning Support Tool for Tropical and Subtropical Crops. Computers and Electronics in Agriculture, 93, 98-110.
http://dx.doi.org/10.1016/j.compag.2013.02.003
[14]  Lahssini, S., Lahlaoi, H., Mharzi Alaoui, H., Hlal, E.A., Bagaram, M. and Ponette, Q. (2015) Predicting Cork Oak Suitability in Maamora Forest Using Random Forest Algorithm. Journal of Geographic Information System, 7, 202-210.
http://dx.doi.org/10.4236/jgis.2015.72017
[15]  Chen, H.S. (2013) Evaluation of Soil Fertility Suitability of Tobacco Planting Fields on Slant Plain in the East Side of Funiushan Mountainin at Central China Supported by GIS. Journal of Food Agriculture and Environment, 11, 1459- 1463.
[16]  Davis, H.T., Aelion, C.M., McDermott, S. and Lawson, A.B. (2009) Identifying Natural and Anthropogenic Sources of Metals in Urban and Rural Soils Using GIS-Based Data, PCA, and Spatial Interpolation. Environmental Pollution, 157, 2378-2385.
http://dx.doi.org/10.1016/j.envpol.2009.03.021
[17]  Keshavarzi, A. (2010) Land Suitability Evaluation Using Fuzzy Continuous Classification (A Case Study: Ziaran Region). Modern Applied Science, 4, 10.
http://dx.doi.org/10.5539/mas.v4n7p72
[18]  Saaty, T.L. (1977) A Scaling Method for Priorities in Hierarchical Structures. Journal of Mathematical Psychology, 231-281.
http://dx.doi.org/10.1016/0022-2496(77)90033-5
[19]  Caillet, R. (2003) Analyse multicritère: Analyse et comparaison de méthodesexistantes en vue d’une application en vue d'une application analyse de cycle de vie. CIRANO, Montreal, 53.
[20]  Godard, V. (2007) Cours de Master. Aide à la décision et SIG, Paris.
[21]  Heusch, B. and Billaux, P. (1966) Carte pédologique du Rharb, de la Maamora Septentrionale et de leur bordure orientale.
[22]  Mandouri, T. (1990) Importance de la fertilisation dans le fonctionnement de l’écosystème à Eucalyptus (Lacke albacutya) avec et sans fertilisation en milieu sableux et en climat méditerranéen du Maroc.
[23]  Bagaram, B.M. (2014) Elaboration d’une base de données géographique et catalogue des stations de la subéraie de la Maamora. Memoire du 3ème Cycle, ENFI, Salé, Morocco.
[24]  Estoque, R.C. (2011) GIS-Based Multi-Criteria Decision Analysis (inn Naturall Resources Management).
[25]  Eastman, J.R. (2004) Système d’Information Géographique et aide à la décision. IDRISI 4.1 Update Manual, Clark University.
[26]  Saaty, T.L. and Vargas, L.G. (1991) Prediction, Projection and Forecasting. Kluwer Academic Publisher, Dordrecht, 251 p.
http://dx.doi.org/10.1007/978-94-015-7952-0
[27]  Lepoutre, B. (1965) Régénération artificielle du chêne-liège et équilibre climatique de la suberaie de la forêt en forêt de la Maamora. Annale de la Recherche Forestière, Maroc.
[28]  Belghazi, B., Badouzi, M., Belghazi, T. and Moujjani, S. (2011) Semis et Plantations dans la Forêt de Chêne-liège de la Maamora (Maroc). Forêt Méditerranéenne, 32, 301-314.
[29]  Khalladi, S. (2013) Evaluation de l'effet de couvert arboré et arbustif sur le développement des plants et semis de chêne-liège ainsi que sur la strate herbacée dans la Maamora.Memoire du 3ème Cycle, ENFI, Salé, Morocco.

Full-Text


comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413