کاربرد روش منطق فازی جهت بررسی پتانسیل زنبورداری در مراتع تمین-شهرستان میرجاوه
محورهای موضوعی : مدیریت مرتع
مرضیه گرگی
1
(دانشگاه زابل)
حسین پیری صحراگرد
2
(گروه مرتع و آبخیزداری، دانشکده اب و خاک ، دانشگاه زابل)
سهیلا نوری
3
(دانشگاه زابل)
کلید واژه: منطق فازی, زنبورداری, گیاهان شهدزا, گیاهان گرده‌زا, مراتع تمین,
چکیده مقاله :
ارزیابی پتانسیل مراتع برای توسعه استفاده چندمنظوره و استفاده صحیح از توانمندی‌های این منابع یک چالش جدی برای مدیریت مراتع است. در این راستا این پژوهش با هدف ارزیابی شایستگی مراتع به‌منظور توسعه کاربری زنبورداری با استفاده از روش منطق فازی در محیط نرم افزار Arc GIS در مراتع تمین در شمال تفتان انجام شد. بدین‌منظور نمونه‌برداری از پوشش گیاهی در تیپ‌های گیاهی منطقه به روش تصادفی-سیستماتیک با استقرار 3 ترانسکت 300 متری انجام شد. پس از تعیین اولویت معیارهای مؤثر در شایستگی زنبورداری با استفاده از روش پیشنهادی فائو، معیارهای مؤثر از طریق پرسشنامه توسط کارشناسان و متخصصین، اولویت‌بندی و وزن‌دهی شد. در مرحله بعد روش منطق فازی بر روی معیارها اعمال شد. در نهایت نقشه نهایی شایستگی منطقه جهت کاربری زنبورداری تهیه شد. نتایج نشان داد که بر اساس روش منطق فازی از مجموع 5572 هکتار اراضی مرتعی منطقه مورد مطالعه، 4/1387 هکتار (9/24 درصد) در طبقه شایستگی S1 (بدون محدودیت)، 3/1571 هکتار (2/28 درصد) در طبقه شایستگی S2 (با محدودیت اندک)، 2/2262هکتار (6/40 درصد) در طبقه شایستگی S3 (با محدودیت زیاد) و 351 هکتار (3/6درصد) در طبقه شایستگی N (غیرشایسته) برای استفاده زنبورداری است. علاوه بر این، ارزش شاخص پوشش گیاهی (84/0) بیشتر از دسترسی به منابع آب(81/0) و عوامل محیطی (37/0) است. با توجه به نتایج حاصل، مناطق شرقی مراتع تمین از شایستگی بالاتری جهت کاربری زنبورداری برخوردار بوده و این موضوع می‌بایستی در توسعه کاربری زنبورداری و مدیریت پوشش گیاهی مراتع تمین مورد توجه قرار گیرد.
Assessing the potential of rangelands for the development of multi-purpose use and the propre utilization of the capabilities of these resources is a serious challenge for managing pastures. in this regard, this research was conducted with the aim of evaluating the competence of the Tamin rangelands in order to develop beekeepers by using Fuzzy logic method in the arc GIS software environment in the Tamin rangelands in northern Taftan. For this purpose, sampling was carried out in vegetation brigades of the region by systematic randomization method with the establishment of three 300 meter transects. After determining the effective measures in determining the suitability of beekeepers using the proposed FAO method, effective measures were firstly weighed by experts . in the next step Fuzzy logic was applied to the criteria. Generally, the results of apiculture model In Fuzzy logic method showed that 24.9 of land units was classified as high suitable (S1), 28.2 with moderate suitability(S2), 40.6 with low suitability(S3) and 6.3 non suitable (N) for use apiculture. In addition, the index weight of vegetation cover factor (0.84) is more than access to water resources (0.81) and environmental and physical factors (0.37). According to the results of Fuzzy logic method, the eastern regions of the rangelands of Tamin have a higher suitability for apiculture, and this should be considered in the development of apiculture and vegetation management in the rangelands of Tamin.
Reference
1- Aama Azghadi, A., Khorassani. R., Mokarram, M. & Moezi, A. 2010. Soil Fertility Evaluation Based on Soil K, P and Organic Matter Factors for Wheat by Using Fuzzy Logic-AHP and GIS Techniques. Journal of Water and Soil. Vol.24 (5): 973-984.
2- Ahmadi Mirghaed, F., Souri, B. & PirBavaghar, M. 2013. Application of Fuzzy Multi criteria Evaluation to DevelopAgricultural and Range management land Use in Gheshlagh Dam Watershed. Journal of Wetland Ecobiology, Vol. 4 (4): 69-81.
3- Alavi, I., Akbari, A. & Parsaei, M. 2011. Plant type Selection for Sarcheshmeh Copper Mine reclamation by Fuzzy-AHP method, Blour Science and Expertism Magazine, Amirkabir University of Technology, 29:10-17.
4- Amiri ,M. J. Salman Mahini , A.R. Jalali , Gh., Hosseini , M., & Azari Dehkordi, F. 2010. A Comparison of Maps Overlay Systemic Method and Boolean-Fuzzy Logic in the Ecological Capability Evaluation of No. 33 and 34 Watershed Forests in Northern Iran. Environmental Sciences,Vol 7(2): 109-124.
5- Amiri, F. & Arzani. 2012. Determination of site priority for apiculture by using Analytical Hierarchy Process (AHP) method. Iranian Journal of Range and Desert Research, Vol. 19 (1): 159-177.
6- Amiri,F. & Shariff, B. A. R. 2012. Application of Geographic Information Systems in Land Use Suitability Evaluation for Beekeeping: A case Study of Vahregan Waershed (Iran). African Journal of Agricultural Research, Vol. 7(1):89-97.
7- Brail, R. 2001. Planning support system. Integrating Geographic Information System, models and visualization tools. USA, ESRI-Press.
8- Chang, G. 2008. Combining GIS with Fuzzy multicriteria decision-making siting in afastgrowing urban region. Journal of Environmental Management, 87(1): 139-153.
9- Eslami Farouji, A., Rahbarian, R. & Mirbolouk, A. 2017. An Investigation of the Relationship between Soil Characteristics and Flora in the North East of Iran (A Case Study of Golbahar, Frizi, Doabi and Boujan Regions). Journal of Plant and Biomass, vol. 12 (49): 25-41.
10- Estoque, R. C. and Murayana, Y. 2010. Suitability analysis for beekeeping sites in la union, Philippines, using GIS and multi-criteria evaluation techniques. Journal of applied sciences, 3: 242-253.
11- Fadai, Sh., Arzani, H., Azarnivand, H., Nehzati, Gh. A. Kaboli, S. H. & Amiri, F. 2011. A Study of range suitability model for apliculture by using GIS (Case study: Central Taleghan rangelands). Journal of Applied RS & GIS Techniques in Natural Resource Science, Vol. 2 (1): 31-47.
12- Faghih, A. R., Ebadi, R., Nazarian, H. & Noroozi, M. 2005. Determination of Attractiveness of Different Plants for Honey Bees in Khansar and Faridan. Iranian Journal of Agriculture Science, Vol. 36(3): 521-536.
13- FAO. 1991. A framework for land evaluation. Food and Agriculture Organization of the United Nation, Soiles Bulletion 32. FAO, Rome.158 p.
14- Filippo, S., Martins Ribeiro, P. C. & Ribeiro, S. K. 2007. A Fuzzy Multi-Criteria Model applied to management of the environmental restoration of paved highways, Trasporation Research Part D, 12: 423-436.
15- Ghodsipoor, H. 2002. Analytical Hierarchy Process (AHP). Tehran: Amirkabir Publication. 222pp.
16- Hassani, Gh., Mahvi, A. H., Nasseri, S., Arabalibeik, H. Yunnesian, M. & Gharibi, H. 2012. Designing Fuzzy-Based Ground Water Quality Index. Journal of Health, Vol.3 (1):18-31.
17- Hill, M. & Braaten, R. 2005. Multi-criteria decision analysis in spatial decision support: the Assess AHP and the role of quantitative methods and spatially explicit analysis. Environmental Modelig & Software. 20: 955-976.
18- Imani, N. & Souri, M. 2016. Site selection of Range improved practices using spatial decision support system (Case Study: gushchi col). Journal of Natural Environment (Iranian Journal of Natural Recources). Vol.69 (4): 899-916.
19- Karimi, A. R., Mehrdadi, N., Hashemian, S. J., Nabi Bidhendi, G. R. & Tavakkoli-Moghaddam, R. 2011. Selection of wastewater treatment process based on the analytical hierarchy process and fuzzy analytical hierarchy process methods. International Journal of Environ. Sci. Tech., 8(2):267-280.
20- Kohansal, R. & Rafiei Darani, H. 2008. Choicing and ranking of sprinkler irrigation and traditional irrigation in Khorasan Razavi province, Journal of Agriculturl Seience and Technology. Vol.22(1): 91-104.
21- Kooch, Y. & Najafi, A. 2011. Ecological Potential Assessment of Forest Group Using fuzzy set Theory and Regression Analysis of Soil Characteristics (Case Study: Khanikan Forest, Chalus, Iran). Journal of Wood & Forest Science and Technology, vol. 18 (1): 43-60.
22- Lio, k. F. R. & Yu, C. W. 2009. Integrating case- based and Fuzzy Reasoning to Qualitatively predict Risk in an Environmental Impact Assessment Review. Environmental Modeling and Software. 24: 1241-1251.
23- Lotfi, S., Habibi, K. & Koohsari, M. J. 2009. An Analysis of Urban land Development Using Mlti Criteria Decision Model and Geographical Information System (A case Study of Babolsar City). American Journal of Environmental Sciences, 5 (1): 87-93.
24- Moradi, S., Kalantari, N. & Charchi, A. 2016. Karstification Potential Mapping in Northeast of Khuzestan Province, Iran, using Fuzzy Logic and Analytical Hierarchy Process (AHP) techniques. Geopersia 6(2): 265-282.
25- Movaghari, M., Arzani, H., Tavili, A., Azarnivand, H., Sarvari, M. & Farahpoor, M. 2015. Suitability of medicinal plants in rangelands of Lasem Watershed (Amol-Mazandaran Province). Iranian Journal of Medicinal and Aromatic Plants, Vol. 30 (6): 898-914.
26- Naghashzargaran, M. 2001. Foliage biomass, leaf area index and their relationship to some characteristics of forest stand and soil in a permanent plot located in mid-elevation of Caspian forests. A Thesis presented the master of science degree in forestry engineering. Gorgan university.
27- Nemati, S. A., Tahmasbi, G. H. & Noori, M. 2015. Relative contribution of different managing factors on production of honeybee colonies in Alborz province. Animal Production Research, Vol.3 (4): 89-98.
28- Omkarprasad, V and Sushil, K. 2004. AHP: An overview of applications, Aprill. Building and Environment. 42: 310-316.
29- Pislaru, M. & Trandabat, A. 2012. Assessment of Environmental Impact using Fuzzy logic, International Proceedings of Chmical, Biological & Enviromental, Vol. 32: 97.
30- Plillis, H. And Andriantiatsaholiniaina, L, A. 2001. Sustainability: anill-defined Concept and its Assissment using Fuzzy logic, Ecological Economics, 37(3): 435-456.
31- Rajesh, B. Murayama, Y. 2007. Land evaluation for peri – urban agriculture using AHP Prosses and GIS: A case studyof Hanoi, Geo ennironmental Science, Graduate Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki. 305-8572.
32- Rastgar, Sh., Barani, H., Sepehri, A. & Akbarzadeh, M. 2008. Determination of rangeland plants attractiveness for honey bees and setting the apiculture calendar (Case study: Polour summer rangelands).Journal of Science natural Resource, Vol.15 (1). (In Persian).
33- Safaeian, R. 2005. Multiple use of rangeland (Case study: Taleghan region). MS.c thesis, department of Natural Resources, Tehran University. 110 p (In Persian language).
34- Shadfar, T. 2015. Application of fuzzy logic operators for investigation of Gully erosion using GIS (Case study: Troud watershed basin). Scientific-Research Quarterly of Geographical Data, Vol. 23 (92): 35-42.
35- Shahrestani, N. 2002. Bee and Nursery. Sepehr Publishers. 456pp.
36- Sicat, R. S., Carranaza, E,M. & Nidumolu, U,B . 2005. Fuzzy modeling of farmers khowledge for land suitability classification Journal of Agricultural system, 83: 322-329.
37- Sour, A., Arzani, H., Tavili, A., Farahpour, M. & Alizadeh, E. 2013. Assessing rangeland suitability guidelines for apiculture. Journal of Iranian Range Management Society, Vol. 7(2):110-123.
38- Villacreses, G., Gaona, G., Martinez-Gomes, J. & Joan Jion, D. 2017. Wind farms suitability location using geographical information systems (GIS). Based on multi criteria decision making (MCDM) methods: the case of continental Ecuador. get rights and content. 109: 275-286.
39- Wang, G. Qin, L. Li,G. Chen, L. 2009. Landfill site selection using spatial informationtechnologies and AHP: A case study in Beijing, China, Journal of Environmental Management, 90: 2414-2421.
40- Yari, R., Heshmati, Gh. & Rafiei, H. 2016. Assessing the potential of beekeeping and determination of attractiveness range plants used bee by using geographic information system in Char-Bagh summer rengelands, Golestan. Rs & Gis for Natural Resources, Vol. 7 (3):1-17.
41- Zarebidoki, G. & Mollakhalili, M. H. 2015. An Introduction to the flora, Life form and Growth form and a Study of the Durability of plant life in Bagh- Shadi Protected Area of Yazd. Journal of Plant and Biomass, Vol. 11 (44): 23-43.
42- Zolekar, R. B. & Bhagat, V.S. 2015. Use of IRS P6 LISS-IV data for land suitability analysis for cashew plantation in hilly zone. Asian Journal Geoinform. 14(3): 23-35.
_||_
Reference
1- Aama Azghadi, A., Khorassani. R., Mokarram, M. & Moezi, A. 2010. Soil Fertility Evaluation Based on Soil K, P and Organic Matter Factors for Wheat by Using Fuzzy Logic-AHP and GIS Techniques. Journal of Water and Soil. Vol.24 (5): 973-984.
2- Ahmadi Mirghaed, F., Souri, B. & PirBavaghar, M. 2013. Application of Fuzzy Multi criteria Evaluation to DevelopAgricultural and Range management land Use in Gheshlagh Dam Watershed. Journal of Wetland Ecobiology, Vol. 4 (4): 69-81.
3- Alavi, I., Akbari, A. & Parsaei, M. 2011. Plant type Selection for Sarcheshmeh Copper Mine reclamation by Fuzzy-AHP method, Blour Science and Expertism Magazine, Amirkabir University of Technology, 29:10-17.
4- Amiri ,M. J. Salman Mahini , A.R. Jalali , Gh., Hosseini , M., & Azari Dehkordi, F. 2010. A Comparison of Maps Overlay Systemic Method and Boolean-Fuzzy Logic in the Ecological Capability Evaluation of No. 33 and 34 Watershed Forests in Northern Iran. Environmental Sciences,Vol 7(2): 109-124.
5- Amiri, F. & Arzani. 2012. Determination of site priority for apiculture by using Analytical Hierarchy Process (AHP) method. Iranian Journal of Range and Desert Research, Vol. 19 (1): 159-177.
6- Amiri,F. & Shariff, B. A. R. 2012. Application of Geographic Information Systems in Land Use Suitability Evaluation for Beekeeping: A case Study of Vahregan Waershed (Iran). African Journal of Agricultural Research, Vol. 7(1):89-97.
7- Brail, R. 2001. Planning support system. Integrating Geographic Information System, models and visualization tools. USA, ESRI-Press.
8- Chang, G. 2008. Combining GIS with Fuzzy multicriteria decision-making siting in afastgrowing urban region. Journal of Environmental Management, 87(1): 139-153.
9- Eslami Farouji, A., Rahbarian, R. & Mirbolouk, A. 2017. An Investigation of the Relationship between Soil Characteristics and Flora in the North East of Iran (A Case Study of Golbahar, Frizi, Doabi and Boujan Regions). Journal of Plant and Biomass, vol. 12 (49): 25-41.
10- Estoque, R. C. and Murayana, Y. 2010. Suitability analysis for beekeeping sites in la union, Philippines, using GIS and multi-criteria evaluation techniques. Journal of applied sciences, 3: 242-253.
11- Fadai, Sh., Arzani, H., Azarnivand, H., Nehzati, Gh. A. Kaboli, S. H. & Amiri, F. 2011. A Study of range suitability model for apliculture by using GIS (Case study: Central Taleghan rangelands). Journal of Applied RS & GIS Techniques in Natural Resource Science, Vol. 2 (1): 31-47.
12- Faghih, A. R., Ebadi, R., Nazarian, H. & Noroozi, M. 2005. Determination of Attractiveness of Different Plants for Honey Bees in Khansar and Faridan. Iranian Journal of Agriculture Science, Vol. 36(3): 521-536.
13- FAO. 1991. A framework for land evaluation. Food and Agriculture Organization of the United Nation, Soiles Bulletion 32. FAO, Rome.158 p.
14- Filippo, S., Martins Ribeiro, P. C. & Ribeiro, S. K. 2007. A Fuzzy Multi-Criteria Model applied to management of the environmental restoration of paved highways, Trasporation Research Part D, 12: 423-436.
15- Ghodsipoor, H. 2002. Analytical Hierarchy Process (AHP). Tehran: Amirkabir Publication. 222pp.
16- Hassani, Gh., Mahvi, A. H., Nasseri, S., Arabalibeik, H. Yunnesian, M. & Gharibi, H. 2012. Designing Fuzzy-Based Ground Water Quality Index. Journal of Health, Vol.3 (1):18-31.
17- Hill, M. & Braaten, R. 2005. Multi-criteria decision analysis in spatial decision support: the Assess AHP and the role of quantitative methods and spatially explicit analysis. Environmental Modelig & Software. 20: 955-976.
18- Imani, N. & Souri, M. 2016. Site selection of Range improved practices using spatial decision support system (Case Study: gushchi col). Journal of Natural Environment (Iranian Journal of Natural Recources). Vol.69 (4): 899-916.
19- Karimi, A. R., Mehrdadi, N., Hashemian, S. J., Nabi Bidhendi, G. R. & Tavakkoli-Moghaddam, R. 2011. Selection of wastewater treatment process based on the analytical hierarchy process and fuzzy analytical hierarchy process methods. International Journal of Environ. Sci. Tech., 8(2):267-280.
20- Kohansal, R. & Rafiei Darani, H. 2008. Choicing and ranking of sprinkler irrigation and traditional irrigation in Khorasan Razavi province, Journal of Agriculturl Seience and Technology. Vol.22(1): 91-104.
21- Kooch, Y. & Najafi, A. 2011. Ecological Potential Assessment of Forest Group Using fuzzy set Theory and Regression Analysis of Soil Characteristics (Case Study: Khanikan Forest, Chalus, Iran). Journal of Wood & Forest Science and Technology, vol. 18 (1): 43-60.
22- Lio, k. F. R. & Yu, C. W. 2009. Integrating case- based and Fuzzy Reasoning to Qualitatively predict Risk in an Environmental Impact Assessment Review. Environmental Modeling and Software. 24: 1241-1251.
23- Lotfi, S., Habibi, K. & Koohsari, M. J. 2009. An Analysis of Urban land Development Using Mlti Criteria Decision Model and Geographical Information System (A case Study of Babolsar City). American Journal of Environmental Sciences, 5 (1): 87-93.
24- Moradi, S., Kalantari, N. & Charchi, A. 2016. Karstification Potential Mapping in Northeast of Khuzestan Province, Iran, using Fuzzy Logic and Analytical Hierarchy Process (AHP) techniques. Geopersia 6(2): 265-282.
25- Movaghari, M., Arzani, H., Tavili, A., Azarnivand, H., Sarvari, M. & Farahpoor, M. 2015. Suitability of medicinal plants in rangelands of Lasem Watershed (Amol-Mazandaran Province). Iranian Journal of Medicinal and Aromatic Plants, Vol. 30 (6): 898-914.
26- Naghashzargaran, M. 2001. Foliage biomass, leaf area index and their relationship to some characteristics of forest stand and soil in a permanent plot located in mid-elevation of Caspian forests. A Thesis presented the master of science degree in forestry engineering. Gorgan university.
27- Nemati, S. A., Tahmasbi, G. H. & Noori, M. 2015. Relative contribution of different managing factors on production of honeybee colonies in Alborz province. Animal Production Research, Vol.3 (4): 89-98.
28- Omkarprasad, V and Sushil, K. 2004. AHP: An overview of applications, Aprill. Building and Environment. 42: 310-316.
29- Pislaru, M. & Trandabat, A. 2012. Assessment of Environmental Impact using Fuzzy logic, International Proceedings of Chmical, Biological & Enviromental, Vol. 32: 97.
30- Plillis, H. And Andriantiatsaholiniaina, L, A. 2001. Sustainability: anill-defined Concept and its Assissment using Fuzzy logic, Ecological Economics, 37(3): 435-456.
31- Rajesh, B. Murayama, Y. 2007. Land evaluation for peri – urban agriculture using AHP Prosses and GIS: A case studyof Hanoi, Geo ennironmental Science, Graduate Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki. 305-8572.
32- Rastgar, Sh., Barani, H., Sepehri, A. & Akbarzadeh, M. 2008. Determination of rangeland plants attractiveness for honey bees and setting the apiculture calendar (Case study: Polour summer rangelands).Journal of Science natural Resource, Vol.15 (1). (In Persian).
33- Safaeian, R. 2005. Multiple use of rangeland (Case study: Taleghan region). MS.c thesis, department of Natural Resources, Tehran University. 110 p (In Persian language).
34- Shadfar, T. 2015. Application of fuzzy logic operators for investigation of Gully erosion using GIS (Case study: Troud watershed basin). Scientific-Research Quarterly of Geographical Data, Vol. 23 (92): 35-42.
35- Shahrestani, N. 2002. Bee and Nursery. Sepehr Publishers. 456pp.
36- Sicat, R. S., Carranaza, E,M. & Nidumolu, U,B . 2005. Fuzzy modeling of farmers khowledge for land suitability classification Journal of Agricultural system, 83: 322-329.
37- Sour, A., Arzani, H., Tavili, A., Farahpour, M. & Alizadeh, E. 2013. Assessing rangeland suitability guidelines for apiculture. Journal of Iranian Range Management Society, Vol. 7(2):110-123.
38- Villacreses, G., Gaona, G., Martinez-Gomes, J. & Joan Jion, D. 2017. Wind farms suitability location using geographical information systems (GIS). Based on multi criteria decision making (MCDM) methods: the case of continental Ecuador. get rights and content. 109: 275-286.
39- Wang, G. Qin, L. Li,G. Chen, L. 2009. Landfill site selection using spatial informationtechnologies and AHP: A case study in Beijing, China, Journal of Environmental Management, 90: 2414-2421.
40- Yari, R., Heshmati, Gh. & Rafiei, H. 2016. Assessing the potential of beekeeping and determination of attractiveness range plants used bee by using geographic information system in Char-Bagh summer rengelands, Golestan. Rs & Gis for Natural Resources, Vol. 7 (3):1-17.
41- Zarebidoki, G. & Mollakhalili, M. H. 2015. An Introduction to the flora, Life form and Growth form and a Study of the Durability of plant life in Bagh- Shadi Protected Area of Yazd. Journal of Plant and Biomass, Vol. 11 (44): 23-43.
42- Zolekar, R. B. & Bhagat, V.S. 2015. Use of IRS P6 LISS-IV data for land suitability analysis for cashew plantation in hilly zone. Asian Journal Geoinform. 14(3): 23-35.
