4.7 Article

Wildfires Dynamics in Siberian Larch Forests

期刊

FORESTS
卷 7, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/f7060125

关键词

wildfires; drought index; larch stands; fire return interval; fire frequency; burned area; climate-induced trends in Siberian wildfires

类别

资金

  1. Russian Science Foundation [14-24-00112]
  2. Russian Science Foundation [14-24-00112] Funding Source: Russian Science Foundation

向作者/读者索取更多资源

Wildfire number and burned area temporal dynamics within all of Siberia and along a south-north transect in central Siberia (45 degrees - 73 degrees N) were studied based on NOAA/AVHRR (National Oceanic and Atmospheric Administration/Advanced Very High Resolution Radiometer) and Terra/MODIS (Moderate Resolution Imaging Spectroradiometer) data and field measurements for the period 1996-2015. In addition, fire return interval (FRI) along the south-north transect was analyzed. Both the number of forest fires and the size of the burned area increased during recent decades (p < 0.05). Significant correlations were found between forest fires, burned areas and air temperature (r = 0.5) and drought index (The Standardized Precipitation Evapotranspiration Index, SPEI) (r = -0.43). Within larch stands along the transect, wildfire frequency was strongly correlated with incoming solar radiation (r = 0.91). Fire danger period length decreased linearly from south to north along the transect. Fire return interval increased from 80 years at 62 degrees N to 200 years at the Arctic Circle (66 degrees 33'N), and to about 300 years near the northern limit of closed forest stands (about 71 degrees + N). That increase was negatively correlated with incoming solar radiation (r = -0.95).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Environmental Sciences

Larch (Larix dahurica Turcz) growth response to climate change in the Siberian permafrost zone

Viacheslav I. Kharuk, Kenneth J. Ranson, Il'ya A. Petrov, Maria L. Dvinskaya, Sergei T. Im, Alexei S. Golyukov

REGIONAL ENVIRONMENTAL CHANGE (2019)

Article Ecology

Importance of tree- and species-level interactions with wildfire, climate, and soils in interior Alaska: Implications for forest change under a warming climate

Adrianna C. Foster, Amanda H. Armstrong, Jacquelyn K. Shuman, Herman H. Shugart, Brendan M. Rogers, Michelle C. Mack, Scott J. Goetz, K. Jon Ranson

ECOLOGICAL MODELLING (2019)

Article Forestry

The Effect of Post-Fire Disturbances on a Seasonally Thawed Layer in the Permafrost Larch Forests of Central Siberia

Evgenii Ponomarev, Oxana Masyagina, Kirill Litvintsev, Tatiana Ponomareva, Evgeny Shvetsov, Konstantin Finnikov

FORESTS (2020)

Article Ecology

A multi-scaled analysis of forest structure using individual-based modeling in a costa rican rainforest

A. H. Armstrong, A. Huth, B. Osmanoglu, G. Sun, K. J. Ranson, R. Fischer

ECOLOGICAL MODELLING (2020)

Article Ecology

Role of an Altitudinal Zonal Basis and Remote Sensing Data in the Sustainable Management of Mountain Forests

D. Nazimova, E. Ponomarev, M. E. Konovalova

CONTEMPORARY PROBLEMS OF ECOLOGY (2020)

Article Engineering, Environmental

Wildfires in the Siberian taiga

Viacheslav I. Kharuk, Evgenii I. Ponomarev, Galina A. Ivanova, Maria L. Dvinskaya, Sean C. P. Coogan, Mike D. Flannigan

Summary: Most wildfires in Siberia occur in larch forests, with warming leading to an increase in their frequency and area. Larch and Scots pine have adapted to periodic forest fires, contributing to their competitive advantage in the taiga.
Article Environmental Sciences

Current Trend of Carbon Emissions from Wildfires in Siberia

Evgenii Ponomarev, Nikita Yakimov, Tatiana Ponomareva, Oleg Yakubailik, Susan G. Conard

Summary: Analysis shows that the annual average of direct carbon emissions from wildfires in Siberia has been 80 +/- 20 Tg C/year since 2002, but the emissions in 2020 were exceptionally high at 350 Tg C/year. Over the next decade, fire emissions may increase to 250 +/- 30 Tg C/year.

ATMOSPHERE (2021)

Article Forestry

Soil Temperature in Disturbed Ecosystems of Central Siberia: Remote Sensing Data and Numerical Simulation

Tatiana Ponomareva, Kirill Yu Litvintsev, Konstantin A. Finnikov, Nikita D. Yakimov, Andrey Sentyabov, Evgenii Ponomarev

Summary: The study found that the thermal insulation properties of vegetation cover in post-fire areas are restored within 20 years, reaching background values, while in post-technogenic areas, the recovery of the thermal regime takes longer (>60 years) and the new industrial ecosystems exhibit unique thermal soil environments.

FORESTS (2021)

Article Forestry

Remote Sensing Assessment and Modeling of the Spatial Dynamics of Tree Stand Disturbance after the Impact of Siberian Silk Moth (Dendrolimus sibiricus)

Evgenii I. Ponomarev, Evgeny G. Shvetsov, Nikita D. Yakimov, Pavel D. Tretyakov, Andrey A. Goroshko, Svetlana M. Sultson, Pavel V. Mikhaylov

Summary: In this study, the disturbance of tree stands by the Siberian Silk Moth in Central Siberia from 2015 to 2020 was analyzed. Satellite data, field forest inventory data, meteorological data, and vegetation cover vector layer were used. Silk moth-disturbed areas were classified using NDVI, and the temporal dynamics of the disturbed area were described. The degree of disturbance of the forest stand after silk moth impact was classified based on NDVI anomalies. Regression equations were used to predict the degree of impact on the stand during silk moth outbreaks.

FORESTS (2023)

Proceedings Paper Geography, Physical

EVALUATING APPROACHES RELATING ECOSYSTEM PRODUCTIVITY WITH DESIS SPECTRAL INFORMATION

K. F. Huemmrich, P. E. K. Campbell, D. J. Harding, K. J. Ranson, R. Wynne, V Thomas, E. M. Middleton

Summary: This study successfully developed and tested multiple algorithms using data from the DLR Earth Sensing Imaging Spectrometer (DESIS) to remotely retrieve ecosystem productivity based on spectral reflectance. The algorithms demonstrated good accuracy across different locations, years, and times of observation.

1ST DESIS USER WORKSHOP - IMAGING SPECTROMETER SPACE MISSION, CALIBRATION AND VALIDATION, APPLICATIONS, METHODS (2022)

Article Ecology

Classification of Fire Damage to Boreal Forests of Siberia in 2021 Based on the dNBR Index

Evgenii Ponomarev, Andrey Zabrodin, Tatiana Ponomareva

Summary: Wildfires in Siberia have a significant impact on carbon budgets due to post-fire mortality of tree stands. This study analyzed the impact of fire on different vegetation types and dominant tree species in eastern Siberia using remote sensing data. The findings show that the proportion of severe fires varies across different forest types, with a current estimate of stand-replacement fires at 12-33% in 2021. The study also quantified the area of unaffected vegetation in the region, which was around 700 thousand hectares in 2021.

FIRE-SWITZERLAND (2022)

Proceedings Paper Environmental Sciences

Remote sensing data for assessing the equivalent water height (EWH) variety versus the level of forest disturbance in Central Siberia

Konstantin Krasnoshchekov, Alexander Dergunov, Evgenii Ponomarev

REGIONAL PROBLEMS OF EARTH REMOTE SENSING (RPERS 2020) (2020)

Article Ecology

Postfire Effects in Siberian Larch Stands on Multispectral Satellite Data

E. G. Shvetsov, E. I. Ponomarev

CONTEMPORARY PROBLEMS OF ECOLOGY (2020)

Proceedings Paper Geosciences, Multidisciplinary

LANDRS: A VIRTUAL CONSTELLATION SIMULATOR FOR INSAR, LIDAR WAVEFORM AND STEREO IMAGERY OVER MOUNTAINOUS FOREST LANDSCAPES

Wenjian Ni, Guoqing Sun, Kenneth Jon Ranson, Paul Montesano, Qinhuo Liu, Zengyuan Li, Vyacheslav I. Kharuk, Zhiyu Zhang

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

Proceedings Paper Geosciences, Multidisciplinary

Forest dielectric characteristics for navigation satellites signals in L 1 range

Anatoly Sorokin, Vladimir Podoprigora, Evgenii Ponomarev

REGIONAL PROBLEMS OF EARTH REMOTE SENSING (RPERS 2018) (2019)

暂无数据