气候变化领域集成服务门户(CCPortal): Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations

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DOI	10.1088/1748-9326/ab083d
	Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations
	Shvetsov E.G.; Kukavskaya E.A.; Buryak L.V.; Barrett K.
发表日期	2019
ISSN	17489318
卷号	14 期号:5
英文摘要	Wildfire is one of the main disturbances affecting forest dynamics, succession, and the carbon cycle in Siberian forests. The Zabaikal region in southern Siberia is characterized by one of the highest levels of fire activity in Russia. Time series of Landsat data and field measurements of the reforestation state were analyzed in order to estimate post-fire vegetation recovery. The results showed that the normalized burn ratio time series can be used to estimate forest recovery in the pine- and larch-dominated forests of the Zabaikal region. Multiple factors determine a forest's recovery rate after a wildfire, including fire severity, tree species characteristics, topography, hydrology, soil properties, and climate. Assessing these factors is important if we are to understand the effects of fire on forest succession and to implement sustainable forest management strategies. In this work we used the field data and Landsat data to estimate post-fire vegetation dynamics as a function of several environmental factors. These factors include fire severity, pre-fire forest state, topography, and positive surface temperature anomalies. A regression model showed that fire frequency, fire severity, and surface temperature anomalies are the primary factors, explaining about 58% of the variance in post-fire recovery. High frequency of fire and positive surface temperature anomalies hamper the post-fire reforestation process, while more severe burns are followed by higher recovery rates. Further studies are necessary to consider other important factors such as soil properties, moisture, and precipitation, for better explanation of post-fire vegetation recovery. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	NBR; post-fire regeneration; remote sensing; Siberia; Zabaikal region
语种	英语
scopus关键词	Atmospheric temperature; Recovery; Reforestation; Regression analysis; Remote sensing; Surface properties; Time series; Topography; Vegetation; Environmental factors; Post fire regeneration; SIBERIA; Surface temperature anomalies; Sustainable forest management; Vegetation dynamics; Vegetation recovery; Zabaikal region; Fires; assessment method; carbon cycle; environmental factor; Landsat; observational method; reforestation; remote sensing; satellite data; soil property; surface temperature; vegetation dynamics; Russian Federation; Siberia; Transbaikalia; Larix
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154597
作者单位	V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences - Separate Subdivision of FRC KSC SB RAS, 50/28 Akademgorodok, Krasnoyarsk, 660036, Russian Federation; Siberian State University, 79/10 Svobodny ave., Krasnoyarsk, 660041, Russian Federation; Branch of FBU VNIILM 'Center of the Forest Pyrology', Krupskaya str. 42, Krasnoyarsk, 660062, Russian Federation; Academician M.F. Rechetnev Siberian State University of Science and Technology, 82 Mira, Krasnoyarsk, 660049, Russian Federation; University of Leicester, Leicester Institute for Space and Earth Observation (LISEO), Centre for Landscape and Climate Research, School of Geography, Geology and the Environment, University Road, Leicester, LE1 7RH, United Kingdom
推荐引用方式 GB/T 7714	Shvetsov E.G.,Kukavskaya E.A.,Buryak L.V.,et al. Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations[J],2019,14(5).
APA	Shvetsov E.G.,Kukavskaya E.A.,Buryak L.V.,&Barrett K..(2019).Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations.Environmental Research Letters,14(5).
MLA	Shvetsov E.G.,et al."Assessment of post-fire vegetation recovery in Southern Siberia using remote sensing observations".Environmental Research Letters 14.5(2019).