Development of a consistent global long-term burned area product (1982–2018) based on AVHRR-LTDR data

Abstract. Twelve mountainous basins of the Vitim Plateau (Eastern Siberia, Russia) with areas ranging from 967 to 18 200 km2 affected by extensive fires in 2003 (from 13 to 78% of burnt area) were delineated based on MODIS Burned Area Product. The studied area is characterized by scarcity of hydrometeorological observations and complex hydrological processes. Combined analysis of monthly series of flow and precipitation was conducted to detect short-term fire impact on hydrological response of the basins. The idea of basin-analogues which have significant correlation of flow with "burnt" watersheds in stationary (pre-fire) period with the assumption that fire impact produced an outlier of established dependence was applied. Available data allowed for qualitative detection of fire-induced changes at two basins from twelve studied. Summer flow at the Amalat and Vitimkan Rivers (22 and 78% proportion of burnt area in 2003, respectively) increased by 40–50% following the fire.The impact of fire on flow from the other basins was not detectable.The hydrological model Hydrograph was applied to simulate runoff formation processes for stationary pre-fire and non-stationary post-fire conditions. It was assumed that landscape properties changed after the fire suggest a flow increase. These changes were used to assess the model parameters which allowed for better model performance in the post-fire period.

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Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation–fire model SSiB4/TRIFFID-Fire v1.0

Geoscientific Model Development ◽

10.5194/gmd-13-6029-2020 ◽

2020 ◽

Vol 13 (12) ◽

pp. 6029-6050

Author(s):

Huilin Huang ◽

Yongkang Xue ◽

Fang Li ◽

Ye Liu

Keyword(s):

Surface Energy ◽

Surface Fluxes ◽

Surface Energy Budget ◽

Biophysical Model ◽

Burned Area ◽

Area Index ◽

Fire Model ◽

Vegetation Height ◽

Fire Impact

Abstract. Fire is one of the primary disturbances to the distribution and ecological properties of the world's major biomes and can influence the surface fluxes and climate through vegetation–climate interactions. This study incorporates a fire model of intermediate complexity to a biophysical model with dynamic vegetation, SSiB4/TRIFFID (The Simplified Simple Biosphere Model coupled with the Top-down Representation of Interactive Foliage and Flora Including Dynamics Model). This new model, SSiB4/TRIFFID-Fire, updating fire impact on the terrestrial carbon cycle every 10 d, is then used to simulate the burned area during 1948–2014. The simulated global burned area in 2000–2014 is 471.9 Mha yr−1, close to the estimate of 478.1 Mha yr−1 in Global Fire Emission Database v4s (GFED4s), with a spatial correlation of 0.8. The SSiB4/TRIFFID-Fire reproduces temporal variations of the burned area at monthly to interannual scales. Specifically, it captures the observed decline trend in northern African savanna fire and accurately simulates the fire seasonality in most major fire regions. The simulated fire carbon emission is 2.19 Pg yr−1, slightly higher than the GFED4s (2.07 Pg yr−1). The SSiB4/TRIFFID-Fire is applied to assess the long-term fire impact on ecosystem characteristics and surface energy budget by comparing model runs with and without fire (FIRE-ON minus FIRE-OFF). The FIRE-ON simulation reduces tree cover over 4.5 % of the global land surface, accompanied by a decrease in leaf area index and vegetation height by 0.10 m2 m−2 and 1.24 m, respectively. The surface albedo and sensible heat are reduced throughout the year, while latent heat flux decreases in the fire season but increases in the rainy season. Fire results in an increase in surface temperature over most fire regions.

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Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series

Remote Sensing ◽

10.3390/rs10060940 ◽

2018 ◽

Vol 10 (6) ◽

pp. 940 ◽

Cited By ~ 13

Author(s):

José García-Lázaro ◽

José Moreno-Ruiz ◽

David Riaño ◽

Manuel Arbelo

Keyword(s):

Time Series ◽

Boreal Forest ◽

Burned Area ◽

Data Record ◽

Term Data

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An Assessment of the Accuracy of the MCA45A1 Burned Area Product in Tallgrass Prairie

Papers in Applied Geography ◽

10.1080/23754931.2015.1115368 ◽

2016 ◽

Vol 2 (2) ◽

pp. 253-260 ◽

Cited By ~ 2

Author(s):

Rhett Mohler ◽

Douglas Goodin

Keyword(s):

Tallgrass Prairie ◽

Burned Area ◽

Area Product

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Simulating the effect of forest fire on long-term annual timber supply

Canadian Journal of Forest Research ◽

10.1139/x83-068 ◽

1983 ◽

Vol 13 (3) ◽

pp. 451-457 ◽

Cited By ~ 32

Author(s):

C. E. Van Wagner

Keyword(s):

Forest Fire ◽

Yield Curve ◽

The Other ◽

Burned Area ◽

Optimum Level ◽

Primary Result ◽

Managed Forests ◽

Timber Supply ◽

Area Burned

A model is described that incorporates the effects of forest fire on long-term equilibrium timber supply. Its form is a computer simulation that burns and harvests specified proportions of a hypothetical forest with a given yield curve of volume over age. The primary result is the extent to which the equilibrium maximum sustainable annual harvest is depresssed by fire. This depression is always greater than the volume killed on the burned area. On the other hand, when the annual area cut is somewhat below the optimum level, the volume of harvest is relatively insensitive to the amount of fire. The results imply that the real impact of fire in managed forests is properly judged by the effect of the harvest, not from data on area burned and volume killed.

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Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018)

Fire ◽

10.3390/fire4040074 ◽

2021 ◽

Vol 4 (4) ◽

pp. 74

Author(s):

Gonzalo Otón ◽

José Miguel C. Pereira ◽

João M. N. Silva ◽

Emilio Chuvieco

Keyword(s):

Time Series ◽

Temporal Trends ◽

European Space Agency ◽

Eastern Africa ◽

Burned Area ◽

Data Series ◽

Short Term ◽

The Impact ◽

Term Data

We present an analysis of the spatio-temporal trends derived from long-term burned area (BA) data series. Two global BA products were included in our analysis, the FireCCI51 (2001–2019) and the FireCCILT11 (1982–2018) datasets. The former was generated from Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m reflectance data, guided by 1 km active fires. The FireCCILT11 dataset was generated from Land Long-Term Data Record data (0.05°), which provides a consistent time series for Advanced Very High Resolution Radiometer images, acquired from the NOAA satellite series. FireCCILT11 is the longest time series of a BA product currently available, making it possible to carry out temporal analysis of long-term trends. Both products were developed under the FireCCI project of the European Space Agency. The two datasets were pre-processed to correct for temporal autocorrelation. Unburnable areas were removed and the lack of the FireCCILT11 data in 1994 was examined to evaluate the impact of this gap on the BA trends. An analysis and comparison between the two BA products was performed using a contextual approach. Results of the contextual Mann-Kendall analysis identified significant trends in both datasets, with very different regional values. The long-term series presented larger clusters than the short-term ones. Africa displayed significant decreasing trends in the short-term, and increasing trends in the long-term data series, except in the east. In the long-term series, Eastern Africa, boreal regions, Central Asia and South Australia showed large BA decrease clusters, and Western and Central Africa, South America, USA and North Australia presented BA increase clusters.

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Theoretical uncertainties for global satellite-derived burned area estimates

10.5194/bg-2019-115 ◽

2019 ◽

Author(s):

James Brennan ◽

Jose L. Gómez-Dans ◽

Mathias Disney ◽

Philip Lewis

Keyword(s):

Quantitative Information ◽

Error Model ◽

Burned Area ◽

Scientific Application ◽

Uncertainty Estimates ◽

Modelling Studies ◽

Area Product

Abstract. Quantitative information on the error properties of global satellite-derived burned area estimates is essential for the scientific application of these datasets. We estimate theoretical uncertainties for three global satellite-derived burned area products using a multiplicative triple collocation error model. The approach provides unique uncertainties at 1° for the MODIS Collection 6 burned area product (MCD64); the MODIS Collection 5.1 MCD45 product and the FireCCI50 product. Theoretical uncertainties indicate constraints on mean global burned area for three product of 3.76 ± 0.15 x 106 km2 for MCD64, 3.70 ± 0.17 x 106 km2 for FireCCI50, and 3.31 ± 0.18 x 106 km2. These correspond to relative uncertainties of 4–5.5 % and also indicate previous uncertainty estimates to be under-estimated. Relative uncertainties in frequently burning regions of Africa and Australia are typically 8–10 % and higher in regions with smaller annual burned area. The proposed method provides uncertainties amenable to both modelling studies and for the validation of current burned area products.

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