Next Article in Journal
Geopolymer Composites for Potential Applications in Cultural Heritage
Next Article in Special Issue
Urban Land Allocation Model of Territorial Expansion by Urban Planners and Housing Developers
Previous Article in Journal
Addition of WEEE Glass to Metakaolin-Based Geopolymeric Binder: A Cytotoxicity Study
Previous Article in Special Issue
What Do Users Really Need? Participatory Development of Decision Support Tools for Environmental Management Based on Outcomes
Article Menu
Issue 4 (December) cover image

Export Article

Open AccessArticle
Environments 2017, 4(4), 90;

Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain)

Complutum Tecnologías de la Información Geográfica (COMPLUTIG) S.L, University of Alcala, Calle Colegios, 2, 28801 Alcalá de Henares, Spain
Department of Geology, Geography and Environment, University of Alcala, 28801 Alcalá de Henares, Spain
Author to whom correspondence should be addressed.
Received: 11 October 2017 / Revised: 6 December 2017 / Accepted: 10 December 2017 / Published: 12 December 2017
(This article belongs to the Special Issue Sustainable Territorial Management)
Full-Text   |   PDF [8492 KB, uploaded 12 December 2017]   |  


Wildfires cause disturbances in ecosystems and generate environmental, economic, and social costs. Studies focused on vegetation regeneration in burned areas acquire interest because of the need to understand the species dynamics and to apply an adequate restoration policy. In this work we intend to study the variables that condition short-term regeneration (5 years) of three species of the genus Pinus in the Mediterranean region of the Iberian Peninsula. Regeneration modelling has been performed through multiple regressions, using Ordinary Least Squares (OLS) and Geographic Weight Regression (GWR). The variables used were fire severity, measured through the Composite Burn Index (CBI), and a set of environmental variables (topography, post-fire climate, vegetation type, and state after fire). The regeneration dynamics were measured through the Normalized Difference Vegetation Index (NDVI) obtained from Landsat images. The relationship between fire severity and regeneration dynamics showed consistent results. Short-term regeneration was slowed down when severity was higher. The models generated by GWR showed better results in comparison with OLS (adjusted R2 = 0.77 for Pinus nigra and Pinus pinaster; adjusted R2 = 0.80 for Pinus halepensis). Further studies should focus on obtaining more precise variables and considering new factors which help to better explain post-fire vegetation recovery. View Full-Text
Keywords: post-fire regeneration; remote sensing; GIS; burn severity; environmental variables post-fire regeneration; remote sensing; GIS; burn severity; environmental variables

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Printed Edition Available!
A printed edition of this Special Issue is available here.

Share & Cite This Article

MDPI and ACS Style

Viana-Soto, A.; Aguado, I.; Martínez, S. Assessment of Post-Fire Vegetation Recovery Using Fire Severity and Geographical Data in the Mediterranean Region (Spain). Environments 2017, 4, 90.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Environments EISSN 2076-3298 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top