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

Catry, Filipe X.; Pausas, Juli G.; Moreira, Francisco; Fernandes, Paulo M.; Rego, Francisco

doi:10.1071/wf12215

Cited by 49 publications

(42 citation statements)

References 39 publications

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“…Other studies have observed this discrepancy between actual mortality and top-kill (e.g. Catry et al 2013), although most mortality models are primarily focussed on top-kill. This result underscores the need to develop more species-specific models for FOFEM, and the need to consider multiple types of mortality for hardwoods.…”

Section: Model Validationmentioning

confidence: 94%

Multi-scale assessment of post-fire tree mortality models

Furniss

Larson

Kane

et al. 2019

Int. J. Wildland Fire

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Post-fire tree mortality models are vital tools used by forest land managers to predict fire effects, estimate delayed mortality and develop management prescriptions. We evaluated the performance of mortality models within the First Order Fire Effects Model (FOFEM) software, and compared their performance to locally-parameterised models based on five different forms. We evaluated all models at the individual tree and stand levels with a dataset comprising 34174 trees from a mixed-conifer forest in the Sierra Nevada, California that burned in the 2013 Rim Fire. We compared stand-level accuracy across a range of spatial scales, and we used point pattern analysis to test the accuracy with which mortality models predict post-fire tree spatial pattern. FOFEM under-predicted mortality for the three conifers, possibly because of the timing of the Rim Fire during a severe multi-year drought. Locally-parameterised models based on crown scorch were most accurate in predicting individual tree mortality, but tree diameter-based models were more accurate at the stand level for Abies concolor and large-diameter Pinus lambertiana, the most abundant trees in this forest. Stand-level accuracy was reduced by spatially correlated error at small spatial scales, but stabilised at scales ≥1ha. The predictive error of FOFEM generated inaccurate predictions of post-fire spatial pattern at small scales, and this error could be reduced by improving FOFEM model accuracy for small trees.

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Section: Model Validationmentioning

confidence: 94%

Multi-scale assessment of post-fire tree mortality models

Furniss

Larson

Kane

et al. 2019

Int. J. Wildland Fire

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“…In general, Pinus species in the Iberian Peninsula's forests are obligated seeders whose post-fire regeneration relies on seeds stored in serotinous cones within the canopy level (Calvo et al, 2008(Calvo et al, , 2016. However, this natural regeneration could fail due to severe wildfires, as regeneration from aerial seed banks could be hindered (Calvo et al, 2008;Catry et al, 2013). Depending on burn severity, fire not only affects the regeneration of dominant tree species but also the understory community.…”

Section: Introductionmentioning

confidence: 99%

Burn severity metrics in fire-prone pine ecosystems along a climatic gradient using Landsat imagery

Fernández-García

Santamarta

Fernández–Manso

et al. 2018

Remote Sensing of Environment

102

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Multispectral imagery is a widely used source of information to address post-fire ecosystem management. The aim of this study is to evaluate the ability of remotely sensed indices derived from Landsat 8 OLI/TIRS to assess initial burn severity (overall, on vegetation and on soil) in fire-prone pine forests along the Mediterranean-Transition-Oceanic climatic gradient in the Mediterranean Basin. We selected four large wildfires which affected pine forests in a climatic gradient within the Iberian Peninsula. In each wildfire we established CBI plots to obtain field values of three burn severity metrics: site, vegetation and soil burn severity. The ability of 13 spectral indices to match these three field burn severity metrics was compared and their transferability along the climatic gradient assessed using linear regression models. Specifically, we analysed the performance of 12 indices previously used for burn severity assessments (8 reflective, 2 thermal, 2 mixed) and a new reflective index (dNBR-EVI). The results showed that Landsat spectral indices have a greater ability to determine site and vegetation burn severity than soil burn severity. We found large differences in indices performances among the three different climatic regions, since most indices performed better in the Mediterranean and Transition regions than in the Oceanic one. In general, the dNBR-EVI showed the best fit to site, vegetation and soil burn severity in the three regions, demonstrating broad transferability along the entire climatic gradient.

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“…FireFreq was particularly relevant in hampering the regeneration of temperate sub-Mediterranean taxa (Q. robur and Q. pyrenaica). Although Quercus species resprout after fire [114], frequent fires can exhaust belowground storage reserves precluding further resprouting and kill saplings that have not yet stored enough reserves for resprouting [115].…”

Section: Discussionmentioning

confidence: 99%

Regeneration of Native Forest Species in Mainland Portugal: Identifying Main Drivers

Monteiro‐Henriques

Fernandes

2018

Forests

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Persistence of native forests is a global concern. We aimed at unveiling the main factors affecting tree recruitment in Portuguese native forests, modelling sapling data collected during the 5th Portuguese Forest Inventory, for five main Quercus taxa. Zero-inflated count data models allowed us to examine simultaneously (i) the absence of tree recruitment and (ii) the density of tree recruitment. Using Akaike weights, we obtained importance values for 15 relevant explanatory variables. Results showed that seed availability and climatic variables were determinant to understand regional absence of regeneration for all taxa. Seed availability was also an important driver of sapling density, except for Quercus suber. Other variables impacted on regeneration density: grazing hindered Q. suber regeneration; regeneration of Q. rotundifolia and Q. suber was lower in flat areas; recurrent fire hampered the regeneration of Q. robur and Q. pyrenaica; Q. broteroi and Q. pyrenaica showed depressed regeneration in regions where forest plantations abound, while Q. robur and Q. suber seemed selectively protected. We conclude that caution is warranted when analysing pooled data for Quercus spp. regeneration, as different variables affected Quercus taxa differently. Finally, we suggest dedicated management actions to enhance the establishment of new native forests.

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

Cited by 49 publications

References 39 publications

Multi-scale assessment of post-fire tree mortality models

Multi-scale assessment of post-fire tree mortality models

Burn severity metrics in fire-prone pine ecosystems along a climatic gradient using Landsat imagery

Regeneration of Native Forest Species in Mainland Portugal: Identifying Main Drivers

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