42
Views
0
CrossRef citations to date
0
Altmetric
Note

Vegetation quality and its change in the Three North Shelterbelt Forest region in China

, , , , , , & show all
Pages 285-298 | Received 18 Apr 2023, Accepted 09 Oct 2023, Published online: 06 Nov 2023
 

Abstract

The Three North Shelterbelt Forest (TNSF) region in northern China is the largest artificial afforestation area in the world. Vegetation quality in the TNSF region has been improved greatly in recent years. This article presents a new approach to characterize vegetation quality by coupling vegetation productivity and coverage, examining the trend of vegetation quality from 2000 to 2021 at 1 km × 1 km spatial resolution by the linear regression trend method, and analyzing the driving forces of that trend. The results revealed a significant spatial difference of vegetation quality. Higher vegetation quality was found in the east and southeast of the TNSF region. Improvement of vegetation quality was found in approximately 80% area of the TNSF region, at a rate of 0 ∼ 52 g C m−2yr−1 with α = 0.05 significance between 2000 and 2021. Vegetation quality deteriorated in a few areas. The increase in CO2 concentrations and annual precipitation facilitated the improvement of vegetation quality, but also human efforts in ecological protection and restoration accelerated the improvement of vegetation quality under the current climate change background. The results might contribute to designing future ecological projects and the scientific adjustment of vegetation restoration strategies.

Acknowledgments

The author thanks the National Meteorological Information Center and the Resource and Environmental Science Data Center of the Chinese Academy of Sciences for their data support.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was funded by National Key R&D Program of China (2021YFB3901103).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 374.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.