Citation: | Shengru Yue, Lunche Wang, Qian Cao, Jia Sun. Assessment of Future Cotton Production in the Tarim River Basin under Climate Model Projections and Water Management. Journal of Earth Science, 2025, 36(4): 1780-1792. doi: 10.1007/s12583-025-0213-6 |
Climate change is significantly impacting cotton production in the Tarim River Basin. The study investigated the climate change characteristics from 2021 to 2100 using climate change datasets simulated per the coupled model inter-comparison project phase six (CMIP6) climatic patterns under the shared socioeconomic pathways SSP2-4.5 and SSP5-8.5. The DSSAT-CROPGRO-Cotton model, along with stepwise multiple regression analyses, was used to simulate changes in the potential yield of seed cotton due to climate change. The results show that while future temperatures in the Tarim River Basin will rise significantly, changes in precipitation and radiation during the cotton-growing season are minimal. Seed cotton yields are more sensitive to low temperatures than to precipitation and radiation. The potential yield of seed cotton under the SSP2-4.5 scenario would increase by 14.8%, 23.7%, 29.0%, and 29.4% in the 2030S, 2050S, 2070S, and 2090S, respectively. In contrast, under the SSP5-8.5 scenario, the potential yield of seed cotton would see increases of 17.5%, 27.1%, 30.1%, and 22.6%, respectively. Except for the 2090s under the SSP5-8.5 scenario, future seed cotton production can withstand a 10% to 20% deficit in irrigation. These findings will help develop climate change adaptation strategies for cotton cultivation.
Adhikari, P., Ale, S., Bordovsky, J. P., et al., 2016. Simulating Future Climate Change Impacts on Seed Cotton Yield in the Texas High Plains Using the CSM-CROPGRO-Cotton Model. Agricultural Water Management, 164: 317–330. https://doi.org/10.1016/j.agwat.2015.10.011 |
Adhikari, U., Nejadhashemi, A. P., Woznicki, S. A., 2015. Climate Change and Eastern Africa: A Review of Impact on Major Crops. Food and Energy Security, 4(2): 110–132. https://doi.org/10.1002/fes3.61 |
Allen, R. G., Pereira, L. S., Raes, D., et al., 1998. Crop Evapotranspiration-Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage paper 56. Fao, Rome, 300(9), D05109. |
Chen, F. H., Xie, T. T., Yang, Y. J., et al., 2023. Discussion of the "Warming and Wetting" Trend and Its Future Variation in the Drylands of Northwest China under Global Warming. Science China Earth Sciences, 66(6): 1241–1257. https://doi.org/10.1007/s11430-022-1098-x |
Chen, X. X., Wang, L. C., Niu, Z. G., et al., 2020. The Effects of Projected Climate Change and Extreme Climate on Maize and Rice in the Yangtze River Basin, China. Agricultural and Forest Meteorology, 282: 107867. https://doi.org/10.1016/j.agrformet.2019.107867 |
Ding, J. L., Yang, S. T., Shi, Q., et al., 2020. Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China. Remote Sensing, 12(16): 2601. https://doi.org/10.3390/rs12162601 |
Du, J. T., Zhang, N., Gong, K. N., et al., 2021. Optimization of Cotton Irrigation Schedule under Mulch Drip Irrigation in Southern Xinjiang Based on DSSAT Model. Chinese Journal of Ecology, 40(11): 3760–3768. https://doi.org/10.13292/j.1000-4890.202111.030 (in Chinese with English Abstract) |
Hatfield, J. L., Prueger, J. H., 2015. Temperature extremes: Effect on Plant Growth and Development. Weather and Climate Extremes, 10: 4–10. https://doi.org/10.1016/j.wace.2015.08.001 |
Khan, M. A., Wahid, A., Ahmad, M., et al., 2020. World Cotton Production and Consumption: An Overview. In: Ahmad, S., Hasanuzzaman, M., eds., Cotton Production and Uses. Springer Singapore, Singapore. 1–7. |
Li, L. L., Wu, H. Q., Gao, Y. M., et al., 2023. Predicting Ecologically Suitable Areas of Cotton Cultivation Using the MaxEnt Model in Xinjiang, China. Ecologies, 4(4): 654–670. https://doi.org/10.3390/ecologies4040043 |
Li, M., 2020. Study on Effect of Irrigation and Fertilization Regulation and Simulation of Cotton Growth under Film-Mulched Drip Irrigation in Southern Xinjiang: [Dissertation]. Northwest A & F University, Xi'an. Ⅰ–Ⅲ, 111–112 (in Chinese with English Abstract) |
Li, N., 2021. Effects of Climate Change on Cotton Growth and Yield: [Dissertation]. Northwest A & F University, Xi'an. 18, 85, 92 (in Chinese with English Abstract) |
Li, N., Lin, H. X., Wang, T. X., et al., 2020. Impact of Climate Change on Cotton Growth and Yields in Xinjiang, China. Field Crops Research, 247: 107590. https://doi.org/10.1016/j.fcr.2019.107590 |
Li, Y., Li, N., Javed, T., et al., 2024. Cotton Yield Responses to Climate Change and Adaptability of Sowing Date Simulated by AquaCrop Model. Industrial Crops and Products, 212: 118319. https://doi.org/10.1016/j.indcrop.2024.118319 |
Li, Z. K., Liu, H., Zhao, W. Z., 2018. Revisiting Crop Water Production Functions in Terms of Cross-Regional Applications. Chinese Journal of Eco-Agriculture, 26(12): 1781–1794. https://doi.org/10.13930/j.cnki.cjea.180369 (in Chinese with English Abstract) |
Liang, Y. X., Gillett, N. P., Monahan, A. H., 2020. Climate Model Projections of 21st Century Global Warming Constrained Using the Observed Warming Trend. Geophysical Research Letters, 47(12): e2019GL086757. https://doi.org/10.1029/2019GL086757 |
Lin, S. D., Wang, Q. J., Deng, M. J., et al., 2024. Assessing the Influence of Water Fertilizer, and Climate Factors on Seed Cotton Yield under Mulched Drip Irrigation in Xinjiang Agricultural Regions. European Journal of Agronomy, 152: 127034. https://doi.org/10.1016/j.eja.2023.127034 |
Liu, S. B., Li, Y., He, C. S., 2013. Spectral Analysis and Estimations of Soil Salt and Organic Matter Contents. Soil Science, 178(3): 138–146. https://doi.org/10.1097/ss.0b013e318295ba8f |
Mai, J. F., Liu, G. L., 2023. Modeling and Predicting the Effects of Climate Change on Cotton-Suitable Habitats in the Central Asian Arid Zone. Industrial Crops and Products, 191: 115838. https://doi.org/10.1016/j.indcrop.2022.115838 |
Nasim, W., Ahmad, A., Belhouchette, H., et al., 2016. Evaluation of the OILCROP-SUN Model for Sunflower Hybrids under Different Agro-Meteorological Conditions of Punjab-Pakistan. Field Crops Research, 188: 17–30. https://doi.org/10.1016/j.fcr.2016.01.011 |
Osanai, Y., Tissue, D. T., Bange, M. P., et al., 2017. Interactive Effects of Elevated CO2, Temperature and Extreme Weather Events on Soil Nitrogen and Cotton Productivity Indicate Increased Variability of Cotton Production under Future Climate Regimes. Agriculture, Ecosystems & Environment, 246: 343–353. https://doi.org/10.1016/j.agee.2017.06.004 |
Qin, Y., Abatzoglou, J. T., Siebert, S., et al., 2020. Agricultural Risks from Changing Snowmelt. Nature Climate Change, 10(5): 459–465. https://doi.org/10.1038/s41558-020-0746-8 |
Shikha, A., Dimri, A. P., Singh, K. K., et al., 2022. Risk Assessment and Adaptation Strategies for Irrigated and Rainfed Cotton Crop Production under Climate Change. Journal of Earth System Science, 131(4): 267. https://doi.org/10.1007/s12040-022-01995-x |
Tian, X., Dong, J. Z., Jin, S. Y., et al., 2023. Climate Change Impacts on Regional Agricultural Irrigation Water Use in Semi-Arid Environments. Agricultural Water Management, 281: 108239. https://doi.org/10.1016/j.agwat.2023.108239 |
Tong, C. L., Zhang, W. J., Tang, Y., et al., 2005. Estimation of Daily Solar Radiation in China. Chinese Journal of Agrometeorology, (3): 165–169 (in Chinese with English Abstract) doi: 10.3969/j.issn.1000-6362.2005.03.006 |
ur Rahman, M. H., Ahmad, A., Wang, X. C., et al., 2018. Multi-Model Projections of Future Climate and Climate Change Impacts Uncertainty Assessment for Cotton Production in Pakistan. Agricultural and Forest Meteorology, 253: 94–113. https://doi.org/10.1016/j.agrformet.2018.02.008 |
Wang, X. J., 2015. Impact and Adaptation of Climate Change on Cotton Phenology, Yield and Fiber Quality in Xinjiang: [Dissertation]. China Agricultural University, Beijing. 79 (in Chinese with English Abstract) |
Wang, X. P., Xin, L., Du, J. T., et al., 2022. Simulation of Cotton Growth and Yield under Film Drip Irrigation Condition Based on DSSAT Model in Southern Xinjiang. Transactions of the Chinese Society for Agricultural Machinery, 53(9): 314–321. https://doi.org/10.6041/j.issn.1000-1298.2022.09.032 (in Chinese with English Abstract) |
Wu, H., Xu, M., Peng, Z. Y., et al., 2022. Quantifying the Potential Impacts of Meltwater on Cotton Yields in the Tarim River Basin, Central Asia. Agricultural Water Management, 269: 107639. https://doi.org/10.1016/j.agwat.2022.107639 |
Xu, Y., Li, X. F., Ge, Q. S., et al., 2022. Effect of Meteorological Drought on Cotton Yield in Central Asia. Acta Geographica Sinica, 77(9): 2338–2352. https://doi.org/10.11821/dlxb202209014 (in Chinese with English Abstract) |
Yang, P. N., Zia-Khan, S., Wei, G. H., et al., 2016. Winter Irrigation Effects in Cotton Fields in Arid Inland Irrigated Areas in the North of the Tarim Basin, China. Water, 8(2): 47. https://doi.org/10.3390/w8020047 |
Yue, S. R., Wang, L. C., Cao, Q., et al., 2024. Vegetation Dynamics and Potential Factors Driving Mechanisms in the Tarim River Basin. Earth Science, 49(9): 3399–3410. https://doi.org/10.3799/dqkx.2023.161 (in Chinese with English Abstract) |
Yue, S. R., Wang, L. C., Cao, Q., et al., 2025. Vegetation Changes in Tarim River Basin over Past 20 Years and Their Relationship with Climate Factors. Earth Science, 50(1): 33–45. https://doi.org/10.3799/dqkx.2024.047 (in Chinese with English Abstract) |
Yue, Y. M., Wang, L., Zhang, X. B., et al., 2024. Towards Achieving Carbon Neutrality: The Role of Vegetation Restoration in Karst Regions of Southwest China. Journal of Earth Science, 35(3): 1044–1048. https://doi.org/10.1007/s12583-024-2010-z |
Zhang, P., Li, Y., 2016. Study on the Comparisons of the Establishment of Two Mathematical Modeling Methods for Soil Organic Matter Content Based on Spectral Reflectance. Guang Pu, 36(3): 903–910 |
Zhao, A. Q., 2019. Mulched Drip Irrigation Cotton Yield Potential Estimation Based on Large-Scale Water-Nitrogen Coupling Model in Xinjiang, China with Limits of Water Resources. Transactions of the Chinese Society of Agricultural Engineering, 35(5): 111–118. https://doi.org/10.11975/j.issn.1002-6819.2019.05.013 |
Zhao, X. N., Othmanli, H., Schiller, T., et al., 2015. Water Use Efficiency in Saline Soils under Cotton Cultivation in the Tarim River Basin. Water, 7(6): 3103–3122. https://doi.org/10.3390/w7063103 |
Zhou, T. J., Chen, Z. M., Chen, X. L., et al., 2021. Interpreting IPCC AR6: future global climate based on projection under scenarios and on near-term information. Climate Change Research, 17(6), 652–663. https://doi.org/10.12006/j.issn.1673-1719.2021.239 (in Chinese with English Abstract) |
Zhu, S. F., Wang, W. G., Ding, Y. M., et al., 2023. Spatiotemporal Variation of Future Heat Damage of Rice in the Middle and Lower Reaches of the Yangtze River Using CMIP6 Projections. Transactions of the Chinese Society of Agricultural Engineering, 39(3): 113–122. https://doi.org/10.11975/j.issn.1002-6819.202210077 (in Chinese with English Abstract) |