Your browser doesn't support javascript.
loading
Temporal variation characteristics in the association between climate and vegetation in Northwest China.
Zheng, Shijun; Peng, Dailiang; Zhang, Bing; Yu, Le; Pan, Yuhao; Wang, Yan; Feng, Xuxiang; Dou, Changyong.
Affiliation
  • Zheng S; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Peng D; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. pengdl@aircas.ac.cn.
  • Zhang B; International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China. pengdl@aircas.ac.cn.
  • Yu L; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
  • Pan Y; International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
  • Wang Y; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Feng X; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China. leyu@tsinghua.edu.cn.
  • Dou C; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Sci Rep ; 14(1): 17905, 2024 08 02.
Article de En | MEDLINE | ID: mdl-39095561
ABSTRACT
Northwest China has undergone notable alterations in climate and vegetation growth in recent decades. Nevertheless, uncertainties persist concerning the response of different vegetation types to climate change and the underlying mechanisms. This study utilized the Normalized Difference Vegetation Index (NDVI) and three sets of meteorological data to investigate the interannual variations in the association between vegetation and climate (specifically precipitation and temperature) from 1982 to 2015. Several conclusions were drawn. (1) RNDVI-GP (relationship between Growing Season NDVI and precipitation) decreased significantly across all vegetation, while RNDVI-GT (relationship between Growing Season NDVI and temperature) showed an insignificant increase. (2) Trends of RNDVI-GP and RNDVI-GT exhibited great variations across various types of vegetation, with forests displaying notable downward trends in both indices. The grassland exhibited a declining trend in RNDVI-GP but an insignificant increase in RNDVI-GT, while no significant temporal changes in RNDVI-GP or RNDVI-GT were observed in the barren land. (3) The fluctuations in RNDVI-GP and RNDVI-GT closely aligned with variations in drought conditions. Specifically, in regions characterized by VPD (vapor pressure deficit) trends less than 0.02 hpa/yr, which are predominantly grasslands, a rise in SWV (soil water volume) tended to cause a reduction in RNDVI-GP but an increase in RNDVI-GT. However, a more negative trend in SWV was associated with a more negative trend in both RNDVI-GP and RNDVI-GT when the VPD trend exceeded 0.02 hPa/yr, primarily in forests. Our results underscore the variability in the relationship between climate change and vegetation across different vegetation types, as well as the role of drought in modulating these associations.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Changement climatique Pays/Région comme sujet: Asia Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Changement climatique Pays/Région comme sujet: Asia Langue: En Journal: Sci Rep Année: 2024 Type de document: Article Pays d'affiliation: Chine