Decoupling the response of vegetation dynamics to asymmetric warming over the Qinghai-Tibet plateau from 2001 to 2020

• Published in: Journal of environmental management 2023-12, Vol.347, p.119131-119131, Article 119131
• Main Authors: Xu, Binni, Li, Jingji, Pei, Xiangjun, Yang, Hailong
• Format: Article
• Language: English
• Subjects: Asymmetric warming; Partial least squares structural equation model (PLS-SEM); The qinghai-tibet plateau (QTP); Topography; Vegetation dynamics
• ISSN: 0301-4797; 1095-8630
• DOI: 10.1016/j.jenvman.2023.119131

Global land surface air temperature data show that in the past 50 years, the rate of nighttime warming has been much faster than that of daytime, with the minimum daily temperature (Tmin) increasing about 40% faster than the maximum daily temperature (Tmax), resulting in a decreased diurnal temperature difference. The Qinghai-Tibet Plateau (QTP) is known as the "roof of the world", where temperatures have risen twice as fast as the global average warming rate in the last few decades. The factors affecting vegetation growth on the QTP are complex and still not fully understood to some extent. Previous studies paid less attention to the explanations of the complicated interactions and pathways between elements that influence vegetation growth, such as climate (especially asymmetric warming) and topography. In this study, we characterized the spatial and temporal trends of vegetation coverage and investigated the response of vegetation dynamics to asymmetric warming and topography in the QTP during 2001–2020 using trend analysis, partial correlation analysis, and partial least squares structural equation model (PLS-SEM) analysis. We found that from 2001 to 2020, the entire QTP demonstrated a greening trend in the growing season (April to October) at a rate of 0.0006/a (p