Palashi, Fatemeh (2017) Comparison of the predictive Performance of ENFA and Maximum Entropy Methods in Preparation potential Maps of plant Habitat Distribution (Case study: Rangelands of Jiroft city). Masters thesis, department.
|
Text
Comparison of the predictive Performance of ENFA and.pdf Download (222kB) | Preview |
Abstract
The aim of this study was to assess and compare the performance of prediction methods of maximum entropy analysis of ecological niche modeling and factors affecting the habitat is grasslands city of Jiroft, Kerman Province. For the purpose of determining the homogeneity of the study area using base maps with a scale of 1: 25,000 were studied; According to local conditions, sampling the vegetation along the four transects was done through investment plot, the distance between transects were selected based on a regional level. As well as other characteristics of each habitat including slope, aspect, elevation, etc. were also picked. For sampling of soil was dug along each transect two profiles And given the depth of rooting plant species from the depths of 30-0 and 60-30 cm soil samples were collected And soil properties included gravel, texture, saturation, available water, lime, gypsum, organic matter, pH and electrical conductivity were measured in the laboratory. Data from the analysis of soil samples and data on vegetation after the initial evaluation (normalize the data, the amounts of nonuse, etc.) using software + GS, Arc GIS, Biomapper and MAXENT analyzed it placed. And finally predicted map distribution of plant species were prepared. The results showed the accuracy of maximum entropy method that uses statistics AUC excellent performance in all four habitats The maximum entropy method tamarix sites with AUC = 0.895 was the best performance. Very poor modeling factor analysis and stochastic modeling performance compactness. ENFA method validation was performed using the index Boyce and At all sites was less than 0.5. Generally the variables used in this study can be most effective salinity, lime content, organic matter, soil moisture and soil texture named. Assess the projected and actual vegetation map matching using kappa coefficient was calculated And showed that the models were more consistent with the reality of MAXENT And in the locality. The kappa coefficient was 0.81 tamarix ephyla good agreement. Keywords: Maximum Entropy (ME), Ecological niche, Habitat potential map, Pasture Jiroft, Matrix ratings
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Maximum Entropy (ME), Ecological niche, Habitat potential map, Pasture Jiroft, Matrix ratings |
| Subjects: | S Agriculture > S Agriculture (General) |
| Depositing User: | Mrs najmeh khajeh |
| Date Deposited: | 16 May 2018 06:47 |
| Last Modified: | 09 Mar 2019 06:26 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/1803 |
Actions (login required)
 |
View Item |
