[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 13, Issue 27 (3-2026) ::
PEC 2026, 13(27): 35-46 Back to browse issues page
Feasibility study of developing medicinal plant black cumin’s population in the Hezar Masjed-Binalood vegetation zone through fundamental habitat zoning
Atefeh Nikdel1 , Kamal Naseri * , Bashir Zade Maral3 , Mohammad Reza Joharchi4
1- Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Mashhad
Associate Professor, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Mashhad, Associate Professor, Faculty of Natural Resources and Environment, Ferdowsi University of Mashhad, Mashhad , klnaseri@um.ac.ir
3- Faculty of Science, Mazandaran University, Babolsar, Mazandaran
4- Plant Sciences Research Institute, Ferdowsi University of Mashhad, Mashhad
Abstract:   (1052 Views)
The present study has been conducted as one of the requirements for the conservation plans of plant species populations and the restoration and rehabilitation projects of natural ecosystems. In this study, the natural areas of six counties located in the northern part of Khorasan Razavi province, including the counties of Kalat, Darghaz, Quchan, Chenaran, Golbahar, and Torqabeh - Shandiz, were examined, which are mainly situated in the two phytogeographical regions of the Hezar Masjed and Binalood mountains. In this area, the medicinal and industrial plant of “black cumin” was identified, and the coordinates of the species' presence points were recorded separately, determining the cloud of the species' distribution. These points were considered as the actual distribution of each species. Subsequently, the ecological conditions of the species' habitat were determined using specialized software packages related to plant distribution modeling within the R software environment, based on digital layers of environmental factors and employing the MaxEnt algorithm. Based on this modeling, the fundamental or potential distribution (habitat) of the species was revealed. The results showed that in the case of the black cumin species, the fundamental distribution of the species is more extensive than their actual (habitat) distribution. Therefore, there is a possibility for the species' habitat to expand, and vast areas that currently lack this species or have very low density have the capacity and potential to accommodate and expand the black cumin species. This issue can be included in the agenda of corrective and restorative actions by the Natural Resources and Watershed Management offices. There is also the possibility of developing this plant in low-yield rain-fed areas in these regions and replacing it with annual cereals.
 
Article number: 3
Keywords: Habitat Zonation, Habitat Suitability Modeling, MaxEnt Algorithm, Black Cumin, Khorasan Razavi
Full-Text [PDF 1647 kb]   (384 Downloads)    
Type of Study: Research | Subject: Special
Received: 2024/12/28 | Accepted: 2025/03/17 | Published: 2026/03/11
References
1. Davazdah Emami, S. 2003. Uses of medical plants. Nosouh publisher, National Library of Iran, pp. 113
2. Gunawan, G., Sulistijorini, S., Chikmawati, T., Sobir, S. 2021. Predicting suitable areas for Baccaurea angulata in Kalimantan, Indonesia using Maxent modelling. Biodiversitas Journal of Biological Diversity, 22(5).
3. Guisan, A., Thuiller, W. 2005. Predicting species distribution: offering more than simple habitat Hassanpouraghdam, M. B., Ghorbani, H., Esmaeilpour, M., Alford, M. H., Strzemski, M., Dresler, S. 2022. Diversity and distribution patterns of endemic medicinal and aromatic plants of Iran models. Ecology letters, 8(9), 993-1009.
4. Hassanpouraghdam, M. B., Ghorbani, H., Esmaeilpour, M., Alford, M. H., Strzemski, M., & Dresler, S. (2022). Diversity and distribution patterns of endemic medicinal and aromatic plants of Iran: implications for conservation and habitat management. International Journal of Environmental Research and Public Health, 19(3), 1552
5. Hidalgo, P. J., Marín, J. M., Quijada, J., Moreira, J. M. 2008. A spatial distribution model of cork oak (Quercus suber) in southwestern Spain: A suitable tool for reforestation. Forest Ecology and Management, 255(1), 25-34
6. Kalita, M., Raju, P. L. N., Devi, N. 2018. Modelling Potential of Maxent Model in Predicting Geographic Distributions of Medicinal Plants.
7. Pearson, R. G., Thuiller, W., Araújo, M. B., Martinez‐Meyer, E., Brotons, L., McClean, C., Lees, D. C. (2006). Model‐based uncertainty in species range prediction. Journal of biogeography, 33(10), 1704-1711.
8. Phillips, S. J., Anderson, R. P., Schapire, R. E. 2006. Maximum entropy modeling of species geographic distributions. Ecological modelling, 190(3-4), 231-259.
9. Wilting, A., Cord, A., Hearn, A. J., Hesse, D., Mohamed, A., Traeholdt, C., Hofer, H. 2010. Modelling the species distribution of flat-headed cats (Prionailurus planiceps), an endangered South-East Asian small felid. PloS one, 5(3), e9612.
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nikdel A, Naseri K, Zade Maral B, Joharchi M R. Feasibility study of developing medicinal plant black cumin’s population in the Hezar Masjed-Binalood vegetation zone through fundamental habitat zoning. PEC 2026; 13 (27) : 3
URL: http://pec.gonbad.ac.ir/article-1-1008-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 13, Issue 27 (3-2026) Back to browse issues page
مجله حفاظت زیست بوم گیاهان Journal of Plant Ecosystem Conservation
Persian site map - English site map - Created in 0.19 seconds with 37 queries by YEKTAWEB 4774