Vegetation NDVI linked to temperature and precipitation in the upper catchments of Yellow River

Fanghua Hao, Xuan Zhang, Wei Ouyang*, Andrew K. Skidmore, A. G. Toxopeus

*Corresponding author for this work

Research output: Contribution to journalArticle

44 Citations (Scopus)
14 Downloads (Pure)

Abstract

Vegetation in the upper catchment of Yellow River is critical for the ecological stability of the whole watershed. The dominant vegetation cover types in this region are grassland and forest, which can strongly influence the eco-environmental status of the whole watershed. The normalized difference vegetation index (NDVI) for grassland and forest has been calculated and its daily correlation models were deduced by Moderate Resolution Imaging Spectroradiometer products on 12 dates in 2000, 2003, and 2006. The responses of the NDVI values with the inter-annual grassland and forest to three climatic indices (i. e., yearly precipitation and highest and lowest temperature) were analyzed showing that, except for the lowest temperature, the yearly precipitation and highest temperature had close correlations with the NDVI values of the two vegetation communities. The value of correlation coefficients ranged from 0.815 to 0.951 (p < 0.01). Furthermore, the interactions of NDVI values of vegetation with the climatic indicators at monthly interval were analyzed. The NDVI of vegetation and three climatic indices had strong positive correlations (larger than 0.733, p < 0.01). The monthly correlations also provided the threshold values for the three climatic indictors, to be used for simulating vegetation growth grassland under different climate features, which is essential for the assessment of the vegetation growth and for regional environmental management.

Original languageEnglish
Pages (from-to)389-398
Number of pages10
JournalEnvironmental Modeling and Assessment
Volume17
Issue number4
DOIs
Publication statusPublished - 2012
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2011. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Vegetation dynamics
  • Correlation analysis
  • MODIS
  • Climatic feature
  • Yellow River

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