Volume 11, Issue 21 (6-2020)                   jwmr 2020, 11(21): 119-128 | Back to browse issues page


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Borna F, Tamartash R, Tatian M, Gholami V. (2020). Determination of the Contribution Environmental Factors Affecting the Predicting Distribution Habitat Artemisia aucheri Boiss in the Watershed of Balade, Nour. jwmr. 11(21), 119-128. doi:10.52547/jwmr.11.21.119
URL: http://jwmr.sanru.ac.ir/article-1-978-en.html
Agricultural Science and Natural Resources University of Sari
Abstract:   (2141 Views)
   Identification of habitats potential of endemic species can facilitate conservation planning and rehabilitation programs in watershed. The purpose of this study is modelling the distribution of Artemisia aucheri habitats in watershed of Baladeh Nour city, Mazandaran province. For achieve of this objective, environmental map variables (physiographic, soil and climate parameters) was prepared with geographic information systems techniques in cell size of 10 x 10. Also; 60 site as well as the presence or absence of species were recorded by sampling classified – random. For each sampling site were recorded information about the presence or absence of species and environmental variables, and the relationship between species distribution and environmental factors was determined by using logistic regression (LR), and forecast maps the distribution of the Artemisia aucheri Boiss was produced in the study area. According to LR results, between 14 environmental variables: Slope, pH, Sodium Absorption Ratio, Silt and Annual Mean Temperature were the most important environmental factors influencing the distribution of the species. Evaluate the correctness statistical models were performed by using the kappa coefficient and ROC area under the curve plots. Value indices respectively are 0.5 and 0.75 for the logistic regression model; their values indicated the logistic regression method can to create potential habitat map on local scales. This model, therefore, can be applied to recognize potential sites for rangeland reclamation projects.
 
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Type of Study: Research | Subject: سنجش از دور و سامانه های اطلاعات جغرافيايی
Received: 2018/11/18 | Revised: 2020/09/4 | Accepted: 2019/10/15 | Published: 2020/09/4

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