<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cassagne, Nathalie</style></author><author><style face="normal" font="default" size="100%">Pimont, Francois</style></author><author><style face="normal" font="default" size="100%">Dupuy, Jean-Luc</style></author><author><style face="normal" font="default" size="100%">Linn, Rodman R.</style></author><author><style face="normal" font="default" size="100%">Mårell, Anders</style></author><author><style face="normal" font="default" size="100%">Oliveri, Chloé</style></author><author><style face="normal" font="default" size="100%">Rigolot, Eric</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using a fire propagation model to assess the efficiency of prescribed burning in reducing the fire hazard</style></title><secondary-title><style face="normal" font="default" size="100%">Ecological Modelling</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Fire behaviour</style></keyword><keyword><style  face="normal" font="default" size="100%">FIRETEC</style></keyword><keyword><style  face="normal" font="default" size="100%">Fuel dynamics</style></keyword><keyword><style  face="normal" font="default" size="100%">Mediterranean fuel complexes</style></keyword><keyword><style  face="normal" font="default" size="100%">Prescribed burning</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2011///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S0304380011000615</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">222</style></volume><pages><style face="normal" font="default" size="100%">1502 - 1514</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We examined how ﬁre hazard was affected by prescribed burning and fuel recovery over the ﬁrst six years following treatment. Eight common Mediterranean fuel complexes managed by means of prescribed burning in limestone Provence (South-Eastern France) were studied, illustrating forest and woodland, garrigue and grassland situations. The coupled atmosphere-wildﬁre behaviour model FIRETEC was used to simulate ﬁre behaviour (ROS, intensity) in these complex vegetations. The temporal threshold related to the effectiveness of prescribed burning in reducing the ﬁre hazard was assessed from derivated fuel dynamics after treatment. The study showed that prescribed burning treatment was effective for the ﬁrst two years in most of the Mediterranean plant communities analysed. Thereafter, all forests and shrublands were highly combustible with a ﬁre line intensity of more than 5000 kW/m except for pine stands with or without oak (medium intensity of 2000 kW m−1 3 years after treatment). Low ﬁre line intensity (900 kW m−1 ) was obtained for grassland which was entirely treatment-independent since the resprouter hemicryptophyte, Brachypodium retusum, is highly resilient to ﬁre. Fire behaviour was greatly affected by fuel load accumulation of Quercus ilex in woodland, and by standing necromass of Rosmarinus ofﬁcinalis in treated garrigue. Pure pine stands with shrub strata similar to garrigue showed a lower ﬁre intensity due to wind speed decrease at ground level under tree canopy, underlining the advantage of maintaining a proportion of canopy cover in strategic fuel-break zones</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Morsdorf, Felix</style></author><author><style face="normal" font="default" size="100%">Mårell, Anders</style></author><author><style face="normal" font="default" size="100%">Koetz, Benjamin</style></author><author><style face="normal" font="default" size="100%">Cassagne, Nathalie</style></author><author><style face="normal" font="default" size="100%">Pimont, Francois</style></author><author><style face="normal" font="default" size="100%">Rigolot, Eric</style></author><author><style face="normal" font="default" size="100%">Allgöwer, Britta</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Discrimination of vegetation strata in a multi-layered Mediterranean forest ecosystem using height and intensity information derived from airborne laser scanning</style></title><secondary-title><style face="normal" font="default" size="100%">Remote Sensing of Environment</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">airborne laser scanning</style></keyword><keyword><style  face="normal" font="default" size="100%">Canopy proﬁle</style></keyword><keyword><style  face="normal" font="default" size="100%">cluster analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Gaussian mixture models</style></keyword><keyword><style  face="normal" font="default" size="100%">LiDAR</style></keyword><keyword><style  face="normal" font="default" size="100%">Multi-layered ecosystems</style></keyword><keyword><style  face="normal" font="default" size="100%">Shrubland</style></keyword><keyword><style  face="normal" font="default" size="100%">Supervised classiﬁcation</style></keyword><keyword><style  face="normal" font="default" size="100%">Vertical stratiﬁcation</style></keyword><keyword><style  face="normal" font="default" size="100%">Wildland ﬁres</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S0034425710000568</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">114</style></volume><pages><style face="normal" font="default" size="100%">1403 - 1415</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Height and intensity information derived from Airborne Laser Scanning (ALS) was used to obtain a quantitative vertical stratiﬁcation of vegetation in a multi-layered Mediterranean ecosystem. A new methodology for the separation of different vegetation strata was implemented using supervised classiﬁcation of a twodimensional feature space spanned by ALS return height (terrain corrected) and intensity. The classiﬁcation was carried out using Gaussian mixture models tuned on a control plot. The approach was validated using extensive ﬁeld measurements from treated plots, ranging from single vegetation strata to a more complex multi-layered ecosystem. Plot-level canopy proﬁles derived from ALS and from a geometric reconstruction based on ﬁeld measurements were in very good agreement, with correlation coefﬁcients ranging from 0.73 (for complex, 3-layered) to 0.96 (simple, single-layered). In addition, it was possible to derive plot-level information on layer height, vertical extent and coverage with absolute accuracies of some decimetres (simple plots) to a meter (complex plots) for both height and vertical extent and about 10 to 15% for layer coverage. The approach was then used to derive maps of the layer height, vertical extent and percentage of ground cover for a larger area, and classiﬁcation accuracy was evaluated on a per-pixel basis. The method performed best for single-layered plots or dominant layers on multi-layered plots, obtaining an overall accuracy of 80 to 90%. For subdominant layers in the more complex plots, accuracies obtained were as low as 48%. Our results demonstrate the possibility of deriving qualitative (presence and absence of speciﬁc vegetation layers) and quantitative, physical data (height, vertical extent and ground cover) describing the vertical structure of complex multi-layered forest ecosystems using ALS-based height and intensity information</style></abstract><issue><style face="normal" font="default" size="100%">7</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Elsevier Inc.</style></notes></record></records></xml>