{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T03:33:48Z","timestamp":1773804828274,"version":"3.50.1"},"reference-count":68,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T00:00:00Z","timestamp":1692057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities","award":["B220204014"],"award-info":[{"award-number":["B220204014"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["B220203051"],"award-info":[{"award-number":["B220203051"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u2019s 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 \u00b0C de\u22121; p &lt; 0.01) than during the day (0.06 \u00b0C de\u22121; p &lt; 0.01), resulting in a significant decrease in the temperature difference between day and night (\u22120.078 \u00b0C de\u22121; p &lt; 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 &lt; 0.01) and permafrost regions (R = 0.7, p &lt; 0.01) compared to unfrozen grounds (R = 0.58, p &lt; 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.<\/jats:p>","DOI":"10.3390\/rs15164032","type":"journal-article","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T11:09:44Z","timestamp":1692097784000},"page":"4032","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The Minimum Temperature Outweighed the Maximum Temperature in Determining Plant Growth over the Tibetan Plateau from 1982 to 2017"],"prefix":"10.3390","volume":"15","author":[{"given":"Xi","family":"Li","sequence":"first","affiliation":[{"name":"The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210024, China"},{"name":"Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210024, China"},{"name":"College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China"}]},{"given":"Ke","family":"Zhang","sequence":"additional","affiliation":[{"name":"The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210024, China"},{"name":"Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210024, China"},{"name":"College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China"},{"name":"China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing 210024, China"},{"name":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 210024, China"},{"name":"Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources, Hohai University, Nanjing 210024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7205-7506","authenticated-orcid":false,"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"College of Hydrology and Water Resources, Hohai University, Nanjing 210024, China"},{"name":"China Meteorological Administration Hydro-Meteorology Key Laboratory, Hohai University, Nanjing 210024, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1016\/j.scib.2021.04.017","article-title":"The Tibetan Plateau as the engine for Asian environmental change: The Tibetan Plateau Earth system research into a new era","volume":"66","author":"Chen","year":"2021","journal-title":"Sci. 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