Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
Impact of global climate change induced variations in reservoir-river systems on fish habitats
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 27 February 2026

Impact of global climate change induced variations in reservoir-river systems on fish habitats

  • Gaolei Zhao1,
  • Shimin Tian1,
  • Fangxiu Zhang1,
  • Yawei Hu1,
  • Rongxu Chen1,
  • Bochao Huang1,2 &
  • …
  • Jiahui Duan1 

Scientific Reports , Article number:  (2026) Cite this article

  • 1102 Accesses

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Ecology
  • Environmental sciences
  • Hydrology

Abstract

Global climate change (GCC) and reservoir operations impact basin-scale hydrological conditions, altering river-scale hydrodynamics and aquatic habitats. This study designed a numerical evaluation methodology framework that integrates GCC, downscaling, hydrological, hydrodynamic, water temperature (WT), and habitat suitability models across global, basin, river, and habitat to predict the impacts of GCC on the hydrology and aquatic ecological environment of the reservoir-river system (RRS). The framework was applied to the Xiaolangdi Reservoir (XLDR) and its downstream river reach. In the study area, runoff, water level, WT, and weighted usable area (WUA) were predicted for the baseline and four scenarios, and the impact of GCC on the inflow, WT, and WUA of the RRS was evaluated. The results proved that the Soil and Water Assessment Tool (SWAT) model, the statistical downscaling model (SDSM), three-dimensional (3D) and two-dimensional (2D) hydrodynamic, and WT models met requirements. Runoff remained sufficient to meet system demands under the four GCC scenarios. WT surface, middle, and bottom in the XLDR showed increasing trends. Compared to the baseline scenario, the decrease in WUA for the spawning and juvenile Yellow River carp (Cyprinus carpio haematopterus) (YRC) was mainly influenced by hydrodynamic conditions and rising WT changes. The impacts of GCC were likely to exacerbate the adverse effects of reservoir regulation on YRC’s breeding season.

Data availability

All data generated or analysed during this study are included in this published article [and its supplementary information files].

References

  1. Touitou, M., Laib, Y. & Boudeghdegh, A. Management of water resources sector to face climatic shocks in Algieria: A dynamic CGE model analysis. Environ. Socio-Econ. Stud. 8(1), 48–55 (2020).

    Google Scholar 

  2. Ahmed, M. Introduction to modern climate change. Sci. Total Environ. 734, 139397 (2020).

    Google Scholar 

  3. IPCC. 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, 2021).

    Google Scholar 

  4. Somarin, A. R. et al. Stock reallocation policy for repairable service parts in case of supply disruptions due to extreme weather events. Int. J. Prod. Econ. https://doi.org/10.1016/j.ijpe.2022.108743 (2023).

    Google Scholar 

  5. IPCC. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernment Panel on Climate Change (Cambridge University Press, 2007).

    Google Scholar 

  6. Jin, H. Y. et al. Construction of precipitation index based on ensemble forecast and heavy precipitation forecast in the Hanjiang River Basin, China. Atmos. Res. 287, 106701 (2023).

    Google Scholar 

  7. Jung, C. & Schindler, D. Changing wind speed distributions under future global climate. Energy Convers. Manag. 198, 111841 (2019).

    Google Scholar 

  8. Li, T. L. & Xu, W. J. Research progress and prospects for the evolution process and treatment technology of urban black and smelly water. Meteorol. Environ. Res. 14(1), 68–69, 75 (2023).

  9. Xie, X. et al. Cloud model combined with multiple weighting methods to evaluate hydrological alteration and its contributing factors. J. Hydrol. 610, 127794 (2022).

    Google Scholar 

  10. Requena-Mullor, J. M. et al. Tradeoffs in forest resilience to satellite-based estimates of water and productivity losses. Remote Sens. Environ. 285, 113414 (2023).

    Google Scholar 

  11. Woolway, R. I., Sharma, S. & Smol, J. P. Lakes in hot water: The impacts of a changing climate on aquatic ecosystems. Bioscience 72(1), 1050–1061 (2022).

    Google Scholar 

  12. Pokhrel, Y. et al. Global terrestrial water storage and drought severity under climate change. Nat. Clim. Chang. https://doi.org/10.1038/s41558-020-00972-w (2021).

    Google Scholar 

  13. Brosse, M. et al. The importance of indirect effects of climate change adaptations on alpine and pre-alpine freshwater systems. Ecol. Solut. Evidence 3(1), e12127 (2022).

    Google Scholar 

  14. Guo, L. A. et al. An integrated dataset of daily lake surface water temperature over the Tibetan Plateau. Earth Syst. Sci. Data. 14(7), 3411–3422 (2022).

    Google Scholar 

  15. Guo, Y. X. et al. A comparative assessment of CMIP5 and CMIP6 in hydrological responses of the Yellow River Basin, China. Hydrol. Res. 53(6), 867–891 (2022).

    Google Scholar 

  16. Anderson, E. J. et al. Seasonal overturn and stratification changes drive deep-water warming in one of Earth’s largest lakes. Nat. Commun. 12(1), 1688 (2021).

    Google Scholar 

  17. Paerl, H. W. & Otten, T. G. Harmful cyanobacterial blooms: Causes, consequences, and controls. Microb. Ecol. 65(4), 995–1010 (2013).

    Google Scholar 

  18. Morales-Marin, L. A. et al. Changes in streamflow and water temperature affect fish habitat in the Athabasca River basin in the context of climate change. Ecol. Modell. 407, 108718 (2019).

    Google Scholar 

  19. Friedland, K. et al. Thermal habitat constraints on zooplankton species associated with Atlantic cod (Gadus morhua) on the US Northeast Continental Shelf. Prog. Oceanogr. 116, 1–13 (2013).

    Google Scholar 

  20. Barbarossa, V. et al. Threats of global warming to the world’s freshwater fishes. Nat. Commun. 12(1), 1–10 (2021).

    Google Scholar 

  21. Zhao, G. L. et al. Applying a coupled model framework to assess global climate change impacts on the river-type harmful algal blooms in the middle and lower reaches of the Hanjiang River, China. Ecol. Indic. 169, 112834 (2024).

    Google Scholar 

  22. Zhao, G. L. et al. Effect of global climate change on the sustainability of cold-water fish habitat in the alpine region: A case study on the Gymnocypris eckloni in the source region of the Yellow River. J. Environ. Manage. 367, 121926 (2024).

    Google Scholar 

  23. Tapiador, F. J., Moreno, R. & Navarro, A. Consensus in climate classifications for present climate and global warming scenarios. Atmos. Res. 216, 26–36 (2018).

    Google Scholar 

  24. Hernanz, A. et al. Comparison of machine learning statistical downscaling and regional climate models for temperature, precipitation, wind speed, humidity and radiation over Europe under present conditions. Int. J. Climatol. 43(13), 6065–6082 (2023).

    Google Scholar 

  25. Addab, H. & Bailey, R. T. Simulating the effect of subsurface tile drainage on watershed salinity using SWAT. Agric. Water Manag. 262(31), 107431 (2022).

    Google Scholar 

  26. Hou, J. M. et al. Numerical simulation for runoff regulation in rain garden using 2D hydrodynamic model. Ecol. Eng. 153, 105794 (2020).

    Google Scholar 

  27. Ntona, M. M. et al. Modeling groundwater and surface water interaction: An overview of current status and future challenges. Sci. Total Environ. 846, 157355 (2022).

    Google Scholar 

  28. Yi, Y. J., Wang, Z. Y. & Yang, Z. F. Two-dimensional habitat modeling of Chinese sturgeon spawning sites. Ecol. Model. 221(5), 864–875 (2010).

    Google Scholar 

  29. Kim, S. et al. Impact assessment of water-level management on water quality in an estuary reservoir using a watershed-reservoir linkage model. Agric. Water Manag. 280, 108234 (2023).

    Google Scholar 

  30. Song, J. et al. Spatial and temporal variations in the plankton community because of water and sediment regulation in the lower reaches of Yellow River. J. Clean. Prod. 261, 120972 (2020).

    Google Scholar 

  31. Bao, H. X. et al. Effect of dam construction on spawning activity of Yellow River carp (Cyprinus carpio) in the lower Yellow River. Front. Earth Sci. 10, 975433 (2022).

    Google Scholar 

  32. Luo, Y. Q. et al. Potential benefits to the endemic fish habitat in the highland deeply incised high-energy river responding to hydropower development. J. Environ. Manage. 376, 124498 (2025).

    Google Scholar 

  33. Shen, Y. et al. Equilibrium tendency of river channel adjustment in response to upstream damming: A case study of the Lower Yellow River. J. Hydrol. 650, 132494 (2025).

    Google Scholar 

  34. Zhao, G. L. et al. Spatiotemporal variations in runoff and sediment load of the mainstem and major tributaries of the Yellow River Basin from the headwater to the estuary (1960–2023). J. Environ. Manage. 380, 124723 (2025).

    Google Scholar 

  35. Krzto, W., Walusiak, E. & Wilk-Wozniak, E. Possible consequences of climate change on global water resources stored in dam reservoirs. Sci. Total Environ. 830, 154646 (2022).

    Google Scholar 

  36. Ren, L. et al. Reservoir effects on the variations of the water temperature in the upper Yellow River, China, using principal component analysis. J. Environ. Manage. 262, 110339 (2020).

    Google Scholar 

  37. Zhao, G. L. et al. Quantitative assessment methodology framework of the impact of global climate change on the aquatic habitat of warm-water fish species in rivers. Sci. Total Environ. 875, 162686 (2023).

    Google Scholar 

  38. Zhao, Y. H. et al. Species diversity and conservation of freshwater fishes in the Yellow River basin. Biodivers. Sci. 28(12), 1496–1510 (2020).

    Google Scholar 

  39. He, W. et al. Impact of intra-annual runoff uniformity and global warming on the thermal regime of a large reservoir. Sci. Total Environ. 658, 1085–1097 (2019).

    Google Scholar 

  40. He, Y. et al. Impacts of different weather conditions and landuse change on runoff variations in the Beiluo River Watershed, China. Sustain. Cities Soc. 50, 101674 (2019).

    Google Scholar 

  41. Lázaro, J. M. et al. Impact of emergency drawdown in off-stream brackish reservoirs - The case of La Loteta dam in Spain. J. Hydrol. 611, 128025 (2022).

    Google Scholar 

  42. Wang, R. L. et al. Study of ecological flow based on the relationship between cyprinusy carpio habitat hydrological and ecological response in the lower Yellow River. J. Hydraul. Eng. 51(09), 1175–1187 (2020) (in Chinese).

    Google Scholar 

  43. Al Aamery, N., Fox, J. F. & Mahoney, T. Variance decomposition of forecasted sediment transport in a lowland watershed using global climate model ensembles. J. Hydrol. 602(2–4), 126760 (2021).

    Google Scholar 

  44. Shrestha, S. et al. Integrated assessment of the landuse change and climate change impacts on the sediment yield in the Songkhram River Basin, Thailand. Catena (Giessen). 209, 105859 (2022).

    Google Scholar 

  45. Meher, J. K. & Das, L. Is the Western Himalayan region vulnerable with respect to downscaled precipitation?. Theor. Appl. Climatol. 149(1–2), 233–252 (2022).

    Google Scholar 

  46. Mahmood, R., Jia, S. F. & Ai, Z. P. Projected intensified hydrological processes in the Three-River Headwater Region, Qinghai Tibetan Plateau. Water Resour. Res. 60(5), e2023WR036072 (2024).

    Google Scholar 

  47. Mahmood, R. et al. An integrative analysis of hydroclimatic elements in the three-river source region for historical and future periods: Shift toward an intensified hydrological cycle. Int. Soil Water Conserv. Res. 13, 43–66 (2025).

    Google Scholar 

  48. Chen, S. Z. et al. Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes. J. Hydrol. 616, 128817 (2022).

    Google Scholar 

  49. Rajib, A. et al. Cyber-enabled autocalibration of hydrologic models to support open science. Environ. Model. Softw. 158, 105561 (2022).

    Google Scholar 

  50. Wang, W. G. Study on farmland nutrient load control and crop yield simulation in Hetao Irrigation District (Inner Mongolia Agricultural University, 2022). (in Chinese).

  51. Zhao, G. L., Tian, S. M. & Han, B. Quantitative assessment sustainability of the river-irrigation district-lake system under global climate change. Ecol. Indic. 177, 113802 (2025).

    Google Scholar 

  52. Zhu, X. P. et al. Response of runoff and nitrogen loadings to climate and land use changes in the middle Fenhe River basin in Northern China. J. Water Clim. Chang. 13(7), 2817–2836 (2022).

    Google Scholar 

  53. McCarth, O. S. et al. Identifying the drivers of structural complexity on Hawaiian coral reefs. Mar. Ecol. Prog. Ser. 702, 71–86 (2022).

    Google Scholar 

  54. Zhou, X. D. et al. Responses of macroinvertebrate assemblages to flow in the Qinghai-Tibet Plateau: Establishment and application of a multi-metric habitat suitability model. Water Resour. Res. 58(5), e2021WR030909 (2022).

    Google Scholar 

  55. Sucanthi, L., Iniyan, S. & Samuela, A. Applications of fuzzy logic in renewable energy systems - A review. Renew. Sustain. Energy Rev. 48, 585–607 (2015).

    Google Scholar 

  56. Chen, L. L. & Jin, L. H. An improved fuzzy comprehensive evaluation method of eutrophication for lakes and reservoirs. China Environ. Sci. 34(12), 3223–3229 (2014).

    Google Scholar 

  57. Pislaru, M., Herghiligiu, I. V. & Robu, I. B. Corporate sustainable performance assessment based on fuzzy logic. J. Clean. Prod. 223, 998–1013 (2019).

    Google Scholar 

  58. Bao, H. X. Research on the Impact of Water Conservancy Project Construction in the Lower Reaches of the Yellow River on the Habitat of the Yellow River Carp (North China Electric Power University, 2023). (in Chinese).

  59. Liu, L. C. Analysis of fish habitat restoration potential in the middle and lower reaches of the Yellow River based on longitudinal hydrological connectivity (Yantai University, 2023). (in Chinese).

  60. Ruan, Q. Y. Influence of Xiaolangdi Dam on the Reproduction of Yellow River Carp and Multiobjective Optimal Operation of Reservoir (North China Electric Power University, 2023). (in Chinese).

  61. Zhang, S. H. et al. Study on the ecological flow of Yellow River carp in Huayuankou river reach under the regulation of Xiaolangdi Reservoir. Water Resour. Hydropower Eng. 55(4), 151–162 (2024).

    Google Scholar 

  62. Zhang, P. et al. Using a hierarchical model framework to assess climate change and hydropower operation impacts on the habitat of an imperiled fish in the Jinsha River, China. Sci. Total Environ. https://doi.org/10.1016/j.scitotenv.2018.07.318 (2019).

    Google Scholar 

  63. Moriasi, D. N. et al. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. Asabe. 50(3), 885–900 (2007).

    Google Scholar 

  64. Wang, H. et al. Impact of LUCC on streamflow based on the SWAT model over the Wei River basin on the Loess Plateau in China. Hydrol. Earth Syst. Sci. 21(4), 1929–1945 (2017).

    Google Scholar 

  65. Xu, Z., Zhabg, S. H. & Yabg, X. Y. Water and sediment yield response to extreme rainfall events in a complex large river basin: A case study of the Yellow River Basin, China. J. Hydrol. 597, 126183 (2021).

    Google Scholar 

  66. Ji, G. X. Geographical Calculation of Runoff Change and Drought and Flood Disasters Dynamics in the Yellow River Basin under Future Climate Change (East China Normal University, 2020). (in Chinese).

  67. Guan, X. X. et al. Past variations and future projection of runoff in typical basins in 10 water zones, China. Sci. Total Environ. 798, 149277 (2021).

    Google Scholar 

  68. Wang, L. Attribution and Future Projection of Runoff Change at Multi-Spatiotemporal Scales in the Yellow River Basin (Northwest A&F University, 2024). (in Chinese).

  69. Kraemer, B. M. et al. Morphometry and average temperature affect lake stratification responses to climate change. Geophys. Res. Lett. 42(12), 4981–4988 (2015).

    Google Scholar 

  70. Winslow, L. A. et al. Small lakes show muted climate change signal in deepwater temperatures. Geophys. Res. Lett. 42(2), 355–361 (2015).

    Google Scholar 

  71. Yajima, H. & Choi, J. K. Changes in phytoplankton biomass due to diversion of an inflow into the Urayama Reservoir. Ecol. Eng. 58, 180–191 (2013).

    Google Scholar 

  72. Servain, J. et al. Recent climatic trends in the tropical Atlantic. Clim. Dyn. 43(11), 3071–3089 (2014).

    Google Scholar 

  73. Tsai, C. Y., Forest, C. E. & Wagener, T. Estimating the regional climate responses over river basins to changes in tropical sea surface temperature patterns. Clim. Dyn. 45(7–8), 1965–1982 (2015).

    Google Scholar 

  74. Magee, M. R. & Wu, C. H. Response of water temperatures and stratification to changing climate in three lakes with different morphometry. Hydrol. Earth Syst. Sci. 21(12), 6253–6274 (2017).

    Google Scholar 

  75. Li, Y. et al. Effects of reservoir operation and climate change on thermal stratification of a canyon-shaped reservoir, in northwest China. Water Sci. Technol. Water Supply. 18(2), 418–429 (2018).

    Google Scholar 

  76. Cheng, Y. F. et al. Reservoirs modify river thermal regime sensitivity to climate change: A case study in the Southeastern United States. Water Resour. Res. 56(6), e2019WR025784 (2020).

    Google Scholar 

  77. Yang, Y. J. et al. Impact of climate change on thermal and mixing regimes in a deep dimictic reservoir on the Qinghai-Tibetan Plateau, China. J. Hydrol. 603, 127141 (2021).

    Google Scholar 

  78. Wang, S. Influence of climate change and reservoir operation on thermal stratification structure of Shanmei Reservoir at different time scales. (in Chinese). (Fujian Normal University, 2022).

  79. Xiao, Z. J. et al. Multi-timescale changes of water temperature due to the Three Gorges Reservoir and climate change in the Yangtze River, China. Ecol. Indic. 148, 110129 (2023).

    Google Scholar 

  80. Woolway, R. I. et al. Lake heatwaves under climate change. Nature 589(7842), 402–407 (2021).

    Google Scholar 

  81. Chen, P., Li, L. & Zhang, H. B. Spatio-temporal variability in the thermal regimes of the Danjiangkou reservoir and its downstream river due to the large water diversion project system in central China. Hydrol. Res. 47(1), 104–127 (2016).

    Google Scholar 

  82. Yao, W. W., Rutschmann, P. & Sudeep. Three high flow experiment releases from Glen Canyon Dam on rainbow trout and flannelmouth sucker habitat in Colorado River. Ecol. Eng. 75, 278–290 (2015).

  83. Kedra, M. & Wiejaczka, L. Climatic and dam-induced impacts on river water temperature: Assessment and management implications. Sci. Total Environ. 626, 1474–1483 (2018).

    Google Scholar 

  84. Zhang, X. B. et al. Effect of water temperature on the life activities of temperate freshwater fish. J. Hydroecol. 42(04), 117–122 (2021) (in Chinese).

    Google Scholar 

  85. Chandesris, A. et al. Small dams alter thermal regimes of downstream water. Hydrol. Earth Syst. Sci. 23(11), 4509–4525 (2019).

    Google Scholar 

  86. Kang, H., Hur, J. W. & Park, D. The effects of cold water released from dams on Zacco platypus gonad maturation in the Nakdong River, South Korea. Ksce J. Civ. Eng. 21(4), 1473–83 (2017).

    Google Scholar 

  87. Souchon, Y. & Tissot, L. Synthesis of thermal tolerances of the common freshwater fish species in large Western Europe rivers. Knowl. Manag. Aquat. Ecosyst. 405, 48 (2012).

    Google Scholar 

  88. Zhang, H. et al. Increasing river temperature shifts impact the Yangtze ecosystem: Evidence from the Endangered Chinese Sturgeon. Animals 9(8), 16 (2019).

    Google Scholar 

  89. Ciais, P. et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 437(7058), 529–533 (2005).

    Google Scholar 

  90. Best, J. Author correction: Anthropogenic stresses on the world’s big rivers. Nat. Geosci. 12, 148 (2019).

    Google Scholar 

  91. Zhao, X. et al. Key uncertainty sources analysis of water quality model using the first order error method. Int. J. Environ. Sci. Technol. 8(1), 137–148 (2011).

    Google Scholar 

  92. Thompson, J. R. et al. Impacts of climate change on environmental flows in West Africa’s Upper Niger Basin and the Inner Niger Delta. Hydrol. Res. 52(4), 958–974 (2021).

    Google Scholar 

  93. Zhang, R. L. et al. Effect of GCM credibility on water resource system robustness under climate change based on decision scaling. Adv. Water Resour. 158, 104063 (2021).

    Google Scholar 

  94. Chen, J., Brissette, F. P. & Robert, L. Assessing regression-based statistical approaches for downscaling precipitation over North America. Hydrol. Process. 28(9), 3482–3504 (2014).

    Google Scholar 

  95. Ibebuchi, C. C. Circulation type analysis of regional hydrology: The added value in using CMIP6 over CMIP5 simulations as exemplified from the MPI-ESM-LR Model. J. Water Clim. Chang. 13(2), 1046–1055 (2021).

    Google Scholar 

  96. Wang, H. M. et al. A framework to quantify the uncertainty contribution of GCMs over multiple sources in hydrological impacts of climate change. Earth’s Future https://doi.org/10.1029/2020EF001602 (2020).

    Google Scholar 

  97. Wu, W. Y. et al. Divergent effects of climate change on future groundwater availability in key mid-latitude aquifers. Nat. Commun. 11(1), 3710 (2020).

    Google Scholar 

  98. Zhang, J., Ma, J. F. & Ma, M. Research progress on uncertainty of watershed hydrological model. Yellow River 44(07), 30–36 (2022) (in Chinese).

    Google Scholar 

  99. Coe, M. T. & Foley, J. A. Human and natural impacts on the water resources of the Lake Chad basin. J. Geophys. Res. Atmos. 106(D4), 3349–3356 (2001).

    Google Scholar 

Download references

Funding

The work is supported by the Key Project of National Natural Science Foundation of China (2024YFC3210903), the Natural Science Foundation of Henan (252300421013), the National Natural Science Foundation of China (52309092), the Basic R&D Specical Fund of Central Government for Non-profit Research Institutes (HKY-JBYW-2024-08), the Science and Technology Development Fund of the Yellow River Institute of Hydraulic Research (202415), the Natural Science Foundation of Henan (252300420479).

Author information

Authors and Affiliations

  1. Henan Key Laboratory of YB Ecological Protection and Restoration, Key Laboratory of Yellow River, MWR, Yellow River Institute of Hydraulic Research, YRCC, Zhengzhou, 450003, China

    Gaolei Zhao, Shimin Tian, Fangxiu Zhang, Yawei Hu, Rongxu Chen, Bochao Huang & Jiahui Duan

  2. North China University of Water Resources and Electric Power, Zhengzhou, 450046, China

    Bochao Huang

Authors
  1. Gaolei Zhao
    View author publications

    Search author on:PubMed Google Scholar

  2. Shimin Tian
    View author publications

    Search author on:PubMed Google Scholar

  3. Fangxiu Zhang
    View author publications

    Search author on:PubMed Google Scholar

  4. Yawei Hu
    View author publications

    Search author on:PubMed Google Scholar

  5. Rongxu Chen
    View author publications

    Search author on:PubMed Google Scholar

  6. Bochao Huang
    View author publications

    Search author on:PubMed Google Scholar

  7. Jiahui Duan
    View author publications

    Search author on:PubMed Google Scholar

Contributions

Gaolei Zhao: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Visualization, Writing – original draft.Shimin Tian: Funding acquisition, Resources, Writing – review & editing.Fangxiu Zhang: Resources.Yawei Hu: Writing – review & editing.Rongxu Chen: Visualization.Bochao Huang: Software.Jiahua Duan: Supervision.

Corresponding author

Correspondence to Shimin Tian.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, G., Tian, S., Zhang, F. et al. Impact of global climate change induced variations in reservoir-river systems on fish habitats. Sci Rep (2026). https://doi.org/10.1038/s41598-026-41555-7

Download citation

  • Received: 23 December 2025

  • Accepted: 20 February 2026

  • Published: 27 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-41555-7

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Reservoir-river system
  • Global climate change
  • Fish habitat
  • Multi-model coupling
  • Weighted usable area
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Anthropocene