Pinus pinaster Ait. tree mortality following wildfire in Spain

Vega, José A.; Jiménez, Enrique; Vega, D.; Ortiz, L.; Pérez, José R.

doi:10.1016/j.foreco.2010.10.019

Cited by 39 publications

(36 citation statements)

References 50 publications

(118 reference statements)

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“…Woolley et al 2012). PCD included both the crown volume scorched and consumed (McHugh and Kolb 2003), as this combined variable was reported to describe well crown injury, often better than using the two variables separately (Catry et al 2010;Vega et al 2011). In the experimental fires, PCD was the only fire severity indicator assessed.…”

Section: Sampling and Data Collectionmentioning

confidence: 99%

“…Other measures such as crown scorched, consumed or both crown scorched and consumed have been extensively used, particularly for conifers, linking fire intensity to the loss of photosynthetic material and subsequent tree mortality (e.g. Peterson and Ryan 1986;Sieg et al 2006;Catry et al 2010;Vega et al 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, and adding further complexity, post-fire tree responses can also be affected by temporal and spatial factors such as the physiological condition of the trees when the fire occurs (Whelan 1995;Moreira et al 2012), the site edapho-climatic conditions, or the occurrence and intensity of additional stressing factors, such as drought, insects and diseases (e.g. DeBano et al 1998;Sieg et al 2006;Vega et al 2011).…”

Section: Introductionmentioning

confidence: 99%

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Post-fire response variability in Mediterranean Basin tree species in Portugal

Catry¹,

Pausas

Moreira³

et al. 2013

Int. J. Wildland Fire

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Fire is the most important natural disturbance driving vegetation dynamics in the Mediterranean Basin. However, studies relating fire-induced tree responses to both fire severity and plant traits are still scarce in this region. We aimed to investigate such relationships further and to develop simple models that could help improve forest management in these fire-prone ecosystems. We compiled data from 16 fire sites in different regions and used models to relate post-fire responses of 4155 trees from 14 species with fire severity indicators and tree characteristics. The influence of several spatiotemporal factors at the site level was also considered. Results showed that pine mortality was usually high and mainly determined by fire severity, whereas plant traits played a minor role. In contrast, mortality of broadleaved trees was usually low, even for high-severity fire, but most trees were top-killed. Stem mortality increased with fire severity and decreased with bark thickness and tree size. The models for predicting individual mortality of pines and stem mortality of broadleaves showed very good performance, including when validated against independent datasets. Our results suggest that it is possible to accurately predict the most common post-fire responses of Mediterranean species based on simple fire and tree characteristics.

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Section: Sampling and Data Collectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Post-fire response variability in Mediterranean Basin tree species in Portugal

Catry¹,

Pausas

Moreira³

et al. 2013

Int. J. Wildland Fire

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“…Although this species exhibits some traits which enables it to survive low-intensity surface fires (Catry et al 2010;Vega et al 2011;Keeley 2012), it is generally considered a very fire-susceptible pine species, particularly at the juvenile stage (Fernandes and Rigolot 2007;. The open canopy allows light to reach the ground, and consequently, a thick understory layer of dense shrubs can grow under favourable climate conditions (Vega et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Midterm fuel structure recovery and potential fire behaviour in a Pinus pinaster Ait. forest in northern central Spain after thinning and mastication

Jiménez

Vega-Nieva

Rey³

et al. 2016

Eur J Forest Res

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Pinus pinaster Ait., a prominent component of the western Mediterranean forest, is a species currently suffering a high wildfire pressure and consequently becoming a prime candidate for fuel reduction treatments. However, little is known about the efficiency and longevity of modification of the fuel complex structure for fire hazard reduction treatments in this type of forest. We examined how different levels of intense thinning plus mastication altered canopy and undercanopy fuel structure in a representative forest stand in northern central Spain and its recovery for the next 5 years. We also evaluated the midterm effect on potential fire behaviour. Five years after treatments, canopy bulk density and canopy fuel load were still significantly lower than in untreated areas. After that time, understory cover and height and available undercanopy fuel load had still not reached values similar to those in untreated areas, although undercanopy available fuel complex had similar bulk density to that in untreated areas. The treatments were efficient in reducing the crown fire susceptibility in the study period, and even 5 years after treatments modelled active crown fire did not occur in treated areas.

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“…Because of the randomness of irregular mortality and the difficulty in predicting the variability of ecological disturbances in climatic stress, extreme winds, drought, wildfire, and other destructive agents (Stage 1973), most tree mortality models in growth systems are developed only for regular mortality (e.g., Monserud 1976;Lynch et al 1998;Eid and Tuhus 2001) or for a local type of irregular mortality (Breece et al 2008;Vega et al 2011). In growth models used in forest management, individual-tree mortality is often described by empirical models (Monserud and Sterba 1999).…”

Section: Introductionmentioning

confidence: 99%

Improving tree survival prediction with forecast combination and disaggregation

et al. 2011

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The tree mortality model plays an important role in simulating stand dynamic processes. Past work has shown that the disaggregation method was successful in improving tree survival prediction. This method was used in this study to forecast tree survival probability of Chinese pine (Pinus tabulaeformis Carrière) in Beijing. Outputs from the tree survival model were adjusted from either the stand-level model prediction or the combined estimator from the forecast combination method. Our results show that the disaggregation approach improved the performance of tree survival models. We also showed that stand-level prediction played a crucial role in refining outputs from a tree survival model, especially when it is a very simple model. Because the forecast combination method produced better stand-level prediction, we prefer the use of this method in conjunction with the disaggregation approach, even though the performance gain in using the forecast combination method shown for this data set was modest.Résumé : La modélisation de la mortalité des arbres joue un rôle important dans la simulation des processus dynamiques de la croissance forestière. Les travaux antérieurs ont montré que la méthode de désagrégation pouvait améliorer la prédic-tion de la survie des arbres. Cette méthode a donc été utilisée ici pour prédire la probabilité de survie du pin de Chine (Pinus tabulaeformis Carrière) à Pékin. Les extrants du modèle de survie des arbres ont été ajustés à partir soit de la prédiction du modèle à l'échelle du peuplement, soit de l'estimateur combiné de la méthode de combinaison des prédictions. Nos ré-sultats montrent que l'approche de désagrégation a amélioré la performance du modèle de survie des arbres. Nous avons également montré que la prédiction à l'échelle du peuplement a joué un rôle crucial dans le raffinement des extrants du modèle de survie des arbres, surtout lorsque le modèle est très simple. Comme la méthode de combinaison des prédictions pré-dit le mieux les attributs du peuplement, nous préférons l'utiliser conjointement avec la méthode de désagrégation, même si le gain de performance était modeste pour l'ensemble de données considéré.[Traduit par la Rédaction]

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Pinus pinaster Ait. tree mortality following wildfire in Spain

Cited by 39 publications

References 50 publications

Post-fire response variability in Mediterranean Basin tree species in Portugal

Post-fire response variability in Mediterranean Basin tree species in Portugal

Midterm fuel structure recovery and potential fire behaviour in a Pinus pinaster Ait. forest in northern central Spain after thinning and mastication

Improving tree survival prediction with forecast combination and disaggregation

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