Developing wildfire risk probability models for Eucalyptus globulus stands in Portugal
B Botequim (1) , J Garcia-Gonzalo (1), S Marques (1), A Ricardo (1), JG Borges (1), M Tomé (1), MM Oliveira (2)
iForest - Biogeosciences and Forestry, Volume 6, Issue 4, Pages 217-227 (2013)
doi: https://doi.org/10.3832/ifor0821-006
Published: May 27, 2013 - Copyright © 2013 SISEF
Research Articles
Abstract
This paper presents a model to predict annual wildfire risk in pure and even-aged eucalypt stands in Portugal. Emphasis was in developing a management-oriented model, i.e., a model that might both: (a) help assess wildfire occurrence probability as a function of readily available forest inventory data; and (b) help predict the effects of management options (e.g., silvicultural treatments) on the risk of fire in eucalypt stands. Data from both the 1995/1998 and the 2005/2006 Portuguese National Forest Inventories as well as wildfire perimeters’ data were used for modeling purposes. Specifically, this research considered 1122 inventory plots with approximately 1.2 million trees and 85 wildfire perimeters. The model to predict the probability of wildfire occurrence is a logistic function of measurable and controllable biometric and environmental variables. Results showed that wildfire occurrence probability in a stand increases with the ratio basal area/quadratic mean diameter and with the shrubs biomass load, while it decreases with stand dominant height. They further showed that the probability of wildfire occurrence is higher in stands that are over 1 Km distant from roads. These results are instrumental for assessing the impact of forest management options on wildfire risk levels thus helping forest managers develop plans that may mitigate wildfire impacts.
Keywords
Forest Fires, Forest Management, Eucalyptus globulus Labill, Annual Wildfire Risk Model
Authors’ Info
Authors’ address
J Garcia-Gonzalo
S Marques
A Ricardo
JG Borges
M Tomé
Forest Research Centre, School of Agriculture, Departamento de Recursos Naturais, Ambiente e Território, Technical University of Lisbon, tapada da Ajuda, P-1349-017 Lisboa (Portugal)
Research Centre in Mathematics and Applications, Colégio Luís Verney, University of Évora, rua Romão Ramanho 59, P-7000-671 Évora (Portugal)
Corresponding author
Paper Info
Citation
Botequim B, Garcia-Gonzalo J, Marques S, Ricardo A, Borges JG, Tomé M, Oliveira MM (2013). Developing wildfire risk probability models for Eucalyptus globulus stands in Portugal. iForest 6: 217-227. - doi: 10.3832/ifor0821-006
Academic Editor
Marco Borghetti
Paper history
Received: Oct 12, 2012
Accepted: Mar 18, 2013
First online: May 27, 2013
Publication Date: Aug 01, 2013
Publication Time: 2.33 months
Copyright Information
© SISEF - The Italian Society of Silviculture and Forest Ecology 2013
Open Access
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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References
Eucalyptus fuel dynamics, and fire hazard in the Oakland Hills. California Agriculture, 13-15 September 1973, CA, USA.
Gscholar
Development of a shrub growth model in understory conditions (preliminary model), Technical Report 7, FORCHANGE, Instituto Superior de Agronomia, Lisboa, Portugal.
Gscholar
Model selection and multi model inference: a practical information-theoretic approach. Springer, New York, USA.
Gscholar
Estimating dbh from stump diameter from 15 southern species. USDA Forest Service Research, New Orleans, LA, USA, vol. 286, pp. 1-3.
Gscholar
An inductive fire risk map for Portugal. In: Proceedings of the “5 International Conference on Forest Fire Research” (DX Viegas ed). Figueira da Foz (Portugal) 27-30 November 2006. Associação para o Desenvolvimento da Aerodin’mica Industrial, ADAI, Coimbra, Portugal. [CD-ROM]
Gscholar
Characterizing and modelling the spatial patterns of wildfire ignitions in Portugal: fire ignitions and resulting burned area. In: “ Modelling, monitoring and management of forest fires” (De La Heras J, Brebbia CA, Viegas D, Leone V eds). WIT Transactions on Ecology and the Environment 199: 213-221.
CrossRef | Gscholar
The impact of intensive forest management on fire protection with special regard to plantations of eucalypts. Prepared for the 11 Commonwealth Forestry Conference, Canberra, Australia.
Gscholar
Modeling the likelihood of crown fire occurrence in conifer forest stands. Forest Science 50 (5): 640-658.
Gscholar
The effect of fire on tree health and growth. Technical Paper no. 13, New South Wales Forest Commission, Sidney, Australia, pp. 21-35.
Gscholar
Estratégia nacional para as Florestas, Direcção-Geral dos Recursos Florestais, Lisboa, Portugal, pp. 189. [In Portuguese]
Gscholar
Análise da evolução do comércio externo de produtos florestais. Boletim de Informação. Direcção-Geral dos Recursos Florestais, Lisboa, Portugal, pp. 21. [In Portuguese]
Gscholar
Estimación del diámetro normal y del volumen del tronco a partir de las dimensiones del tocón para seis especies forestales comerciales de Galicia. Investigación Agraria - Sistemas y Recursos Florestales 12 (2): 131-139. [In Spanish]
Gscholar
A piroecologia do Pinheiro bravo. Silva Lusitana 13 (2): 233-248. [In Portuguese]
Gscholar
Fuel modelling and fire hazard assessment based on data from Portugal National Inventory. In: Proceedings of the “International Conference on Forest Fire Research” (Viegas X ed). ADAI, Figueira da Foz, Portugal.
Gscholar
Fuels and fire hazard in Blue Gum (Eucalyptus globulus) stands in Portugal. Boletín del CIDEU 10: 53-61.
Gscholar
A stochastic approach to optimize Maritime pine (Pinus pinaster Ait.) stand management scheduling under fire risk. An application in Portugal. Annals of Operations Research. [in press].
Gscholar
Mechanistic Modelling of landscape fire patterns. In: “Spatial Modelling of Forest Landscape Change: Approaches and Applications” (Mladenoff DJ, Baker WL eds), Cambridge University Press, Cambridge, UK, pp. 186-209.
Gscholar
Modelação do Crescimento e da Produção de Pinha no Pinheiro Manso. Dissertação de Doutoramento em Engenharia Florestal. Instituto Superior de Agronomia, UTL, Lisboa, Portugal. [in Portuguese]
Gscholar
Modelling wildfire risk in pure and mixed forest stands in Portugal. Allgemeine Forst und Jagdzeitung (AFJZ) - German Journal of Forest Research 183 (11/12): 238-248.
Gscholar
Carta da tipologia florestal de Portugal continental. Silva Lusitana 13: 1-34. [in Portuguese]
Gscholar
The effects of thinning and similar stand treatments on fire behavior in western Forests. General Technical Report PNW-GTR-463, USDA Forest Service, Portland, OR, USA.
Gscholar
Science basis for changing forest structure to modify wildfire behavior and severity. USDA Forest Service, Fort Collins, CO, USA, pp. 43.
Gscholar
Applied logistic regression (2 edn). Probability and Mathematical Statistics, vol. 452, Wiley Series, New York, USA, pp. 307.
Gscholar
IFN6 - Áreas dos usos do solo e das espécies florestais de Portugal continental. Resultados preliminares. Instituto da Conservação da Natureza e das Florestas, Lisboa, Portugal, pp. 34. [in Portuguese]
Gscholar
Transição florestal e fogo em Portugal. In: “Incêndios florestais em Portugal: caracterização, impactes e prevenção” (Pereira JS, Pereira JMC, Rego F, Silva JMN, Silva TP eds). ISA Press, Lisboa, Portugal, pp. 257-282. [in Portuguese]
Gscholar
Control burning in eucalypt forests. Leaflet no. 80, Commonwealth of Australia Forest and Timber Bureau, Canberra, ACT, Australia.
Gscholar
Fire behaviour in eucalypt forests. Leaflet no. 107, Commonwealth of Australia Forest and Timber Bureau, Canberra, ACT, Australia.
Gscholar
Predicting tree dbh from stump measurements in the southeast. Research Note SE-99, USDA Forest Service, USA, pp. 4.
Gscholar
Classical and modern regression with applications. PWS-Kent Publishing, Boston, MS, USA, pp. 488.
Gscholar
Forest fires: trends and implications in desertification prone areas of Southern Europe. In: “Mediterranean desertification: research results and policy implications” (Balabanis P, Peter D, Ghazi A, Tsogas M eds). DG Research, European Commission, Brussels, Belgium, pp. 115-150.
Gscholar
Effectiveness of thinning and prescribed fire in reducing wildfire severity . In: Proceedings of the Sierra Nevada Science Symposium: “Science for Management and conservation” (Murphy DD, Stine PA ed). General Technical Report PSW-193, USDA Forest Service, Albany, CA, USA, pp. 87-92.
Gscholar
A fire danger rating and controlled burning guide for the northern Jarrah (E. marginata) forest of western Australia. Bulletin No. 74, Forests Department of Western Australia, Perth, WA, Australia.
Gscholar
Fire risk and burned area mapping in Portugal. Direcção Geral das Florestas, Lisboa, Portugal.
Gscholar
Alguns conceitos básicos sobre fogos rurais em Portugal. In: “Incêndios Florestais em Portugal” (Pereira JS, Pereira JMC, Rego FC, Silva JMN, SilvaTP eds). ISAPress, Lisboa, Portugal, pp. 133-161. [in Portuguese]
Gscholar
Forests and biodiversity. In: “Climate Change in Portugal. Scenarios, Impacts and Adaptation Measures” (Santos FD, Forbes K, Moita R eds). Gradiva, Lisboa, Portugal, pp. 369-413.
Gscholar
Forest structure and fire hazard in dry forests of the western United States. General Techical Report PNW-GTR-628, Pacific Northwest Research Station, USDA Forest Service, Portland, OR, USA, pp. 30.
Gscholar
Land use change and wildfires. In: “Responses of forest ecosystems to environmental changes”(Teller A, Mathy P, Jeffers JNR eds). Elsevier Applied Science, London, UK, pp. 367-373.
Gscholar
How to predict the spread and intensity of forest and range fires. General Technical Report INT-143, Intermountain Forest and Range Experiment Station, USDA Forest Service, Ogden, UT, USA.
Gscholar
How to predict the spread and intensity of forest and range fires. GTR-INT-143, USDA Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, USA, pp. 161.
Gscholar
Landscape disturbance in Mediterranean ecosystems: an overview. In: “Landscape disturbance and biodiversity in Mediterrean-type ecosystems” (Rundel PW, Monenegro G, Jaksic FM eds). Springer-Verlag, Berlin, Germany, pp. 3-22.
Gscholar
SAS/STAT User’s Guide (version 8 edition). SAS Institute Inc., Cary, NC, USA.
Gscholar
Development of coarse-scale spatial data for wildland fire and fuel management. General Technical Report RMRS-GTR-87, Rocky Mountain Research Station, USDA Forest Service, Fort Collins, CO, USA, pp. 41.
Gscholar
O modelo GLOBULUS 3.0. Dados e equações. Relatórios Técnico-Científicos do GIMREF, nº2/2006, Dep. Engenharia Florestal, Instituto Superior de Agronomia, Universidade Técnica de Lisboa, Lisboa, Portugal. [in Portuguese]
Gscholar
Relações hipsométricas e equações de di’metro da copa desenvolvidas no ’mbito do tratamento dos dados do Inventário Florestal Nacional 2005-2006, Publicações GIMREF, RT 3/2007, Universidade Técnica de Lisboa, Instituto Superior de Agronomia, Centro de Estudos Florestais, Lisboa, Portugal. [in Portuguese]
Gscholar
Spatial prediction of fire ignition probabilities: comparing logistic regression and neural networks. Photogrammetric Engineering and Remote Sensing 67 (1): 73-81.
Gscholar