:: Volume 10, Issue 20 (9-2022) ::
PEC 2022, 10(20): 163-184 Back to browse issues page
Localization of Aellenia subaphylla C.A.Mey. plantation in winter rangelands of Golestan province, Iran
Vahid Aranian1, Hamid Niknahad-Gharmakher *, Chooghi Bairam Komaki3, Hossein Kazemi4
1- Department of Rangeland Management, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
Gorgan University of Agricultural Sciences & Natural Resources, Department of Rangeland Management, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran. , niknahad@gau.ac.ir
3- Department of Desert District Management, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
4- Department of Agronomy, Faculty of Plant productions, Gorgan University of Agricultural Sciences & Natural Resources, Gorgan, Iran
Abstract:   (321 Views)
The aim of localization of rangeland species plantation is to predict the potentials and limitations of rangelands for plantation. Aellenia subaphylla is resistant to drought and salinity. It produces considerable forage in winter rangelands. In this research, the geographic information system and two methods of classic and fuzzy logic were used to locate this species in winter rangelands of Golestan province in 2018. At first, the needed information and layers were collected, and the required maps were prepared. Then, according to the ecological requirements of A. subaphylla, the layers for the classic method were classified into two appropriate and inappropriate classes, while for the fuzzy method classified into inappropriate, proportionate, appropriate and perfectly suitable classes. Then, by combining the classifieds layers, the final maps were obtained using Boolean and fuzzy logic method. Localization of A.subaphylla using classic logic indicated that 47.5% of the winter rangelands of Golestan province are suitable and 52.5% are notsuitable for plantation of A.subaphylla. However, the fuzzy logic demonstrated that 15.8% of the studied rangelands are highly suitable, 13.8% are suitable, 26.2% are moderately suitable and 44.2% are notsuitable for A.subaphylla plantation. The results demonstrated that high soil salinity, soil acidity and temperature conditions are limiting factors for A.subaphylla plantation in degraded winter rangeland of Golestan province. It was found that the fuzzy logic gives better and more accurate results than the classic method, so it is recommended to localization of suitable areas for rangeland species plantation.

Keywords: Rangeland improvement, Aellenia subaphylla, Classic logic, Fuzzy logic, Geographic information system
Full-Text [PDF 1099 kb]   (86 Downloads)    
Type of Study: Research | Subject: Special
Received: 2022/01/9 | Accepted: 2022/06/3 | Published: 2022/09/22
1. Alami, A., Eslami, A., Hashemi, S. 2014. The Query of Suitable Areas for plantation and development of Taxus baccata L Species by Using GIS in Northern Iran. Annals of the Brazilian Academy of Sciences, 86(3): 1497-1505.
2. Azimi, M., Riyazinia, V., Amiri, M., Campetella, G. 2021. Habitat suitability modeling for Astragalus podolobus (Boiss. & Hohen) using frequency ratio. Environmental Resources Research, 9(2): 277-290.
3. Bhowmick, P., Mukhopadhyay, S., Sivakumar, V. 2014. A review on GIS based Fuzzy and Boolean logic modelling approach to identify the suitable sites for Artificial Recharge of Groundwater. Scholars Journal of Engineering and Technology (SJET), 2(3): 316-319.
4. Demsar, J., Leban, G., Zupan, B. 2007. FreeViz An intelligent multivariate visualization approach to explorative analysis of biomedical data. Journal of Biomedical Informatics, 40(6): 661–671.
5. Gadallah, A.M. 2018. Crops Plantation Planning Respecting Climate Changes: Fuzzy-Based Approach. Indian Journal of Science and Technology, 11(25): 1-13.
6. Gintzburger, G., Toderich, K.N., Mardonov, B.K., Mahmudov, M.M. 2003. Rangelands of the arid and semiarid zones in Uzbekistan. CIRAD-ICARDA, 432p.
7. Glöckner, I., 2006. Fuzzy quantifiers: A computational theory. 1st ed. Springer.
8. Mahdavi, A., Ghasemi, M., Jafarzade, A. 2017. Determination of suitable areas for reforestation and afforestation with indigenous species. Caspian Journal of Environmental Sciences, 15(1): 29-46.
9. Maleki, F., Kazemi, H., Siahmarguee, A., Kamkar, B. 2017. Development of a land use suitability model for saffron (Crocus sativus L.) cultivation by multi-criteria evaluation and spatial analysis. Ecological Engineering, 106: 140-153.
10. Matinkhah, H., Taabe, M., Raoofi, M., Matinkhah, M. 2016. Site selection for Haloxylon ammodendron plantation based on soil factors. Arid Land Research and Management, 30(3): 1-16.
11. Nasrollahi, N., Kazemi, H., Kamkar, B. 2017. Feasibility of ley-farming system performance in a semi-arid region using spatial analysis. Ecological Indicators, 72: 239-248.
12. Niknahad-Gharmakher, H., Ahmadi-Beni, M. 2019. Investigation on the Effects of Eco-cover on Unwanted Plant Control, Vetiver Grass Growth and Soil Properties. Journal of Plant Ecosystem Conservation, 6(13): 141-154.
13. Niknahad-Gharmakher, H., Mohammadi Gonbadi, A., Komaki, Ch.B., Honardoust, F. 2015. Determination of Suitable Lands for Sowing Alkaligrass Puccinellia distans (Case Study: Agh-Ghala Rangelands, Golestan Province, Iran). Rangeland Science, 5(1):1-8.
14. Niknahad-Gharmakher, H., Sheidai-Karkaj, E., Jafari, I, 2017. Effects of exclosure on soil properties in winter rangelands in Golestan Province, Iran. Rangeland Science, 7(1): 55-66.
15. Saberi, M., Niknahad-Gharmakher., H., Heshmati. GH., Barani, H., Shahriari, A. 2017. Effects of Different Drought and Salinity Levels on Seed Germination of Citrullus colocynthis. Ecopersia, 5(3): 1903-1917.

XML   Persian Abstract   Print

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 20 (9-2022) Back to browse issues page