<?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%">Coelho, Marta Baptista</style></author><author><style face="normal" font="default" size="100%">Paulo, Joana Amaral</style></author><author><style face="normal" font="default" size="100%">Palma, João Henrique Nunes</style></author><author><style face="normal" font="default" size="100%">Tomé, Margarida</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Contribution of cork oak plantations installed after 1990 in Portugal to the Kyoto commitments and to the landowners economy</style></title><secondary-title><style face="normal" font="default" size="100%">Forest Policy and Economics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Carbon Sequestration</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork oak</style></keyword><keyword><style  face="normal" font="default" size="100%">Kyoto protocol</style></keyword><keyword><style  face="normal" font="default" size="100%">New plantations area</style></keyword><keyword><style  face="normal" font="default" size="100%">Wood</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012///</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://linkinghub.elsevier.com/retrieve/pii/S1389934111001845</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">59 - 68</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Cork oak stands are a part of the agroforestry ecosystem in Portugal, characterized by a low crown cover from cork oak trees, managed towards cork production, and sometimes in combination with grazing. In recent years, European Union policies gave impetus to a large area of new cork oak plantations, which have been established mainly for cork production purposes, and consequently with higher stand density than traditional agroforestry systems. These plantations are important not only for cork production but also for the carbon sequestered by these slow growing forests that won't be harvested for wood production. Thinning operations will be needed to avoid excessive inter-tree competition and wood extracted from these thinning may also provide income for the owners. In the present study, carbon sequestered and wood volumes resulting from thinning were estimated for the next 70 years. Three scenarios of different annual afforestation rates and different site indexes were tested. The resulting values for the considered scenarios show that, if the plantation rates are maintained, new cork oak plantations will have an important contribution to the Portuguese commitments to providing CO2 offsets under the Kyoto protocol. Additionally, due to the increasing values of initial density in new cork plantations, cork oak forests will produce a signiﬁcant volume of wood that may become an important contribution to the landowners' income.</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Elsevier B.V.</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Nonlinear fixed and random generalized height–diameter models for Portuguese cork oak stands</style></title><secondary-title><style face="normal" font="default" size="100%">Annals of Forest Science</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><volume><style face="normal" font="default" size="100%">68</style></volume><pages><style face="normal" font="default" size="100%">295-309</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">• Objective The objective of the research was to develop a generalized height–diameter model for Quercus suber L. in Portugal, which can be applied both to undebarked and debarked trees, with diameter at breast height over cork larger than 2.5 cm. • Methods A nonlinear fixed effects model (NLFEM) and a nonlinear mixed effects model (NLMEM) approaches were used. Parameters estimates were obtained using the SAS macro NLINMIX, which uses a linear approximation to the marginal likelihood function by expanding it with a first-order Taylor series on the random effects. The option of expanding on the random effects at their current empirical best linear unbiased predictors (EBLUP) was used. The fitted models were evaluated using an independent data set, together with an existing model specific for undebarked trees. To obtain subject specific predictions with the NLMEM, a conventional and an improved calibration procedures were applied, considering four different tree sub-sampling designs. Both proposed models included dominant height and stand density as covariates to explain plot variability. • Conclusions Validation indicated that, even in the situations where the NLMEM calibration is not possible, this model should be preferred. The differences between the validated models, which were more evident for young stands, were considered. No large differences in predictive accuracy were found between the calibrated NLMEM using the conventional or the improved calibration procedures, for all the considered sub-sampling designs.</style></abstract></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%">Almeida, Alice M.</style></author><author><style face="normal" font="default" size="100%">Tomé, José</style></author><author><style face="normal" font="default" size="100%">Tomé, Margarida</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of a system to predict the evolution of individual tree mature cork caliber over time</style></title><secondary-title><style face="normal" font="default" size="100%">Forest Ecology and Management</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cork caliber</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork growth index</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork growth models</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork thickness of complete rings</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/S0378112710004019</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">260</style></volume><pages><style face="normal" font="default" size="100%">1303 - 1314</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The development of a model for the prediction of the evolution of individual tree cork caliber over time, from a measurement taken at a certain point in time, was the main objective of this work. The model includes three sub-models: a model to predict the thickness of complete rings from cork caliber at tc years; a cork growth model (for complete rings) and a model to predict cork caliber at age tc from the corresponding thickness of (tc − 1) complete rings. The algebraic difference approach (ADA) as well as the generalized algebraic difference approach (GADA) were used in modeling cork growth. Several base models with one or two site-tree-speciﬁc parameters were ﬁtted to the data using the dummy variable approach. The selection of the cork growth model was based on several criteria: ﬁtting ability, prediction performance evaluated through the PRESS residuals and behaviour screened with available knowledge on the cork growth process. The ADA model derived from the log-logistic function with the asymptote as free parameter was selected. The models developed to predict cork caliber and the corresponding thickness of complete rings were based in the linear relationship between the two variables. The two models were simultaneously ﬁtted using two stage least squares approach. The predicted thickness of cork complete rings in a 9-year old cork is proposed as a cork growth index. The distribution of this index can be used to characterize the potential of a site for cork production.</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: Elsevier B.V.</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">Field sampling of cork value before extraction in Portuguese ‘montados’</style></title><secondary-title><style face="normal" font="default" size="100%">Agroforestry Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><volume><style face="normal" font="default" size="100%">79</style></volume><pages><style face="normal" font="default" size="100%">419-430</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The assessment of cork quality and the estimation of cork value are very important to forest landowners, for management purposes and for cork commercialisation. The Forest Producers Associations have been using a sampling scheme with the objective of estimating cork value (price per unit of weight, usually kg) before extraction, based on the sampling of individual trees along a zigzag transect that covers the entire stand. The sampling error is usually too high, but, from a practical standpoint, it is difﬁcult to increase the sampling intensity if it would imply an increase in sampling costs. The aim of this work was to propose, from data collected in six stands representative of the cork oak stands in Portugal, an alternative sampling methodology with a more efﬁcient precision/ cost ratio. Precision and costs of alternative sampling designs based on clusters of different sizes, complemented with analysis of the intracluster correlation coefﬁcient, were studied in order to propose the most adequate sampling strategy. Single-stage cluster sampling with clusters of 5–7 trees guarantees a reasonable sampling error (10–15%) and can be conducted without a large increase in cost.</style></abstract></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%">Almeida, Alice M.</style></author><author><style face="normal" font="default" size="100%">Tomé, Margarida</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Field sampling of cork value before extraction in Portuguese ‘montados’</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%">Cork oak</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork quality</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork thickness</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork value</style></keyword><keyword><style  face="normal" font="default" size="100%">Intracluster correlation coefﬁcient</style></keyword><keyword><style  face="normal" font="default" size="100%">Single-stage cluster sampling</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.springerlink.com/index/10.1007/s10457-009-9260-8</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">79</style></volume><pages><style face="normal" font="default" size="100%">419 - 430</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The assessment of cork quality and the estimation of cork value are very important to forest landowners, for management purposes and for cork commercialisation. The Forest Producers Associations have been using a sampling scheme with the objective of estimating cork value (price per unit of weight, usually kg) before extraction, based on the sampling of individual trees along a zigzag transect that covers the entire stand. The sampling error is usually too high, but, from a practical standpoint, it is difﬁcult to increase the sampling intensity if it would imply an increase in sampling costs. The aim of this work was to propose, from data collected in six stands representative of the cork oak stands in Portugal, an alternative sampling methodology with a more efﬁcient precision/ cost ratio. Precision and costs of alternative sampling designs based on clusters of different sizes, complemented with analysis of the intracluster correlation coefﬁcient, were studied in order to propose the most adequate sampling strategy. Single-stage cluster sampling with clusters of 5–7 trees guarantees a reasonable sampling error (10–15%) and can be conducted without a large increase in cost.</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></contributors><titles><title><style face="normal" font="default" size="100%">Sistema para a Predição do Crescimento da Cortiça</style></title><secondary-title><style face="normal" font="default" size="100%">Silva Lusitana</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><publisher><style face="normal" font="default" size="100%">scielopt</style></publisher><volume><style face="normal" font="default" size="100%">16</style></volume><pages><style face="normal" font="default" size="100%">83-95</style></pages><isbn><style face="normal" font="default" size="100%">0870-6352 UL - http://www.scielo.gpeari.mctes.pt/scielo.php?script=sci_arttext&amp;pid=S0870-63522008000100005&amp;nrm=iso</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">. Cork growth modelling was based on two models: cork growth model for complete rings and a model for total cork thickness prediction. The cork growth model was developed using data from 189 cork samples taken at breast height. Four biological growth functions were considered using their formulation as difference equations. The evaluation of the fitting and predictive ability of the models was based on model efficiency and on several statistics computed with the press residuals, complemented with graphical analysis to assess the regression assumptions. The model selected - Lundqvist-A - can be used to predict cork thickness in complete rings at any year of the cork rotation. The model for the prediction of total cork thickness is used to predict total cork thickness from the thickness in complete rings</style></abstract></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%">Almeida, Alice</style></author><author><style face="normal" font="default" size="100%">Tomé, Margarida</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Sistema para a Predição do Crescimento da Cortiça</style></title><secondary-title><style face="normal" font="default" size="100%">Silva Lusitana</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">accumulated cork thickness in complete rings</style></keyword><keyword><style  face="normal" font="default" size="100%">cork growth</style></keyword><keyword><style  face="normal" font="default" size="100%">growth models</style></keyword><keyword><style  face="normal" font="default" size="100%">prediction</style></keyword><keyword><style  face="normal" font="default" size="100%">total cork thickness prediction</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008///</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">16</style></volume><pages><style face="normal" font="default" size="100%">83 - 95</style></pages><isbn><style face="normal" font="default" size="100%">0870-6352 UL - http://www.scielo.gpeari.mctes.pt/scielo.php?script=sci_arttext&amp;pid=S0870-63522008000100005&amp;nrm=iso</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">. Cork growth modelling was based on two models: cork growth model for complete rings and a model for total cork thickness prediction. The cork growth model was developed using data from 189 cork samples taken at breast height. Four biological growth functions were considered using their formulation as difference equations. The evaluation of the fitting and predictive ability of the models was based on model efficiency and on several statistics computed with the press residuals, complemented with graphical analysis to assess the regression assumptions. The model selected - Lundqvist-A - can be used to predict cork thickness in complete rings at any year of the cork rotation. The model for the prediction of total cork thickness is used to predict total cork thickness from the thickness in complete rings</style></abstract><notes><style face="normal" font="default" size="100%">The following values have no corresponding Zotero field:&lt;br/&gt;publisher: scielopt</style></notes></record></records></xml>