Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model

Assessing impacts of management strategies may allow designing more resistant forests to wildfires. Planning-oriented models to predict the effect of stand structure and forest composition on mortality for supporting fire-smart management decisions, and allowing its inclusion in forest management op...

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Main Authors: Brigite Botequim, Manuel Arias-Rodil, Jordi Garcia-Gonzalo, Andreia Silva, Susete Marques, José G. Borges, Maria Manuela Oliveira, Margarida Tomé
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/9/3/390
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spelling doaj-e7a45418cd0d4cfe9bf56e273eefeda82020-11-24T22:51:21ZengMDPI AGSustainability2071-10502017-03-019339010.3390/su9030390su9030390Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented ModelBrigite Botequim0Manuel Arias-Rodil1Jordi Garcia-Gonzalo2Andreia Silva3Susete Marques4José G. Borges5Maria Manuela Oliveira6Margarida Tomé7Forest Research Center, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, PortugalUnidad de Gestión Forestal Sostenible (UXFS), Departamento de Ingeniería Agroforestal, Escuela Politécnica Superior Universidad de Santiago de Compostela, Campus Universitario, 27002 Lugo, SpainForest Research Center, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, PortugalForest Research Center, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, PortugalForest Research Center, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, PortugalForest Research Center, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, PortugalResearch Centre in Mathematics and Applications, Colégio Luís Verney, University of Évora, Rua Romão Ramanho, 59, 7000-671 Évora, PortugalForest Research Center, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, PortugalAssessing impacts of management strategies may allow designing more resistant forests to wildfires. Planning-oriented models to predict the effect of stand structure and forest composition on mortality for supporting fire-smart management decisions, and allowing its inclusion in forest management optimization systems were developed. Post-fire mortality was modeled as a function of measurable forest inventory data and projections over time in 165 pure and 76 mixed forest stands in Portugal, collected by the 5th National Forest Inventory plots (NFI) plus other sample plots from ForFireS project, intercepted within 2006–2008 wildfire perimeters’ data. Presence and tree survival were obtained by examining 2450 trees from 16 species one year after the wildfire occurrence. A set of logistic regression models were developed under a three-stage modeling system: firstly multiple fixed-effects at stand-level that comprises a sub-model to predict mortality from wildfire; and another for the proportion of dead trees on stands killed by fire. At tree-level due to the nested structure of the data analyzed (trees within stands), a mixed-effect model was developed to estimate mortality among trees in a fire event. The results imply that the variation of tree mortality decreases when tree diameter at breast height increases. Moreover, the relative mortality increases with stand density, higher altitude and steeper slopes. In the same conditions, conifers are more prone to die than eucalyptus and broadleaves. Pure stands of broadleaves exhibit noticeably higher fire resistance than mixed stands of broadleaves and others species composition.http://www.mdpi.com/2071-1050/9/3/390pre and post-fire management decision-makingpost-fire mortalitystand structureforest heterogeneityfire-adapted silviculture
collection DOAJ
language English
format Article
sources DOAJ
author Brigite Botequim
Manuel Arias-Rodil
Jordi Garcia-Gonzalo
Andreia Silva
Susete Marques
José G. Borges
Maria Manuela Oliveira
Margarida Tomé
spellingShingle Brigite Botequim
Manuel Arias-Rodil
Jordi Garcia-Gonzalo
Andreia Silva
Susete Marques
José G. Borges
Maria Manuela Oliveira
Margarida Tomé
Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model
Sustainability
pre and post-fire management decision-making
post-fire mortality
stand structure
forest heterogeneity
fire-adapted silviculture
author_facet Brigite Botequim
Manuel Arias-Rodil
Jordi Garcia-Gonzalo
Andreia Silva
Susete Marques
José G. Borges
Maria Manuela Oliveira
Margarida Tomé
author_sort Brigite Botequim
title Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model
title_short Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model
title_full Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model
title_fullStr Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model
title_full_unstemmed Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model
title_sort modeling post-fire mortality in pure and mixed forest stands in portugal—a forest planning-oriented model
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2017-03-01
description Assessing impacts of management strategies may allow designing more resistant forests to wildfires. Planning-oriented models to predict the effect of stand structure and forest composition on mortality for supporting fire-smart management decisions, and allowing its inclusion in forest management optimization systems were developed. Post-fire mortality was modeled as a function of measurable forest inventory data and projections over time in 165 pure and 76 mixed forest stands in Portugal, collected by the 5th National Forest Inventory plots (NFI) plus other sample plots from ForFireS project, intercepted within 2006–2008 wildfire perimeters’ data. Presence and tree survival were obtained by examining 2450 trees from 16 species one year after the wildfire occurrence. A set of logistic regression models were developed under a three-stage modeling system: firstly multiple fixed-effects at stand-level that comprises a sub-model to predict mortality from wildfire; and another for the proportion of dead trees on stands killed by fire. At tree-level due to the nested structure of the data analyzed (trees within stands), a mixed-effect model was developed to estimate mortality among trees in a fire event. The results imply that the variation of tree mortality decreases when tree diameter at breast height increases. Moreover, the relative mortality increases with stand density, higher altitude and steeper slopes. In the same conditions, conifers are more prone to die than eucalyptus and broadleaves. Pure stands of broadleaves exhibit noticeably higher fire resistance than mixed stands of broadleaves and others species composition.
topic pre and post-fire management decision-making
post-fire mortality
stand structure
forest heterogeneity
fire-adapted silviculture
url http://www.mdpi.com/2071-1050/9/3/390
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