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Predicting Cork Oak Suitability in Maâmora Forest Using Random Forest Algorithm
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作者 Said Lahssini Hicham Lahlaoi +3 位作者 Hicham Mharzi Alaoui El Aid Hlal Martino Bagaram Quentin Ponette 《Journal of Geographic Information System》 2015年第2期202-210,共9页
Maamora is considered the most important cork-oak forest in the world with regard to surface. Therefore, anthropic pressure, including cork harvesting, grazing and soft acorn picking up by local communities, has harmf... Maamora is considered the most important cork-oak forest in the world with regard to surface. Therefore, anthropic pressure, including cork harvesting, grazing and soft acorn picking up by local communities, has harmful consequences on forest regeneration and the forest become older exceeding harvesting age. Thus, its sustainability depends on the managers’ ability to succeed cork oak plantations. This work presents an assessment approach to evaluate Quercus suber suitability to its plantation which is based on a random forest algorithm (RF). In fact, this suitability has been assessed through analyzing management data related to previous plantation success rates (SR). Then a relationship between SR and a set of environmental and social factors has been investigated using the RF. Application of the fitted model to continuous maps of all involved factors enabled establishment of suitability maps which would help managers to make more rational decisions in terms of cork oak regeneration, ensuring Maamora forest sustainability. 展开更多
关键词 CORK OAK maamora HABITAT SUITABILITY RANDOM FOREST GIS
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