| تعداد نشریات | 286 |
| تعداد نشریات سازمان | 84 |
| تعداد شماره‌ها | 3,027 |
| تعداد مقالات | 33,816 |
| تعداد مشاهده مقاله | 45,217,027 |
| تعداد دریافت فایل اصل مقاله | 58,880,662 |
مدلسازی و تعیین عوامل تأثیرگذار در انتشار گونه Festuca ovina با استفاده از روش آنتروپی حداکثر در مراتع نیمه شمالی استان اردبیل | ||
| تحقیقات مرتع و بیابان ایران | ||
| مقاله 6، دوره 27، شماره 3 - شماره پیاپی 80، مهر 1399، صفحه 433-462 اصل مقاله (1.88 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijrdr.2020.125233.1828 | ||
| نویسندگان | ||
| سحر غفاری1؛ اردوان قربانی* 2؛ مهدی معمری3؛ رئوف مصطفی‌زاده3؛ محمود بیدار لرد4؛ آزاد کاکه ممی1 | ||
| 1دانشجوی دکتری علوم مرتع، دانشکده‌ی کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران | ||
| 2دانشیار دانشکده‌ی کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی،اردبیل، ایران | ||
| 3استادیار، دانشکده‌ی کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران | ||
| 4استادیار پژوهشی، بخش تحقیقات جنگل‌ها، مراتع و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گیلان، سازمان تحقیقات، آموزش و ترویج کشاورزی (AREEO)، رشت.ایران | ||
| چکیده | ||
| این تحقیق با هدف پیش‌بینی گسترش رویشگاه گونه Festuca ovina با روش آنتروپی حداکثر و تعیین عوامل مؤثر بر انتشار آن در گرادیان ارتفاعی مراتع مغان-سبلان استان اردبیل انجام شد. 28 مکان مطالعاتی انتخاب و در هر مکان مطالعاتی 3 ترانسکت و در طول هر ترانسکت 100 متری 10 پلات یک مترمربعی با فاصله ده متر از یکدیگر برای نمونه‌برداری انتخاب شد. نمونه‌برداری خاک در هر مکان مطالعاتی، از دو عمق 15-0 و 30-15 سانتی‌متری انجام شد. خصوصیات خاک با استفاده از روش‌های آمار مکانی، خصوصیات توپوگرافی با استفاده از مدل رقومی ارتفاع، اطلاعات اقلیمی با استفاده از داده‌های هواشناسی منطقه و سنجه‌های سیمای سرزمین به کمک نقشه کاربری تهیه شد. نقشه پیش‌بینی مربوط به پراکنش گونه F.ovina با استفاده از روش مدلسازی آنتروپی حداکثر تهیه شد. نقش عوامل محیطی مؤثر بر پراکنش گونه با استفاده از روش جک‌نایف و منحنی‌های پاسخ بررسی گردید. متغیرهای ارتفاع، شیب، تغییرات اندازه ضریب لکه، پتاسیم عمق 30-15 و آهک عمق 15-0 بیشترین سهم را در مدل داشتند. شاخص سطح زیر منحنی (AUC) برابر 86/0 به‌دست آمد که نشان‌دهنده صحت و کارایی متوسط مدل در شناسایی مطلوب‌ترین مناطق پراکنش است. ضریب کاپای حاصل از مقایسه نقشه‌های پیش‌بینی و واقعی مقدار 72/0 به‌دست آمد که در سطح خیلی خوب است. | ||
| کلیدواژه‌ها | ||
| مدلسازی آشیان بوم‌شناختی؛ مطلوبیت زیستگاه؛ زمین آمار | ||
| عنوان مقاله [English] | ||
| Modeling and determining effective factors in distribution of Festuca ovina using Maxent in rangelands of northern Ardabil province | ||
| نویسندگان [English] | ||
| sahar ghafari1؛ Ardavan Ghorbani2؛ mehdi moammeri3؛ Raoof Mostafazadeh3؛ Mahmoud Bidar Lord4؛ azad Kake mami1 | ||
| 1Ph.D. Student of Rangeland Science, Faculty of Agricultural Technology and Natural Resources, University of MohagheghArdabili, Ardabil, Iran | ||
| 2Associate Professor, Faculty of agricultural technology and natural resources, University of Mohaghegh Ardabili | ||
| 3Assistant Professor, Faculty of Agricultural Technology and Natural Resources, University of MohagheghArdabili, Ardabi, Iran | ||
| 4Research Assistant Professor, Watershed Management, Forests and Rangelands Research Department, Gilan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Rasht, Iran | ||
| چکیده [English] | ||
| The aim of this study was to predict the habitat expansion of Festuca ovina by maximum entropy method and to determine the effective factors on its spread in the elevation gradient of Moghan-Sabalan rangelands of Ardabil province. The 28 study sites were selected and in each study site 3 transects and along each 100-meter transect 10 plots of 1 1m2 with a distance of 10 meters from each other were selected for sampling. Soil sampling in each study site was sampled from two depths of 0-15 and 15-30 cm. Soil properties using spatial statistics, topographic characteristics using digital elevation model, climatic information using meteorological data of the region, and land use measurements prepared with the help of a user map. Prediction maps related to the distribution of F.ovina were prepared using the maximum entropy modeling method. The role of environmental factors affecting the distribution of the species was investigated using the Jackknife method and response curves. Height variables, slope, patch size (coefficient of variation), potassium (15-30 cm depth), and lime (0-15cm depth) had the highest share in the model. The area under the curve index (AUC) was 0.86, which indicates the accuracy and average efficiency of the model in identifying the most desirable distribution areas. The kappa coefficient obtained from the comparison of forecast and actual maps was 0.72, which is at a very good level. | ||
| کلیدواژه‌ها [English] | ||
| Ecological niche modeling, Habitat suitability, Geostatistical | ||
| مراجع | ||
|
Ashrafzadeh, M. R. and Nazarian, A. R., 2018. Habitat suitability modelling for the Caspian Snowcock (Tetraogallus caspius), as a typical high-montane species. Iranian Journal of Natural Enviroment, 70(4): 745-756. -Bagheri, H., Ghorbani, A., Zare Chahouki, M. A., Jafari A. A. and Sefidy, K., 2017. Halophyte species distribution modeling with MaxEnt model in the surrounding rangelands of Meighan playa, Iran. Journal of Applied Ecology and Environmental Research, 15(3): 1473- 1484. -Bedia, J., Busque J. and Gutie ́rrez, J. M., 2011. Predicting plant species distribution across an alpine rangeland in northern Spain. A comparison of probabilistic methods. Journal of Applied Vegetation Science, 14: 415-432. -Buehler, E.C. and Ungar, L.H., 2011. Maximum entropy methods for biological sequence modeling. Workshop on Data Mining in Bioinformatics (BIOKDD). University of Pennsylvania. Philadelphia, 345 p. -Elith, J., Graham, C., Anderson, R. P., Dudik, M., Ferrier, S., Guisan, A., Hijmans, R. J., Huettmann, F., Leathwick, J.R., Lehmann, A., Li, J., Lohmann, L.G., Loiselle, B. A. and Manion, G., 2006. Novel methods improve prediction of species’ distribution from occurrence data. Ecography, 29: 129-151. -Elith, J., Kearney M. and Phillips, S., 2010. The art of modelling range-shifting species. Journal of Methods in Ecology and Evolution, 1: 330-342. -Esfanjani, J., Ghorbani, A. and Zare Chahouki, M. A., 2018. MaxEnt modeling for predicting Impacts of environmental factors on the potential distribution of Artemisia aucheri and Bromus tomentellus- Festuca ovina in Iran. Polish Journal of Environmental Studies, 27(3): 1041-4147. -Esfanjani, J., Zare Chahooki, M. A. Esmaeili, M. and Behmanesh, B., 2015. Habitat distribution modeling species ranges southern of Golestan province with logistic regression. Iranian Journal of Watershed Management Research, 108: 53-61. -Gaston, A. and Garcia-Vinas, J. I., 2011. Modelling species distributions with penalised logistic regressions: A comparison with maximum entropy models. Journal of Ecological Modelling, 222: 2037-2041. -Ghafari, S., Ghorbani, A. Moameri, M. Mostafazadeh, R. and Bidarlord, M. 2018. Composition and structure of species along altitude gradient in Moghan-Sabalan rangelands, Iran. Journal of Mountain Science, 15(6): 1209-1228. -Ghorbani, A. and Asghari, A., 2014. Ecological factors affecting the distribution of Festuca ovina in Southeastern rangelands of Sabalan. Iranian Journal of Range and Desert Research, 21(2): 368-381. -Ghorbani, A. and Bahrami, B., 2017. The influence environmental factors on the Distribution of Plant Species in the Southeast Rangelands of Sabalan. Iranian Journal of Watershed Management Research, 30(2): 15-29. -Ghorbani, A., Mohammadi Moghaddam, S. Hashemi Majd, K. and Dadgar, N. 2018. Spatial variation analysis of soil properties using spatial statistics: a case study in the region of Sabalan mountain, Iran. Journal of Eco.mont, 10(1): 60-70. -Ghorbani, A., Sharifi, J. Kavianpoor, A. H. Malekpour, B. and Mirzaei Aghche Gheshlagh, F., 2013. Investigation on ecological characteristics of Festuca ovina L. in south-eastern rangelands of Sabalan. Iranian Journal of Range and Desert Research, 20(2): 379-396. -Heidari, F., Dianati Tilaki, G. H. A. and Alavi, S. J., 2017. Evaluation on the response of Bromus tomentellus Boiss and Festuca ovina L., to some environmental variables using the Generalized Additive Model (GAM) in the rangeland of Galandrood watershed in Mazandaran province, Iran. Iranian Journal of Plant Biology, 9(3): 79-94. -Kavianpor, A. H., Ghorbani, A. and Heshmati, G. H. A., 2015. Application of spatial statistic in assessing canopy cover variation of rangeland plant species of sheep fescue. Iranian Journal of Natural Ecosystems of Iran, 5(3): 59-70. -Makhdoom, M., 2005. Foundation of land use planning, sixth edition. Tehran University press. p289. -Mirzaei Mossivand, A., Keivan Behjou, F. Ramak, P. and Zandi Esfahan, E., 2017. The study of some ecological factors affecting distribution of Festuca ovina in Rangelands, Lorestan Province-County Delfan. Iranian Journal of Natural Ecosystems of Iran, 7(4): 47-58. -Muunoz, J. and Felicisimo, A. M., 2004. Comparison of statistical methods commonly used in predictive modelling. Journal of Vegetation Science, 15, 285-292. -Nazari Anbaran, F., Ghorbani, A. Azimi Motem, F. Teymorzadeh, A. Asghari, A. and Hashemimajd, K., 2016. Floristic and species diversity in altitudinal gradient of Lahrod-Shabil (North Sabalan). Iranian Journal of Plant Ecosystem Conservation, 7(3): 1-18. -Peterson, A. T. and Shaw, J., 2003. Lutzomyia vectors for cutaneous leishmaniasis in southern Brazil: ecological niche models, predicted geographic distribution, and climate change effects. International Journal for Parasitology, 33: 919-931. -Peterson, A. T., Soberon, R. G., Pearson, R. P., Anderson, E., Martinez-Meyer, M., Nakamura, A. and Araujo, M.B., 2011. Ecological Niches and Geographic Distributions. Princeton University Press, Princeton, New Jersey, USA. -Phillips, S. J., Anderson, R. P. and Schapire, R. E., 2006. Maximum entropy modeling of species geographic distributions. Journal of Ecological Modelling, 190: 231-259. -Qin, Z., Zhang, J. E. Tommaso, A. D. Wang, R. L. and Wu, R. S., 2015. Predicting invasions of Wedelia trilobata (L.) Hitchc with Maxent and GARP models. Journal of Plant Research, 128: 763-775. -Shahparian, M., Fakheran, S., Moradi, H., Hemami, M. and Shafiezadeh, M., 2017. Modeling habitat suitability of the dolphins using MaxEnt in Makran Sea, South of Iran. Journal of Oceanography, 7(28): 47-56. -Sharifi, J., Ghorbani, A. Fayyaz, M. and Ashouri, P., 2017. Vegetation types and plant life forms of alpine Sabalan in Ardabil province. Journal of Natural Ecosystems of Iran 7(2): 65-75. -Sharifi, M.A., Dianatitilaki, G.H. A. and Alavi, S. J., 2015. Investigating the response of Festuca ovina L. to some environmental variables using HOF function in Galandrood watershed rangeland. Iranian Journal of Rangeland. 8(4): 328-341. -Songlin, F., Schibig, J. and Vance, M., 2007. Spatial habitat modeling of American chestnut at Mammoth Cave National Park. Journal of Forest Ecology and Management, 252: 201-207. -Taghipour, A., Mesdaghi, M., Heshmati, G.H. A. and Rastgar, S. H., 2008. The effect of environmental factors on distribution of range species at Hazarjarib area of Behshaher, Iran (Case study: Village Sorkhgriveh). Iranian Journal of Agricultural Sciences and Natural Resources, 154: 195-205. -Taghipour, A. and Rastgar. S., 2010. Role of physiography on vegetation cover using ARCGIS 10.5 (Case of Hezarjarib’s Rangelands, Mazandaran province). Iranian Journal of Rangeland, 4(2): 168-177. -Vessella, F. and Schirone, B., 2013. Predicting potential distribution of Quercussuber in Italy based on ecological niche models: Conservation insights and reforestation involvements. Journal of Forest Ecology and Management: 304: 150-161. -Warren, D. L. and Seifert, S. N., 2010. Environmental niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. Journal of Ecological Applications, 21: 335-342. -Zare Chahouki, M. A., Mashgholi, M. and Jafari, H., 2015. Classification of vegetation cover related to environmental factors (case study: Gharabagh rangelands of Azerbaijan province), Iranian Journal of Plant Research, 28(5): 995-1005. -Zare Chahouki, M. A., Abbasi, M. and Azarnivand, H., 2018. Prediction of potential habitat for Stipa barbata species using maximum entropy model (Case Study: Taleghan Miany rangelands). Iranian Journal of Rangeland, 12(1): 35-47. | ||
|
آمار تعداد مشاهده مقاله: 564 تعداد دریافت فایل اصل مقاله: 340 |
||