{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T05:37:25Z","timestamp":1736314645818,"version":"3.32.0"},"reference-count":57,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,1,31]],"date-time":"2022-01-31T00:00:00Z","timestamp":1643587200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sci-ences and Natural Resources Research, Chinese Academy of Sciences","award":["WL2019001"]},{"DOI":"10.13039\/501100012692","name":"K. C. Wong Education Foundation","doi-asserted-by":"publisher","award":["GJTD-2020-14"],"id":[{"id":"10.13039\/501100012692","id-type":"DOI","asserted-by":"publisher"}]},{"name":"International Collaboration Project of CAS","award":["131965KYSB20200029"]},{"name":"The Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","award":["2021491411"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A changing climate has been posing significant impacts on vegetation growth, especially in the Yellow River Basin (YRB) where agriculture and ecosystems are extremely vulnerable. In this study, the data for normalized difference vegetation index (NDVI) obtained from moderate-resolution imaging spectroradiometer (MODIS) sensors and climate data (precipitation and temperature) derived from the national meteorological stations were employed to examine the spatiotemporal differences in vegetation growth and its reaction to climate changes in the YRB from 2000\u20132019, using several sophisticated statistical methods. The results showed that both NDVI and climatic variables exhibited overall increasing trends during this period, and positive correlations at different significant levels were found between temperature\/precipitation and NDVI. Furthermore, NDVI in spring had the strongest response to temperature\/precipitation, and the correlation coefficient of NDVI with temperature and precipitation was 0.485 and 0.726, respectively. However, an opposite situation was detected in autumn (September to November) since NDVIs exhibited the weakest responses to temperatures\/precipitation, and the NDVI\u2019s correlation with both temperature and precipitation was 0.13. This indicated that, compared to other seasons, increasing the temperature and precipitation has the most significant effect on NDVI in spring (March to May). Except for a few places in the northern, southern, and southwestern regions of the YRB, NDVI was positively correlated with precipitation in most areas. There was an inverse relationship between NDVI and temperature in most parts of the central YRB, especially in summer (June to August) and growing season (May to September); however, there was a positive correlation in most areas of the YRB in spring. Finally, continuous attention must be given to the influence of other factors in the YRB.<\/jats:p>","DOI":"10.3390\/rs14030687","type":"journal-article","created":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T03:16:18Z","timestamp":1643771778000},"page":"687","source":"Crossref","is-referenced-by-count":38,"title":["Effects of Climate Change on Vegetation Growth in the Yellow River Basin from 2000 to 2019"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5772-4224","authenticated-orcid":false,"given":"Yanqun","family":"Ren","sequence":"first","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450045, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1220-2876","authenticated-orcid":false,"given":"Jinping","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450045, China"},{"name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China"}]},{"given":"Suxia","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment\/Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100190, China"}]},{"given":"Zhonggen","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Resources and Environment\/Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100190, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6879-4818","authenticated-orcid":false,"given":"Tie","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}]},{"given":"Masoud Jafari","family":"Shalamzari","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, University of Chinese Academy of Sciences, Beijing 100094, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"10243","DOI":"10.3390\/rs70810243","article-title":"Responses of natural vegetation dynamics to climate drivers in China from 1982 to 2011","volume":"7","author":"Liu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1038\/30460","article-title":"Dynamic responses of terrestrial ecosystem carbon cycling to global climate change","volume":"393","author":"Cao","year":"1998","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.jaridenv.2005.03.007","article-title":"Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981\u20132003","volume":"63","author":"Anyamba","year":"2005","journal-title":"J. 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