TY - JOUR
T1 - Consideration of anthropogenic factors in boreal forest fire regime changes during rapid socio-economic development
T2 - case study of forestry districts with increasing burnt area in the Sakha Republic, Russia
AU - Kirillina, Kiunnei
AU - Shvetsov, Evgeny G.
AU - Protopopova, Viktoriya V.
AU - Thiesmeyer, Lynn J
AU - Yan, Wanglin
N1 - Funding Information:
Original content from this work may be used under the terms of the . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Keio University https://doi.org/10.13039/501100001697 Doctorate Student Grant-in-Aid Program 2017 Research Development Grant from Taikichiro Mori Memorial Research Fund yes � 2020 The Author(s). Published by IOP Publishing Ltd Creative Commons Attribution 3.0 licence
Funding Information:
The authors gratefully acknowledge financial support from Keio University Doctorate Student Grant-in-Aid Program and Taikichiro Mori Memorial Research Fund. The authors thank theDepartment of Forestry of Sakha Republic and the regional branch of the Aerial Forest Protection Service for granting access to historical fire data.We also thank two anonymous reviewers for their detailed comments and suggestions.
Publisher Copyright:
© 2020 The Author(s). Published by IOP Publishing Ltd.
PY - 2020
Y1 - 2020
N2 - This paper presents an original approach to characterizing historical fire regimes for regions with limited fire data. Fire variables were derived from satellite datasets and regional fire occurrence statistics. They defined the integral elements of a fire regime such as historical trends, spatiotemporal evolution, fire seasonality and causes. Temporal evolution was investigated based on a regime shift detection method developed by Rodionov while changes in the fire regime were analyzed for statistical significance using the Mann-Kendall trend test and Sen's slope estimator. A descriptive analysis was performed to assess fire seasonality, causes, and together formed the basis for this methodology. We validated the proposed approach by assessing historical fire activity in the Sakha Republic (Yakutia), which is one of the most fire-prone regions of Russia. The assessment was conducted with data from the period of 1996-2018. We detected increases in historical fire activity as well as thresholds of change in the fire regime. Changes during the analysis period included lengthening of fire season, increased burned area extent, and extension of peak fire period. Overall, significant changes in the fire regime were detected in the regions strongly affected by warming and increasing anthropogenic alteration.
AB - This paper presents an original approach to characterizing historical fire regimes for regions with limited fire data. Fire variables were derived from satellite datasets and regional fire occurrence statistics. They defined the integral elements of a fire regime such as historical trends, spatiotemporal evolution, fire seasonality and causes. Temporal evolution was investigated based on a regime shift detection method developed by Rodionov while changes in the fire regime were analyzed for statistical significance using the Mann-Kendall trend test and Sen's slope estimator. A descriptive analysis was performed to assess fire seasonality, causes, and together formed the basis for this methodology. We validated the proposed approach by assessing historical fire activity in the Sakha Republic (Yakutia), which is one of the most fire-prone regions of Russia. The assessment was conducted with data from the period of 1996-2018. We detected increases in historical fire activity as well as thresholds of change in the fire regime. Changes during the analysis period included lengthening of fire season, increased burned area extent, and extension of peak fire period. Overall, significant changes in the fire regime were detected in the regions strongly affected by warming and increasing anthropogenic alteration.
KW - boreal forest
KW - burnt area
KW - climate warming
KW - fire regime
KW - fire seasonality
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U2 - 10.1088/1748-9326/ab6c6e
DO - 10.1088/1748-9326/ab6c6e
M3 - Article
AN - SCOPUS:85082710088
SN - 1748-9318
VL - 15
JO - Environmental Research Letters
JF - Environmental Research Letters
IS - 3
M1 - 035009
ER -