Skip to main content
padlock icon - secure page this page is secure

Studying the change in fAPAR after forest fires in Siberia using MODIS

Buy Article:

$60.00 + tax (Refund Policy)

Disturbance events such as fire have major effects on forest dynamics, succession and the carbon cycle in the boreal biome. This paper focuses on establishing whether characteristic spatio-temporal patterns of the fraction of Absorbed Photosynthetically Active Radiation (fAPAR) occur in the initial two years after a fire event in Siberian boreal forests. Time-series of MODIS fAPAR were used to study post-fire dynamics during the year of the fire and the following two years. Three forest types (evergreen needle-leaf, deciduous needle-leaf and deciduous broadleaf) grouped into three latitudinal regions, ranging from 51° N to 65° N, were studied by analysing a sample of 14 burned areas. For each of the burned areas an adjacent unburned control plot was selected with the aim of separating inter-annual variations caused by climate from changes in fAPAR behaviour due to a burn. The results suggest that (i) the forest types exhibit characteristic fAPAR change trajectories shortly after the fire, (ii) the differences in the fAPAR trajectories are related to the forest type, (iii) fAPAR changes are not significantly different among the latitudinal regions, and (iv) the limited temporal variability observed among the 3 years of observations indicates that fAPAR varies very little in the initial years after a fire event.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: Centre for Ecology and Hydrology Monks Wood, Huntingdon, Cambridgeshire PE28 2LS, UK,Departamento de Geografia, Universidad de Alcala, Madrid, Spain 2: Centre for Ecology and Hydrology Monks Wood, Huntingdon, Cambridgeshire PE28 2LS, UK 3: Department of Geography, University of Leicester, Leicester LE1 7RH, UK 4: Center for Spatial Technologies and Remote Sensing (CSTARS), University of California, Davis, USA,Centro de Ciencias Humanas y Sociales, Consejo Superior De Investigaciones Cientificas (CSIC), Madrid, Spain

Publication date: December 1, 2008

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more