Selective logging changes forest phenology in the Brazilian Amazon: Evidence from MODIS image time series analysis

Alexander Koltunov, Susan L. Ustin, Gregory P. Asner, Inez Fung

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

We present a large-scale study of the relationships between selective logging and forest phenology in the Brazilian Amazon. Time-series analysis of MODIS satellite data of selectively logged forests in Mato Grosso, Brazil, shows that relatively low levels (5-10%) of canopy damage cause significant and long-lasting (more than 3 years) changes in forest phenology. Partial clearing slows forest green-up in the dry season, progressively dries the canopy, and induces overall seasonal deficits in canopy moisture and greenness. Given large and increasing geographic extent of selective logging throughout Amazonia, this phenological disturbance has a potential to impact carbon and water fluxes, nutrient dynamics, and other functional processes in these forests.

Original languageEnglish (US)
Pages (from-to)2431-2440
Number of pages10
JournalRemote Sensing of Environment
Volume113
Issue number11
DOIs
StatePublished - Nov 16 2009
Externally publishedYes

Keywords

  • Brazil
  • MODIS
  • Remote sensing
  • Selective harvesting
  • Tropical forest disturbance

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences

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