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Title: A three-step approach to post-fire mortality modelling in maritime pine (Pinus pinaster Ait) stands for enhanced forest planning in Portugal
Authors: GARCIA-GONZALO, Jordi
Borges, Jose
Botequim, Brigite
Oliveira, Manuela
Tomé, Jose
Tomé, Margarida
Editors: Kerr, Kerr
McKay, McKay
Gove, Jeffrey
Mitchell, Steve
Mason, Euan
Collet, Catherine
Cahalan, Christine
Achim, Alexis
Zealand, New
Ducey, Mark J
Diaci, Jurij
Guldin, Jim
Freer-Smith, Peter
Harmer, Ralph
Hein, Sebastian
Herbohn, John
Hynynen, Jari
Innes, John
Liu, Shirong
Löf, Magnus
O'Hara, Kevin
Maltamo, Matti
Manley, Bruce
Nieuwenhuis, Maarten
Barrio Anta, Marcos
Patriquin, Mike
Pinkard, Libby
Price, Colin
Quine, Chris
Sasaki, Nophea
Skovsgaard, Jens Peter
Weston, Chris
Willoughby, Ian
Issue Date: 22-Mar-2011
Publisher: Forestry Advance Access published
Abstract: Maritime pine (Pinus pinaster Ait) is a very important timber-producing species in Portugal with a yield of ~67.1 million m3 year21. It covers ~22.6 per cent of the forest area (710.6 × 103 ha). Fire is the most significant threat to maritime pine plantations. This paper discusses research aiming at the development of post-fire mortality models for P. pinaster Ait stands in Portugal that can be used for enhanced integration of forest and fire management planning activities. Post-fire mortality was modelled using biometric and fire data from 2005/2006 National Forest Inventory plots and other sample plots within 2006–2008 fire perimeters. A three-step modelling strategy based on logistic regression methods was used. Firstly, the probability of mortality to occur after a wildfire in a stand is predicted and secondly, the degree of mortality caused by a wildfire on stands where mortality occurs is quantified. Thirdly, mortality is distributed among trees. The models are based on easily measurable tree characteristics so that forest managers may predict post-fire mortality based on forest structure. The models show that relative mortality decreases when average d.b.h. increases, while slope and tree size diversity increase the mortality.
Type: article
Appears in Collections:CIMA - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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