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Conditioning uncertainty in ecological models : assessing the impact of fire management strategies.

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Conditioning uncertainty in ecological models : assessing the impact of fire management strategies. / Piñol, Josep; Castellnou, Marc; Beven, Keith J.
In: Ecological Modelling, Vol. 207, No. 1, 01.09.2007, p. 34-44.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Piñol J, Castellnou M, Beven KJ. Conditioning uncertainty in ecological models : assessing the impact of fire management strategies. Ecological Modelling. 2007 Sept 1;207(1):34-44. doi: 10.1016/j.ecolmodel.2007.03.020

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Piñol, Josep ; Castellnou, Marc ; Beven, Keith J. / Conditioning uncertainty in ecological models : assessing the impact of fire management strategies. In: Ecological Modelling. 2007 ; Vol. 207, No. 1. pp. 34-44.

Bibtex

@article{98ffcc6ebdc24ca283945a2c3013df81,
title = "Conditioning uncertainty in ecological models : assessing the impact of fire management strategies.",
abstract = "A simple simulation model has been used to investigate whether large fires in Mediterranean regions are a result of extreme weather conditions or the cumulative effect of a policy of fire suppression over decades. The model reproduced the fire regime characteristics for a wide variety of regions of Mediterranean climate in California, France and Spain. The Generalised Likelihood Uncertainty Estimation (GLUE) methodology was used to assess the possibility of multiple model parameter sets being consistent with the available calibration data. The resulting set of behavioural models was used to assess uncertainty in the predictions. The results suggested that (1) for a given region, the total area burned is much the same whether suppression or prescribed fire policies are used or not; however fire suppression enhances fire intensity and prescribed burning reduces it; (2) the proportion of large fires can be reduced, but not eliminated, using prescribed fires, especially in areas which have the highest proportion of large fires.",
keywords = "Fuel accumulation, Fire suppression, Paradox of extinction, Fire spread, Mediterranean, Wildfires",
author = "Josep Pi{\~n}ol and Marc Castellnou and Beven, {Keith J.}",
year = "2007",
month = sep,
day = "1",
doi = "10.1016/j.ecolmodel.2007.03.020",
language = "English",
volume = "207",
pages = "34--44",
journal = "Ecological Modelling",
issn = "0304-3800",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Conditioning uncertainty in ecological models : assessing the impact of fire management strategies.

AU - Piñol, Josep

AU - Castellnou, Marc

AU - Beven, Keith J.

PY - 2007/9/1

Y1 - 2007/9/1

N2 - A simple simulation model has been used to investigate whether large fires in Mediterranean regions are a result of extreme weather conditions or the cumulative effect of a policy of fire suppression over decades. The model reproduced the fire regime characteristics for a wide variety of regions of Mediterranean climate in California, France and Spain. The Generalised Likelihood Uncertainty Estimation (GLUE) methodology was used to assess the possibility of multiple model parameter sets being consistent with the available calibration data. The resulting set of behavioural models was used to assess uncertainty in the predictions. The results suggested that (1) for a given region, the total area burned is much the same whether suppression or prescribed fire policies are used or not; however fire suppression enhances fire intensity and prescribed burning reduces it; (2) the proportion of large fires can be reduced, but not eliminated, using prescribed fires, especially in areas which have the highest proportion of large fires.

AB - A simple simulation model has been used to investigate whether large fires in Mediterranean regions are a result of extreme weather conditions or the cumulative effect of a policy of fire suppression over decades. The model reproduced the fire regime characteristics for a wide variety of regions of Mediterranean climate in California, France and Spain. The Generalised Likelihood Uncertainty Estimation (GLUE) methodology was used to assess the possibility of multiple model parameter sets being consistent with the available calibration data. The resulting set of behavioural models was used to assess uncertainty in the predictions. The results suggested that (1) for a given region, the total area burned is much the same whether suppression or prescribed fire policies are used or not; however fire suppression enhances fire intensity and prescribed burning reduces it; (2) the proportion of large fires can be reduced, but not eliminated, using prescribed fires, especially in areas which have the highest proportion of large fires.

KW - Fuel accumulation

KW - Fire suppression

KW - Paradox of extinction

KW - Fire spread

KW - Mediterranean

KW - Wildfires

U2 - 10.1016/j.ecolmodel.2007.03.020

DO - 10.1016/j.ecolmodel.2007.03.020

M3 - Journal article

VL - 207

SP - 34

EP - 44

JO - Ecological Modelling

JF - Ecological Modelling

SN - 0304-3800

IS - 1

ER -