Multilevel assessment of spatiotemporal variability of vegetation in subtropical mountain-hill region

Bing wen Qiu, Can ying Zeng, Zheng hong Tang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


The complex spatiotemporal vegetation variability in the subtropical mountain-hill region was investigated through a multi-level modeling framework. Three levels - parcel, landscape, and river basin levels-were selected to discover the complex spatiotemporal vegetation variability induced by climatic, geomorphic and anthropogenic processes at different levels. The wavelet transform method was adopted to construct the annual maximum Enhanced Vegetation Index and the amplitude of the annual phenological cycle based on the 16-day time series of 250m Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index datasets during 2001-2010. Results revealed that land use strongly influenced the overall vegetation greenness and magnitude of phenological cycles. Topographic variables also contributed considerably to the models, reflecting the positive influence from altitude and slope. Additionally, climate factors played an important role: precipitation had a considerable positive association with the vegetation greenness, whereas the temperature difference had strong positive influence on the magnitude of vegetation phenology. The multilevel approach leads to a better understanding of the complex interaction of the hierarchical ecosystem, human activities and climate change.

Original languageEnglish (US)
Pages (from-to)1028-1038
Number of pages11
JournalJournal of Mountain Science
Issue number6
StatePublished - Dec 2013


  • Enhanced Vegetation Index
  • Mountain-hill region
  • Multilevel model
  • Spatiotemporal variability
  • Wavelet transform

ASJC Scopus subject areas

  • Global and Planetary Change
  • Geography, Planning and Development
  • Geology
  • Earth-Surface Processes
  • Nature and Landscape Conservation


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