Monitoring the Ecological Security of Esfahan with an Ecosystem Service Approach

Document Type : Research Paper

Authors

Department of Planning and Designing the Environment, Environmental Science Research Institute, Shahid Beheshti University, Tehran, Iran

Abstract

Arid and semi-arid regions of the world have been severely degraded by human and natural factors. These regions play an important role in reducing natural disasters and improving human well-being due to their unique ecosystems, rich resources and economically suitable areas. In this regards, in order to estimate the effects of man-made pressures on biological capacity of Esfahan city, consumption footprint pressure index (CFPI) and production footprint pressure index (PFPI) were used based on the concept of ecological footprint during 2000-2019. Besides, the ecological footprint distribution index (EFCI) was evaluated to investigate the pressures created by CFPI and PFPI. In this study, carbon storage service was integrated with ecological footprint index to evaluate the level of ecological security index (ESI) for consideration of the performance of the ecosystem as a criterion in the evaluations. The results showed that despite the different fluctuations in the trend of CFPI and PFPI variations during the study timespan, these indices have approximately a decreasing trend. In addition, the negative values of EFCI illustrates the higher effectiveness of the consumption footprint in determining the ecological safety index than the production footprint, and according to the decision-making model, this index in the ‘high risk’ class. Comparison of the biological capacity and the ecological footprint highlighted a severe ecological deficit and weak ecological security in Esfahan city during the studied timespan. The outcomes to this study could help policy makers and decision makers to adopt strategies such as the scenario of reducing the ecological footprint or increasing the biological capacity considering the land management criteria.
Extended Abstract
1-Introduction
 Ecosystems have been altered and destroyed by the pressures of human activities and natural hazards around the world. The emergence and intensification of these pressures called the experts and policymakers to consider the concepts of carrying capacity to achieving sustainable development, especially in crowded areas which have sensitive ecosystems. Ecological security is known as a strategically important issue from a social, economic and political point of view, and in fact, maintaining the ecological security of a small region will maintain global and regional ecological security which allow economic growth and sustainable development. This study aimed to investigate the variations of carrying capacity and ecological security with the approach of ecosystem services in the arid and semi-arid ecosystems of Esfahan city during 2000 – 2019.
2-Materials and Methods
 In order to estimate the effects of man-made pressures on natural resources in Esfahan city, consumption footprint pressure index (CFPI) and production footprint pressure index (PFPI) were used based on the concept of ecological footprint. In this regard, at first, the trace of product distribution, the imported and exported product for different products and wastes were calculated and biological capacity was calculated based on the classification of satellite images in the time period. Besides, the ecological footprint distribution index (EFDI) was evaluated to estimate the pressures created by CFPI and PFPI. The ecological security index modeled to assess the level of ecological security in Esfahan using these indices.
3-Results and Discussion
The results illustrated that CFPI, PFPI had the average per capita of 9 and 7 global hectares, respectively, during 2000 – 2019. Moreover, consumption footprint capita index (CFCI) and production footprint capita index (PFCI) had the average of 3.05 and 3.89 global hectares, respectively, during 2000 – 2019. In addition, CFPI, PFPI, and CFCI decreased, while PFCI indicated ascending slope during the study timespan. According to the results of present study, the negative value of EFDI indicated that the ecological security is more affected by CFPI when compared with PFPI in Esfahan during 2000-2019. The biological capacity per capita decreased from 0.48 to 0.389 global hectares in Esfahan between 2000 and 2019. Although, it was observed higher fluctuation in the trend of EFDI, it showed reducing slope with the average of -0.22 over the studied years. Generally, the ecological security index exposed to drastic risk and according to the decision-making model, this index is classified as the ‘high risk’.
4-Conclusion
The value of 0.44 hectares worldwide indicates low biological capacity in the city of Esfahan. The per capita ecological deficit in the city of Esfahan is equal to -3.5. In addition, the rate of resource using raises the potential concerns at this level. On the other hand, the lack of biological capacity of Isfahan city compared to the country (one fourth) shows that development has occurred in areas that do not have good ecological capacity and this issue is considered as a warning for development. According to the analysis of changes in consumption footprint and production footprint of different types of land use from 2000 to 2019, it can be seen that this risk in terms of consumption footprint is mainly related to energy and then agriculture. Accordingly, the production pressure index has decreased from 3.17 in 2000 to 2.22 in 2019. However, the production pressure index has decreased slightly in the same period. This has tripled due to the need for energy consumption, which leads to carbon dioxide emissions. Comparison of the biological capacity and the ecological footprint highlighted a severe ecological deficit and weak ecological security which is due to the surplus demand, pressures on production resources, and higher consumption than the biological capacity in Esfahan city during the studied timespan. Induced pressure on resource to make products, high energy consumption, degradation of the ecosystem function, and reduced biological capacity are the main components of the reducing EFDI in the study area, which illustrated the significant effects of CFPI on the ecological security of Esfahan. It should be considered that the decreasing biological capacity has played an important role in increasing the ecological footprint due to human and natural causes. Finally, it is suggested that the decision-makers adopt strategies such as the scenario of reducing footprint or increasing biological capacity in their agenda, based on the principles of land use management and taking into account the needs of stakeholders.

Keywords


References
Amekudzi, A., Khayesi, M. & Khisty, C. J. (2015). Sustainable development footprint: A framework for assessing sustainable development risks and opportunities in time and space. International Journal of Sustainable Development18 (1-2), 9-40.
Asadolahi, Z. & Salman mahini, A. (2017). Assessing the Impact of Land Use Change on Ecosystem Services Supply (Carbon Storage and Sequestration). Environmental Researches, 8 (15), 203-214 (In Persian).
Baabou, W., Grunewald, N., Ouellet-Plamondon, C., Gressot, M. & Galli, A. (2017). The Ecological Footprint of Mediterranean cities: Awareness creation and policy implications. Environmental Science & Policy69, 94-104.
Barrett, M., Belward, A., Bladen, S: Breeze, T., Burgess, N., Butchart, S., Clewclow, H., Cornell, S., et al. (2018). Living Planet Report 2018: Aiming Higher. Switzerland. available at http://pure.iiasa.ac.at/15549.
Bartel, A. (2000). Analysis of landscape pattern: towards a ‘top down’indicator for evaluation of landuse. Ecological Modelling, 130 (1-3), 87-94.
Bastianoni, S., Niccolucci, V., Pulselli, R. M. & Marchettini, N. (2012). Indicator and indicandum: “Sustainable way” vs “prevailing conditions” in the Ecological Footprint. Ecological Indicators16, 47-50.
Bihamta, N., Soffianian, A., Fakheran, S. & Gholamalifard, M. (2015). Using the SLEUTH urban growth model to simulate future urban expansion of the Isfahan metropolitan area, Iran. Journal of the Indian Society of Remote Sensing, 43 (2), 407-414.
Borucke, M., Moore, D., Cranston, G., Gracey, K., Iha, K., Larson, J., ... & Galli, A. (2013). Accounting for demand and supply of the biosphere's regenerative capacity: The National Footprint Accounts’ underlying methodology and framework. Ecological indicators24, 518-533.
Cardenes, I., Hall, J. W., Eyre, N., Majid, A. & Jarvis, S. (2020). Quantifying the energy consumption and greenhouse gas emissions of changing wastewater quality standards. Water Science and Technology.
Chuan, T. O. N. G. (2000). Review on environmental indicator research. Research of environmental sciences, 13(4).53-55.
Deng, C., Liu, Z., Li, R. & Li, K. (2018). Sustainability evaluation based on a three-dimensional ecological footprint model: a case study in Hunan, China. Sustainability10 (12), 4498.
Environment Canada (2014). National Inventory Report: Greenhouse Gas Sources and Sinks in Canada. available at: http://www.ec.gc.ca/ges-ghg/.     
Feyzi M. T. & Shirani, K. (2017). Preparing Botanic Formation Map based on Ecological-botanic Studies (Case Study: Isfahan Province). Iranian Journal of Applied Ecology. 6 (2), 83-97 (In Persian).
Fu, W., Turner, J. C., Zhao, J. & Du, G. (2015). Ecological footprint (EF): An expanded role in calculating resource productivity (RP) using China and the G20 member countries as examples. Ecological indicators48, 464-471.
Galli, A., Kitzes, J., Niccolucci, V., Wackernagel, M., Wada, Y. & Marchettini, N. (2012). Assessing the global environmental consequences of economic growth through the ecological footprint: a focus on China and India. Ecological Indicators17, 99-107.
General Department of Fisheries of Isfahan Province (2015). Per capita consumption of aquatic animals (In Persian).
Grigoryeva, V. V. (2010). Research of Parameters of a Personal Ecological Footprintas an Effective Tool of Education for Sustainable Development, In: Simone Bastianoni. The State of the Art in Ecological Footprint Theory and Applications Academic Conference Short Communications, (pp. 51-53). Italy: FOOTPRINT FORUM.
Han, B., Liu, H. & Wang, R. (2015). Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods. Ecological Modelling318, 217-225.
Hoyle, A. (2020). Modelling the effect of Canada's clean fuel standard on greenhouse gas emissions. Master Degree of of Resource Management. Faculty of Environment, Simon Fraser University. Canada.
Huang, Q., Wang, R., Ren, Z., Li, J. & Zhang, H. (2007). Regional ecological security assessment based on long periods of ecological footprint analysis. Resources, Conservation and Recycling51 (1), 24-41.
IPCC (2007). Climate Change 2007: Impacts, Adaptation and Vulnerability. Cambridge University Press, UK. available at https://www.ipcc.ch/report.
Isfahan Agricultural Jihad Office (2018). Per capita food consumption and yield of agricultural products (In Persian).
Jomepour, M. & Hataminejad, H. (2013). An Investigation on Sustainable Development in Rasht County Using Ecological Footprint. Human Geography Research Quarterly, 45 (3), 191-208 (In Persian).
Karimzadeh, Z., Lotfi, A. & Pourmanafi, S. (2020). Modeling the Sustainable Land-Use Allocation in the Great Isfahan Using Multi-Criteria Evaluation in GIS Environment. Geography and Sustainability of Environment, 35 (10), 21-35 (In Persian).
Keshtkar, M. (2017). Land Sustainable Planing Base On Strategic Assessment of Ecosystem Services (Case Study: Zagros Biom’s in Iran). master thesis, Shahid Beheshti University (In Persian).
Kitzes, J. & Wackernagel, M. (2009). Answers to common questions in Ecological Footprint accounting. Ecological Endicator, 9, 812-817.
Lei, Y. A. O. (2014). Carbon footprint evaluation on raw materials stage of textile and garment carbon emission reduction measures: In case of cotton. Journal of the Tianjin Polytechnic University/Tianjin Gongye Daxue Xuebao33 (1).70-76.
Li, J. X., Chen, Y. N., Xu, C. C. & Li, Z. (2019). Evaluation and analysis of ecological security in arid areas of Central Asia based on the emergy ecological footprint (EEF) model. Journal of Cleaner Production235, 664-677.
Li, X., Tian, M., Wang, H., Wang, H. & Yu, J. (2014). Development of an ecological security evaluation method based on the ecological footprint and application to a typical steppe region in China. Ecological Indicators39, 153-159.
Li, Z. & HE, J. (2011). Regional Ecological Security Assessment Based on Improved Method of Ecological Footprint (the Case of Shandong Chang Dao County). System Sciences and Comprehensive Studies in Agriculture, 3, 8-14.
Liu, D. & Chang, Q. (2015). Ecological security research progress in China. Acta Ecologica Sinica35 (5), 111-121.
Lundquist, J. E. & Sommerfeld, R. A. (2002). Use of fourier transforms to define landscape scales of analysis for disturbances: a case study of thinned and unthinned forest stands. Landscape Ecology17 (5), 445-454.
Mancini, M. S., Galli, A., Coscieme, L., Niccolucci, V., Lin, D., Pulselli, F. M. ... & Marchettini, N. (2018). Exploring ecosystem services assessment through Ecological Footprint accounting. Ecosystem Services30, 228-235.
Mancini, M. S., Galli, A., Niccolucci, V., Lin, D., Bastianoni, S., Wackernagel, M. & Marchettini, N. (2016). Ecological footprint: refining the carbon footprint calculation. Ecological indicators61, 390-403.
Mansourianfar, M. H. & Haghshenas, H. (2018). Micro-scale sustainability assessment of infrastructure projects on urban transportation systems: Case study of Azadi district, Isfahan, Iran. Cities72, 149-159.
MEA, M. E. A. (2005). Ecosystems and human well-being: synthesis. Island, Washington, DC
Meteorological Organization (2019). Meteorological data of Isfahan province (In Persian).
Mobarghai, N., Sharzehie, G., Makhdoum, M., Yavari, A. & Jafari, H. (2009). The spatial valuation pattern of Co2 absorption function in Caspian forests of Iran. Journal of Environmental Studies, 35 (50), 57-68 (In Persian).
Mohmadai, N., Shaesteh, K., Eldrami, A. & Melhossainidarani, K. (2017). Assessment of Urban Carrying Capacity and Ecological Security of Sanandaj Using Ecological Footprint Method. Geography and Sustainability of Environment, 6 (4), 67-79 (In Persian).
Monfreda, C., Wackernagel, M. & Deumling, D. (2004). Establishing national natural capital accounts based on detailed ecological footprint and biological capacity assessments. Land use policy21 (3), 231-246.
Peng, J., Yang, Y., Liu, Y., Du, Y., Meersmans, J. & Qiu, S. (2018). Linking ecosystem services and circuit theory to identify ecological security patterns. Science of the total environment, 644, 781-790.
Qiu, W., Zhao, Q. L., Zhao, Z. W. & Li, S. (2008). Ecological Security Analysis: A Case Study in Heilongjiang Province of China. 2nd International Conference on Bioinformatics and Biomedical Engineering .4421-4425.
Sasanpour, F., Shamaezadeh, A. & Asar, S. (2017). Investigation on Sustainable Development in Esfahan County whit Ecological Footprint method. Researches in Earth Sciences, 8 (1), 18-31 (In Persian).
Sharp, R., Chaplin-Kramer, R., Wood, S., Guerry, A., Tallis, H. & Taylor, R. (2014). InVEST user’s guide: integrated valuation of environmental services and tradeoffs. The Natural Capital Project. In Stanford Woods Institute for the Environment. University of Minnesota's Institute on the Environment, the Nature Conservancy & WW Foundation Stanford. 305.
Shayesteh, K., Darani, K. M. & Ildoromi, A. (2015). Ecological impact assessment of the citizens of Isfahan’s life using the ecological footprint index. International Journal of Advanced Life Sciences. 8 (4), 430-438.
Statistical Yearbook of Isfahan Province (2018). Deputy of Statistics and Information (In Persian).
Stöglehner, G. (2003). Ecological footprint—a tool for assessing sustainable energy supplies. Journal of cleaner production11 (3), 267-277.
Wackernagel, M. & Rees, W. (1996). our Ecological footprint, educing human Impact on the earth.
Wackernagel, M., Monfreda, C., Schulz, N. B., Erb, K. H., Haberl, H. & Krausmann, F. (2004). Calculating national and global ecological footprint time series: resolving conceptual challenges. Land use policy21 (3), 271-278.
Wu, M., Wei, Y., Lam, P. T., Liu, F. & Li, Y. (2019). Is urban development ecologically sustainable? Ecological footprint analysis and prediction based on a modified artificial neural network model: a case study of Tianjin in China. Journal of Cleaner Production237, 117795.
Zhang, H. & Xu, E. (2017). An evaluation of the ecological and environmental security on China’s terrestrial ecosystems. Scientific Reports7 (1), 1-12.
Zhang, K., Lin, N., Xu, D., Yu, D. & Zou, C. (2018). Research advance on ecological security in China: Assessment models and management measures. Journal of Ecology and Rural Environment34 (12), 1057-1063.
Zhao, J., Ma, C., Zhao, X. & Wang, X. (2018). Spatio-temporal dynamic analysis of sustainable development in China based on the footprint family. International journal of environmental research and public health15 (2), 246.
Zhao, M., He, Z., Du, J., Chen, L., Lin, P. & Fang, S. (2019). Assessing the effects of ecological engineering on carbon storage by linking the CA-Markov and InVEST models. Ecological Indicators98, 29-38.
Zhao, R., Chuai, X., Huang, X., Lai, L. & Peng, J. (2014). Carbon Emission and Carbon Footprint of Different Industrial Spaces in Different Regions of China, Assessment of Carbon Footprint in Different Industrial Sectors, Vol. 1, Edited by Subramanian Senthilkannan Muthu, Springer.