[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 6, Issue 13 (3-2019) ::
PEC 2019, 6(13): 91-120 Back to browse issues page
Modeling the distribution of medicinal plant species of Thymus kotschyanus and Achillea millefolium using ENFA and Logistic Regression
Bahareh Behmanesh * , Esmat Tabasi , Akbar Fakhireh , Leila Khalasi Ahvazi
Gonbad Kavous University , behmanesh@gonbad.ac.ir
Abstract:   (4164 Views)
Defining, planting and domesticating of important medicinal plants is necessary due to reducing pressure on natural resources and conserving genetic resources. Therefore, it is essential to know the factors affecting on establishment and distribution of medicinal plants. Then, the present research, is done in order to modeling the distribution of the most important medicinal plant species in the Chaharbagh rangelands of Golestan province. In doing so, four vegetation types were selected after visiting the field of study area. In the key area of each type, sampling was done with random-systematic method. In each type, three 50 m transects and on each transect 10 plots were put. Also, in order to investigate soil factors, soil sampling was done from depth of 0-30 cm, and with GPS the sampling points were registered. Some important physical and chemical soil factors such as soil texture, electrical conductivity, organic matter, acidity, Nitrogen and saturation. Topographic factors consisting of slope, aspect and altitude were registered for each plot. In order to modeling, the models of ENFA (Ecological Niche Factor Analysis) and regression logistic were used. The maps of environmental factors affecting on distribution of vegetation such as physiography map using DEM map and the soil maps with interpolation methods (Krijing , Inverse Distance Weighting and Norml Distance Weighting)inputs of model. Three important medicinal species of Thymus kotchyanus Boiss, Achillea millefolium, and Berberis integerrima were selected to be analyzed. Results showed that based on ENFA method, the most important factors affecting on defining utility of Achillea millefolium and Berberis integerrima habitat were altitude, soil silt and saturation while for Thymus kotchyanus Boiss these factors were altitude and soil texture. Also, the result from regression logistic model showed that the presence of Thymus kotchyanus Boiss was directly related to altitude and inversely related to electrical conductivity, while Achillea millefolium was directly related to soil saturation and reversely related to altitude.  Berberis integerrima was also directly related to soil sand and altitude. In order to overlap the maps obtained with the real vegetation map, kappa index was used. Kappa index of regression logistic model for Thymus kotchyanus Boiss ,0.57; for Achillea millefolium, 0.63 and for  Berberis integerrima was 0.67. While in ENFA model kappa index forThymus kotchyanusBoiss, Achillea millefolium, and Berberis integerrima  were 0.67, 0.75 and 0.78. Results showed that ENFA model was more precise than regression logistic.
Keywords: Medicinal Plants, Modeling, Ecological Niche, Regression Logistic, Chaharbagh
Full-Text [PDF 803 kb]   (1639 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2017/10/29 | Accepted: 2018/04/17 | Published: 2019/05/3
References
1. Alemi, M. H., Azari, A. S., Nielson, D. R. 1980. Kriging and univariate modeling of a spatial correlate data. Soil Technology, 1: 133-147.
2. Engler, R., Guisan, A., Rechsteiner, L. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology, 41: 263-274
3. Gibson, L. A., Wilson, B.A., Cahill, D. M., Hill, J. 2003. Modeling Habitat suitability of the swamp Antechinus (Antechinus minimus maritimus) in the costal heathlands of southern Victoria, Australia. International Journal of Biological Conservation, 117: 143-150.
4. Guisan, A., Zimmermanm, N.E. 2000. Predictive habitat Distribution Models in Ecology. J. Ecological Modeling, 147-186.
5. Field, A. 2009. Discovering statistics using SPSS, 3rd Edition, Sage Publications Ltd., London, 821p.
6. Hegazy, A.K., Demerdash, M.A.EI., Hosni, H.A. 1998. Vegetation, species diversity, and floristic relations along an altitudinal gradient in sourth-west Saudi Arabia. Journal of Arid Environments, 38: 3-13.
7. Hengel, T., Sierdsema, H., Radovi, A., Dilo, A. 2009. Spatial prediction of species distribution from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging. Ecological Modeling, 220: 3499-3511.
8. Hirzel, A.H., Hausser, J., Chessel, D., Perrin. N. 2002. Ecological Niche Factor Analysis: How to compute habitat-suitability maps without absence data?. Ecology, 73 (22): 2027-2036.
9. Hosmer, D.W., Lemeshow, S. 2000. Applied Llogistic Regression. Wiley, New York. 307p.
10. Http:// hamshahrionline. Ir/ details/ 84024, 2009.
11. Jianbing, W., Boucher, A., Zhang, T. 2008. A SGEMS code for pattern simulation of continuous and categorical variables: FILTERSIM. computers & Geosciences, 12: 1863-1876.
12. Jongman, R.H.G., Ter Break, C.J.F., Van Tongeren, O.F.R. 1987. Data Analysis in Community and Landscape Ecology. Cambridge university press, Wageningen. 299p.
13. Zare Chahouki, M.A., Khalasi Ahvazi,L. 2012. Predicting potential distributions of Zygophyllum eurypterum by three modeling techniques (ENFA, ANN and logistic) in North East of Semnan, Iran. Range Mgmt. & Agroforestry, 33 (2): 123-128.
14. Muir, S. 2001. Managing Rangeland. In URL: http:// rangelands West. Org/ az/ Monitoring technical. Htmh.
15. Nicholls, A. O. 1989. How to make biological surveys go further with generalized linear models. Biol. Conserv, 50: 51–75.
16. Pearce, J., Ferrier, S. 2000. An evaluation of alternative algorithms for fitting species distribution models using logistic regression. Ecological Modelling, 128: 127-147.
17. Rushton, S.P., Ormerod, S.J., Kerby, G. 2004. New paradigms for modelling species distributions?. Journal of Applied Ecology, 41(2):193-200.
18. Stephenson, C., MacKenzie, M., Edwards, C., Travis, J. 2006. Modelling establishment probabilities of an exotic plant, Rhododendron ponticum, invading a heterogeneous, woodland landscape using logistic regression with spatial autocorrelation. Ecol. Model, 193 (3-4):747-758.
19. Thomaes. A., Kervynb, T., Maes,D. 2008. Applying species distribution modelling for the conservation of the threatened Saproxylic Stag Beetle (Lucanus cervus). Biological Conservation. 141: 1400-1410.
20. Trethowan, P., Robertson, D., Mcconnachiec, A.J. 2011. Ecological nich modelling of an imvasive alien plant and its potential biological control egents. South African journal of Botany, 77: 137-146.
21. Wolmarans, R., Robertson, M.P., Van Rensburg, B.j. 2010. Predicting invasive alien plant distributions. How geographical bias in occurrence records influences model performance. Journal of Biogeography, 37(9): 1629-1834.
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Behmanesh B, Tabasi E, Fakhireh A, Khalasi Ahvazi L. Modeling the distribution of medicinal plant species of Thymus kotschyanus and Achillea millefolium using ENFA and Logistic Regression. PEC 2019; 6 (13) :91-120
URL: http://pec.gonbad.ac.ir/article-1-395-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 6, Issue 13 (3-2019) Back to browse issues page
مجله حفاظت زیست بوم گیاهان Journal of Plant Ecosystem Conservation
Persian site map - English site map - Created in 0.05 seconds with 37 queries by YEKTAWEB 4645