Spatial prioritization of protected areas using Annealing simulation algorithm (Study area: Mazandaran province)

Document Type : Original Research

Authors
S. qorbani 1
M. Shaygan 2
J. J karami 3
S. M. Ghasempouri 4
1 Student of Tarbiat Modares University of Tehran
2 Assistant professor and faculty member of the Department of Remote Sensing and Geographical Information System, Tarbiat Modares University, Tehran
3 Department of Remote Sensing and Geographic Information System,Faculty of Humanities, Remote Sensing, Tarbiat Modares University, Tehran.
4 Department of Environmental Science, Faculty of Natural Resources & Marine Sciences, Tarbiat Modares University
10.2022/hsmsp.26.3.7
Abstract
The expansion of human population, the creation of cities and villages, the construction of bridges, roads and dams are the salient factors destroying and threatening the habitat of a variety animal and plant species. Preserving the habitat of species is one of the ways to protect them from threatening factors and prevent their extinction. Protected areas include four parts such as the national natural heritage, the protected areas, the wildlife sanctuary, and the national park. The purpose of this research is to opt for the new preserved areas for the protection of 6 mammal species in Mazandaran province using the Simulated Annealing Algorithm. The maximum entropy method was used to prepare the species distribution layer. This research studied and investigated the effect of different parameters such as BLM, SPF, different protection goals (30%, 40%, 50% and 60% of the minimum area considered for any kind of protection) in the process of selecting protected areas. By examining 4 different scenarios for the protection of 6 species of mammals, the results showed that the existing protected areas (Shesh Rudbar, Asas, Hazar Jerib, Dodange Wildlife Sanctuary, Bind National Park, and Kiasar National Park) are not effective for protection purposes.

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Esfandeh, S., Kaboli, M. & Eslami, L. (2017). Simulated annealing algorithm as a tool for systematic prioritization of protected area in Alborz province, Iran. Journal of Animal Environment, 9(1), 105-122. https://dorl.net/dor/20.1001.1.27171388.1396.9.1.14.0, (In Persian)
Esfandabad, S., & Kaboli, M. (2020). Improving biodiversity conservation with expansion of protected area network in Iran, systematic conservation planning applying Zonation algorithm. Journal of Natural Environment, 73(1), 63-76. https://dx.doi.org/10.22059/jne.2018.245113.1446. https://jne.ut.ac.ir/article_75728_en.html?lang=en .(In Persian)
Game, H. P. P., McGowan, J., Klein, D. N., & Watts, M. (2020). Marxan version 2.43 & above. https://marxansolutions.org/wp-content/uploads/2021/02/Marxan-User-Manual_2021.
Ghobadi, M., Ahmadi Pari, M. (2016) Site selection for petrochemical idustry based on environmental palnning approach using integrated method of PROMETHEE II and FuzzyAHP in Lorestan. MJSP. 20(4), 201-226. http://hsmsp.modares.ac.ir/article-21-6101-fa.html. (In Persian)
Henriques, N. S., Monteiro, P., Bentes, L., Oliveira, F., Afonso, C. M., & Gonçalves, J. M. (2017). Marxan as a zoning tool for development and economic purposed areas-Aquaculture Management Areas (AMAs). Ocean & Coastal Management, 141, 90-97. https://doi.org/10.1016/j.ocecoaman.2017.03.016

Hernandez, P. A., Graham, C. H., Master, L. L., & Albert, D. L. (2006). The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography, 29(5), 773-785.
Hermoso, V., Filipe, A. F., Segurado, P., & Beja, P. (2015). Filling gaps in a large reserve network to address freshwater conservation needs. Journal of Environmental Management, 161, 358-365. https://research-repository.griffith.edu.au/bitstream/10072/102501/1/HermosoPUB190.pdf
Kabuli, Mohammad; Aliabadian, Mansour; Tahidifar, Mohammad; Hashemi, Alireza; Mousavi, Seyyed Babak and Rozlar, Kise. (2015). "The Atlas of bird of Iran", Tehran: Alborz (Khwarizmi) Province Branch University Jihad, (40). (In Persian)
Karmi, Mahmoud; Qadirian, Taher and Faizullahi, Kaveh. (2015). "The Atlas of Mammals of Iran", Tehran: Jihad University Publications, Alborz Province Branch (Khwarizmi), (19). (In Persian)
Kolahi, M., Sakai, T., Moriya, K. et al. Assessment of the Effectiveness of Protected Areas Management in Iran: Case Study in Khojir National Park. Environmental Management 52, 514–530 (2013). https://doi.org/10.1007/s00267-013-0061-5. (In Persian)
Majnounian, Henrik. (2013). " Protected areas: basics and protection measures of parks and areas in Iran and the world (along with scientific and technical guides)", Tehran: Di Nagar Publishing House, , p. 254. (In Persian)
Margules, C. R., & Pressey, R. L. (2000). Systematic conservation planning. Nature, 405(6783), 243-253.
Mehri, A., Salmanmahiny, A., Mirkarimi, S. H., & Rezaei, H. R. (2014). Use of optimization algorithms to prioritize protected areas in Mazandaran Province of Iran. Journal for Nature Conservation, 22(5), 462-470. (In Persian)
Moilanen, A., Wilson, K., & Possingham, H. (2009). Spatial conservation prioritization: quantitative methods and computational tools: Oxford University Press.
Momeni, Iman (1392). "Systematic selection of protective spots in Golestan province using simulated melting algorithm". Environmental Master's Thesis. University of Tehran. (In Persian)
Padash, A., Nabi Bidhendi, G,. Hovidi, Hasan & Ardestani, Mojtaba. (2016). Analysis of innovative environmental planning strategy by HSE approach in the petrochemical industry. MJSP .6(2), 27-47. http://ormr.modares.ac.ir/article-28-6325-fa.html. (In Persian)
Pearson, R.G. (2007). Species’ distribution modeling for conservation educators and practitioners. Synthesis. American Museum of Natural History. 50,(54-89)
Robati, M., & Ghazanchaei, E. (2019). Socioeconomic and Environmental Situation Analysis of Mazandaran Province with Conceptual Model Approach DPSIR. Human & Environment, 17(4), 81-100. https://dorl.net/dor/20.1001.1.15625532.1398.17.4.7.1. (In Persian)
Sofaer, H. R., Jarnevich, C. S., Pearse, I. S., Smyth, R. L., Auer, S., Cook, G. L., & Hamilton, H. (2019). Development and Delivery of Species Distribution Models to Inform Decision-Making. BioScience, 69(7), 544-557. https://doi.org/10.1093/BIOSCI%2FBIZ045
Sundermann, E., & Lemahieu, I. L. (1995). PET image reconstruction using simulated annealing. Paper presented at the Medical Imaging 1995: Image Processing. https://biblio.ugent.be/publication/254410
Wiersma, Y. F. Nudds, T. D. (2006). conservation targets for viable species assemblages in Canada: are percentage targets appropriate? Biodiversity and conservation. 15(14): 4555-4567.
Zarabi, A., Divsalar, A., & Kanani, M. R. (2012). Spatial Analysis of urban settlements based on environmental abilities of Mazandaran province. MJSP, 16(12), (514–530). http://hsmsp.modares.ac.ir/article-21-9731-fa.html (In Persian)
The Journal of Spatial Planning and Geomatics
Volume 26, Issue 3
November 2022
Pages 152-183