Investigating the long-term response of plateau vegetation productivity to extreme climate: insights from a case study in Qinghai Province, China

Int J Biometeorol. 2024 Feb;68(2):333-349. doi: 10.1007/s00484-023-02593-2. Epub 2023 Dec 5.

Abstract

Over the past three decades, there has been a significant global climate change characterized by an increase in the intensity and frequency of extreme climate events. The vegetation status in Qinghai Province has undergone substantial changes, which are more pronounced than other regions in the Qinghai-Tibet Plateau. However, a clear understanding of the response characteristics of plateau vegetation to extreme climate events is currently lacking. In this study, we investigated the response of net primary productivity (NPP) to different forms of extreme climate events across regions characterized by varying levels of aridity and elevation gradients. Specifically, we observed a significant increase in NPP in relatively arid regions. Our findings indicate that, in relatively arid regions, single episodes of high-intensity precipitation have a pronounced positive effect (higher correlation) on NPP. Furthermore, in high-elevation regions (4000-6000 m), both the intensity and frequency of precipitation events are crucial factors for the increase in regional NPP. However, continuous precipitation can have significant negative impacts on certain areas within relatively wet regions. Regarding temperature, a reduction in the number of frost days within a year has been shown to lead to a significant increase in NPP in arid regions. This reduction allows vegetation growth rate to increase in regions where it was limited by low temperatures. Vegetation conditions in drought-poor regions are expected to continue to improve as extreme precipitation intensifies and extreme low-temperature events decrease.

Keywords: Elevation; Extreme climate change; Net primary productivity; Qinghai-Tibet Plateau; Vegetation dynamics.

MeSH terms

  • China
  • Climate Change
  • Ecosystem*
  • Models, Theoretical*
  • Temperature
  • Tibet