<?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%">Bullitta, Simonetta</style></author><author><style face="normal" font="default" size="100%">Dettori, Sandro</style></author><author><style face="normal" font="default" size="100%">Manchinu, Manuela</style></author><author><style face="normal" font="default" size="100%">Filigheddu, Maria Rosaria</style></author><author><style face="normal" font="default" size="100%">Piluzza, Giovanna</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Characterization of Sardinian cork oak (Quercus suber L.) genetic resources for economically important traits</style></title><secondary-title><style face="normal" font="default" size="100%">Genetic Resources and Crop Evolution</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cluster analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork quality</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA polymorphisms</style></keyword><keyword><style  face="normal" font="default" size="100%">Principal component analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus suber L.</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://www.springerlink.com/index/10.1007/s10722-010-9636-7</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">1007 - 1020</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Considering the very high socio economic value of cork oak (Quercus suber L.) in Mediterranean areas, a better knowledge of local genetic resources is necessary in order to reach a good balance between the conservation issues and the need of an efﬁcient cork production network. In such frame, local germplasm of Q. suber from the main cork production areas of Sardinia was analysed for DNA and isozyme polymorphisms and for cork quality in relation to some environmental parameters. A total number of 24 sample stands of cork oak were selected, representing typical vegetation, sylvicultural and cork quality features within the eight identiﬁed cork growing areas in Sardinia. Considerable variation was found between cork oak stands of the different areas. Results of the principal component analysis performed on the cork quality data and environmental characters of the eight areas, showed that the ﬁrst three components explain 72.2% of the variation. The major characters involved in this differentiation were cork quality characters such as dimensional recover, moisture and Mg content of the cork and also elevation of stands m a.s.l. for the ﬁrst component. The second component appears to be determined by some climatic parameters (average annual temperature and average of the minimum temperatures of coldest month) and by the Fe and Zn in the cork. For the third component, major characters involved in differentiation are average annual rainfall, bark thickness and Ca content in the cork.</style></abstract><issue><style face="normal" font="default" size="100%">7</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><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%">Lorenzo, Zaida</style></author><author><style face="normal" font="default" size="100%">Burgarella, Concetta</style></author><author><style face="normal" font="default" size="100%">de Heredia, Unai López</style></author><author><style face="normal" font="default" size="100%">Lumaret, Roselyne</style></author><author><style face="normal" font="default" size="100%">Petit, Rémy J.</style></author><author><style face="normal" font="default" size="100%">Soto, Álvaro</style></author><author><style face="normal" font="default" size="100%">Gil, Luis</style></author><author><style face="normal" font="default" size="100%">Soto, Álvaro</style></author><author><style face="normal" font="default" size="100%">Gil, Luis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Relevance of genetics for conservation policies: the case of Minorcan cork oaks</style></title><secondary-title><style face="normal" font="default" size="100%">Annals of Botany</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Balearic Islands</style></keyword><keyword><style  face="normal" font="default" size="100%">cluster analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">conservation guidelines</style></keyword><keyword><style  face="normal" font="default" size="100%">Conservation of Natural Resources</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Variation</style></keyword><keyword><style  face="normal" font="default" size="100%">Geography</style></keyword><keyword><style  face="normal" font="default" size="100%">marginal populations</style></keyword><keyword><style  face="normal" font="default" size="100%">Minorca</style></keyword><keyword><style  face="normal" font="default" size="100%">Nuclear microsatellites</style></keyword><keyword><style  face="normal" font="default" size="100%">Population Dynamics</style></keyword><keyword><style  face="normal" font="default" size="100%">Q. ilex (holm oak)</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus suber (cork oak)</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus: genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Soil</style></keyword><keyword><style  face="normal" font="default" size="100%">Spain</style></keyword><keyword><style  face="normal" font="default" size="100%">western Mediterranean</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2766195&amp;tool=pmcentrez&amp;rendertype=abstracthttp://aob.oxfordjournals.org/content/104/6/1069.abstract</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">104</style></volume><pages><style face="normal" font="default" size="100%">1069 - 1076</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Background and Aims Marginal populations of widely distributed species can be of high conservation interest when they hold a significant or unique portion of the genetic diversity of the species. However, such genetic information is frequently lacking. Here the relevance of genetic surveys to develop efficient conservation strategies for such populations is illustrated using cork oak (Quercus suber) from Minorca (Balearic Islands, Spain) as a case study. Cork oak is highly endangered on the island, where no more than 67 individuals live in small, isolated stands in siliceous sites. As a consequence, it was recently granted protected status.Methods Two Bayesian clustering approaches were used to analyse the genetic structure of the Minorcan population, on the basis of nuclear microsatellite data. The different groups within the island were also compared with additional island and continental populations surrounding Minorca.Key Results Very high genetic diversity was found, with values comparable with those observed in continental parts of the species' range. Furthermore, the Minorcan oak stands were highly differentiated from one another and were genetically related to different continental populations of France and Spain.Conclusions The high levels of genetic diversity and inter-stands differentiation make Minorcan cork oak eligible for specific conservation efforts. The relationship of Minorcan stands to different continental populations in France and Spain probably reflects multiple colonization events. However, discrepancy between chloroplast DNA- and nuclear DNA-based groups does not support a simple scenario of recent introduction. Gene exchanges between neighbouring cork oak stands and with holm oak have created specific and exceptional genetic combinations. They also constitute a wide range of potential genetic resources for research on adaptation to new environmental conditions. Conservation guidelines that take into account these findings are provided.</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><notes><style face="normal" font="default" size="100%">From Duplicate 2 (Relevance of genetics for conservation policies: the case of Minorcan cork oaks - Lorenzo, Zaida; Burgarella, Concetta; de Heredia, Unai López; Lumaret, Roselyne; Petit, Rémy J; Soto, Álvaro; Gil, Luis)From Duplicate 2 (Relevance of genetics for conservation policies: the case of Minorcan cork oaks - Lorenzo, Zaida; Burgarella, Concetta; de Heredia, Unai López; Lumaret, Roselyne; Petit, Rémy J; Soto, Álvaro; Gil, Luis)The following values have no corresponding Zotero field:&lt;br/&gt;accession-num: 19671575</style></notes></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%">Gaspar, P.</style></author><author><style face="normal" font="default" size="100%">Mesías, F. J.</style></author><author><style face="normal" font="default" size="100%">Escribano, M.</style></author><author><style face="normal" font="default" size="100%">Rodríguez de Ledesma, A.</style></author><author><style face="normal" font="default" size="100%">Pulido, F.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Economic and management characterization of dehesa farms: implications for their sustainability</style></title><secondary-title><style face="normal" font="default" size="100%">Agroforestry Systems</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cluster analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Farm typology</style></keyword><keyword><style  face="normal" font="default" size="100%">Livestock farming systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Principal component analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Rangeland management</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/index/10.1007/s10457-007-9081-6</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">71</style></volume><pages><style face="normal" font="default" size="100%">151 - 162</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Dehesa agroforestry systems occupy around 6 million ha in the Iberian Peninsula. Their economic and environmental sustainability depends on the maintenance of the extensive livestock farms which created this typical ecosystem. This work analyzes dehesa farms in the Extremadura region (SW Spain) using technical and economic indicators of 69 randomly selected holdings. Principal component analysis (PCA) allowed us to establish a valid model explaining 65.8% of the variance. The two principal components having most weight were Iberian pig production (explaining 20% of the variance of the model), and which ruminant species were raised on the farm (15% of the variance). A cluster analysis distinguished ﬁve types of farms: sheep farms at high and low stocking rates, beef cattle farms, wooded farms with mixed livestock, and farms with a high level of cropping activity. The most proﬁtable farms were those with either high overall livestock density or a high level of Iberian pig production. While high stocking density has historically attracted high levels of subsidy, production of Iberian pigs was proﬁtable because of the high value of the product. In the light of CAP reform, Iberian pig production seems the most readily sustainable type of farming for the dehesa system.</style></abstract><issue><style face="normal" font="default" size="100%">3</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%">Ferreira-Dias, Suzana</style></author><author><style face="normal" font="default" size="100%">Valente, Dina G.</style></author><author><style face="normal" font="default" size="100%">Abreu, José M. F. F.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pattern recognition of acorns from different Quercus species based on oil content and fatty acid profile</style></title><secondary-title><style face="normal" font="default" size="100%">Grasas y Aceites</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">acorn</style></keyword><keyword><style  face="normal" font="default" size="100%">cluster analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Discriminant analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Oil</style></keyword><keyword><style  face="normal" font="default" size="100%">Principal component analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/224/224</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">54</style></volume><pages><style face="normal" font="default" size="100%">384 - 391</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The aim of this study was (i) to characterize different species of Quercus genus and (ii) to discriminate among them on the basis of the content and fatty acid composition of the oil in their fruits and/or their morphological aspects via pattern recognition techniques (Principal Component Analysis, PCA, Cluster Analysis, CA, and Discriminant Analysis, DA). Quercus rotundifolia Lam., Quercus suber L. and Quercus pyrenaica Willd., grown in the same stand in the centre of Portugal, were investigated. When oil content and respective fatty acid composition were used to characterize samples, well-separated groups corresponding to each of the species were observed by PCA and confirmed by CA and DA. The ‘‘width’’ and ‘‘length’’ of acorns exhibited a low discriminant power. Acorns from Q. rotundifolia showed the highest average oil content followed by Q. suber and Q. pyrenaica acorns (9.1, 5.2 and 3.8%, respectively). Fatty acid profiles of Q. rotundifolia and Q. suber oils are similar to olive oil while the oil from Q. pyrenaica acorns is more unsaturated</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue></record></records></xml>