IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v97y2019i1d10.1007_s11069-019-03642-z.html
   My bibliography  Save this article

Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia

Author

Listed:
  • Andrey N. Shikhov

    (Perm State University)

  • Ekaterina S. Perminova

    (SCANEX Group)

  • Sergey I. Perminov

    (SCANEX Group)

Abstract

Large-scale wildfires and windstorms are the most important disturbance agents for the Russian boreal forests. The paper presents an assessment of fire-related and wind-induced forest losses in the Ural region of Russia for 2000‒2014. The assessment is based on the use of Landsat images, Global Forest Change dataset (Hansen et al. in Science 342:850–853, 2013. https://doi.org/10.1126/science.1244693 ) and other space imagery data. The total area of stand-replacement fires and windthrows in the Ural’s forests was estimated at 1.637 million ha, which is 1.56% of the total forest-covered area. The contribution of wildfires and windthrows is 96.4% and 3.6%, respectively. The highest frequency of large-scale wildfires was observed behind the Northern Ural ridge, where the fire scars of 2000‒2014 covered 10–14% of the forested area. The storm-related forest damage is significant only on the western part of the Ural. A few catastrophic wildfires and windthrows (with an area > 5000 ha) make up 35% of the entire damaged area. The number of wildfires, windthrows and their damaged area vary significantly from year to year. For 2000–2014, it is impossible to find a statistically significant trend of the fire- and storm-damaged area. The seasonal maximum of large-scale wildfires and windthrows was observed in July. Also, we identified the statistically significant relationships of fire- and wind-related forest damage with environmental variables. The occurrence of large-scale wildfires is related mainly to the species composition of forests, and also to the altitude, the mean annual precipitation and the population density. The spatial distribution of massive windthrows has a strong correlation with the species composition of forests, the mean annual precipitation and partially with the wind effect parameter.

Suggested Citation

  • Andrey N. Shikhov & Ekaterina S. Perminova & Sergey I. Perminov, 2019. "Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(1), pages 283-308, May.
    • Handle: RePEc:spr:nathaz:v:97:y:2019:i:1:d:10.1007_s11069-019-03642-z
    DOI: 10.1007/s11069-019-03642-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-019-03642-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-019-03642-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rupert Seidl & Mart-Jan Schelhaas & Werner Rammer & Pieter Johannes Verkerk, 2014. "Increasing forest disturbances in Europe and their impact on carbon storage," Nature Climate Change, Nature, vol. 4(9), pages 806-810, September.
    2. Chuvieco, Emilio & Aguado, Inmaculada & Yebra, Marta & Nieto, Héctor & Salas, Javier & Martín, M. Pilar & Vilar, Lara & Martínez, Javier & Martín, Susana & Ibarra, Paloma & de la Riva, Juan & Baeza, J, 2010. "Development of a framework for fire risk assessment using remote sensing and geographic information system technologies," Ecological Modelling, Elsevier, vol. 221(1), pages 46-58.
    3. Rupert Seidl & Mart-Jan Schelhaas & Werner Rammer & Pieter Johannes Verkerk, 2014. "Correction: Corrigendum: Increasing forest disturbances in Europe and their impact on carbon storage," Nature Climate Change, Nature, vol. 4(10), pages 930-930, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hatice Oncel Cekim & Coşkun Okan Güney & Özdemir Şentürk & Gamze Özel & Kürşad Özkan, 2021. "A novel approach for predicting burned forest area," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 2187-2201, January.
    2. Oriol Rodríguez & Joan Bech, 2020. "Reanalysing strong-convective wind damage paths using high-resolution aerial images," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 1021-1038, October.
    3. Nikolay Baranovskiy & Aleksey Malinin, 2020. "Mathematical Simulation of Forest Fire Impact on Industrial Facilities and Wood-Based Buildings," Sustainability, MDPI, vol. 12(13), pages 1-24, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2022. "Ambiguity, value of information and forest rotation decision under storm risk," Working Papers of BETA 2022-26, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Thomas, J. & Brunette, M. & Leblois, A., 2022. "The determinants of adapting forest management practices to climate change: Lessons from a survey of French private forest owners," Forest Policy and Economics, Elsevier, vol. 135(C).
    3. Julie Thomas & Marielle Brunette & Antoine Leblois, 2021. "Adapting forest management practices to climate change : Lessons from a survey of French private forest owners," Working Papers hal-03142772, HAL.
    4. Jarisch, Isabelle & Bödeker, Kai & Bingham, Logan Robert & Friedrich, Stefan & Kindu, Mengistie & Knoke, Thomas, 2022. "The influence of discounting ecosystem services in robust multi-objective optimization – An application to a forestry-avocado land-use portfolio," Forest Policy and Economics, Elsevier, vol. 141(C).
    5. Kateřina Novosadová & Jiří Kadlec & Petr Sýkora & Martin Kománek & Radek Pokorný, 2024. "Evaluation of the effect of different thinning types on dendrometric parameters and subsequent spontaneous growth in a beech-oak-linden stand," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 70(6), pages 299-316.
    6. repec:caa:jnljfs:v:preprint:id:10-2024-jfs is not listed on IDEAS
    7. Giovanni B. Concu & Claudio Detotto & Marco Vannini, 2021. "Drivers of intentions and drivers of actions: willingness toparticipate versus actual participation in fire management inSardinia, Italy," Working Papers 018, Laboratoire Lieux, Identités, eSpaces et Activités (LISA).
    8. Ali Jahani & Maryam Saffariha, 2022. "Tree failure prediction model (TFPM): machine learning techniques comparison in failure hazard assessment of Platanus orientalis in urban forestry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 881-898, January.
    9. Ping, Jiaye & Zhou, Jian & Huang, Kun & Sun, Xiaoying & Sun, Huanfa & Xia, Jianyang, 2021. "Modeling the typhoon disturbance effect on ecosystem carbon storage dynamics in a subtropical forest of China's coastal region," Ecological Modelling, Elsevier, vol. 455(C).
    10. Raymundo Marcos-Martinez & José J. Sánchez & Lorie Srivastava & Natthanij Soonsawad & Dominique Bachelet, 2022. "Valuing the Impact of Forest Disturbances on the Climate Regulation Service of Western U.S. Forests," Sustainability, MDPI, vol. 14(2), pages 1-12, January.
    11. Debojyoti Chakraborty & Albert Ciceu & Dalibor Ballian & Marta Benito Garzón & Andreas Bolte & Gregor Bozic & Rafael Buchacher & Jaroslav Čepl & Eva Cremer & Alexis Ducousso & Julian Gaviria & Jan Pet, 2024. "Assisted tree migration can preserve the European forest carbon sink under climate change," Nature Climate Change, Nature, vol. 14(8), pages 845-852, August.
    12. Juutinen, Artti & Haeler, Elena & Jandl, Robert & Kuhlmey, Katharina & Kurttila, Mikko & Mäkipää, Raisa & Pohjanmies, Tähti & Rosenkranz, Lydia & Skudnik, Mitja & Triplat, Matevž & Tolvanen, Anne & Vi, 2022. "Common preferences of European small-scale forest owners towards contract-based management," Forest Policy and Economics, Elsevier, vol. 144(C).
    13. Gianfranco Fabbio & Paolo Cantiani & Fabrizio Ferretti & Umberto Di Salvatore & Giada Bertini & Claudia Becagli & Ugo Chiavetta & Maurizio Marchi & Luca Salvati, 2018. "Sustainable Land Management, Adaptive Silviculture, and New Forest Challenges: Evidence from a Latitudinal Gradient in Italy," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    14. Petri P. Karenlampi, 2023. "Disturbance Effects on Financial Timberland Returns in Austria," Papers 2305.00887, arXiv.org.
    15. Lars Högbom & Dalia Abbas & Kęstutis Armolaitis & Endijs Baders & Martyn Futter & Aris Jansons & Kalev Jõgiste & Andis Lazdins & Diana Lukminė & Mika Mustonen & Knut Øistad & Anneli Poska & Pasi Rauti, 2021. "Trilemma of Nordic–Baltic Forestry—How to Implement UN Sustainable Development Goals," Sustainability, MDPI, vol. 13(10), pages 1-12, May.
    16. Honkaniemi, Juha & Ojansuu, Risto & Kasanen, Risto & Heliövaara, Kari, 2018. "Interaction of disturbance agents on Norway spruce: A mechanistic model of bark beetle dynamics integrated in simulation framework WINDROT," Ecological Modelling, Elsevier, vol. 388(C), pages 45-60.
    17. Nives Grasso & Andrea Maria Lingua & Maria Angela Musci & Francesca Noardo & Marco Piras, 2018. "An INSPIRE-compliant open-source GIS for fire-fighting management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(2), pages 623-637, January.
    18. Yongcui Lan & Jinliang Wang & Wenying Hu & Eldar Kurbanov & Janine Cole & Jinming Sha & Yuanmei Jiao & Jingchun Zhou, 2023. "Spatial pattern prediction of forest wildfire susceptibility in Central Yunnan Province, China based on multivariate data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 565-586, March.
    19. Yang Zhang & Samsung Lim & Jason John Sharples, 2017. "Wildfire occurrence patterns in ecoregions of New South Wales and Australian Capital Territory, Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 415-435, May.
    20. José Ramón Rodríguez‐Pérez & Celestino Ordóñez & Javier Roca‐Pardiñas & Daniel Vecín‐Arias & Fernando Castedo‐Dorado, 2020. "Evaluating Lightning‐Caused Fire Occurrence Using Spatial Generalized Additive Models: A Case Study in Central Spain," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1418-1437, July.
    21. Abolfazl Jaafari & Omid Rahmati & Eric K. Zenner & Davood Mafi-Gholami, 2022. "Anthropogenic activities amplify wildfire occurrence in the Zagros eco-region of western Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 457-473, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:97:y:2019:i:1:d:10.1007_s11069-019-03642-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.