ارزیابی توان اکولوژیکی به منظور جنگل‌کاری و افزایش سطح جنگل با استفاده از عمل گر گاما و AHP
محورهای موضوعی :
آمایش سرزمین
سحر طبیبیان
1
,
سید آرمین هاشمی
2
,
امیر حسین فیروزان
3
,
مهسا حکیمی عابد
4
,
سیروس بیدریغ
5
,
حمیده کاووسی
6
1 - استادیار گروه منابع طبیعی و محیط زیست ، دانشگاه پیام نور، تهران، ایران * (مسوول مکاتبات)
2 - دانشیار گروه جنگل‌داری ،واحد لاهیجان ،دانشگاه ازاد اسلامی واحد لاهیجان ،لاهیجان ، ایران
3 - استادیار گروه جنگل‌داری ،واحد لاهیجان ،دانشگاه ازاد اسلامی واحد لاهیجان ،لاهیجان ، ایران
4 - استادیار گروه محیط زیست ،واحد لاهیجان ،دانشگاه ازاد اسلامی واحد لاهیجان ،لاهیجان ، ایران
5 - استادیار گروه کشاورزی ،واحد لاهیجان ،دانشگاه ازاد اسلامی واحد لاهیجان ،لاهیجان ، ایران
6 - کارشناس ارشد سنجش ازدور و GIS، دانشگاه علوم و تحقیقات ، یزد ، ایران
تاریخ دریافت : 1396/08/29
تاریخ پذیرش : 1396/12/20
تاریخ انتشار : 1399/01/01
کلید واژه:
شهرستان تالش,
توان اکولوژیک,
مناطق جنگل‌کاری,
گاما,
AHP,
چکیده مقاله :
زمینهوهدف : بررسی توان اکولوژیک سرزمین به منظور افزایش سطح جنگل‌کاری از اهداف این بررسی می‌باشد.روش بررسی : ابتدا نقشه های شیب، ارتفاع از سطح دریا، جهات جغرافیایی، دما، بارش، رطوبت، خاک، درصد تاج پوشش و شیب با رقومی کردن داده های دریافتی از سازمان ها و ادارات مربوطه آماده شدند. برای ارزیابی توان اکولوژیک توابع عضویت فازی استاندارد شد. سپس معیارهای مورد استفاده در ارزیابی بر اساس روش ارزیابی چند معیاره و فرآیند تحلیل سلسله مراتبی و با استفاده از نرم افزار Expert choice اولویت بندی شدند و وزن نهایی مربوط به هر معیار تعیین شد .یافته‌ها : معیار ارتفاع از سطح دریا دارای بیشترین ارزش در معیارها بوده و معیار شیب دارای کم‌ترین ارزش در معیارهاست. نتایج تحقیق حاضر نشان داد که توان اکولوژیک باعامل‌های اکولوژیک به ویژه عامل‌های اقلیمی و فیزیوگرافی، رابطه مستقیم دارد. نتایج ارزیابی توان اکولوژیک برای جنگل‌کاری با عملگر AND نشان می‌دهد که 5566 هکتار از منطقه در کلاسه با توان خیلی زیاد قرار دارد و نتایج ارزیابی توان اکولوژیک برای جنگل‌کاری با عملگر گاما نشان می‌دهد که 3098 هکتار از منطقه در کلاسه با توان خیلی زیاد قرار دارد .بحثونتیجهگیری : با توجه به اینکه حدود 60 درصد از سطح منطقه مورد مطالعه از جنگل پوشیده شده است و با توجه به نتایج ارزیابی توان اکولوژیک به منظور جنگل‌کاری ، این مطالعه می‌تواند در شناخت توان جنگل‌داری و در نتیجه توسعه جنگل‌داری در این منطقه مؤثر باشد.
چکیده انگلیسی:
Background and aim: The aim of this study is to investigate the ecological potential of the land in order to increase the level of afforestation.Method: Initially, gradient maps, altitudes above sea level, geographical directions, temperature, rainfall, humidity, soil, canopy percentage with digitizing data received from relevant organizations and agencies. To evaluate ecological capability, fuzzy membership functions were standardized. In the following, the criteria used in the evaluation were prioritized based on multi-criteria evaluation and analytical hierarchy process and using the Expert selection software, the final weight was determined for each criterion.Findings: The criterion of altitude from the sea level has the highest value in the criteria and the criterion of gradient has the lowest value in the criteria. The results of this study showed that ecological power is directly related to ecological factors, especially climatic and physiographic factors. The results of the ecological capability assessment for afforestation operations with AND activated show that 5566 hectares of land are located in a very high class. The results of ecological capability assessment for afforestation with gamma activated show that 3098 hectares from the area are very large in class.Discussion and Conclusion: Finally, considering that about 60% of the area of the study area is covered with forest, according to the results of ecological power assessment for forestry, this study can be effective in recognizing the forestry potential and as a result of forestry development in this region.
منابع و مأخذ:
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Moradzadeh, F., Babaei, S., 2011.Evaluation of Ecological Capacity of Forest Surface Development Using GIS) (Case Study: Dadabad Area in Lorestan Province). Journal of Renewable Natural Resources Research, pp.64-74. Persian
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Poorkhabaz,H., Aghdar,H, Mohamadyari,F.,2015..Land suitability assessment for agricultural land use determination using ANP-DEMATEL and FAHP Chang Multilevel Decision Making Models (Case Study: Behbahan Margin). Environmental Studies, Vol. 41, pp. 429-445. Persian
Zare, R., Babaei , S.,2010.Evaluation of Habitat Capacity to Determine Suitable Forests Species in Southern Alborz Slopes Using GIS (Case Study: Vasieh Valley Watershed). Journal of Renewable Natural Resources Research, pp.55-67. Persian
Pukkala, T., 2002. Multi- objective Forest Planning, Kluwer Academic publisher
Baskent, E. and Keles, S., 2005. Spatial forest planning: a review. Ecological modeling, Vol. 188, pp.145- 173
Kangas, J. and kangas, A., 2007. Multiple criteria decision support in forest management- the approach, methods applied, and experiences gained. Forest Ecology and Management, pp. 133- 143
Rossiter, D. G,. 1996. A theorical framework for land evaluation. Geoderama, Vol.72, pp. 190-195
Jiang Fan, D., 2007. Analysis of the Biodiversity Restoration of Different Forest Types in Maoer. Mountainous Region, Vol.12, pp.77-82
Graymore, M., Wallis, A., Richards, A., 2009. An index of regional sustainability: A GIS-based multiple criteria analysis decision support system for progressing sustainability. Ecological Complexity, pp.345-355
Reshmidevi, T.V., Eldho, T.L. and Jana, R., 2009. A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural. Watersheds, Agricultural Systems, Vol. 101, pp.101 –109
Alesheikh, A., Soltani, M., Nouri, N., Khalilzadeh, M., 2008. Land Assessment for Flood Spreading Site Selection Using Geospatial Information System. International Journal of Environmental Science and Technology, Vol. 5(4), pp.455-462
Jiang, H. and Eastman,R., 2000.Application of fuzzy measurement in multi_ critria evaluation in GIS. International Journal of Geographic Information System, Vol.14, pp.173-184
Abd el-kawy, O., Ismail, H., ROD, J, Suliman, A.,2010. A Developed GIS-based Land Evaluation Model for Agricultural Land Suitability Assessments in Arid and Semi-Arid Regions. Research Journal of Agriculture and Biological Sciences, Vol.6(5), pp.589-599
Hasmadi, I., 2009. Developing policy for suitable harvest zone using multi criteria evaluation and GIS-based decision support system. International Journal of economics and finance, Vol.1(2), pp. 105-117
Dengiz, O., Gol, C., Sarioglu, F., Edis, S., 2010. Parametric approach to land evaluation for forest plantation: A methodological study using GIS model. African Journal of Agricultural Research, Vol. 5(12), pp. 1482–1496
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Makhdoom, M., 2009. The Basis of Land Planning, University of Tehran Publications. Persian
Hamid Reza, A., Mohajer, M., Mohammad Reza, M., 2008. Effective factors on ecological capability in the northern forest of Iran. Iranian journal of Forests and Poplar Research, Vol. 15, pp. 289-300. Persian
Kahnooee, M., 2000.Investigating the evolution of the statistics of the extent of the northern forests and its challenges. Organization of Forests and Rangelands, Proceedings of the North Forest Management and Sustainable Development Conference, pp. 447-460. Persian
Mahdie, M., 2010. Ecological Capacity Development for Afforestation Using Geographic Information System (GIS), Case Study (Ghale Gol Watershed, Khorramabad City), MSc, University of Guilan, Faculty of Natural Resources, Department of Forestry. Persian
Ahmadi Sani, N., Balighi, S., Javanmard, A.,2015. Study and Comparison of Ecological Potential and Current Uses in Lands Located in South of Urmia Based on Land Use Planning Principles. Journal of Agricultural science and sustainable production, Vol. 24, pp.127-137. Persian
Moradzadeh, F., Babaei, S., 2011.Evaluation of Ecological Capacity of Forest Surface Development Using GIS) (Case Study: Dadabad Area in Lorestan Province). Journal of Renewable Natural Resources Research, pp.64-74. Persian
Babaei, S., 2005. Environmental Assessment of Forests for Classification of Forest Lands by GIS (Case Study in Kazem Rood Basin - Northern Forests of Iran). Journal of Agricultural Sciences. Vol.12, pp. 80-87. Persian
Poorkhabaz,H., Aghdar,H, Mohamadyari,F.,2015..Land suitability assessment for agricultural land use determination using ANP-DEMATEL and FAHP Chang Multilevel Decision Making Models (Case Study: Behbahan Margin). Environmental Studies, Vol. 41, pp. 429-445. Persian
Zare, R., Babaei , S.,2010.Evaluation of Habitat Capacity to Determine Suitable Forests Species in Southern Alborz Slopes Using GIS (Case Study: Vasieh Valley Watershed). Journal of Renewable Natural Resources Research, pp.55-67. Persian
Pukkala, T., 2002. Multi- objective Forest Planning, Kluwer Academic publisher
Baskent, E. and Keles, S., 2005. Spatial forest planning: a review. Ecological modeling, Vol. 188, pp.145- 173
Kangas, J. and kangas, A., 2007. Multiple criteria decision support in forest management- the approach, methods applied, and experiences gained. Forest Ecology and Management, pp. 133- 143
Rossiter, D. G,. 1996. A theorical framework for land evaluation. Geoderama, Vol.72, pp. 190-195
Jiang Fan, D., 2007. Analysis of the Biodiversity Restoration of Different Forest Types in Maoer. Mountainous Region, Vol.12, pp.77-82
Graymore, M., Wallis, A., Richards, A., 2009. An index of regional sustainability: A GIS-based multiple criteria analysis decision support system for progressing sustainability. Ecological Complexity, pp.345-355
Reshmidevi, T.V., Eldho, T.L. and Jana, R., 2009. A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural. Watersheds, Agricultural Systems, Vol. 101, pp.101 –109
Alesheikh, A., Soltani, M., Nouri, N., Khalilzadeh, M., 2008. Land Assessment for Flood Spreading Site Selection Using Geospatial Information System. International Journal of Environmental Science and Technology, Vol. 5(4), pp.455-462
Jiang, H. and Eastman,R., 2000.Application of fuzzy measurement in multi_ critria evaluation in GIS. International Journal of Geographic Information System, Vol.14, pp.173-184
Abd el-kawy, O., Ismail, H., ROD, J, Suliman, A.,2010. A Developed GIS-based Land Evaluation Model for Agricultural Land Suitability Assessments in Arid and Semi-Arid Regions. Research Journal of Agriculture and Biological Sciences, Vol.6(5), pp.589-599
Hasmadi, I., 2009. Developing policy for suitable harvest zone using multi criteria evaluation and GIS-based decision support system. International Journal of economics and finance, Vol.1(2), pp. 105-117
Dengiz, O., Gol, C., Sarioglu, F., Edis, S., 2010. Parametric approach to land evaluation for forest plantation: A methodological study using GIS model. African Journal of Agricultural Research, Vol. 5(12), pp. 1482–1496
