4.5 Article

On the comparative importance of fire danger rating indices and their integration with spatial and temporal variables for predicting daily human-caused fire occurrences in Spain

Journal

INTERNATIONAL JOURNAL OF WILDLAND FIRE
Volume 20, Issue 1, Pages 46-58

Publisher

CSIRO PUBLISHING
DOI: 10.1071/WF09139

Keywords

fire risk; fire weather; human factors; logistic regression; regional analysis; validation

Categories

Funding

  1. Parc Cientific i Tecnologic Agroalimentari de Lleida
  2. Spanish Ministry of Environment

Ask authors/readers for more resources

Human-caused forest fires are common in Mediterranean countries. Forest fire management agencies customarily estimate daily fire loads by using meteorological fire danger rating indices, based on variables registered daily by weather stations. This paper is focussed on the evaluation of the relative performance of a comprehensive set of commonly used fire weather indices by developing holistic daily fire occurrence models in Spain involving also other topographic, fuel and human-related geographic factors. The data consisted of historical records of daily fire occurrences, daily weather data and geographic characteristics for the peninsular territory of Spain in a 10-km-spatial resolution grid, for the period from 2002 to 2005. The prediction units were 10 x 10-km-grid cells but in order to take into account the spatial variation in relationships between explanatory variables and historical occurrences, Spain was divided into 53 ecoregions and a logistic regression model was developed for each one of these regions. The explanatory variables included in the models illustrated which weather and geographic factors primarily affected daily human-caused fires in the ecoregions. The validation of the estimated ignition probabilities with the fire occurrences registered during 2005, reserved for independently testing the model's predictive capability, resulted in values of total percentage correctly predicted varying from 47.4 to 82.6%.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Agronomy

Identifying large fire weather typologies in the Iberian Peninsula

Marcos Rodrigues, Ricardo M. Trigo, Cristina Vega-Garcia, Adrian Cardil

AGRICULTURAL AND FOREST METEOROLOGY (2020)

Article Public, Environmental & Occupational Health

Geospatial Modeling of Containment Probability for Escaped Wildfires in a Mediterranean Region

Marcos Rodrigues, Fermin Alcasena, Pere Gelabert, Cristina Vega-Garcia

RISK ANALYSIS (2020)

Article Forestry

Stem selection reduces the resprouting vigor of box-tree (Buxus sempervirens L.) understory in sub-Mediterranean pine forest

Iris Pilar Monfort-Bague, Cristina Vega-Garcia, Jordi Jurguens, Anna Teixido, Pere Casals

EUROPEAN JOURNAL OF FOREST RESEARCH (2020)

Article Environmental Sciences

Has COVID-19 halted winter-spring wildfires in the Mediterranean? Insights for wildfire science under a pandemic context

Marcos Rodrigues, Pere J. Gelabert, Aitor Ameztegui, Lluis Coll, Cristina Vega-Garcia

Summary: Wildfires in the Mediterranean are strongly linked to human activities, with the COVID-19 pandemic leading to a significant decrease in fire activity during lockdown periods. This highlights the importance of considering social factors in the analysis of current and future wildfire impacts in the region.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Letter Environmental Sciences

Response to 'Letter to the editor regarding Rodrigues et al. 2020: Is COVID-19 halting wildfires in the Mediterranean? Insights for wildfire science under a pandemic context'

Marcos Rodrigues, Pere J. Gelabert, Aitor Ameztegui, Lluis Coll, Cristina Vega-Garcia

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Economics

Resilient landscapes to prevent catastrophic forest fires: Socioeconomic insights towards a new paradigm

Sven Wunder, Dave E. Calkin, Val Charlton, Sarah Feder, Inazio Martinez de Arano, Peter Moore, Francisco Rodriguez y Silva, Luca Tacconi, Cristina Vega-Garcia

Summary: The passage emphasizes the threat of extreme wildfires globally, pointing out that traditional fire suppression strategies are no longer effective and highlights the need to develop integrated fire management methods to address the root causes of extreme fires.

FOREST POLICY AND ECONOMICS (2021)

Article Environmental Sciences

LandTrendr smoothed spectral profiles enhance woody encroachment monitoring

P. J. Gelabert, M. Rodrigues, J. de la Riva, A. Ameztegui, M. T. Sebasti, C. Vega-Garcia

Summary: This study models and monitors the spatial evolution of secondary succession in semi-natural grassland communities in the Pyrenees in Spain over 36 years. Results show that approximately 66% of the area is affected by secondary succession, with significant expansion of woodlands.

REMOTE SENSING OF ENVIRONMENT (2021)

Article Environmental Sciences

Convergence in critical fuel moisture and fire weather thresholds associated with fire activity in the pyroregions of Mediterranean Europe

Victor Resco de Dios, Angel Cunill Camprubi, Nuria Perez-Zanon, Juan Carlos Pena, Edurne Martinez del Castillo, Marcos Rodrigues, Yinan Yao, Marta Yebra, Cristina Vega-Garcia, Matthias M. Boer

Summary: There has been substantial progress towards understanding the proximal causes of increased fire activity at regional and national scales. Subcontinental scale examinations of the commonalities and differences in the drivers of fire activity in the Mediterranean zone of the European Union are rare.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Environmental Sciences

Spatial Prioritization for Wildfire Mitigation by Integrating Heterogeneous Spatial Data: A New Multi-Dimensional Approach for Tropical Rainforests

Anjar Dimara Sakti, Adam Irwansyah Fauzi, Wataru Takeuchi, Biswajeet Pradhan, Masaru Yarime, Cristina Vega-Garcia, Elprida Agustina, Dionisius Wibisono, Tania Septi Anggraini, Megawati Oktaviani Theodora, Desi Ramadhanti, Miqdad Fadhil Muhammad, Muhammad Aufaristama, Agung Mahadi Putra Perdana, Ketut Wikantika

Summary: This study used a multi-dimensional approach to identify priority areas for wildfire mitigation in Indonesia. Through the integration of various parameters and data, the study developed a priority model and assessed the historical and legal aspects of the identified areas. The results showed that the high-priority areas are mainly located in Sumatra, Kalimantan, and North Maluku, and a certain percentage of these areas have experienced deforestation caused by wildfires in the past decade.

REMOTE SENSING (2022)

Article Green & Sustainable Science & Technology

Stand Structure and Local Landscape Variables Are the Dominant Factors Explaining Shrub and Tree Diversity in Mediterranean Forests

Siba Ghadban, Aitor Ameztegui, Marcos Rodrigues, Cristina Chocarro, Fermin Alcasena, Cristina Vega-Garcia

Summary: Plant diversity is crucial for forests and is influenced by forest structure and local landscape patterns, rather than forest interventions. To enhance plant diversity in forest landscapes, management practices should focus on promoting diameter variety, presence of large trees, tree cover, variation in tree and shrub height, and a heterogeneous local landscape. More research is needed for cork oak and black pine forests compared to Aleppo pine and Scots pine forests.

SUSTAINABILITY (2021)

Article Geosciences, Multidisciplinary

Recent land cover trends in the transition region of Tiaret, Algeria

Yasmina Amrouni, Mohammed Berrayah, Pere Gelabert, Cristina Vega-Garcia, Benchaben Hellal, Marcos Rodrigues

Summary: The goal of this study was to assess the best monitoring tools for the current and future situations by reconstructing past annual land cover changes. Using Landsat images and a classification algorithm, high-resolution land cover maps for the period of 1984-2017 were obtained, accurately characterizing the dynamics and status of the transition zone in the Tiaret region.

CATENA (2022)

Article Engineering, Industrial

Integrating geospatial wildfire models to delineate landscape management zones and inform decision-making in Mediterranean areas

Marcos Rodrigues, Maria Zuniga-Anton, Fermin Alcasena, Pere Gelabert, Cristina Vega-Garcia

Summary: This study develops a framework for wildfire management zone delineation, which can inform decision-making in fire-prone Mediterranean landscapes. The framework integrates multiple efforts to minimize wildfire occurrences and spread, and prevent losses. The results are presented in maps to assist in designing risk management plans and raising social awareness.

SAFETY SCIENCE (2022)

Article Environmental Studies

Fostering Carbon Credits to Finance Wildfire Risk Reduction Forest Management in Mediterranean Landscapes

Fermin Alcasena, Marcos Rodrigues, Pere Gelabert, Alan Ager, Michele Salis, Aitor Ameztegui, Teresa Cervera, Cristina Vega-Garcia

Summary: Despite the lack of understanding, this study estimated carbon emissions and credits from ongoing fuel management projects in Catalonia, Spain. Results showed that fuel treatments in high emission hotspots could potentially finance a significant portion of treatment implementation costs, showcasing the importance of considering stand conditions, fire regimes, and treatment costs in determining cost-efficiency and carbon-sink capacity for wildfire risk management programs in Mediterranean forest systems.
Article Geosciences, Multidisciplinary

Development of a standard database of reference sites for validating global burned area products

Magi Franquesa, Melanie K. Vanderhoof, Dimitris Stavrakoudis, Ioannis Z. Gitas, Ekhi Roteta, Marc Padilla, Emilio Chuvieco

EARTH SYSTEM SCIENCE DATA (2020)

Article Geography, Physical

Forest fire risk assessment and multifunctional fuel treatment prioritization methods in Mediterranean landscapes

F. J. Alcasena-Urdiroz, C. Vega-Garcia, A. A. Ager, M. Salis, N. J. Nauslar, F. J. Mendizabal, R. Castell

CUADERNOS DE INVESTIGACION GEOGRAFICA (2019)

No Data Available