Assessing spatial and temporal variations in surface soil moisture in fire-disturbed black spruce forests in Interior Alaska using spaceborne synthetic aperture radar imagery — Implications for post-fire tree recruitment
Introduction
The 2004 and 2005 Alaskan fire seasons represented this state's highest and third highest burned area since 1950 (2.71 and 1.78 × 106 ha, respectively), with most of the fire-affected areas located in the interior boreal forest region. Alaska's burned area during the decade between 1996 and 2005 (7.58 × 106 ha) represents 1/3 of the total burned area recorded since 1950. The burned area recorded over the past decade is equivalent to 17% of the boreal forest region in Interior Alaska, while that in 2004 and 2005 represents 10%. The increased fire activity in Alaska is consistent with the longer-term trends throughout the entire North American boreal forest region, where the average annual burned area has nearly tripled, from an average of 1.11 × 106 ha during the 1960s to 3.04 × 106 ha during the 2000s, most likely as the result of climate warming (Gillett et al., 2004, Kasischke and Turetsky, 2006).
The terrestrial ecosystems of the boreal region are a significant reservoir of carbon because of the development of deep organic layers in peatlands occupying poorly-drained sites and the presence of permafrost under many forests (Gorham, 1991, Harden et al., 2000, Kasischke and Stocks, 2000). In addition, variations in the consumption of surface organic layers during fires in permafrost forests directly affects the patterns of post-fire successions (Landhaeusser and Wein, 1993, Johnstone and Kasischke, 2005, Johnstone and Chapin, 2006) and post-fire soil respiration (Bergner et al., 2004). Monitoring and understanding the impacts of climate change and the recent increases in burned area on these ecosystems presents an important challenge to the scientific community (Kasischke et al., 1995a, Turetsky et al., 2002, Turetsky et al., 2004).
Because of the remote location of the boreal forest and the large extent of fires that are common to this region, satellite-remote sensing systems are becoming an increasingly important tool for monitoring this biome's land surface. Using coarse resolution (8 by 8 km) data from the AVHRR system, numerous scientists have noted an overall increase in vegetation greenness in the boreal region during the 1980s and 1990s (Myneni et al., 1997, Tucker et al., 2001, Zhou et al., 2001). While the observed increases in vegetation greenness are consistent with the warming that has occurred in this region (Lucht et al., 2002), other sources have been found, including earlier melting of snow (Dye & Tucker, 2003) and regeneration of vegetation following fires (Kasischke and French, 1997, Hicke et al., 2003). In addition, inter-annual variations in NDVI greenness have shown to be correlated with large-scale atmospheric circulation, such as the Arctic Oscillation (Vicente-Serrano et al., 2006). Throughout the Russian boreal forest, satellite observations provide the only means for reliable burned area information (Sukhinin et al., 2004). Satellite imagery have been also been demonstrated to be useful for mapping relative patterns of damage resulting from fires (Michalek et al., 2000, Isaev et al., 2002, Epting et al., 2005).
French et al. (1996) and Bourgeau-Chavez et al. (2007) showed that the backscatter measurements collected by spaceborne synthetic aperture radar (SAR) systems can be used to estimate soil moisture in recently burned forests, a capability that may prove to be important in understanding patterns of post-fire vegetation recovery in boreal forests. Here we present the results of a study with the goal of using ERS-1 and ERS-2 C-band (5.7 cm wavelength) SAR data to: (1) analyze the spatial and temporal variations patterns of soil moisture in recently disturbed black spruce forests; (2) relate these patterns to variations in climate and site characteristics; and (3) explore the relations between soil moisture patterns and post-fire tree recruitment.
Section snippets
Background
Research has shown that changes to boreal forest ecosystems caused by fires result in unique signatures on spaceborne imaging radar imagery collected over Alaska, Canada, and Russia (Kasischke et al., 1992, Kasischke et al., 1994, Bourgeau-Chavez et al., 1997, Bourgeau-Chavez et al., 2002, French et al., 1999). Burn-scar signatures were much more apparent on C-band (5.7 cm wavelength) imagery collected by the ERS-1 synthetic aperture radar (SAR) than on L-band (24 cm wavelength) SAR imagery
Methods
Seasonal and inter-annual variations in ERS radar backscatter and SAR-predicted soil moisture from two burned forests in Interior Alaska were analyzed for this study. The ERS SAR data collected during this study spanned a time period of 5 to 10 years after the fire event. The two fires were located on different landscape features, which in turn, influenced pre-fire forest type, permafrost development, and mineral soil moisture. One fire event burned during two distinct time periods, resulting
Results and discussion
The ERS SAR imagery in Fig. 2 illustrates the levels of spatial and temporal variations that occur in radar backscatter over burned forests during the first year after a fire. In Section 4.1, we conclude that variations in biomass associated with vegetation regrowth have a relative small impact on the ERS SAR backscatter in our study sites. In Section 4.2, we present and analyze the seasonal and inter-annual trends in radar backscatter, which are then used in Section 4.3 to analyze variations
Conclusions
In this study, we showed that the backscatter measurements obtained from the ERS-1 and ERS-2 SAR systems are sensitive to seasonal and inter-annual variations in near-surface soil moisture in the burned black spruce forests of interior Alaska. While inter-annual variations biomass will increase ERS SAR backscatter (on the order of 0.3 dB), and seasonal growth of foliage and herbaceous biomass will cause a decrease (on the order of 0.5 dB), the observed variations in ERS SAR backscatter (5 to
Acknowledgements
The research for this grant was supported by NASA (grant number NAG5-10097), with support for field observations in 2005 provided by the Bonanza Creek LTER program (USFS grant no. PNW01-JV11261952-231 and NSF grant no. DEB-0080609).
References (63)
A computer model of the solar radiation, soil moisture, and soil thermal regimes in boreal forests
Ecological Modelling
(1989)- et al.
Evaluation of remotely sensed indices for assessing burn severity in interior Alaska using Landsat TM and ETM+
Remote Sensing of Environment
(2005) - et al.
Initial observations of Radarsat imagery at fire-disturbed sites in interior Alaska
Remote Sensing of Environment
(1999) - et al.
Sensitivity of ERS-1 and JERS-1 radar data to biomass and stand structure in Alaskan boreal forest
Remote Sensing of Environment
(1995) - et al.
Comparison and sensitivity analysis of instruments and radiometric methods for LAI estimation: Assessments from a boreal forest site
Agricultural and Forest Meteorology
(2004) - et al.
Effects of seasonal hydrologic patterns in south Florida wetlands on radar backscatter measured from ERS-2 SAR imagery
Remote Sensing of Environment
(2003) - et al.
Monitoring freeze–thaw cycles along north–south Alaskan transects using ERS-1 SAR
Remote Sensing of Environment
(1994) - et al.
AVHRR-based mapping of fires in eastern Russia: New products for fire management and carbon cycle studies
Remote Sensing of Environment
(2004) - et al.
Experimental warming and burn severity alter CO2 flux and soil functional groups in recently burned boreal forest
Global Change Biology
(2004) - et al.
Simulation of moss and tree dynamics in the boreal forests of interior Alaska
Vegetatio
(1989)
The detection and mapping of Alaskan wildfires using a spaceborne imaging radar system
International Journal of Remote Sensing
Mapping fire scars in global boreal forests using imaging radar data
International Journal of Remote Sensing
Remote monitoring of spatial and temporal surface soil moisture in fire disturbed boreal forest ecosystems with ERS SAR imagery
International Journal of Remote Sensing
Fire effects on surface-atmosphere energy exchange in Alaska black spruce ecosystems: Implications for feedbacks to regional climate
Journal of Geophysical Research
Fire effects on net radiation and energy partitioning: Contrasting responses of tundra and boreal forest ecosystems
Journal of Geophysical Research
Seasonality and trends of snow-cover, vegetation index, and temperature in northern Eurasia
Geophysical Research Letters
Sensitivity of ERS-1 SAR to variations in soil water in fire-disturbed boreal forest ecosystems
International Journal of Remote Sensing
Detecting the effect of climate change on Canadian forest fires
Geophysical Research Letters
Northern peatlands: Role in the carbon cycle and probable responses to climatic warming
Ecological Applications
The role of fire in the boreal carbon budget
Global Change Biology
Post fire response of North American net primary productivity measured by satellite imagery
Global Change Biology
Using remote sensing for assessment of forest wildfire carbon emissions
Climatic Change
Effects of aspen (Populus tremuloides) sucker removal on post-fire conifer regeneration in central Alaska
Canadian Journal of Forest Research
Effects of soil burn severity on post-fire tree recruitment in boreal forests
Ecosystems
Stand-level effects of burn severity on post-fire regeneration in a recently-burned black spruce forest
Canadian Journal of Forest Research
Decadal observations of tree regeneration following fire in boreal forests
Canadian Journal of Forest Research
Constraints on using AVHRR composite index imagery to study patterns of vegetation cover in boreal forests
International Journal of Remote Sensing
Variation in post-fire organic layer thickness in a black spruce forest complex in Interior Alaska and its effects on soil temperature and moisture
Canadian Journal of Forest Research
Recent changes in the fire regime across the North American boreal region- spatial and temporal patterns of burning across Canada and Alaska
Geophysical Research Letters
Observations of variations in ERS-1 SAR image intensity associated with forest fires in Alaska
IEEE Transactions on Geoscience and Remote Sensing
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2019, Remote Sensing of EnvironmentCitation Excerpt :Most studies used post-fire images (Bourgeau-Chavez et al., 1994; Tanase et al., 2010a; Tanase et al., 2010b) or change detection frameworks based on pre- and post-fire datasets (Kurum, 2015; Tanase et al., 2015b) while few authors focused on the synergy between optical and radar sensors (Tanase et al., 2015a). The most accurate results were obtained using the cross-polarized (HV) backscatter and longer wavelengths such as the L-band with the retrieval accuracy being negatively influenced in areas of steep topography or with high soil moisture (Kalogirou et al., 2014; Kasischke et al., 2007; Tanase et al., 2010b). The influence of topography was removed through change detection approaches while the use of datasets acquired under dry environmental conditions or multi-temporal averages were suggested to reduce the effect of varying soil and vegetation moisture content (Tanase et al., 2015b; Tanase et al., 2010a).
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Current address: Department of Biology, University of Saskatchewan, 112 Science Place, Saskatoon SK S7N 5E2.