Ecological Capability Assessment of Sistan Plain by Integrating Makhdoum's Multi-Factor Models with Remote Sensing and GIS Technologies

Document Type : Original Article

Authors

1 Aerospace Research Institute, Ministry of Science, Research and Technology

2 Islamic Azad University E-Campus

10.22034/eiap.2024.191708

Abstract

The Earth's limited resources can be sustainably maintained by its human population, if are used optimally and in a balanced way. Assessing the ecological land capability examines the ability of the land to support human activities in a sustainable manner and determines the most desirable type of land use by humans. In this study, the assessment of the ecological capability of Sistan plain for agriculture and pasture, urban and rural development, ecotourism, forestry and afforestation, ecological protection and aquaculture land useses in 2019 has been carried out by integrating the multi-factor ecological models of Makhdoum with Remote Sensing (RS) and Geographic Information System (GIS). Data and information related to 24 ecological, physical, climatic and biological parameters of the region, obtained from satellite images or existing maps, have been processed and analyzed in the environment of remote sensing and GIS software. The results showed that 100% of Sistan plain has ecological capability for protection, 63% for grade 2 of extensive ecotourism and 19% for grade 4 of rangeland and has no suitable potential for other land uses including agriculture and forestry. The results of this study showed the need to pay more attention to conservation measures and reduce agricultural and industrial activities in the Sistan plain. By comparing the ecological capability of the area with its current land use, it was determined that in a large part of the northeastern area, which has the capability for protection, agricultural activities are currently carried out, and in most of the areas that are intended for extensive protection and recreation, there are bare lands, pasture and forest land uses. The results showed the need to pay more attention to protective measures and reduce agricultural and industrial activities in this vulnerable area. Since the process of evaluating the ecological capability often requires spending considerable time and costs, another goal of the research was to combine RS and GIS with the existing ecological models, in order to assess the ecological capability of the Sistan plain. Because it is very effective in speeding up, increasing the accuracy and updating the information and outputs of existing models and finally speeding up the process of land use planning - which is currently one of the most important challenges to achieve sustainable development in Iran.

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References

Abd El Aal, A. K., Kamel, M., & Alyami, S. H. 2020. Environmental analysis of land use and land change of Najran city: GIS and remote sensing. Arabian Journal for Science and Engineering, 45(10), 8803-8816. (in Persian)
AbdelRahman, M. A., Natarajan, A., & Hegde, R. 2016. Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing and Space Science, 19(1), 125-141.
Akhzari Hamedani, M. 2013. Evaluating the ecological potential of eco-tourism using fuzzy logic and AHP in GIS environment (case study: Kerman province), Master's thesis, University of Advanced Industrial and Technological Education. (in Persian)
Arab Nakhai, R. 2016. Assessment of suitability of agricultural lands using FDAHP integrated model (case study: Sistan plain), master's thesis, Birjand University. (in Persian)
Girmay, G., Sebnie, W., & Reda, Y. 2018. Land capability classification and suitability assessment for selected crops in Gateno watershed, Ethiopia. Cogent Food & Agriculture, 4(1), 1532863.
Karami, A; Hosseini Nasr, M.; Jalilvand, H. & Mir Yaqoubzadeh, M. H. 2013. Evaluation of the ecological potential of the Babol River basin for agricultural use using the Analytical Hierarchy Process (AHP), Journal of Natural Ecosystems of Iran, Volume 5, Number 1, pp. 37-48. (in Persian)
Karimzadeh Mutlagh, Z. 2013. Evaluation of the ecological potential of the central part of Birjand based on the weighted linear combination method in geographic information systems, master's thesis, Birjand University. (in Persian)
Kazemi komak, R. 2016. Evaluation of the land suitability of the land for the development of pasture land using spatial multi-criteria decision-making methods (case study of the Sistan plain), master's thesis, Zabul University. (in Persian)
Mahmoudi, S. 2016. Modeling the ecological capacity of Kermanshah Resin watershed using the approach of fuzzy hierarchical analysis process and geographic information system, master's thesis, Razi University of Kermanshah. (in Persian)
Makhdoum, M. 2012. Shalode Amash Sarzamin, Tehran University Press, 15th edition. (in Persian)
Makhdoum, M. et al. 2008. Evaluation of environmental planning with Geographic Information System (GIS), Tehran University Press, 4th edition. (in Persian)
Makhdoum, M.; Darvish Sefat, A. A; Hoorfarzadeh, J. & Makhdoum, A. 2012. Environmental assessment and planning with Geographic Information System, Tehran University Press, page 27. (in Persian)
Malhotra. R.C.1980. Environmental management: Intregrated Rural 277.
Montgomery, B., Dragićević, S., Dujmović, J., & Schmidt, M. 2016. A GIS-based Logic Scoring of Preference method for evaluation of land capability and suitability for agriculture. Computers and Electronics in Agriculture, 124, 340-353.
Motiei Langroudi, S. Nasiri, H. Azizi, A. & Mustafaei, A. 2012. Modeling the ecological potential of the land from the perspective of agricultural and pasture uses using the FUZZY AHP method in the teak environment of a case study of Maroodasht city), University of Tehran Journal of Land Studies, Volume 4, Number 6, pp. 101 to 124. (in Persian)
Rafiei Mirza, A. 2012. Evaluation of the ecological potential of the environment in the Geographical Information System (GIS) and satellite images (case study: the area of the reservoir and the irrigation network of the Green Nahavand dam), master's thesis, Islamic Azad University, Yazd branch. (in Persian)
Rudgarmi, P. 2017. Preliminary evaluation of the ecological potential of the Damavand watershed for pasture use by Geographic Information System, the fifth conference of geographic information systems. (in Persian)
Sargolzaei, B. 2019. Evaluation of the ecological potential of Zabol city using Remote Sensing (RS) technologies and Geographic Information System (GIS), master's thesis, Islamic Azad University, Tehran Electronics Department. (in Persian)
Sargolzahi, S. 2014. Study and analysis of Sistan plain with emphasis on agricultural development, master's thesis, Zabul University. (in Persian)
Shan, W., Jin, X., Ren, J., Wang, Y., Xu, Z., Fan, Y., Gu, Z., Hong, C., Lin, J., & Zhou, Y. 2019. Ecological environment quality assessment based on remote sensing data for land consolidation. Journal of Cleaner Production, 239, 118126.
Sharifipour, R., & Makhdoum, M. 2013. Land survey of the Kabar-Kahk Qom watershed (using geographic information system). Environmental Science, 30(34)
Shojaeizadeh, A. 2016. Evaluation of the ecological potential of Behbahan city in the direction of strategic development of sustainable residence and activity, Master's thesis, Allameh Tabatabai University. (in Persian)
Tolche, A. D., Gurara, M. A., Pham, Q. B., & Anh, D. T. 2021. Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach. Geocarto International, 1-21.
Yalew, S. G., Van Griensven, A., Mul, M. L., & Van der Zaag, P. 2016. Land suitability analysis for agriculture in the Abbay basin using remote sensing, GIS and AHP techniques. Modeling Earth Systems and Environment, 2(2), 1-14.
Zamani, M. 2014. Evaluation of the ecological potential of Oz Baharestan region using GIS, master's thesis in the field of land management, Payam Noor University of Tehran Province, East Tehran Center. (in Persian)
Environmental Researches
Volume 14, Issue 28
Recerches
March 2024
Pages 159-179

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