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Determining the rRelationships between sSoil pProperties and pPlant dDistribution in a protected area in central Iran |
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| รหัสดีโอไอ | |
| Creator | 1. Ali A. Besalatpour 2. Mohammad Homayoun 3. Ahmad Jalalian 4. Ali Basirat 5. Inge Aalders |
| Title | Determining the rRelationships between sSoil pProperties and pPlant dDistribution in a protected area in central Iran |
| Publisher | Maejo University |
| Publication Year | 2558 |
| Journal Title | Maejo International Journal of Science and Technology |
| Journal Vol. | 9 |
| Journal No. | 2 |
| Page no. | 136 |
| Keyword | soil-plant relationships,endangered plant species,Iran,support vector machines |
| ISSN | 1905-7873 |
| Abstract | A hybrid algorithm, specifically designed to work with optimiszed support vector machines with genetic algorithm (GA-SVM), wawas developed for determining the relationships between soil properties and plant distribution and vegetation cover densities in a protected area (Ghomeshlu, central Iran). The bulk density, porosity, silt, total nitrogen, and chloride (Cl-) contents awere the main essential factors (with a screen accuracy of 100%) for the establishment and growth of Scariola. For Astragalus, surface fragment content hasd the greatest influence, while available phosphorus (Pava) was screened out by the GA-SVM analysis as the factor with a more closerd relationship with the Anabasis growth in the studyied sites. PThe component of particle density, aggregate stability, available magnesium, and pH was introduced asare the more important combination of soil properties affecting the Stipa coverage density of Stipa. with a mean square error of 0.008. Furthermore, the Ssoil organic matter content, available phosphorus,Pava, total nitrogen, electrical conductivity, porosity, and particle density haved a closer relationship with the coverage density of Noaea. This study provides a strong basis for identifying the most determinant habitat characteristics of vulnerable and/or endangered species in Iran. |
