Literature DB >> 26922502

Mapping regional patterns of large forest fires in Wildland-Urban Interface areas in Europe.

Sirio Modugno1, Heiko Balzter2, Beth Cole3, Pasquale Borrelli4.   

Abstract

Over recent decades, Land Use and Cover Change (LUCC) trends in many regions of Europe have reconfigured the landscape structures around many urban areas. In these areas, the proximity to landscape elements with high forest fuels has increased the fire risk to people and property. These Wildland-Urban Interface areas (WUI) can be defined as landscapes where anthropogenic urban land use and forest fuel mass come into contact. Mapping their extent is needed to prioritize fire risk control and inform local forest fire risk management strategies. This study proposes a method to map the extent and spatial patterns of the European WUI areas at continental scale. Using the European map of WUI areas, the hypothesis is tested that the distance from the nearest WUI area is related to the forest fire probability. Statistical relationships between the distance from the nearest WUI area, and large forest fire incidents from satellite remote sensing were subsequently modelled by logistic regression analysis. The first European scale map of the WUI extent and locations is presented. Country-specific positive and negative relationships of large fires and the proximity to the nearest WUI area are found. A regional-scale analysis shows a strong influence of the WUI zones on large fires in parts of the Mediterranean regions. Results indicate that the probability of large burned surfaces increases with diminishing WUI distance in touristic regions like Sardinia, Provence-Alpes-Côte d'Azur, or in regions with a strong peri-urban component as Catalunya, Comunidad de Madrid, Comunidad Valenciana. For the above regions, probability curves of large burned surfaces show statistical relationships (ROC value > 0.5) inside a 5000 m buffer of the nearest WUI. Wise land management can provide a valuable ecosystem service of fire risk reduction that is currently not explicitly included in ecosystem service valuations. The results re-emphasise the importance of including this ecosystem service in landscape valuations to account for the significant landscape function of reducing the risk of catastrophic large fires.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  CORINE; Forest fire risk; Land use/land cover change; Logistic regression; Spatial analysis; Wildland–Urban Interface

Mesh:

Year:  2016        PMID: 26922502     DOI: 10.1016/j.jenvman.2016.02.013

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  6 in total

1.  Assessing fire hazard potential and its main drivers in Mazandaran province, Iran: a data-driven approach.

Authors:  Hamed Adab; Azadeh Atabati; Sandra Oliveira; Ahmad Moghaddam Gheshlagh
Journal:  Environ Monit Assess       Date:  2018-10-24       Impact factor: 2.513

2.  Rapid growth of the US wildland-urban interface raises wildfire risk.

Authors:  Volker C Radeloff; David P Helmers; H Anu Kramer; Miranda H Mockrin; Patricia M Alexandre; Avi Bar-Massada; Van Butsic; Todd J Hawbaker; Sebastián Martinuzzi; Alexandra D Syphard; Susan I Stewart
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-12       Impact factor: 11.205

3.  Summary of Workshop Large Outdoor Fires and the Built Environment.

Authors:  Samuel L Manzello; Raphaele Blanchi; Michael J Gollner; Daniel Gorham; Sara McAllister; Elsa Pastor; Eulàlia Planas; Pedro Reszka; Sayaka Suzuki
Journal:  Fire Saf J       Date:  2018       Impact factor: 2.764

4.  Vulnerability of peri‑urban and residential areas to landscape fires in Greece: Evidence by wildland-urban interface data.

Authors:  Ioannis Mitsopoulos; Giorgos Mallinis; Alexandros Dimitrakopoulos; Gavriil Xanthopoulos; Giorgos Eftychidis; Johann Georg Goldammer
Journal:  Data Brief       Date:  2020-07-14

5.  Comprehensive Evaluation and Optimization Model of Regional Fire Protection Planning of Major Hazard Sources Based on Multiobjective Fuzzy Theory.

Authors:  Fujiang Chen; Junying Chen; Jingang Liu
Journal:  Comput Intell Neurosci       Date:  2022-02-11

6.  Remote Sensing of Wildland Fire-Induced Risk Assessment at the Community Level.

Authors:  M Razu Ahmed; Khan Rubayet Rahaman; Quazi K Hassan
Journal:  Sensors (Basel)       Date:  2018-05-15       Impact factor: 3.576

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.