[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): 37-58 Back to browse issues page
The Most Important Environmental Factors Effective on Habitat of Plant Species Using Analytical Hierarchy Process and Logistic Methods (Case study: Lar Rangeland of Mazandaran)
Zeinab Jafarian * , Sajedeh Hamidian , Ataoolah Kavian
Associate professor, Department of Range Management, Sari Agricultural Science and Natural Resources University, Sari, Iran. , jafarian79@yahoo.com
Abstract:   (4255 Views)

There is a close interrelation between vegetation and environmental factors in a natural ecosystem. The aim of this study is applicability of analytical hierarchy process for this relationship. To do so, logistic regression (that was done in it measurements of vegetation and environmental factors) was used as control method. At first, study area was divided into 33 homogeneous units on slope, aspect and elevation. Then, 26 designed questionnaires were filled for each site. Questionnaires were designed on the basis of three main criteria of soil, physiographic and climate and sub-criteria included soil, physiographic features and climatic characteristics. According to the presence of studied plant species in the criteria and sub-criteria classes, scoring was done for the environmental factor. Effective factors were prioritized and prepared in order to be used in Expert Choice for each plant species separately. Incompatibility coefficient of each questionnaire was also calculated.10 sampling plots were established and two soil samples were gathered from two depth of 0-15, 15-30 cm in each sampling site. 14 soil characteristics, 3 physiographic factors and 5 climate factors were measured. Most important factors affected on dominant species were determined with these environmental data, using logistic regression and were assessed using total accuracy of classification and correlation coefficient. The results of Logistic regression showed that from among the studied environmental factors, soil factors, physiographic and climatic factors in subsequent courses have a significant role in the distribution of species, respectively. Also AHP method is able to represent this connection well. If experts have sufficient knowledge about region, it is suggested to use method of less costly and time-consuming AHP than other more costly and time-consuming methods.

Keywords: Analytical Hierarchy Process, Logistic Regression, Environmental Factors, Plant Species, Lar
Full-Text [PDF 442 kb]   (1295 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2016/02/21 | Accepted: 2018/04/5 | Published: 2019/05/3
References
1. Badano E.I., Cavieres L.A., Molina-Montenegro M.A., Quiroz, C.L. 2005. Slope aspect influences plant association patterns in the Mediterranean Motorral of central Chile. Journal of Arid Environments, 62: 93-98.
2. Bevilacqua M., Braglia, M. 2000. The analytic hierarchy process applied to maintenance strategy selection. Reliability engineering and system safety, 70 (1): 71- 83.
3. Gee G.W., Bauder J.W. 1986. Particle- size analysis. In: Klute, A. (Ed), Methods of soil analysis. Part1, 2nd Edition. Agronomy Monographs, Vol.9. American Society of Agronomy, Madison, WI, 383-409.
4. Guisan A. Zimmermann N.E. 2000. Predictive habitat distribution models in ecology. Ecological modeling, 135: 147-186.
5. He M.Z., Zheng J.C., Li X.R. Qian Y.L. 2007. Environmental factors affecting vegetation composition in the Alex Plateau, China. Journal of Arid Environment, 69: 473-489.
6. Hosseini S.Z., Kappas M., Zare Chahouki M.A., Gerold G., Erasmi S., Rafiei Emam A. 2013. Modeling potential habitats for Artemisia sieberi and Artemisia aucheri in Poshtkouh area, central Iran using the maximum entropy model and geostatistics. Ecological Informatics, 18: 61-68.
7. Jafari M., Zare Chahouki M.A., Tavili A., Azarnivand H., Zahedi Amiri Gh. 2004. Effective environmental factors in the distribution of vegetation types in Poshtkouh Rangelands of Yazd Province (Iran). Journal of Arid Environments, 56: 627-641.
8. Kors A., Vilbaste S., Kairo K., Pall P., Piirsoo K., Truu J., ViikL, M. 2012. Temporal changes in the composition of macrophyte communities and environmental factors governing the distribution of aquatic plants in an unregulated lowland river (Emajogi, Estonia). Boreal Environmental Research, 17: 1-13.
9. Lee A.H.I., Chen H.H., Kang, H.Y. 2009. Multi- criteria decision making on strategic selection of wind farms. Renewable energy, 34(1): 120- 126.
10. Liao Sh.W., Chang, W.L. 2005. Interpolation and discrimination of marshy wetlands by soil factors in the Kuan-Tu Natural Park, Taiwan. Environment Monitoring and Assessment, 107: 181-202.
11. Lu T., Ma K.M., Zhang W.H., Fu, B.J. 2006. Differential responses of shrubs and herbs present at the Upper Minjiang River basin (Tibetan Plateau) to several soil variables. J. Arid Environment, 67: 373-390.
12. McGill W.B., Figueiredo C.T. 1993. Total nitrogen. In Carter, M.R. (Ed), Soil sampling and Methods of Analysis. Lewis Publishers, Boca Rton, FL. 201-211.
13. McLeen E. 1982. Soil pH and lime requirement. In: Page, A.L.(Ed), Methods of soil analysis. Part2. Chemical and microbiological properties. Agronomy, 9. ASA- SSA, Madison, WI, USA, 199-223.
14. Narayanaraj, G., P.V. Bolstad, K.J. Elliott, & J.M. Vose, 2010. Terrain and Landform Influence on Tsuga canadensis (L.) Carrie`re (Eastern Hemlock) distribution in the southern Appalachian mountains. Journal of CASTANEA, 75(1): 1–18.
15. Nelson D.W. Sommers L.E. 1982. Total carbon, organic carbon and organic matter. In: Page, A.L. (Ed), Methods of soil analysis. Part2. Chemical and microbiological properties, second ed. Agronomy monographs, 9. ASA- SSA, Madison, WI, 539-579.
16. Ozkan K. 2009. Environmental factors as influencing vegetation communication in Acipayam district of Turkey. Journal of Environmental Biology, 30: 741- 746.
17. Page A.L., Miller R.H., Keeney D.R. 1982. Methods of soil analysis. Part 2. Chemical and microbiological properties, second ed, Agronomy Monographs, 9. ASA- SSA, Madison, WI.
18. Parkinson J.A., Allen S.E. 1975. A wet oxidation procedure suitable for determination of nitrogen and mineral nutrients in biological material. Communication in soil science and plant analysis, 6, 1-11.
19. Piri Sahragard H., Zare Chahouki M.A. 2015. An evaluation of predictive habitat models performance of plant species in Hoze soltan rangelands of Qom province. Ecological Modelling, 309-310: 64-71.
20. Saaty T.L. 1980. The analytic Hierarchy Process. Mc Graw - Hill, New York, 245 p.
21. Saedi K., Azarnivand, H. 2005. Multiple uses: an approach for assessing rangeland condition for sustainability in related resources. Bulletin of the national institute of ecology, 16, 105-112.
22. Saporetti- Junior A.W., Ernesto G.C., Schaefer R., Lopes de Souza A., Pereira Soares M., Sue Dunn Araújo D., Augusto Alves Meira-Neto, J. 2012. Influence of Soil Physical Properties on Plants of the Mussununga Ecosystem, Brazil. Folia Geobot, 47: 29–39.
23. Simard R.R. 1993. Ammonium acetate- extractable elements. In: Carter, M.R. (Ed), Soil sampling and methods of analysis. Lewis Publishers, Boca Rton, FL, 39-42.
24. Tarmi S., Helenius J., Hyvonen, T. 2009. Importance of edaphic, spatial and management factors for plant communities of field boundaries. Journal of Agriculture, Ecosystems and Environment, 131: 201-206.
25. Villers-Ruiz L., Trejo-Vazquez I., Lipez-Blanco, J. 2003. Dry vegetation in relation to the physical environment in the Baja California Peninsula, Mexico. Journal of Vegetation Science, 14: 517-524.
26. Wehrden, H.V., Zimmermann, H., Hanspach, J., Ronnenberg, K., and Wesche, K. 2009. Predictive Mapping of Plant Species and Communities Using GIS and Landsat Data in a Southern Mongolian Mountain Range. Folia Geobotanica, 44: 211-225.
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:

Jafarian Z, Hamidian S, Kavian A. The Most Important Environmental Factors Effective on Habitat of Plant Species Using Analytical Hierarchy Process and Logistic Methods (Case study: Lar Rangeland of Mazandaran). PEC 2019; 6 (13) :37-58
URL: http://pec.gonbad.ac.ir/article-1-171-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 0.06 seconds with 37 queries by YEKTAWEB 4645