Siberian taiga and tundra fire regimes from 2001–2020
Bibliographic Data
| ID | 15549154 |
|---|---|
| Authors | Anna C Talucci (0000-0001-8415-4813, Colgate University, corresponding author), M M Loranty (0000-0001-8851-7386, Colgate University), Heather D Alexander (0000-0003-1307-8483, Auburn University) |
| Year | 2022 |
| Volume | 17 |
| Issue | 2 |
| Pages | 025001-025001 |
| Publication date | 2022-01-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ac3f07 |
| OpenAlex | W4206413202 |
| Language | EN |
| Citations received | 10 |
| References cited | 59 |
Circum-boreal and -tundra systems are crucial carbon pools that are experiencing amplified warming and are at risk of increasing wildfire activity. Changes in wildfire activity have broad implications for vegetation dynamics, underlying permafrost soils, and ultimately, carbon cycling. However, understanding wildfire effects on biophysical processes across eastern Siberian taiga and tundra remains challenging because of the lack of an easily accessible annual fire perimeter database and underestimation of area burned by MODIS satellite imagery. To better understand wildfire dynamics over the last 20 years in this region, we mapped area burned, generated a fire perimeter database, and characterized fire regimes across eight ecozones spanning 7.8 million km 2 of eastern Siberian taiga and tundra from ∼61–72.5° N and 100° E–176° W using long-term satellite data from Landsat, processed via Google Earth Engine. We generated composite images for the annual growing season (May–September), which allowed mitigation of missing data from snow-cover, cloud-cover, and the Landsat 7 scan line error. We used annual composites to calculate the difference Normalized Burn Ratio (dNBR) for each year. The annual dNBR images were converted to binary burned or unburned imagery that was used to vectorize fire perimeters. We mapped 22 091 fires burning 152 million hectares (Mha) over 20 years. Although 2003 was the largest fire year on record, 2020 was an exceptional fire year for four of the northeastern ecozones resulting in substantial increases in fire activity above the Arctic Circle. Increases in fire extent, severity, and frequency with continued climate warming will impact vegetation and permafrost dynamics with increased likelihood of irreversible permafrost thaw that leads to increased carbon release and/or conversion of forest to shrublands
Arctic · Boreal · Climate change · Climatology · Ecosystem · Fire regime · Geography · Permafrost · Physical geography · Remote sensing · Satellite imagery · Taiga · Tree line · Tundra · Vegetation (pathology · Climate change and permafrost · Environmental Science · Fire effects on ecosystems · Rangeland and Wildlife Management · Ecology · Forestry · Geology
Global and Regional Trends and Drivers of Fire Under Climate Change
Precipitation-induced abrupt decrease of Siberian wildfire in summer 2022 under continued warming
Overwintering fires rising in eastern Siberia
Attribution of observed pan-Arctic extreme fire events to anthropogenic forcings
Summer drought weakens land surface cooling of tundra vegetation
The costs and benefits of fire management for carbon mitigation in Alaska through 2100
Detect Changes in Marsh Plant Communities Based on Landsat Long Time Series Data and BFAST Model
Winter soil temperature varies with canopy cover in Siberian larch forests
Recent massive expansion of wildfire and its impact on active layer over pan-Arctic permafrost
Wildfire smoke increases assaults
Fire in the Virgin Forests of the Boundary Waters Canoe Area, Minnesota
A Project for Monitoring Trends in Burn Severity
TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015
Impact of anthropogenic climate change on wildfire across western US forests
Terrestrial Ecoregions of the World
Simple Features for R
Google Earth Engine
Welcome to the Tidyverse
Remote sensing estimates of stand-replacement fires in Russia, 2002–2011
Consideration of anthropogenic factors in boreal forest fire regime changes during rapid socio-economic development
Wildfires in northern Siberian larch dominated communities
The footprint of Alaskan tundra fires during the past half-century
Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire
Circumpolar spatio-temporal patterns and contributing climatic factors of wildfire activity in the Arctic tundra from 2001–2015
Surface forcing of non-stand-replacing fires in Siberian larch forests
Spatial variation in vegetation productivity trends, fire disturbance, and soil carbon across arctic-boreal permafrost ecosystems
| Unique citing works | 10 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |