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Vegetation carbon use efficiency response to drought in the Manas River Basin of Xinjiang


Abstract

Carbon Use Efficiency (CUE), quantified as the ratio of net primary production to gross primary production (NPP/GPP), serves as a crucial indicator of ecosystem carbon sequestration capacity. However, understanding of its spatiotemporal dynamics and drought response mechanisms in arid inland basins remains limited. This study investigates the CUE characteristics in the Manas River Basin, a representative arid endorheic basin in Xinjiang, China, using MODIS satellite data (2001-2020). Results demonstrate that the multi-year mean CUE of the basin was 0.50 (±0.12), with coniferous forests exhibiting the highest values and croplands the lowest. Seasonal analysis revealed CUE in spring and autumn significantly exceeded that in winter (p<0.01). Spatially, 57.99% of the basin displayed low CUE fluctuation, primarily distributed in grassland and woodland areas. Future trend projections indicate divergent persistence patterns between plain and desert grasslands. Drought response analysis identified a dominant 3-month lag effect, with forests showing greater drought resistance and longer response lags compared to croplands (1.2 months longer, p=0.03). The ecosystem maintains high resilience, regulated by the interactive effects of vegetation type, irrigation practices, and climate gradients. These findings establish a mechanistic framework for understanding carbon cycling processes in arid lands under climate stress, providing scientific basis for global dryland ecosystem management.

Data availability

Remote sensing datasets generated and/or analysed during this study are available at https://www.resdc.cn, https://ladsweb.modaps.eosdis.nasa.gov and https://earthengine.google.com/ in the repository. The Xinjiang forest survey data underpinning this study’s findings are obtainable from the Forestry Department. However, restrictions apply to the availability of these data, which were utilised under licence for the present study and are therefore not publicly accessible. They may be obtained from the corresponding author upon reasonable request.

References

  1. Manzoni, S. et al. Environmental and stoichiometric controls on microbial carbon-use efficiency in soils. New Phytol. 196(1), 79–91 (2012).

    Google Scholar 

  2. Ye, X. C. et al. Spatio-temporal variations of vegetation carbon use efficiency and potential driving meteorological factors in the Yangtze River Basin. J. Mt. Sci. 17(8), 1959–1973 (2020).

    Google Scholar 

  3. Bertolino, L. T., Caine, R. S. & Gray, J. E. Impact of stomatal density and morphology on water-use efficiency in a changing world. Front. Plant Sci. 10, 225 (2019).

    Google Scholar 

  4. Geyer, M. et al. Microbial carbon use efficiency: Accounting for population, community, and ecosystem-scale controls over the fate of metabolized organic matter. Biogeochemistry 127(2), 173–188 (2016).

    Google Scholar 

  5. Zeng, Y. F. et al. Study on the relationship between ecological spatial network structure and regional carbon use efficiency: A case study of the Wuding River Basin. Ecol. Indic. 155, 110909 (2023).

    Google Scholar 

  6. Chakraborty, A., Sekhar, M. & Rao, L. The fate of vegetation carbon stocks of India: Insights from a remote-sensed evaluation of carbon use efficiency. Ecol. Inform. 78, 102374 (2023).

    Google Scholar 

  7. Chuai, X. W. et al. Vegetation and climate zones based carbon use efficiency variation and the main determinants analysis in China. Ecol. Indic. 111, 105967 (2020).

    Google Scholar 

  8. Chen, J. & Cao, L. G. Spatiotemporal variability in water-use efficiency in Tianshan Mountains (Xinjiang, China) and the influencing factors. Sustainability 14(13), 8191 (2022).

    Google Scholar 

  9. Yang, Z. Y. et al. Spatio-Temporal dynamic characteristics of carbon use efficiency in a virgin forest area of Southeast Tibet. Remote Sens. 15(9), 2382 (2023).

    Google Scholar 

  10. Zhang, Q. A. & Chen, W. Ecosystem water use efficiency in the Three-North Region of China based on long-term satellite data. Sustainability 13(14), 7977 (2021).

    Google Scholar 

  11. Zhang, H. W. et al. Spatiotemporal characteristic and forecast of drought in northern Xinjiang. China. Ecol. Indic. 127, 107712 (2021).

    Google Scholar 

  12. Shen, C. H. Analysis of detrended time-lagged cross-correlation between two nonstationary time series. Phys. Lett. A 379(7), 680–687 (2015).

    Google Scholar 

  13. Liu, H. A. M. et al. Determining variable weights for an optimal scaled drought condition index (OSDCI): Evaluation in Central Asia. Remote Sens. Environ. 231, 111220 (2019).

    Google Scholar 

  14. Yu, H. Q. et al. Modified palmer drought severity index: Model improvement and application. Environ. Int. 130, 104951 (2019).

    Google Scholar 

  15. Li, C. et al. Spatial and temporal variations of drought in Sichuan Province from 2001 to 2020 based on modified temperature vegetation dryness index (TVDI). Ecol. Indic. 139, 108883 (2022).

    Google Scholar 

  16. Kamruzzaman, M. et al. Spatiotemporal drought analysis in Bangladesh using the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI). Sci. Rep. 12(1), 20694 (2022).

    Google Scholar 

  17. Azizi, H. & Nejatian, N. Evaluation of the climate change impact on the intensity and return period for drought indices of SPI and SPEI (study area: Varamin plain). Water Suppl. 22(4), 4373–4386 (2022).

    Google Scholar 

  18. Chen, J. K. et al. Response of carbon-and water-use efficiency to climate change and human activities in China. Ecol. Indic. 160, 111829 (2024).

    Google Scholar 

  19. Li, L. C. et al. Elucidating diverse drought characteristics from two meteorological drought indices (SPI and SPEI) in China. J. Hydrometeorol. 21(7), 1513–1530 (2020).

    Google Scholar 

  20. Guo, D. et al. Study on regional applicability of four meteorological drought indices in Xinjiang. Desert Oasis Meteorol. 16(3), 90–101 (2022).

    Google Scholar 

  21. Liu, Y. et al. Concurrent and lagged effects of drought on grassland net primary productivity: A case study in Xinjiang China. Front. Ecol. Evol. 11, 1131175 (2023).

    Google Scholar 

  22. Gentine, P. et al. Coupling between the terrestrial carbon and water cycles-a review. Environ. Res. Lett. 14(8), 083003 (2019).

    Google Scholar 

  23. Tirivarombo, S., Osupile, D. & Eliasson, P. Drought monitoring and analysis: Standardised precipitation evapotranspiration index (SPEI) and standardised precipitation index (SPI). Phys. Chem. Earth Part. A/B/C 106, 1–10 (2018).

    Google Scholar 

  24. Gao, X. R. et al. Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050. Sci. Total Environ. 595, 191–200 (2017).

    Google Scholar 

  25. Campioli, M. et al. Biomass production efficiency controlled by management in temperate and boreal ecosystems. Nat. Geosci. 8(11), 843–846 (2015).

    Google Scholar 

  26. Huang, M. T. et al. Change in terrestrial ecosystem water-use efficiency over the last three decades. Glob. Chang. Biol. 21(6), 2366–2378 (2015).

    Google Scholar 

  27. Mathias, J. M. & Thomas, R. B. Global tree intrinsic water use efficiency is enhanced by increased atmospheric CO2 and modulated by climate and plant functional types. P. Natl. Acad. Sci. USA 118(7), e2014286118 (2021).

    Google Scholar 

  28. Lavergne, A. et al. Observed and modelled historical trends in the water-use efficiency of plants and ecosystems. Glob. Chang. Biol. 25(7), 2242–2257 (2019).

    Google Scholar 

  29. Xu, B. et al. GABA signalling modulates stomatal opening to enhance plant water use efficiency and drought resilience. Nat. Commun. 12(1), 1952 (2021).

    Google Scholar 

  30. Wu, Y. J. et al. Assessment of the spatiotemporal characteristics of vegetation water use efficiency in response to drought in Inner Mongolia. China. Environ. Sci. Pollut. R. 30(3), 6345–6357 (2023).

    Google Scholar 

  31. Cheng, G. E. et al. Responses to the impact of drought on carbon and water use efficiency in Inner Mongolia. Land 12(3), 583 (2023).

    Google Scholar 

  32. Yin, C. H. Spatial and temporal variation of vegetation water-use efficiency in the Mongolian Plateau and its influencing factors (Inner Mongolia Normal University, 2023)

  33. Liu, Q. et al. Monitoring drought using composite drought indices based on remote sensing. Sci. Total Environ. 711, 134585 (2020).

    Google Scholar 

  34. Wang, W. Y. et al. Spatial and temporal drought characteristics in the Huanghuaihai Plain and its influence on cropland water use efficiency. Remote Sens. 14(10), 2381 (2022).

    Google Scholar 

  35. Wang, M. et al. Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China. Sci. Total Environ. 760, 143427 (2021).

    Google Scholar 

  36. Guerrieri, R. et al. Evapotranspiration and water use efficiency in relation to climate and canopy nitrogen in U.S. forests. J. Geophys. Res. (G Biogeosci.) 121(10), 2610–2629 (2016).

    Google Scholar 

  37. Qin, J. L. & Xue, L. Q. Spatial and temporal characteristics of vegetation and its spatial relationship with topographic factors in the Manas River Basin, Northwest Arid Zone. J. Ecol. Environ. Sci. 29(11), 2179–2188 (2020).

    Google Scholar 

  38. L, et al. Study on variations in climatic variables and their influence on runoff in the Manas River Basin China. Water 9(4), 258 (2017).

    Google Scholar 

  39. Li, L. H. & Simonovic, S. P. System dynamics model for predicting floods from snowmelt in North American prairie watersheds. Hydrol. Process. 16(13), 2645–2666 (2002).

    Google Scholar 

  40. Wu, Y. G. et al. Spatiotemporal variation in groundwater level within the Manas River Basin, Northwest China: Relative impacts of natural and human factors. Open Geosci. 13(1), 626–638 (2021).

    Google Scholar 

  41. Wei, H. et al. Spatial and temporal variations of NDVI and its response to meteorological factors in the Manas River Basin. Soil Water Conserv. Res. 26(1), 215–220 (2019).

    Google Scholar 

  42. Liu, R. R. et al. Study on the relationship among the urbanization process, ecosystem services and human well-being in an arid region in the context of carbon flow: Taking the Manas River Basin as an example. Ecol. Indic. 132, 108248 (2021).

    Google Scholar 

  43. H, B. et al. Trend analysis of climate change in the Manas River basin, Xinjiang, 1956-2007. J. Glaciol. Geocryol. 33(1), 64–71 (2011).

    Google Scholar 

  44. He, Y. et al. Spatial and temporal variations of NPP and its importance for biodiversity conservation in the Manas River Basin. Acta. Ecol. Sinica. 43(11), 4664–4673 (2023).

    Google Scholar 

  45. Zhao, A. Z. et al. Evaluating the cumulative and time-lag effects of drought on grassland vegetation: A case study in the Chinese Loess Plateau. J. Environ. Manag. 261, 110214 (2020).

    Google Scholar 

  46. Zhan, C. et al. Drought-related cumulative and time-lag effects on vegetation dynamics across the Yellow River Basin. China. Ecol. Indic. 143, 109409 (2022).

    Google Scholar 

  47. Gang, C. C. et al. Drought-induced carbon and water use efficiency responses in dryland vegetation of northern China. Front. Plant Sci. 10, 224 (2019).

    Google Scholar 

  48. Chen, F. L. et al. Study on hydrological drought index based on GAMLSS: Taking Manas River Basin as an example. Geogr. Res. 40(9), 2670–2683 (2021).

    Google Scholar 

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Funding

This work was supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region (2023D01A49); the National Natural Science Foundation of China (42261013).

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Authors

Contributions

Conceptualisation, J. K. and M. Z.; methodology,J. K. and S. Y.; software, J. K. and J. Z.; validation, J. K. and Z. C.; formal analysis, M. Z. and L. Z.; investigation, M. Z. and S. Y.; resources, Z. C. and M Z.; data curation, M Z. and J K.; writing—original draft preparation, C. Z. and M. Z.; writing—review and editing, M. Z. and C. Z.; visualisation, J. K., and Z. C.; supervision, M. Z.; project administration, M. Z. and J. Z.; funding acquisition, M. Z. All authors have read and agreed to the published version of the manuscript.

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Correspondence to
Mei Zan.

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Kong, J., Zan, M., Chen, Z. et al. Vegetation carbon use efficiency response to drought in the Manas River Basin of Xinjiang.
Sci Rep (2025). https://doi.org/10.1038/s41598-025-29708-6

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  • DOI: https://doi.org/10.1038/s41598-025-29708-6

Keywords

  • Vegetation carbon use efficiency
  • Stability
  • Spatial and temporal trends
  • Lag effect
  • Resilience


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