Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province
Habitat degradation is one the important reasons of plant species extinction. Modeling techniques are widely used for identifying the potential habitats of different plant species. Thus, the purpose of current study was to determine potential habitats of Zalzalak in Lorestan Province. Species presen...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Isfahan University of Technology
2020-08-01
|
| Series: | Iranian Journal of Applied Ecology |
| Subjects: | |
| Online Access: | http://ijae.iut.ac.ir/article-1-977-en.html |
| _version_ | 1818575803859861504 |
|---|---|
| author | R. jafari Gh. rafiee mo S. H. matinkhah M. tarkesh isfahani H. R. karimzadeh Z. jafari |
| author_facet | R. jafari Gh. rafiee mo S. H. matinkhah M. tarkesh isfahani H. R. karimzadeh Z. jafari |
| author_sort | R. jafari |
| collection | DOAJ |
| description | Habitat degradation is one the important reasons of plant species extinction. Modeling techniques are widely used for identifying the potential habitats of different plant species. Thus, the purpose of current study was to determine potential habitats of Zalzalak in Lorestan Province. Species presence data and 23 environmental variables were collected in Lorestan Province. Correlation analysis was then applied to reduce the environmental variables into nine effective ones and potential habitat of the species was determined using five models including Maximum Entropy (MAXENT),Generalized Linear Models (GLM), Generalized Additive Models (GAM), Multivariate Adaptive Regression Splines (MARS) and Generalized Boosting Model (GBM). Models were evaluated with receiver operating characteristic (ROC) plots, true skill statistic (TSS) and Kappa coefficients. Results showed that ROC and Kappa coefficients were excellent for all models and TSS values were excellent for GBM and MAXENT, good for MARS and GAM and medium for GLM model. According to the combined model, 40% of the province was classified as suitable and 60% as unsuitable. The precipitation of the three coldest months of the year, annual rainfall and elevation were the most effective environmental variables in Zalzalak habitat mapping. The maximum presence of the species occurred at the rainfall and elevation range of 160–220 mm and 1300–1850 m, respectively. Due to the high accuracy of the Zalzalak suitable habitat map, it can be used by related organizations, as an appropriate tool for reclamation of degraded regions and conservation of current habitats. |
| first_indexed | 2024-12-15T00:45:55Z |
| format | Article |
| id | doaj.art-933d633592a54609ab447e7acb80a46d |
| institution | Directory Open Access Journal |
| issn | 2476-3128 2476-3217 |
| language | fas |
| last_indexed | 2024-12-15T00:45:55Z |
| publishDate | 2020-08-01 |
| publisher | Isfahan University of Technology |
| record_format | Article |
| series | Iranian Journal of Applied Ecology |
| spelling | doaj.art-933d633592a54609ab447e7acb80a46d2022-12-21T22:41:32ZfasIsfahan University of TechnologyIranian Journal of Applied Ecology2476-31282476-32172020-08-01924559Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan ProvinceR. jafari0Gh. rafiee mo1S. H. matinkhah2M. tarkesh isfahani3H. R. karimzadeh4Z. jafari5 Isfahan University of Technology Isfahan University of Technology Isfahan University of Technology Isfahan University of Technology Isfahan University of Technology Isfahan University of Technology Habitat degradation is one the important reasons of plant species extinction. Modeling techniques are widely used for identifying the potential habitats of different plant species. Thus, the purpose of current study was to determine potential habitats of Zalzalak in Lorestan Province. Species presence data and 23 environmental variables were collected in Lorestan Province. Correlation analysis was then applied to reduce the environmental variables into nine effective ones and potential habitat of the species was determined using five models including Maximum Entropy (MAXENT),Generalized Linear Models (GLM), Generalized Additive Models (GAM), Multivariate Adaptive Regression Splines (MARS) and Generalized Boosting Model (GBM). Models were evaluated with receiver operating characteristic (ROC) plots, true skill statistic (TSS) and Kappa coefficients. Results showed that ROC and Kappa coefficients were excellent for all models and TSS values were excellent for GBM and MAXENT, good for MARS and GAM and medium for GLM model. According to the combined model, 40% of the province was classified as suitable and 60% as unsuitable. The precipitation of the three coldest months of the year, annual rainfall and elevation were the most effective environmental variables in Zalzalak habitat mapping. The maximum presence of the species occurred at the rainfall and elevation range of 160–220 mm and 1300–1850 m, respectively. Due to the high accuracy of the Zalzalak suitable habitat map, it can be used by related organizations, as an appropriate tool for reclamation of degraded regions and conservation of current habitats.http://ijae.iut.ac.ir/article-1-977-en.htmlhabitat modelingenvironmental variablesndvicombined modelcrataegus pontica |
| spellingShingle | R. jafari Gh. rafiee mo S. H. matinkhah M. tarkesh isfahani H. R. karimzadeh Z. jafari Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province Iranian Journal of Applied Ecology habitat modeling environmental variables ndvi combined model crataegus pontica |
| title | Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province |
| title_full | Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province |
| title_fullStr | Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province |
| title_full_unstemmed | Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province |
| title_short | Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province |
| title_sort | predicting the potential habitat distribution of crataegus pontica c koch using a combined modeling approach in lorestan province |
| topic | habitat modeling environmental variables ndvi combined model crataegus pontica |
| url | http://ijae.iut.ac.ir/article-1-977-en.html |
| work_keys_str_mv | AT rjafari predictingthepotentialhabitatdistributionofcrataegusponticackochusingacombinedmodelingapproachinlorestanprovince AT ghrafieemo predictingthepotentialhabitatdistributionofcrataegusponticackochusingacombinedmodelingapproachinlorestanprovince AT shmatinkhah predictingthepotentialhabitatdistributionofcrataegusponticackochusingacombinedmodelingapproachinlorestanprovince AT mtarkeshisfahani predictingthepotentialhabitatdistributionofcrataegusponticackochusingacombinedmodelingapproachinlorestanprovince AT hrkarimzadeh predictingthepotentialhabitatdistributionofcrataegusponticackochusingacombinedmodelingapproachinlorestanprovince AT zjafari predictingthepotentialhabitatdistributionofcrataegusponticackochusingacombinedmodelingapproachinlorestanprovince |