{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T06:30:18Z","timestamp":1770359418263,"version":"3.49.0"},"reference-count":65,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T00:00:00Z","timestamp":1728086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Hainan Provincial Natural Science Foundation of China","award":["623RC447"],"award-info":[{"award-number":["623RC447"]}]},{"name":"Hainan Provincial Natural Science Foundation of China","award":["423MS117"],"award-info":[{"award-number":["423MS117"]}]},{"name":"Hainan Provincial Natural Science Foundation of China","award":["NHXXRCXM202352"],"award-info":[{"award-number":["NHXXRCXM202352"]}]},{"name":"Hainan Provincial Natural Science Foundation of China","award":["KYQD(ZR)22084"],"award-info":[{"award-number":["KYQD(ZR)22084"]}]},{"name":"Hainan Provincial Natural Science Foundation of China","award":["U23A2002"],"award-info":[{"award-number":["U23A2002"]}]},{"name":"Hainan Provincial Natural Science Foundation of China","award":["2019QZKK0405"],"award-info":[{"award-number":["2019QZKK0405"]}]},{"name":"Hainan University start-up fund","award":["623RC447"],"award-info":[{"award-number":["623RC447"]}]},{"name":"Hainan University start-up fund","award":["423MS117"],"award-info":[{"award-number":["423MS117"]}]},{"name":"Hainan University start-up fund","award":["NHXXRCXM202352"],"award-info":[{"award-number":["NHXXRCXM202352"]}]},{"name":"Hainan University start-up fund","award":["KYQD(ZR)22084"],"award-info":[{"award-number":["KYQD(ZR)22084"]}]},{"name":"Hainan University start-up fund","award":["U23A2002"],"award-info":[{"award-number":["U23A2002"]}]},{"name":"Hainan University start-up fund","award":["2019QZKK0405"],"award-info":[{"award-number":["2019QZKK0405"]}]},{"name":"National Natural Science Foundation of China","award":["623RC447"],"award-info":[{"award-number":["623RC447"]}]},{"name":"National Natural Science Foundation of China","award":["423MS117"],"award-info":[{"award-number":["423MS117"]}]},{"name":"National Natural Science Foundation of China","award":["NHXXRCXM202352"],"award-info":[{"award-number":["NHXXRCXM202352"]}]},{"name":"National Natural Science Foundation of China","award":["KYQD(ZR)22084"],"award-info":[{"award-number":["KYQD(ZR)22084"]}]},{"name":"National Natural Science Foundation of China","award":["U23A2002"],"award-info":[{"award-number":["U23A2002"]}]},{"name":"National Natural Science Foundation of China","award":["2019QZKK0405"],"award-info":[{"award-number":["2019QZKK0405"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program","award":["623RC447"],"award-info":[{"award-number":["623RC447"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program","award":["423MS117"],"award-info":[{"award-number":["423MS117"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program","award":["NHXXRCXM202352"],"award-info":[{"award-number":["NHXXRCXM202352"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program","award":["KYQD(ZR)22084"],"award-info":[{"award-number":["KYQD(ZR)22084"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program","award":["U23A2002"],"award-info":[{"award-number":["U23A2002"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program","award":["2019QZKK0405"],"award-info":[{"award-number":["2019QZKK0405"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Vegetation temperature sensitivity is a key indicator to understand the response of vegetation to temperature changes and predict potential shifts in ecosystem functions. However, under the context of global warming, the impact of future extreme heat events on vegetation temperature sensitivity remains poorly understood. Such research is crucial for predicting the dynamic changes in terrestrial ecosystem structure and function. To address this issue, we utilized historical (1850\u20132014) and future (2015\u20132100) simulation data derived from CMIP6 models to explore the spatiotemporal dynamics of vegetation temperature sensitivity under different carbon emission scenarios. Moreover, we employed correlation analysis to assess the impact of extreme heat events on vegetation temperature sensitivity. The results indicate that vegetation temperature sensitivity exhibited a declining trend in the historical period but yielded an increasing trend under the SSP245 and SSP585 scenarios. The increasing trend under the SSP245 scenario was less pronounced than that under the SSP585 scenario. By contrast, vegetation temperature sensitivity exhibited an upward trend until 2080 and it began to decline after 2080 under the SSP126 scenario. For all the three future scenarios, the regions with high vegetation temperature sensitivity were predominantly located in high latitudes of the Northern Hemisphere, the Tibetan Plateau, and tropical forests. In addition, the impact of extreme heat events on vegetation temperature sensitivity was intensified with increasing carbon emission intensity, particularly in the boreal forests and Siberian permafrost. These findings provide important insights and offer a theoretical basis and guidance to identify climatically sensitive areas under global climate change.<\/jats:p>","DOI":"10.3390\/rs16193708","type":"journal-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T07:30:18Z","timestamp":1728286218000},"page":"3708","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Stronger Impact of Extreme Heat Event on Vegetation Temperature Sensitivity under Future Scenarios with High-Emission Intensity"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2724-7542","authenticated-orcid":false,"given":"Han","family":"Yang","sequence":"first","affiliation":[{"name":"School of Ecology, Hainan University, Haikou 570000, China"}]},{"given":"Chaohui","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Ecology, Hainan University, Haikou 570000, China"}]},{"given":"Tingyuan","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Ecology, Hainan University, Haikou 570000, China"}]},{"given":"Jiahao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia"}]},{"given":"Zijia","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ecological Environment Monitoring Center of Hainan Province, Haikou 571126, China"}]},{"given":"Zhongmin","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Ecology, Hainan University, Haikou 570000, China"},{"name":"Hainan Baoting Tropical Rainforest Ecosystem Observation and Research Station, School of Ecology, Hainan University, Haikou 570228, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4855-5147","authenticated-orcid":false,"given":"Kai","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Ecology, Hainan University, Haikou 570000, China"},{"name":"Hainan Baoting Tropical Rainforest Ecosystem Observation and Research Station, School of Ecology, Hainan University, Haikou 570228, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111511","DOI":"10.1016\/j.ecolind.2023.111511","article-title":"Assessment of Terrestrial Ecosystem Sensitivity to Climate Change in Arid, Semi-Arid, Sub-Humid, and Humid Regions Using EVI, LAI, and SIF Products","volume":"158","author":"Chen","year":"2024","journal-title":"Ecol. 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