The Minimum Temperature Outweighed the Maximum Temperature in Determining Plant Growth over the Tibetan Plateau from 1982 to 2017

Abstract

The Tibetan Plateau (TP) plays a crucial role in the climate change of China as well as global climate change. It is therefore of great practical significance to study vegetation and its dynamic changes for regional ecological protection. The combination of a dry climate and notable temperature disparities can lead to intricate effects on the region’s vegetation. However, there are few studies exploring the complex effects of diurnal temperature variations on vegetation growth that differ from the effects of mean temperature on the TP, especially under different frozen ground types. Based on the long-time series maximum temperature (Tmax), minimum temperature (Tmin), and Normalized Difference Vegetation Index (NDVI) of the TP, we conducted a comparative study of the warming effects on plant growth under different frozen types. The results exhibit that it warms up faster at night (0.223 °C de−1; p < 0.01) than during the day (0.06 °C de−1; p < 0.01), resulting in a significant decrease in the temperature difference between day and night (−0.078 °C de−1; p < 0.01) in the past few decades. The principal finding of this paper is that Tmin is the dominant temperature indicator for vegetation growth on the TP, which dominates 63.3% of the area for NDVI and 61.4% of the area for GPP, respectively. The results further identify a stronger correlation between air temperature and vegetation growth in seasonal frozen grounds (R = 0.68, p < 0.01) and permafrost regions (R = 0.7, p < 0.01) compared to unfrozen grounds (R = 0.58, p < 0.01). Moreover, the physiological mechanism underlying the asymmetric influence of Tmin and Tmax on vegetation growth is further elucidated in this study. Given that future climate changes are expected to exacerbate these changes, it is imperative to explore additional avenues in pursuit of potential mechanisms that can offer adaptive strategies for safeguarding the ecology of the TP.

Assessing the Impacts of Future Climate and Land-Use Changes on Streamflow under Multiple Scenarios: A Case Study of the Upper Reaches of the Tarim River in Northwest China

“…The future climate change data were acquired from the National Tibetan Plateau Data Center (http://data.tpdc.ac.cn, accessed on 1 December 2023). The data were downscaled by Peng, et al [62] using the Delta method [63,64] and have been widely used [65][66][67]. These monthly scale meteorological data were derived from three climate models: EC-Earth3, GFDL-ESM4, and MRI-ESM2-0 under SSP119, SSP245, and SSP585 scenarios with a spatial resolution of 30 s × 30 s from 2021-2050.…”

Response of Alpine Timberline to Permafrost Degradation on Changbai Mountain

“…There is an interaction between vegetation growth and permafrost changes [4]. On one hand, the development of vegetation helps to intercept solar radiation, thus hindering the melting of permafrost, and the demise of vegetation will also lead to permafrost degradation [5]; on the other hand, permafrost also affects vegetation as, in the short term, the degradation of permafrost will affect the hydrothermal environment of the soil layer in the alpine zone, and the water and organic matter released by permafrost thawing will promote the development 2 of 15 of vegetation [6].…”