Spatial Analysis of Environmental Hazards

Spatial Analysis of Environmental Hazards

Ecological Catastrophe in the Sultanieh Grassland: An Integrated Assessment of Anthropogenic and Climatic Drivers Using Remote Sensing and Catastrophe Theory

Authors
peyam Afshar
Eisa Piri
University of Zanjan
10.66224/jsaeh.12.4.7
Abstract
Objective: “This study aims to investigate the drivers of ecological rupture in the Sultanieh Grassland, one of Iran’s most valuable natural ecosystems, which has experienced severe degradation over the past two decades. The research seeks to identify and prioritize the relative contributions of climatic, hydrological, and anthropogenic factors in triggering systemic instability and to assess whether the ecosystem has crossed a critical threshold toward irreversible collapse.

Methods: An integrated analytical framework was employed, combining multi-source datasets from 2000 to 2021. Remote sensing indicators—including the Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and Soil Moisture (SM)—were derived from MODIS and Landsat imagery. Hydroclimatic time series (temperature, precipitation, potential evapotranspiration [PET], and groundwater levels) were analyzed alongside demographic statistics and land use/land cover (LULC) changes. A multi-criteria weighting approach, grounded in catastrophe theory, was applied to objectively quantify the relative influence of key drivers while minimizing subjective bias in decision-making.

Results: The analysis reveals a 15% decline in effective precipitation, a 1°C increase in mean annual temperature, and a groundwater table drop exceeding 30 meters over the study period. These environmental stresses were compounded by a fourfold population growth and a doubling of per capita water consumption. Consequently, vegetation cover declined persistently, with NDVI decreasing from 0.2817 in 2004 to 0.1701 in 2021, while barren lands expanded significantly. Within the catastrophe theory framework, three primary drivers—groundwater depletion, vegetation loss, and population–water pressure—were identified as collectively responsible for 50% of the system’s destabilization. The evidence confirms a transition from a stable ecological state to a dissipative, degraded phase.

Conclusions: The Sultanieh Grassland has likely crossed a critical ecological threshold due to the synergistic intensification of anthropogenic and climatic pressures within a geomorphologically and hydrologically vulnerable setting. Without immediate intervention—including sustainable groundwater management, strict control of urban expansion, and active restoration of hydrological equilibrium—the ecosystem faces irreversible transformation into an active source of dust emissions and desertification. This study underscores the urgency of science-based policy actions to prevent the total collapse of this irreplaceable natural and cultural heritage site.
Keywords
Anthropocene
catastrophe theory
ecological rupture
land use change
Sultanieh Grassland
Abbasi Nejad, H. & Mohamadi, S. (2002). Catastrophe theory and its application in economics. Iranian Journal of Economic Research, 4(12), 11-28. (in Persian) https://ijer.atu.ac.ir/article_3828_ce9ba0ecc0a9610fb5c05444d5b35b93.pdf
Boroughani, M., Pourhashemi, S., Gholami, H. & Kaskaoutis, D. G. (2021). Predicting of dust storm source by combining remote sensing, statistic-based predictive models and game theory in the Sistan watershed, southwestern Asia. Journal of Arid Land, 13(11), 1103-1121. https://doi.org/10.1007/s40333-021-0023-3
Chatterjee, R. & Bhattacharya, B. (2013). Weighting of environmental indicators for vulnerability assessment. Ecological Indicators, 32, 24–32.
Du, H., Wang, T., Xue, X. & Li, S. (2018). Modelling of sand/dust emission in Northern China from 2001 to 2014. Geoderma, 330, 162-176. https://doi.org/10.1016/j.geoderma.2018.05.038
Esfandiary Darabad, F., Rostami, G., Mostafazadeh, R. & Abedini, M. (2024). Assessment of landslide risk using catastrophe theory in Zemkan watershed, Kermanshah. Quantitative Geomorphological Research, 13 (2), 106-125. (in Persian) doi: 10.22034/gmpj.2024.452001.1498
Eskandari Damaneh, H., Zehtabian, G., Khosravi, H., Azarnivand, H. & Barati, A. (2021). Simulation of future spatial and temporal changes in land uses and cover in arid areas (Case study: Minab plain). Iranian Journal of Range and Desert Research, 28(3), 520-536. (in Persian) doi: 10.22092/ijrdr.2021.125019
Esmaeili, R. & Hosseinzadeh, M. (2015). Comparison of Rozgen and Steelrod methods in classifying mountain rivers, case study of Northern Alborz, Lavij watershed. Earth Science Research , 6 (1), 64-79. (in Persian)
Farajzadeh, M. , Ahmadi, M. , Alijani, B. , Qavidel Rahimi, Y. , Mofidi, A. & Babaeian, I. (2013). Study on Variation of Major Teleconnection Patterns (MTP) associated with Iran’s Precipitatio. Journal of Climate Research, 1392 (15), 31-45. (in Persian) https://clima.irimo.ir/?_action=xml&article=14936
Gustafsson, J., Cederberg, C., Sonesson, U. & Emanuelsson, A. (2013). The methodology of the FAO study: Global Food Losses and Food Waste-extent, causes and prevention-FAO, 2011.
Jafari, G. & Karimi, Z. (2021). Geomorphological study of Soltanieh grass (Zanjan province). Journal of Environmental Science Studies, 6 (2), 3596-3604. (in Persian) https://www.jess.ir/article_129309.html?lang=fa
Jafari, H. & Mohamadi, H. (2018). Dominoes in Geomorphology (Case study: Ghezel Owzan basin). E.E.R., 8 (3): 16-36. (in Persian)http://magazine.hormozgan.ac.ir/article-1-422-fa.html
KheirizadehArouq, M. & Esmaeilpour , M. (2021). Application of Catastrophe Theory in Optimum SiteSelection for Spatial Development of Cities Based on Natural Hazards and Variables (Case Study: TabrizMetropolis). Geography and Development, 19 (62), 1-30. (in Persian) http://dx.doi.org/10.22111/J10.22111.2021.6001
Mesri Alamdari, P. & Kheirizadeh Arough, M. (2020). Vulnerability Assessment of Cities to Earthquake based on the Catastrophe Theory: A Case Study of Varzeqan City, Iran. Journal of Geography and Environmental Hazards, 9 (3), 99-123. (in Persian) doi: 10.22067/geoeh.2020.67013.0
Mikaili HajiKandi K., Sobhani, B. & Vramesh, S. (2021). Detection of Surface Temperature Changes Using Satellite Images and Real Data and its Relationship with the Covered Vegetation in the Southern Part of the Lake Urmia. GeoRes, 36 (2) :191-203. (in Persian) http://georesearch.ir/article-1-1032-fa.html
Nouri, H., Faramarzi, M., Sadeghi, S. H. & Nasseri, S. (2019). Effects of regional vegetation cover degradation and climate change on dusty weather types. Environmental Earth Sciences, 78(24), 723. https://doi.org/10.1007/S12665-019-8763-5
Scheffer, M. & Carpenter, S. R. (2003). Catastrophic regime shifts in ecosystems: linking theory to observation. Trends in ecology & evolution, 18(12), 648-656. http://www.trends.com/
Shayan, S. & Akbarian, M. (2016). The Impact of Climatic Extreme Events on Aeolian Geomorphic Process from Catastrophic Theory aspect (Case study: Coastal Plain of Western Makran). GeoRes, 30 (4), 54-63. (in Persian) http://georesearch.ir/article-1-86-fa.html
Thom, R. (1975). Structural Stability and Morphogenesis: An Outline of a General Theory of Models. W. A. Benjamin.
Villeneuve, J. P., Mee, L. D., UNEP, N. K. & Intergovernmental Oceanic Commission. (1992). World-wide and regional intercomparison for the determination of organochlorine compounds and petroleum hydrocarbons in sediment sample IAEA-357. Report no. 51 (No. IAEA-AL--55). UNEP, Nairobi (Kenya).