文章基本信息

标题：Comparison of Random Forest (RF) and Boosting Regression Tree (BRT) For Prediction of Dominant Plant Species Presence in Polour Rangelands, Mazandaran Province
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作者：Z. Jafarian ; M. Kargar
期刊名称：Iranian Journal of Applied Ecology
印刷版ISSN：2476-3128
电子版ISSN：2476-3217
出版年度：2017
卷号：6
期号：1
页码：41-55
DOI：10.18869/acadpub.ijae.6.1.41
出版社：Isfahan University of Technology
摘要：For this study, Polour rangelands were chosen with an area of about 2017 ha in Mazandaran province. The purpose of this study was prediction of dominant species of the rangeland using random forest (RF) and boosting regression trees (BRT) models in the study area. Equal random sampling of vegetation and soil was carried out. 12 work units were obtained in the region that climatic, topography and soil factors were measured at each sampling unit. Five dominant species in the area were Astragalus ochrodeucus, Ferula gumosa, Thymus kotschyanus, Onobrychis cornata and Agropyron repens . The Ten-fold method was used to evaluate the models in the package (caret). Also the statistical coefficients AUC, Kappa and TSS were used for evaluating the model prediction.The results showed that in the RF model of variables K and CaCO 3 , the presence of the plant species had the highest importance. Also in BRT model, the silt and aspect had the most importance in the model. The results of the function of the models RF and BRT showed that the highest AUC in the BRT model was related to the species Agropyron repens for 0.76 and in the RF model, it was related to the species Onobrychis cornata . The proposed models RF and BRT can be used for introduction of suitable species in range improvement programs .
关键词：Environmental factors; Predictable models; Polour rangelands; Spatial distribution.