2016
DOI: 10.4236/oalib.1102483
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Site Suitability Analysis for Cork Oak Regeneration Using GIS Based Multicriteria Evaluation Techniques in Maamora Forest-Morocco

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 wer… Show more

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Cited by 6 publications
(4 citation statements)
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“…In fact, in nature, the different factors that a plant may need for its growth are not equally important. Similar to the opinion of Bagaram et al (2016), the AHP method is the best way of solving the problem of unequal important factors in nature by giving weight to the experts, but expert opinions remain uncertain due to human behavioral bias or even because of experts' backgrounds [79].…”
Section: Discussionmentioning
confidence: 99%
“…In fact, in nature, the different factors that a plant may need for its growth are not equally important. Similar to the opinion of Bagaram et al (2016), the AHP method is the best way of solving the problem of unequal important factors in nature by giving weight to the experts, but expert opinions remain uncertain due to human behavioral bias or even because of experts' backgrounds [79].…”
Section: Discussionmentioning
confidence: 99%
“…Yalew et al (2016) proposed the application of data from Google Earth Engine processed using QGIS and a web-based AHP application while Shokati et al created its web-based GIS MCDA model. These methods have been implemented in some plantations, e.g., mango (Elsheikh et al 2015), Arabica coffee (Nzeyimana et al 2014), and cork oak plant (Bagaram et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Using the criteria weights generated in Table4, the reclassi ed cause factors were integrated using the weighted overlay tool in ArcGIS to simulate the lake extent maps for 1992, 2002, 2012 and 2022. The simulated lake extent maps were reclassi ed into ve levels (very low, low, moderate, high and extremely high) based on broad range of nine-point weighting scale and extracting the spatial extent of each category(Bagaram et al, 2016) …”
mentioning
confidence: 99%