Skip to main content
Log in

Climate change drives NDVI variations at multiple spatiotemporal levels rather than human disturbance in Northwest China

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Changes in land management and climate alter vegetation dynamics; however, the factors driving vegetation changes remain elusive at multiple spatiotemporal levels. Here, we assess the drivers of changes in greenness from 2000 to 2015 in Northwest China (NW China). We used multiple stepwise linear regression (MSLR), redundancy analysis (RDA), and 12 other models to quantify the impacts of precipitation and temperature metrics, gross domestic product (GDP), population, and grazing intensity on the normalized difference vegetation index (NDVI) at three administrative levels (county, town, and village), four temporal levels (yearly, May, July, and September), two vegetation types (woodland and grassland), and at annual precipitation gradients of <200, 200–400, and >400 mm. The results suggest that NW China underwent vegetation greening from 2000 to 2015. Precipitation and temperature were the most influential factors contributing to the NDVI change. Population was the main determinant of NDVI under the precipitation gradient of <200 mm, and the effect of GDP on NDVI was moderate. On the temporal scale, annual precipitation, precipitation before the previous year, and precipitation in the current year determined the NDVI in May, July, and September, respectively, for both woodland and grassland. At multiple scales, climate change was the primary driver of vegetation change in NW China, rather than human disturbance. These findings expand our understanding on drivers of NDVI at multiple levels over a long period. Measures to manage decreasing vegetation coverage may be more effective and could be implemented sooner based on predicted climate change in drylands worldwide.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

Download references

Acknowledgements

The authors would like to thank the editors and reviewers for their constructive comments.

Funding

The National Key Research and Development Program of China (2017YFC0505606); the Top Discipline and First-class University Construction Project (ydzxxk201818) of Minzu University of China.

Author information

Authors and Affiliations

Authors

Contributions

YP devised the project. YP, JS, and YZ developed the research questions and study design. JS, YZ, YH, LZ, ZW, JW, and YC collected, processed, and analyzed data. All authors contributed to the manuscript writing and editing.

Corresponding author

Correspondence to Yu Peng.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shang, J., Zhang, Y., Peng, Y. et al. Climate change drives NDVI variations at multiple spatiotemporal levels rather than human disturbance in Northwest China. Environ Sci Pollut Res 29, 13782–13796 (2022). https://doi.org/10.1007/s11356-021-16774-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-16774-2

Keywords

Navigation