Volume 7, Issue 4 (2019)                   ECOPERSIA 2019, 7(4): 195-201 | Back to browse issues page

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Moudi M, Hosseinzadeh M. Predicting the Potential Distribution of Jujube (Ziziphus jujuba Mill.) in Iran. ECOPERSIA 2019; 7 (4) :195-201
URL: http://ecopersia.modares.ac.ir/article-24-31164-en.html
1- Biology Department, Science Faculty, University of Birjand, Birjand, Iran , maryammoudi@birjand.ac.ir
2- Biology Department, Science Faculty, University of Birjand, Birjand, Iran
Abstract:   (4413 Views)
Aims: Species distribution models (SDMs) are predictive models for species’ geographic distributions which are in association with environmental factors and presence of species. SDMs are important for a variety of applications in systematics, ecology, and conservation. The genus Ziziphus Mill. (Rhamnaceae) comprises six species in Iran including Z. spina-christi, Z. nummularia, Z. jujuba, Z. mauritiana, Z. lotus, and Z. oxyphylla. Out of which, Z. jujuba is a common species of the genus.
Materials & Methods: In this study, 43 occurrences of Ziziphus jujuba were recorded and used in the maximum entropy distribution modeling approach (MaxEnt) with five environmental variables. Three important variables: bio6 (Min Temperature of Coldest Month, 24.3%), bio8        (Mean Temperature of Wettest Quarter, 23%), bio9 (Mean Temperature of Driest Quarter, 20.5%) include 67.8% of all percentage contribution in the final model.
Findings: Slope, five temperate and two precipitation variables influenced our final model. The most suitable habitats are located in eastern Iran which completely corresponds to South Khorasan province and central Iran. Additionally, the species is distributed in northern Iran as well but our model doesn’t show northern Iran as the most suitable habitat for Z. jujuba which probably related to the species has been cultivated in that place.
Conclusion: Temperature is one of the most important factors in the distribution of Z. jujuba and it is compatible with that Jujube trees raise in arid and semiarid zones. However, the predictable habitats are distributed in central and eastern Iran which partly corresponds to South Khorasan province.
Full-Text [PDF 962 kb]   (2344 Downloads)    
Article Type: Original Research | Subject: Terrestrial Ecosystems
Received: 2019/03/9 | Accepted: 2019/09/14 | Published: 2019/12/21
* Corresponding Author Address: Biology Department, Science Faculty, University of Birjand, Birjand, Iran

References
1. Franklin J. Predictive vegetation mapping: Geographic modelling of biospatial patterns in relation to environmental gradients. Prog Phys Geogr. 1995;19(4):474-99. [Link] [DOI:10.1177/030913339501900403]
2. Graham CH, Ferrier S, Huettman F, Moritz C, Peterson AT. New developments in museum-based informatics and applications in biodiversity analysis. Trends Ecol Evol. 2004;19(9):497-503. [Link] [DOI:10.1016/j.tree.2004.07.006]
3. Peterson AT, Egbert SL, Sánchez-Cordero V, Price KP. Geographic analysis of conservation priority: Endemic birds and mammals in Veracruz, Mexico. Biol Conserv. 2000;93(1):85-94. [Link] [DOI:10.1016/S0006-3207(99)00074-9]
4. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, et al. Novel methods improve prediction of species' distributions from occurrence data. Ecography. 2006;29(2):129-51. [Link] [DOI:10.1111/j.2006.0906-7590.04596.x]
5. Phillips SJ, Anderson RP, Schapire RE. Maximum entropy modeling of species geographic distributions. Ecol Model. 2006;190(3-4):231-59. [Link] [DOI:10.1016/j.ecolmodel.2005.03.026]
6. Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ. A statistical explanation of MaxEnt for ecologists. Divers Distrib. 2010;17(1):43-57. [Link] [DOI:10.1111/j.1472-4642.2010.00725.x]
7. Fielding AH, Bell JF. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv. 1997;24(1):38-49. [Link] [DOI:10.1017/S0376892997000088]
8. Guisan A, Broennimann O, Engler R, Vust M, Yoccoz NG, Lehmann A. Using niche‐based models to improve the sampling of rare species. Conserv Biol. 2006;20(2):501-11. [Link] [DOI:10.1111/j.1523-1739.2006.00354.x]
9. Guest E, Townsend CC. Flora of Iraq. 1st Edition. 4th Volume. Baghdad: Ministry of Agriculture; 1980. [Link]
10. Mozaffarian V. Trees and shrubs of Iran. 1st Edition. Tehran: Farhang Moaser; 2005. [Persian] [Link]
11. Hasan NM, Al Sorkhy MA, Al Battah FF. Ziziphus jujube (ennab) of the middle east, food and medicine. Unique J Ayurvedic Herb Med. 2014;2(6):7-14. [Link]
12. Kaeidi A, Taati M, Hajializadeh Z, Jahandari F, Rashidipour M. Aqueous extract of Ziziphus jujuba fruit attenuates glucose induced neurotoxicity in an in vitro model of diabetic neuropathy. Iran J Basic Med Sci. 2015;18(3):301-6. [Link]
13. Kang KB, Ming G, Kim GJ, Ha TK, Choi H, Oh WK, et al. Jubanines F-J, cyclopeptide alkaloids from the roots of Ziziphus jujuba. Phytochemistry. 2015;119:90-5. [Link] [DOI:10.1016/j.phytochem.2015.09.001]
14. Ghobadi A, Amini Behbahani F, Yousefi A, Taghavi Shirazi M, Behnoud N. Medicinal and nutritional properties of Ziziphus jujuba Mill. in traditional persian medicine and modern phytotherapy. Crescent J Med Biol Sci. 2019;6(2):146-50. [Link]
15. Goyal M, Nagori BP, Sasmal D. Review on ethnomedicinal uses, pharmacological activity and phytochemical constituents of Ziziphus mauritiana (Z. jujuba Lam., non-Mill). Spatula DD. 2012;2(2):107-16. [Link] [DOI:10.5455/spatula.20120422080614]
16. Tahergorabi Z, Abedini MR, Mitra M, Fard MH, Beydokhti H. "Ziziphus jujuba": A red fruit with promising anticancer activities. Pharmacogn Rev. 2015;9(18):99-106. [Link] [DOI:10.4103/0973-7847.162108]
17. Hamedi S, Arian AA, Farzaei MH. Gastroprotective effect of aqueous stem bark extract of Ziziphus jujuba L. against HCl/ethanol-induced gastric mucosal injury in rats. J Tradit Chin Med. 2015;35(6):666-70. [Link] [DOI:10.1016/S0254-6272(15)30157-6]
18. Gastón A, García-Viñas JI, Bravo-Fernández AJ, López-Leiva C, Oliet JA, Roig S. Species distribution models applied to plant species selection in forest restoration: Are model predictions comparable to expert opinion?. New For. 2014;45(5):641-53. [Link] [DOI:10.1007/s11056-014-9427-7]
19. Guisan A, Thuiller W. Predicting species distribution: Offering more than simple habitat models. Ecol Lett. 2005;8(9):993-1009. [Link] [DOI:10.1111/j.1461-0248.2005.00792.x]
20. Khakdaman H, Pourmeidani A, Adnani, SM. Study of genetic variation in Iranian Jujube (Ziziphus jujuba Mill.) ecotypes. Iran J Rangel For Plant Breed Genet Res. 2007;14:202-14. [Persian] [Link]
21. Liu M. Chinese Jujube: Botany and horticulture. In: Janic J, editor. Horticultural reviews. 1st Edition. 32nd Volume. Hoboken: Wiley; 2006. pp. 229-98. [Link] [DOI:10.1002/9780470767986.ch5]
22. Akhter Ch, Dar GH, Khuroo AA. Ziziphus jujuba Mill. subsp. spinosa (Bunge) Peng, Li & Li: A new plant record for the Indian subcontinent. Taiwania. 2013;58(2):132-5. [Link]
23. Abbasi S, Malekzadeh Shafaroudi S, Ghos K, Shahriari F. Study of genetic diversity of Ziziphus jujuba ecotypes in Iran using RAPD. Iran J Field Crop Res. 2012;10(3):583-90. [Persian] [Link]
24. Shahhoseini R, Babaei A, Kazemi M, Omidbaigi R. A study on genetic variation in Iranian Jujube (Zizyphus jujuba Mill.) genotypes using molecular AFLP marker. Iran J Rangel For Plant Breed Genet Res. 2012;20(1):55-68. [Persian] [Link]
25. Gos K, Malekzadeh Shafaroodi S, Rashed Mohassel MH, Akbari MR, Razavi SH. Grouping jujubes of Iran based on quantitative characteristics and ISSR and RAPD markers. Seed Plant Improv J. 2014;1-30(1):173-90. [Persian] [Link]
26. Soufian Kh, Dinarvand M. Flora of Iran. 1st Edition. 55th Volume. Tehran: Research Institute of Forests and Rangelands; 2007. [Persian] [Link]
27. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol. 2005;25(15):1965-78. [Link] [DOI:10.1002/joc.1276]
28. Buse J, Griebeler EM. Incorporating classified dispersal assumptions in predictive distribution models-A case study with grasshoppers and bush-crickets. Ecological Model. 2011;222(13):2130-41. [Link] [DOI:10.1016/j.ecolmodel.2011.04.010]
29. Lobo JM, Jiménez‐Valverde A, Real R. AUC: A misleading measure of the performance of predictive distribution models. Glob Ecol Biogeogr. 2008;17(2):145-51. [Link] [DOI:10.1111/j.1466-8238.2007.00358.x]
30. Jiménez‐Valverde A. Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling. Glob Ecol Biogeogr. 2012;21(4):498-507. [Link] [DOI:10.1111/j.1466-8238.2011.00683.x]
31. Manel S, Williams HC, Ormerod SJ. Evaluating presence-absence models in ecology: The need to account for prevalence. J Appl Ecol. 2001;38(5):921-31. [Link] [DOI:10.1046/j.1365-2664.2001.00647.x]
32. Mukhtar HM, Ansari SH, Ali M, Naved T. New compounds from Zizyphus vulgaris. Pharm Biol. 2004;42(7):508-11. [Link] [DOI:10.3109/13880200490891890]
33. Chaudhary SA. Flora of the kingdom of Saudi Arabia. 1st Edition. 2nd Volume. Riyadh: Ministry of agriculture; 2001. [Link]
34. Dinarvand M, Zarinkamar F. Anatomy-taxonomy of the genus Ziziphus in Iran. Iran J Bot. 2006;12(1):36-41. [Link]
35. Ghazaeian M. Genetic diversity of Jujube (Ziziphus jujuba Mill.) germplasm based on vegetative and fruits physicochemical characteristics from Golestan province of Iran. Comun Sci. 2015;6(1):10-6. [Link]
36. Xu Ch, Gao J, Du Z, Li D, Wang Z, Li Y, et al. Identifying the genetic diversity, genetic structure and a core collection of Ziziphus jujuba Mill. var. jujuba accessions using microsatellite markers. Sci Rep. 2016;6:31503. [Link] [DOI:10.1038/srep31503]

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