Application of photogrammetric drone method to determine the habitat suitability of Perovskia abrotanoidse Karel. using MaxEnt model | ||
| تØقیقات گیاهان دارویی Ùˆ معطر ایران | ||
| Article 6, Volume 36, Issue 6 - Serial Number 104, January and February 2021, Pages 947-957 PDF (780.65 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.22092/ijmapr.2021.351825.2862 | ||
| Authors | ||
| V. Riazinia1; M.S. Azimi* 2; ÙŽA. Sepehri3; N. Kariminejad4; G. Campetella5 | ||
| 1M.Sc. student, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran | ||
| 2Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Golestan, Iran | ||
| 3Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran | ||
| 4Ph.D. graduate, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran | ||
| 5Schools of Biosciences & Veterinary Medicine - Plant Diversity and Ecosystems Management Unit, University of Camerino, Italy | ||
| Abstract | ||
| Perovskia abrotanoides Karel., belonging to the Lamiaceae, is a valuable plant species in terms of water and soil protection, and has a variety of therapeutic effects. In this study, the potential habitat of this plant species was modeled. Independent topographic and biological variables were prepared from the digital DSM layer of the UAV output, climatic variables from the statistics of meteorological stations, and soil variables after grid range and soil sampling from each grid unit. The location of the species was also recorded as a dependent variable using UAV orthophoto images. Prioritization of independent variables was done based on the effect on the occurrence of the studied species in two study areas using the Maximum Entropy (MaxEnt) algorithm. The results of model evaluation based on sub-curve surface statistics (AUC) for the warm and rural study areas were 0.974 and 0.914, respectively, and were evaluated at a very good level. Altitude, potassium content, and electrical conductivity were obtained as the most important environmental factors influencing the distribution of P. abrotanoides in the winter quarters. Also, in the countryside, altitude, electrical conductivity, and soil silt percentage were the most effective factors in the presence of the species. The results of this study showed that determining the suitability of medicinal species habitat with the UAV images can be used in the management planning to identify the areas prone to the species distribution and increase the species production at wider levels of study. | ||
| Keywords | ||
| Habitat suitability; Perovskia abrotanoides karel; maximum entropy model; rangeland of Golestan province | ||
| References | ||
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- Abdelaal, M., Fois, M., Giuseppe, F. and Bacchetta, G., 2019. Using MaxEnt modeling to predict the potential distribution of theendemic plant Rosa arabica Crép. Ecological Informatics, 50: 68-75. - Bagheri, H., 2017. Modeling distribution of index halophyte plants in the Mighan playa of Arak. Ph.D thesis, Department of Agricalture and Natural Resource, The Mohaghegh Ardebili University, Iran. - Çoban, H., Örücü, Ö. and Arslan, S., 2020. MaxEnt modeling for predicting the current and future potential geographical distribution of Quercus libani Olivier. Sustainability, 12(7): 1-17-. - Cruzan, M.B., Weinstein, B.G., Grasty, M.R., Kohrn, B.F., Hendrickson, E.C., Arredondo, T.M. and Thompson, P.G., 2016. Small unmanned aerial vehicleS (micro-uavS, droneS) in plant ecology. Applications in Plant Sciences, 4(9): 160004. - Ghayoumi, R., Ebrahimi, A., Hosseini Taifeh, F. and Keshtkar, M., 2019. Predicting the effects of climate change on the distribution of mangrove forests in Iran using the maximum entropy model. Journal of Remote Sensing and GIS in Natural Resources, 10(2): 34-47. - Hosseinalizadeh, M., Kariminejad, N., Campetella, G., Jalalifard, A. and Alinejad, M., 2018 Spatial point pattern analysis of piping erosion in loess-derived soils in Golestan province, Iran. Geoderma, 328: 20-29. - Jafari Haghighi, M., 2003. Methods of Soil Analysis: sampling and physical and chemical analysis with emphasis on the theoretical and practical importance. Tehran University Press, 236p. - Kurpis, J., Cruz, M. and Arroyo, T., 2019. Modeling the effects of climate change on the distribution of Tagetes lucida Cav. (Asteraceae). Global Ecology and Conservation, 20: e00747. - Ma, B. and Sun, J., 2018. Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model. BMC Ecology, 18(10): 1-12 . - Miller, J., 2005. Incorporating spatial dependence in predictive vegetation models: residual interpolation methods. The Professional Geographer, 57(2): 169-184. - Moallem, S.A. and Niapour, M., 2008. Study of embryotoxicity of Perovskia abrotanoides, an adulterant infolk-medicine, during organogenesis in mice. Ethnopharmacology, 117: 108-114. - Mousazade, M., Ghanbarian, G., Pourghasemi, H., - Naghizadeh Asl, F., Jafari, H., Azarnivand, M. and Zare Chahouki, M., 2016. Study of the role of soil properties in creating differences between plant communities. Iranian Journal of Natural Resources, 69(3): 765-776. - PourHosseini, S.H., 2013. Investigation of genetic and phytochemical diversity of native populations of Brazmble in Iran. Master Thesis, Shahid Beheshti University of Tehran, 130p. - Shahraki, S., Mahdavi, S.Kh., Hosseini, S.A., Mazandarani, M. and Tavan, M., 2012. Evaluation of quantity and quality of Proveskia abrotanoides essential oil of the medicinal plant (case study of Golestan and Kiasar national parks). Journal of Ecophytochemistry of Medicinal Plants, 3: 68-81. - Ye, X.Z., Zhao, G.H., Zhang, M.Z., Cui, X.Y., Fan, H.H. and Liu, B., 2020. distribution pattern of endangered plant semiliquidambar cathayensis (Hamamelidaceae) in response to climate change after the last interglacial Perio. Journal of Forests, 11(4): 434. - Zare Chahouki, M.A. and Abbassi, M., 2018. Maxent modelling for distribution of plant Rhoum ribes L. In Rangeland of chah torsh Province of yazd. Iranian Journal of Natural Resources, 71(2): 379-391. - Zare Chahouki, M.A. and Piry Sahragard, H., 2016. Maxent modelling for distribution of plant species habitats of rangelands (Iran). Polish Journal of Ecology, 3: 303-317. - Zargari, A., 2000. Medicinal Plants (Volume 4). University of Tehran Press, 923p. | ||
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