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Comparison of non-parametric and parametric species distribution models (SDM) in determining the habitat of dominant rangeland species (Case study: Khetteh Riz Rangelands) | ||
| تحقیقات مرتع و بیابان ایران | ||
| Article 6, Volume 25, Issue 3, November 2018, Pages 512-523 PDF (788.73 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.22092/ijrdr.2018.117794 | ||
| Authors | ||
| Mansoureh Kargar* 1; Zeynab Jafarian2; Reza Tamartash3; Seyed Jalil Alavi4 | ||
| 1Ph.D. Student in Rangeland Sciences, Sari Agricultural Science and Natural Resources University, Iran | ||
| 2Associate Professor, Sari Agriculture Science and Natural Resources University, Iran | ||
| 3Assistant Professor, Faculty of Natural Resources, Sari Agriculture Science and Natural Resources University, Iran | ||
| 4Assistant Professor, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran | ||
| Abstract | ||
| Ecologists and environmental managers emphasize the use of predictive models to examine the species distribution patterns. The purpose of the present study was to investigate the efficiency of the generalized linear model (GLM) and generalized additive model (GAM) in determining the relationship between vegetation and environmental factors in Khetteh Riz Rangelands. Environmental factors studied included soil characteristics, topographic factors and climatic factors. A classified-random sampling was performed and three dominant species, Bromus tomentollus, Ferula ovina, and Agropyron repens, were identified. The results showed that in the GLM model for Ferula ovina species, the variables of phosphorus content and slope were effective. For species Bromus tomentollus and Agropyron repens, the variables of annual moisture, rainfall, silt, and slope were effective. In the GAM model, the available moisture, silt and organic matter were the factors affecting the distribution of Ferula ovina. The silt, potassium, pH, and annual moisture content were the factors affecting the distribution of Agropyron repens. In addition, slope and silt were the variables affecting the distribution of Bromus tomentollus in the GAM model. The values of AUC, calculated for the GLM (0.63) and GAM (0.70), indicate the accuracy of the model to be acceptable. | ||
| Keywords | ||
| soil; dominant range species; Generalized Linear Models (GLM); Generalized Additive Model (GAM) | ||
| References | ||
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