| تعداد نشریات | 286 |
| تعداد نشریات سازمان | 84 |
| تعداد شماره‌ها | 3,020 |
| تعداد مقالات | 33,765 |
| تعداد مشاهده مقاله | 45,081,311 |
| تعداد دریافت فایل اصل مقاله | 50,090,877 |
مدل‌سازی پراکنش مکانی گونه‌های Artemisia fragrans Willd. و A. chamaemelifolia Vill. در گرادیان ارتفاعی قزل‌اوزن- آق‌داغ خلخال | ||
| تحقیقات مرتع و بیابان ایران | ||
| مقاله 12، دوره 27، شماره 3 - شماره پیاپی 80، مهر 1399، صفحه 545-560 اصل مقاله (1.22 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/ijrdr.2020.127969.1899 | ||
| نویسندگان | ||
| مریم مولایی شام اسبی1؛ اردوان قربانی* 2؛ مهدی معمری3؛ عسگر حسینزاده1 | ||
| 1دانشجوی دکتری علوم و مهندسی مرتع، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران | ||
| 2دانشیار، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران | ||
| 3استادیار، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران | ||
| چکیده | ||
| هدف از انجام این تحقیق، مدل‌سازی پراکنش مکانی گونه‌های درمنه معطر (Artemisia fragrans) و درمنه بابونه‌ای ((A. chamaemelifolia در مراتع پروفیل ارتفاعی قزل‌اوزن- آق‌داغ شهرستان خلخال بود. به‌منظور مدل‌سازی، اطلاعات مربوط به گونه و عوامل رویشگاهی از قبیل توپوگرافی، عوامل خاکی و اقلیمی استفاده شده و مدل‌سازی پراکنش رویشگاه به‌روش رگرسیون لجستیک انجام شد. تمامی پارامترهای مؤثر بر توزیع گونه‌ها به‌صورت نقشه رستری تهیه شدند. سپس از تلفیق نقشه‌های عوامل تأثیرگذار بر توزیع گونه، نقشه پراکنش از طریق روش رگرسیون لجستیک پیش‌بینی شد. نتایج نشان داد که مهمترین عامل در پیش‌بینی مکانی گونه A. fragrans در منطقه، ارتفاع از سطح دریا است و با هر یک متر افزایش ارتفاع، حضور این گونه به میزان 88/0 درصد کاهش می‌یابد. همچنین نتایج نشان داد که حضور گونه A. chamaemelifolia با ارتفاع، میانگین درجه حرارت و پتاسیم خاک رابطه عکس دارد. برای تعیین میزان توافق مدل‌های پیش‌بینی با واقعیت زمینی نیز از شاخص کاپا (k) استفاده شد. ضریب کاپا برای گونه A.fragrans 91/0 و برای گونه A. chamaemelifolia 62/0 به‌دست آمد که به‌ترتیب بیانگر تطابق عالی و خوب مدل با واقعیت است. با توجه به نقشه پیش‌بینی تهیه شده، برای احیای مراتع ارتفاعات پایین‌دست، گونه A. fragrans و برای مراتع ارتفاعات بالاتر، گونه A. chamaemelifolia می‌توانند مورد توجه قرار گیرند. | ||
| کلیدواژه‌ها | ||
| درمنه؛ عوامل بوم‌شناختی؛ مدل‌سازی رویشگاه؛ A.fragrans؛ A. chamaemelifolia | ||
| عنوان مقاله [English] | ||
| Habitat prediction of Artemisia fragrans Willd. and A. chamaemelifolia Vill. in elevation gradient of Ghezelozan-Aghdagh, Khalkhal | ||
| نویسندگان [English] | ||
| Maryyam Molaei1؛ Ardavan Ghorbani2؛ Mehdi Moameri3؛ Asgar Hossainzadeh1 | ||
| 1PhD candidate of Rangeland Science and Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran | ||
| 2Associate Professor, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran, | ||
| 3Assistant Professor, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran | ||
| چکیده [English] | ||
| The purpose of this research was to model the spatial distribution of Artemisia fragrans and A. chamaemelifolia in Ghezelozen-Aghdagh elevation profile rangelands of Khalkhal city. For modeling, information about species and habitat factors such as topography, soil, and climatic factors were used, and habitat distribution modeling was performed by a logistic regression method. All parameters affecting the distribution of species were prepared as a raster map. Then, by combining the maps of the factors affecting the species distribution, the distribution map was predicted through the logistic regression method. The results showed that the most important factor in spatial prediction of A. fragrans in the region was altitude and with each meter of elevation, the presence of this species decreased by 0.88%. The results also showed that the presence of A. chamaemelifolia species was inversely related to altitude, mean temperature, and soil potassium. The Kappa index was used to determine the agreement between the prediction models with ground truth. The kappa coefficient was 0.91 for A.fragrans and 0.62 for A. chamaemelifolia, which indicates the excellent agreement of the model with reality. According to the prepared forecast map, A. fragrans and A. Chamaemelifolia species can be considered for lowland and higher altitude rangelands. | ||
| کلیدواژه‌ها [English] | ||
| Artemisia, Ecological Factors, Habitat Modeling, A.fragrans, A. chamaemelifolia | ||
| مراجع | ||
|
- Abolmaali, S. M. R., Tarkesh, M. and Bashari, H., 2018. MaxEnt modeling for predicting suitable habitats and identifying the effects of climate change on a threatened species, Daphne mucronata, in central Iran. Journal of Ecological Informatics, 43: 116–123. - Agresti, A., 2007. An introduction to categorical data analysis (2nd Edition). John Wiley and Sons, 400p. - Amici, V., Marcantonio, M., La Porta, N. and Rocchini, D., 2017. A multi-temporal approach in MaxEnt modelling: a new frontier for land use/land cover change detection. Journal of Ecological Informatics, 40: 40–49. - Austin, M., 2007. Species distribution models and ecological theory: A critical assessment and some possible new approaches. Journal of Ecological modelling, 200 (1- 2): 1-19. - Austin, M. P., Belbinb, L., Meyers, J. A., Dohertya, M. D. and Luotoc, M., 2006. Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory. Journal of Ecological Modelling, 199 (2):197-216. - Azarnivand, H., Jafari, M., Moghaddam, M. R., Jalili, M. and Zare Chahouki, M. A., 2003. The effects of soil characteristics and elevation on distribution of two Artemisia species (Case study: Vard Avard, Garmsar and Semnan Rangelands). Iranian Journal of Natural Resource, 56 (1- 2): 91-120. - Barry, S. and Elith, J., 2006. Error and uncertainty in habitat models. Journal of Applied ecology,43 (3): 413–423. - Behmanesh, B., Tabasi, E., Fakhireh, A. and Khalasi Ahvazi, L., 2019. Modelling the distribution of medicinal plant species of Thymus kotschyanus and Achillea millefolium using ENFA and Logistic Regression. Journal of Plant Ecosystem Conservation, 6 (13): 91-120. - Carter, G. M., Stolen, E. D. and Breininger, D. R., 2006. A rapid approach to modeling species-habitat relationships. Journal of Biological Conservation, 127:237-244. - Dubuis, A., Giovanettina, S., Pellisier, L., Pottier, J., Vittoz, P. and Guisan, A., 2013. Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variable. Journal of Vegetation Science, 24 (4): 593-606. - Fois, M., Cuena-Lombraña, A., Fenu, G., Cogoni, D. and Bacchetta, G., 2016. The reliability of conservation status assessments at regional level: past, present and future perspectives on Gentiana lutea L. sp. lutea in Sardinia. Journal of Nature Conservation, 33:1–9. - Franklin, J., 2013. Species distribution models in conservation biogeography: developments and challenges. Journal of Diversity and Distributions, 19: 1217-1223. - Ghorbani, A., Abbasi Khalaki, M., Asghari, A., Omidi, A. and Zarehesari, B., 2015. Comparing environmental factors on distribution of Artemisia fragrans and Artemisia austriaca in southeastern rangelands of Sabalan. Journal of Rangeland, 9 (2): 129-141. - 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 Rangeland and Desert Research, 20 (2): 379-396. - Gorlier, A., Lonatti, M., Renna, M., Lussiana, C., Lombardi, G. and Battaglini, L. M., 2012. Changes in pasture and cow milk compositions during a summer transhumance in the western Italian Alps. Journal of Applied Botany and Food Quality, 85 (2): 216 -223. - Haidarian Aghakhani, M., Tamartash, R., Jafarian, Z., Tarkesh Esfahani, M. and Tatian, M. R., 2017. Forecasts of climate change effects on Amygdalus scoparia potential distribution by using ensemble modeling in Central Zagros. Journal of RS and GIS for Natural Resources, 8 (3): 1- 14. - Hengl, T., Sierdsema, H., Radovic, A. and Dilo, A., 2009. Spatial prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging. Journal of Ecological Modelling, 220 (24): 3499-3511. - Hirzel, A. H., Hausser, J., Chessel, D. and Perrin, N., 2002. Ecological Niche Factor Analysis: How to compute habitat-suitability maps without absence data? Ecology, 83 (7): 2027-2036. - Homser, D.W. and Lemeshows, J. R., 1989. Applied logistic regression. Wiley, New York, 582p. - Jafari, M., Zare Chahouki, M. A., Tavili, A. and Kouhandel, A., 2007. Soil – Vegetation relationships in rangelands of Qom province. Watershed Management Research (Pajouhesh & Sazandegi), 19 (3): 110- 116. - Kohandel, A., Khalighi Sigaroudi, F. and Pirouzi, N., 2013. Effects of environmental factors on the establishment distribution of plant habitats in the southern part of Alborz. Iranian Journal of Rangeland and Desert Research, 20 (3): 531-59. - Lassueur, T., Joost, S. P. and Randin, C.F., 2006. Very high-resolution digital elevation models: do they improve models of plant species distribution? Ecological Modelling, 198: 139– 153. - Mahmoodi, J., 2002. Communication between ecological groups and Physical, chemical, and biological properties of Caspian forests soil, Ph.D. thesis, Islamic Azad University of Science and Research Unit, 128p. - Miller, J., 2005. Incorporating spatial dependence in predictive vegetation models: Residual Interpolation Methods.Journal of the Professional Geographer, 57(2): 169-184. - Mirzaei Mousivand, A., Ghorbani, A., Zare Chahouki, M. A., Keyvan Behjoo, F. and Sefidi, K., 2016. Effects of some environmental factors on the distribution of Prangos ferulacea Lindl in rangelands of Ardabil province. Journal of Rangeland, 10 (2): 191-203. - Mohtashamnia, S., Zahedi, G. H. and Arzani, H., 2011. Multivariate analysis of rangeland vegetation in relation to edaphically and Physiographical Factors. Procedia Environmental Sciences, 7: 305–310. - Piri Sahragard, H., 2018. Predictive modeling of plant species habitats distribution using logistic regression (A case study in western Taftan, Khash City). Journal of Plant Research, 4: 917-928. - Piri Sahragard, H., Azarnivand, H., Zare Chaouki, M. A., Arzani, H. and Qumi, S., 2011. Study of effective environmental factors on distribution of plant communities in Middle Taleghan Basin. Journal of Range and Watershed Management, Iranian Journal of Natural Resources, 64 (1): 1-12. - Safaei, M., Tarkesh, M., Bashari, H. and Bassiri, M., 2018. Modeling potential habitat of Astragalus verus Olivier for conservation decisions: a comparison of three correlative models. Flora, 242: 61–69. - Saki, M., Tarkesh, M., Bassiri, M. and Vahabii, M. R., 2013. Application of logistic regression tree model in determining habitat distribution of Astragalus verus. Iranian Journal of Applied Ecology, 1 (2): 27-37. - Segurado, P. and Araújo, M., 2004. An evaluation of methods for modelling species distributions. Journal of Biogeography, 31 (10): 1555–1568. - Shojaee, M., Kiani, B., Setoodeh, A. and Azimzadeh, H. R., 2017. Investigating the role of topographic factors on spatial distribution of plant species using logistic regression (Case study: Baghe-Shadi forest, Harat, Yazd). Journal of Arid Biome, 7 (1): 1- 11. - Valizadeh Younjalli, R., Mirzaei Aghjehgheshlagh, F. and Ghorbani, A., 2015. Comparing rangeland soil-vegetation mineral content based on elevation classes and phonological stages in North-Facing slopes, Sabalan region, Ardabil province. Journal of Hydrology and Soil Science, 19 (3): 191- 206. - Wisz, M. S., Pottier, J., Kissling, W. D., Pellissier, L., Lenoir, J., Damgaard, C. F., Dormann, C. F., Forchhammer, M. C., Grytnes, J. A., Guisan, A., Heikkinen, R. K., Høye, T. T., Kühn, I., Luoto, M., Maiorano, L., Nilsson, M. C., Normand, S., Öckinger, E., Schmidt, N. M., Termansen, M., Timmermann, A., Wardle, D. A., Aastrup, P. and Svenning, J. C., 2013. The role of biotic interactions in shaping distributions and realized assemblages of species: implications for species distribution modelling. Journal of Biological Review, 88 (1): 15-30. - Woodward, F.I., 1987. Climate and plant distribution. Cambridge University Press, Cambridge, 39p. - Yang, X.Q., Kushwaha, S.P.S., Saran, S., Xu, J. and Roy, P.S., 2013. Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills. Ecological Engineering, 51: 83–87. - Zare Chahouki, M. A., 2006. Modelling the distribution of plant species in arid and semiarid rangelands, Ph.D. thesis, Department of Natural Resources, Tehran University, 180p. - Zare Chahouki, M. A., Hoseini, M. and Tavili, A., 2016. Effective environmental factors on of plants diversity in Taleghan rangelands (Case study: Veshteh rangelands). Journal of Plant Researches, 28 (2): 307-315. - Zare Chahouki, M. A., Khalasi Ahvazi., M. and Azarnivand, H., 2014. Plant species distribution modeling using logistic regression models in the North East of Semnan. Journal of Range and Watershed Management, 67 (1): 45-59. - Zare Chahouki, M. A. and Naseri Hesar, N., 2018. Habitat distribution modeling of some plant species using logistic regression in the semi-arid rangelands (Case study: Eshtehard rangelands). Journal of Plant Researches, 31 (1): 29- 44. - Zare Hessariy, B. and Ghorbani, A., 2017. Zonation of spatial variation of density, canopy cover and production parameters of Artemisia fragrans using spatial statistic in southeast faced slopes of Sabalan. Iranian Journal of Rangeland and Desert Research, 23 (3): 454-472. - Zheng, J., He, M., Li, X., Chen, Y., Li, X. and Liu, L., 2008. Effect of Salsola passerine shrub patches on the micro scale heterogeneity of soil in mountain grassland, China. Journal of Arid Environments, 72: 150-161.
| ||
|
آمار تعداد مشاهده مقاله: 477 تعداد دریافت فایل اصل مقاله: 344 |
||