تعیین مطلوبیت رویشگاه گل‌ ماهور (Verbascum stachydiforme L.) به روش تحلیل عاملی آشیان اکولوژیک (ENFA)

نوع مقاله: مقاله پژوهشی

نویسندگان

1 سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران.

2 دانشگاه ارومیه

چکیده

گزارش‌های موجود در خصوص پایش مراتع کشور، بیانگر آن است که تنوع‌‌‌‌ گونه‌‌ای رویشگاه‌‌های مرتعی، رو به کاهش است. برای احیا اکوسیستم‌‌های مذکور، ضرورت دارد که مطلوبیت رویشگاه‌‌ها برای گونه‌‌ها، مورد بررسی قرار گیرد و مهمترین عوامل محیطی موثر در پراکنش آنها، مشخص شود. از این رو مطلوبیت رویشگاه‌‌های کوهستانی ارومیه، برای گونه گل‌‌ماهور (Verbascum stachydiforme) به‌‌عنوان یک گیاه دارویی با ارزش، با استفاده از مدل تحلیل عاملی آشیان بوم‌‌شناختی (ENFA)(1)، مورد بررسی قرار گرفت. تحلیل عاملی آشیان بوم‌‌شناختی، یک روش تجزیه و تحلیل چندمتغیره برای مطالعه توزیع جغرافیایی گونه‌‌ها در مقیاس داده‌‌های حضور به‌‌عنوان متغیر وابسته و عوامل محیطی به‌‌عنوان متغیر مستقل است. برای این منظور، داده‌‌های مکانی حضور گونه گل‌‌ماهور (رویشگاه بالفعل) با GPS(2) ثبت شد و عوامل محیطی (اقلیمی، توپوگرافی و خاکی) مرتبط با رویشگاه، اندازه‌‌گیری شد. با وارد کردن لایه‌‌های اطلاعاتی اقلیمی، توپوگرافی و خاکی و نقشه حضور گونه به نرم‌‌افزار بیومپر(3)، نقشه رویشگاه بالقوه گونه گل‌‌ماهور ایجاد شد. نتایج نشان داد که از 2220 هکتار رویشگاه‌‌های مورد بررسی، 480 هکتار (6/21 درصد)، رویشگاه بالقوه گونه گل‌‌ماهور به‌‌شمار می‌‌رود. در این خصوص، میزان صحت مدل بر مبنای نمایه بویس(4) و استفاده از الگوریتم میانه، 99 درصد ارزیابی شد. همچنین میزان تطابق نقشه تهیه شده با نقشه واقعی پوشش گیاهی، با توجه به ضریب کاپا(5)، 91/0 بود. نتایج حاصل از این پژوهش، می‌‌تواند به‌‌منظور شناسایی مناطق مستعد برای انجام عملیات اصلاحی، مورد استفاده قرار گیرد.

کلیدواژه‌ها


عنوان مقاله [English]

Determination of the Desirability Habitat of Verbascum Stachydiforme L. by Ecological Niche Factor Analysis (ENFA)

نویسندگان [English]

  • Javad Motamedi 1
  • Esmaeil Sheidai Karkaj 2
  • Elham Azad Mosavi 2
1 Agricultural Research Education and Extension Organization (AREEO), Tehran
2 Urmia University
چکیده [English]

Reports on the monitoring of rangelands of the country indicate that the variety of rangelands habitats is declining. In order to restore these ecosystems, it is necessary to study the desirability of habitats for rangeland species and to determine the most important environmental factors affecting their distribution. Hence, the desirability of mountainous habitats of Urmia for the species of Verbascum stachydiforme L. was considered as a valuable medicinal plant using the ecological niche factor analysis model (ENFA). Ecological niche factor analysis is a multivariate analysis method for studying the geographic distribution of species in the scale of presence data as an associated variable and environmental factors as an independent variable. For this purpose, the spatial data of the presence of the Verbascum stachydiforme (actual area) was recorded with GPS and the environmental factors (climate, topography and earth) related to the habitat were measured. By introducing climatological, topographic and earthy information layers and the map of the presence of species into the biomaper software, a potential habitat map was created. The results showed that of 2,220 hectares of studied habitats, 480 hectares (21.6%) are the potential habitat for Verbascum stachydiforme species. In this regard, the accuracy of the model based on the Boys Index and the use of the Medium Algorithm was evaluated 99%. Also, the compliance rate of the map prepared with the actual map of cover, according to Kappa coefficient, was 0.91. The results of this research can be used to identify areas susceptible to range improvments.
 

کلیدواژه‌ها [English]

  • Ecological niche factor analysis (ENFA)
  • Verbascum stachydiforme
  • the desirability of habitats
  • mountain rangelands
Azarnivand, H. & Zare Chahouki, M. A. 2010. Range ecology. University of Tehran Press. (in persian)

Bohera, J.S. & Dorffing, K. 1993. Nutrition of rice varieties under NaCl salinity. Journal of Plant and Soil, 152: 299-303.

Carter, M.R. & Gregorich, E.G. 2008. Soil sampling and methods of analysis. Canadian Society of Soil Science, Taylor & Francis Group, LLC. 1262p.

Durey, R.S. 1995. Phsiological mechanism of nitrogen absorption and assimilation in plants under stress conditions. In: Pessarakli, M.(Ed.), Handbook of Plant and Crop Physiology. Macel Dekker Inc., NewYork. Pp:605-625.

Elith, J. & Leathwick, J.R. 2009. Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution and Systematics. 40:677-697.

Esfanjani, J.; Zare Chahouki, M. A.; Rouhani, H.; Esmaeili, M. M. & Behmanesh, B. 2017. Suitibility habitat modeling species using Ecological Niche Factor Analysis (ENFA) in rangelands Chaharbagh of Golestan province, Iran. Journal of Range and Desert Research, 23 (3): 516-526. (in persian)

Fahimipour, A.; Zare Chahouki, M. A. & Tavili, A. 2010. Investigation of Some Environmental Factors Affecting Distribution of Plant Species (Case Study: Taleghan Rangelands). Journal of Range Management, 4(1): 23-32. (in persian)

Fatahi, B.; Agha Bighi, S.; Ildarmi, GH.; Malaki, M.; Hasani, J. & Sabet Pour, T. 2009. Investigation of Some Environmental Factors Affecting Astragalus gossypinus in Zagros Mountain Rangelands (Case Study: Ghalehbar Rangelands in Hamadan Province). Journal of Rangeland, 2:203-216. (in persian)

Franklin, J. 2009. Mapping species distributions: Spatial inference and prediction. Cambridge University Press, Cambridge, UK. 320p.

Griffiths, M.E. 2006. Salt spray and edaphic factors maintain dwarf stature and community composition in coastal sand plain heath lands. Plant Ecology, 186: 69-86.

Guisan, A.; Lehmann, A.; Ferrier, S.; Austin, M.;, Overton, J.M.C.C.; Aspinall, R. & Hastie, T. 2006. Making better biogeographical predictions of species' distributions. Journal of Applied Ecology, 43(3): 386-392.

Haslett, J.R. 1990. Geographical information system: a new approach to habitat definition and the study of distribution. Trends in Ecology and Evolution. 5: 214-218.

Hengel, T.; Siedsema, H.; Radovi, A. & Dilo, A. 2009. Spatial prediction of specie, distribution from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging. Ecological Modeling, 220(24): 3499-3511.

Hirzel, A.; Hausser, H., Chessel, D. & Perrin, N. 2002. Ecological niche factor analysis: How to compute habitat-suitability maps without absence data?. Ecology, 83(7): 2027-2036.

Hirzel, A.; Helfer, H. & Mertalm, F., 2001. Assessing habitat suitabilitiy models with a virtual species. Ecological Modeling, 145(2-3): 111-121.

Hirzel, A.H.; Laya, G.L.; Helfera, V.; Randina, C. & Guisana, A. 2006. Evaluating the ability of habitat suitability models to predict species presencse. Ecological Modeling, 199(2):142-152.

Khalasi Ahvazi, L.; Zare Chahouki, M.A.; Azarnivad, H. & Ghord Faramarzi, M. 2011. Modeling the desirability of Eurotia ceratoides using the method of factor analysis of ecological nest in the northeast ranges of Semnan. Journal of Rangeland, 4: 362-373. (in persian)

Khalasi Ahvazi, L. & Zare Chahouki, M. A. 2015. Mapping the potential habitat of Zygophylum eurypterum in North East of Semnan, using Ecological Niche Factor Analysis. Journal of Range and Watershed Management, 67(4):536-525. (in persian)

Landis, J.R. & Koch, G.G. 1997. The measurement of observer agreement for categorical data. Biometrics, 1: 159-174.

Leps, J. & Smilauer, P. 2003. Multivariate analysis of ecological data using Canoco. Cambridge University Press, UK. 269p.

Mansorfar, K. 2012. Advanced statistical methods. University of Tehran Press, 370p. (in persian)

Miller J.; Franklin, J. & Aspinall, R. 2007. Incorporating spatial dependence in predictive vegetation models. Ecological Modelling, 202(3-4): 225-242.

Mostafavi, M.; Alizadeh, A.; Kaboloi, M.; Karami, M.; Gholjani, R. & Mohamadi, S. 2010. Preparation of the desirability map of the spring and summer habitats of the Capra aegagrus genus in Lar National Park. Journal of Natural Resources Science and Technology, 5(2): 111-121. (in persian)

Motamedi, J.; Alijanpour, A.; Banejshafie, A. 2016. Report of comprehensive project of recognition and utilization of by-products of rangelands and forests of West Azerbaijan province, Vice Research of Urmia University (VRUU), 150Pp. (In Persian). (in persian)

Neeti, N.; Vaclavik, T. & Niphadkar, M. 2007. Potential distribution of Japanese knot Weed in Massachussets. ESRI Annual user Conference, San Diego State Univercity, June 2007.

Newbold, T. 2010. Applications and limitations of data for conservation and ecology, with particular attention to species distribution models. Progress in Physical Geography. 34: 3-22.

Omidi, M.; Kaboli, M.; Karami, M.; Salman Mahini, A. & Hasan zadeh Kiabi, B. 2010. Analyzing and Modeling Spatial Distribution of Leopard (Panthera pardus saxicolor) in Kolahghazi National Park, Isfahan Province of Iran. Journal of Environmental Science and Technology, 12(1): 138-148. (in persian)

Safaei, M. & Tarkesh Esfahani, M. 2012. Protecting the herb site Ferula ovina Boiss. Using the potential habitat modeling (proposed model: factor analysis of ecological niches). Journal of Native Plant Protection, 1(1):105-121. (in persian)

Safaei, M.; Tarkesh Esfahani, M.; Basiri, M. & Bashari, H. 2013. Modeling the potential habitat of Astragalus verus Olivier species using factor analysis methodology of ecological nesters. Journal of Rangeland, 7(1): 40-51. (in persian)

Sheidaye Karkaj, E.; Motamedi, J. & Karimizadeh, K. 2012. Evaluation of rangeland use capability using systemic method in Khanghah Sorkh watershed in Orumieh. Journal of Range and Desert Reseach, 19(1): 32-44. (in persian)

Songhoni, H.; Karimzadeh, H.R.; Vahabi, M.R. & Tarkesh Esfahani, M. 2012. Determination of the potential habitat of Astragalus gossypinus Fischer in the western region of Isfahan by analyzing the ecological nesting factor. Journal of Remote Sensing and GIS in Natural Resources Science, 3(2): 1-13. (in persian)

Tarkesh, M. 2008. Predictive vegetation modelling: Comparison of methods, effect of sampling design and application on different scales. Dissertation zur Erlangung des akademischen Grades doctor rerum naturalium. vorgelegt dem Rat der Biologisch–Pharmazeutischen Fakultät der Friedrich-Schiller-Universität Jena. 100p.

Najafi, M.; Vahabi, M. R. & Tarkesh Esfahani, M. 2015.The application modeling potential habitat in habitat protection Fritillaria (Fritillaria imperialis). Journal of Plant Ecosystem Conservation, 3(7): 113-127. (in persian)

Trethowan, P.D.; Robertsonb, M.P. & McConnachiec, A.J. 2011. Ecological niche modeling of an invasive alien plant and its potential biological control agents. South African Journal of Botany, 77 (1): 137-146.

Williams, J.N.; Seo, C.W., Thorne, J., Nelson, J.K., Erwin, S., O’Brien, J.M. & Schwartz, M.W. 2009. Using species distribution models to predict new occurrences for rare plants. Diversity and Distributions. 15: 565-576.

Xuezhi W.; Weihua, X., Zhiyun, O.L.; Jianguo, X.Y. & Youping, Ch. 2008. Application of ecological-niche factor analysis in habitat assessment of giant pands. Acta Ecologica Sinica, 28(2): 821-828.

Zare Chahouki, M. A. & Abasi, M. 2017. Habitat suitability modeling Stipa barbata species using Ecological Niche Factor Analysis (case study: Taleghan Rangelands). Journal of Natural Ecosystems of Iran, 7(4): 1-16. (in persian)

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. Journal of Range Management & Agroforestry, 33(2): 123-128.