Mots-clés
Analyse statistique ; Années 2000-2010 ; Bassin-versant ; Changement climatique ; Chine ; Corrélation ; Distribution spatiale ; Huanghe ; Indice de végétation ; Précipitation ; Série chronologique ; Température ; Variabilité interannuelle ; VégétationChina ; Climatic change ; Correlation ; Huang He ; Interannual variability ; Precipitation ; Spatial distribution ; Statistical analysis ; Temperature ; Time series ; Vegetation ; Vegetation index ; WatershedAnálisis estadístico ; Cambio climático ; China ; Correlación ; Cuenca hidrográfica ; Distribución espacial ; Precipitación ; Serie cronológica ; Temperatura ; Variabilidad interanual ; Vegetación ; Índice de vegetaciónInter-annual variations in vegetation and their response to climatic factors in the upper catchments of the Yellow River from 2000 to 2010
Auteur(s) et Affiliation(s)
CAO, R.
state Key Lab. of Earth Surface Processes and Ressource Ecology, Normal Univ., Beijing, Chine
Key Lab. of Environmental Change and Natural Disaster, Normal Univ., Beijing, Chine
JIANG, W.
state Key Lab. of Earth Surface Processes and Ressource Ecology, Normal Univ., Beijing, Chine
Key Lab. of Environmental Change and Natural Disaster, Normal Univ., Beijing, Chine
YUAN, L.
state Key Lab. of Earth Surface Processes and Ressource Ecology, Normal Univ., Beijing, Chine
Key Lab. of Environmental Change and Natural Disaster, Normal Univ., Beijing, Chine
WANG, W.
Chinese Research Academy of Environmental Sciences, Beijing, Chine
LV, Z.
National Meteorological Center, Beijing, Chine
CHEN, Z.
state Key Lab. of Earth Surface Processes and Ressource Ecology, Normal Univ., Beijing, Chine
Key Lab. of Environmental Change and Natural Disaster, Normal Univ., Beijing, Chine
Description :
To understand the variations in vegetation and their correlation with climate factors in the upper catchments of the Yellow River, China, Normalized Difference Vegetation Index (NDVI) time series data from 2000 to 2010 were collected based on the MOD13Q1 product. The coefficient of variation, Theil-Sen median trend analysis and the Mann-Kendall test were combined to investigate the volatility characteristic and trend characteristic of the vegetation over this period. Climate data, land use/land cover data and information on hydropower development were then added to analyze the factors influencing the inter-annual changes in vegetation in the Longyangxia-Liujiaxia (Long-Liu) basin of the Yellow River. It is highlighted that more than 70% of the vegetation has an insignificant correlation with climatic factors.
Type de document :
Article de périodique
Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2014, vol. 24, n°. 6, p. 963-979, nombre de pages : 17, Références bibliographiques : 51 ref.
Date :
2014
Editeur :
Pays édition : Chine
Langue :
Anglais
Anglais
Droits :
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Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)