Climate change is a paramount challenge confronting socio-ecological systems in Iran, exerting both direct and indirect impacts on natural resource governance, particularly concerning water and agricultural resources. This research aimed to investigate climate change and its ramifications for natural resource management by collecting daily temperature (minimum and maximum), precipitation, and sunshine hours data from the Mahabad meteorological station for the historical period of 1986 to 2014 from the National Meteorological Organization. Subsequently, the LARS-WG downscaling model was employed, utilizing outputs from five general circulation models (ACCESS-ESM1-5, CNRM-CM6-1, HadGEM3-GC31-LL, MPI-ESM1-2-LR, and MRI-ESM2-0) under three emission scenarios (SSP126, SSP245, and SSP585) to simulate climatic conditions for the future period of 2021 to 2040. To enhance prediction accuracy, model weighting was conducted based on the deviation of simulated data from observed values during the baseline period. The results indicate an approximate 8% increase in average maximum temperature and about a 20% increase in average minimum temperature, while the average annual precipitation is projected to decrease by approximately 13%. These changes, particularly with reduced summer precipitation and significant winter fluctuations, pose serious implications for natural resource governance, including increased pressure on surface and groundwater resources, diminished sustainability of rain-fed agriculture, threats to food security, and an elevated risk of winter floods. A SWOT analysis revealed that alongside these substantial threats, opportunities exist, such as developing modern irrigation systems, modifying cultivation patterns, and leveraging the capacity of Mahabad Dam for water storage. The findings of this research can thus provide a scientific foundation for adaptive policymaking and strengthening socio-ecological resilience in the sustainable management of the region's natural resources.
Abdulsahib, M. A., Ali, M. H., Al-Ansari, N., Laue, J., & Knutsson, S. (2024). Stochastic downscaling of daily precipitation and temperature under CMIP6 climate change scenarios using LARS-WG model for northern Iraq. Theoretical and Applied Climatology, 156(1–2), 237–252. https://doi.org/10.1007/s00704-023-04649-2
Adger, W. N., Dessai, S., Goulden, M., Hulme, M., Lorenzoni, I., Nelson, D. R., ... & Wreford, A. (2009). Are there social limits to adaptation to climate change? Climatic Change, 93(3–4), 335–354. https://doi.org/10.1007/s10584-008-9520-z
Azari, M., Dinpashoh, Y., & Mirabbasi, R. (2021). Assessment of precipitation erosivity factor under climate change in Iran. Theoretical and Applied Climatology, 144(3–4), 1281–1295. https://doi.org/10.1007/s00704-021-03598-1
Diffenbaugh, N. S., & Burke, M. (2019). Global warming has increased global economic inequality. Proceedings of the National Academy of Sciences, 116(20), 9808–9813. https://doi.org/10.1073/pnas.1816020116
Firoozzare, A., Mahdavi-Mazdeh, M., Ghasemi, A., & Rahmani, M. (2023). An integrated SWOT-BWM-WASPAS approach to enhance sustainable rain-fed agriculture: A case study in Mashhad, Iran. Agriculture, 13(6), 1215. https://doi.org/10.3390/agriculture13061215
Goli, I., Alizadeh, H., Karami, E., & Shiri, J. (2021). Evaluating the productivity of paddy water resources in northern Iran using SWOT analysis. Water, 13(21), 2964. https://doi.org/10.3390/w13212964
Goudarzi, M., Mo’tamed-Vaziri, B., & Mirhosseini, M. R. (2019). [Evaluation of meteorological parameters changes due to climate change using LARS weather generator: A case study of Kan watershed]. Environmental Sciences, University of Tehran. (In Persian) https://doi.org/
IPCC. (2021). Climate change 2021: The physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. https://doi.org/10.1017/9781009157896
Jahangir, M. H., Abbasi, F., & Toomanian, N. (2022). Climate change impact assessment on precipitation and temperature using LARS-WG and CMIP6 models in southern Iran. Meteorological Applications, 29(5), e2084. https://doi.org/10.1002/met.2084
Madani, K., AghaKouchak, A., & Mirchi, A. (2016). Iran’s socio-economic drought: Challenges of a water‐bankrupt nation. Iranian Studies, 49(6), 997–1016. https://doi.org/10.1080/00210862.2016.1259286
Nazari-Sharabian, M., Taheriyoun, M., Ahmad, S., Karakouzian, M., & Ahmadi, A. (2019). Water quality modeling of Mahabad Dam watershed–reservoir system under climate change conditions, using SWAT and system dynamics. Water, 11(2), 394. https://doi.org/10.3390/w11020394
Nouri, M. (2019). Impact of climate variation and human activities on water resources in Mahabad aquifer, northwestern Iran. AQUA, 68(2), 121–130. https://doi.org/10.2166/aqua.2019.079
Ostad-Ali-Askari, K., Ghorbanizadeh Kharazi, H., Shayannejad, M., & Zareian, M. J. (2020). Effect of climate change on precipitation patterns in an arid region using GCM models: Case study of Isfahan-Borkhar Plain. Natural Hazards Review, 21(3), 04020006. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000378
Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325(5939), 419–422. https://doi.org/10.1126/science.1172133
Safavi Gerdini, M., Ebrahimi, M., Gheitasi, M., & Ahmadpari, H. (2022). Strategic assessment of urban water resource management in Iran using SWOT-AHP method. Environment, Development and Sustainability, 24(12), 14071–14095. https://doi.org/10.1007/s10668-021-02001-7
Semenov, M. A., & Stratonovitch, P. (2010). Use of a stochastic weather generator in the development of climate change impact assessments. Climatic Change, 89(3–4), 279–301. https://doi.org/10.1007/s10584-009-9613-8
Sheikha-BagemGhaleh, S., Babazadeh, H., Rezaie, H., & Sarai-Tabrizi, M. (2023). The effect of climate change on surface and groundwater resources using WEAP-MODFLOW models: A case study of Mahabad, northwest of Iran. Applied Water Science.https://doi.org/10.1007/s13201-023-01923-4
Tabari, H. (2020). Climate change impact on flood and extreme precipitation increases with water availability. Scientific Reports, 10, 13768. https://doi.org/10.1038/s41598-020-70816-2
Weihrich, H. (1982). The SWOT analysis using a multifunctional tool. Journal of Long Range Planning, 15(3), 47–66.
Zareian, M. J., Eslamian, S., & Safavi, H. R. (2015). A modified regionalization weighting approach for climate change impact assessment at watershed scale. Theoretical and Applied Climatology, 122(3–4), 497–516. https://doi.org/10.1007/s00704-014-1307-8
dastranj,R and nohegar,A . (2025). Analysis of Climate Change and Its Implications for Natural Resource Governance: An Integrated Approach Using LARS-WG and SWOT. Natural Resources Governance, 2(2), 176-191. doi: 10.22059/jnrg.2025.401978.1053
MLA
dastranj,R , and nohegar,A . "Analysis of Climate Change and Its Implications for Natural Resource Governance: An Integrated Approach Using LARS-WG and SWOT", Natural Resources Governance, 2, 2, 2025, 176-191. doi: 10.22059/jnrg.2025.401978.1053
HARVARD
dastranj R, nohegar A. (2025). 'Analysis of Climate Change and Its Implications for Natural Resource Governance: An Integrated Approach Using LARS-WG and SWOT', Natural Resources Governance, 2(2), pp. 176-191. doi: 10.22059/jnrg.2025.401978.1053
CHICAGO
R dastranj and A nohegar, "Analysis of Climate Change and Its Implications for Natural Resource Governance: An Integrated Approach Using LARS-WG and SWOT," Natural Resources Governance, 2 2 (2025): 176-191, doi: 10.22059/jnrg.2025.401978.1053
VANCOUVER
dastranj R, nohegar A. Analysis of Climate Change and Its Implications for Natural Resource Governance: An Integrated Approach Using LARS-WG and SWOT. Nat. Resour. Governance. 2025;2(2):176-191 (In Persian). doi: 10.22059/jnrg.2025.401978.1053