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Analyzing Spatiotemporal Dynamics of Arctic Wildfires Using MODIS Data

Analyzing Spatiotemporal Dynamics of Arctic Wildfires Using MODIS Data
Abstract Category: 
1.1. Advances in Understanding Arctic System Components
Type: 
Poster
Kevin Jacque1, Jonathon Launspach2, Andrey Petrov3
1Department of Geography, University of Northern Iowa, Cedar Falls, IA, 50614, USA, jacquek [at] uni [dot] edu
2Department of Geography, University of Northern Iowa, 205 ITTC UNI, Cedar Falls, IA, 50614, USA, launsj26 [at] uni [dot] edu
3Department of Geography and GeoTREE Center, University of Northern Iowa, 205 ITTC UNI, Cedar Falls, IA, 50614, USA, Phone 319-273-6245, Fax 319-273-7103, andrey [dot] petrov [at] uni [dot] edu

The Arctic Fires Exploratory Study (AFES) aims to conduct an exploratory spatiotemporal analysis to reveal spatial patterns and temporal fluctuations of wildfire events in different parts of the Arctic. Tundra wildfires have an important impact on arctic ecosystems. Since tundra vegetation is very slow to recover, wildfires can substantially alter the amount of biomass and animal abundance in affected areas. Whereas boreal forest fires are well studied, the knowledge base about tundra wildfires is limited. Most arctic fires take place in remote areas and remain unmonitored from the ground or air. This study uses MODIS-derived active fire data to analyze spatial and temporal patterns of tundra wildfires between 2004 and 2008. The dataset incorporates locations of active fire events and estimates of fire radiated power (FRP).

On average there are 300–400 arctic fires registered by MODIS sensors every year. The largest number of fire events is recorded in 2005. The wildfires exhibit clear seasonality determined by seasonal changes in tundra landscapes with most fires occurring in July and August. We observed inter-year fluctuations when a fire season either started earlier (in June) or lasted longer (in to September). In terms of spatial distribution, the wildfires demonstrate a strong tendency to cluster, although year-to-year locations of clusters vary. Wildfires concentrated in Alaska and in Nenets, West Siberia and Chukotka sectors of the Russian Arctic. This is also true for the intensity of fires: in the five-year period the FRP values in some areas exhibited considerable spatial autocorrelation. Overall, Alaska was identified as the wildfire "hot spot" (a cluster of high intensity multiple fire events).

To analyze possible factors that determine spatiotemporal variation of arctic wildfires occurrence and intensity, we analyzed fire events in respect to geographic location (latitude/longitude), bioclimatic zones, vegetation types and proximity to points of human-caused disturbance (settlements, roads, pipelines, oil wells, etc.). The results clearly indicate the relationship between vegetation types and occurrences and intensity of wildfires: areas with larger amounts of combustible biomass and longer warm periods (mostly southern arctic ecosystems) having a greater number and more intensive fires. We were unable to detect a clear relationship between wildfire locations and elements of anthropogenic disturbance.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.