Spatio-temporal variations of vegetation cover and its influence on surface air temperature change over the Yellow River Basin, China
| Autor: | Zhenyue Han, Qiang Wu, Ruixun Lai, Shan-e-hyder Soomro, Dongru Hou, Caihong Hu |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Water and Climate Change, Vol 13, Iss 9, Pp 3239-3252 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2040-2244 2408-9354 |
| DOI: | 10.2166/wcc.2022.037 |
| Popis: | Northwest China has experienced dramatic changes in vegetation cover over the past few decades with the Yellow River Basin (YRB) being the most representative area. As the major climate-sensitive area in China, vegetation cover change is one reason for its impact on surface air temperature (SAT). This study uses the observation minus reanalysis (OMR) method to reveal the spatio-temporal variations of vegetation cover and its impact on SAT change over non-urban areas of the YRB from 1982 to 2015. The Global Inventory Modeling and Mapping Studies dataset, SAT derived from meteorological stations, and European Reanalysis (ERA)-interim reanalysis temperature data were used to analyze the relationship between normalized difference vegetation index (NDVI) and temperature variation caused by vegetation change. The NDVI trend (SlopeNDVI) of the entire YRB reached 1.11×10−2 decade−1, which indicated the recovery of vegetation in general. The impact of variation in vegetation conditions on SAT change during 1982–2015 was estimated to be 0.037 °C decade−1, which contributed 7.62% to the temperature change. The mean annual NDVI (MNDVI) and SlopeNDVI in the YRB were significantly negatively correlated (P |
| Databáze: | Directory of Open Access Journals |
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