<?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%">Borges, P. J.</style></author><author><style face="normal" font="default" size="100%">Fragoso, R.</style></author><author><style face="normal" font="default" size="100%">Garcia-Gonzalo, J.</style></author><author><style face="normal" font="default" size="100%">Borges, J. G.</style></author><author><style face="normal" font="default" size="100%">Marques, S.</style></author><author><style face="normal" font="default" size="100%">Lucas, M. R.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Assessing impacts of Common Agricultural Policy changes on regional land use patterns with a decision support system</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%">Agricultural policy</style></keyword><keyword><style  face="normal" font="default" size="100%">decision support system</style></keyword><keyword><style  face="normal" font="default" size="100%">Land use pattern</style></keyword><keyword><style  face="normal" font="default" size="100%">mathematical programming</style></keyword><keyword><style  face="normal" font="default" size="100%">Simulation</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/S1389934109001178</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">111 - 120</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper discusses research aiming at assessing Common Agricultural Policy impacts on agriculture and forestry. For this purpose an approach is developed that includes a linear programming model to estimate the Positive Mathematical Programming production cost function coefﬁcients of current agricultural– forestry activities. It further includes a heuristic — simulated annealing — to generate solutions for each policy scenario. This model base approach is integrated within a decision support system (DSS) for testing purposes. The DSS further encompasses a relational database that stores agricultural–forestry technical and economic data and a geographic information system that stores topological data of regional farm-type land units. The DSS Graphical User Interface provides tabular and geographical reporting capabilities. Results are discussed for an application to the Alentejo region in Southern Portugal. Results demonstrate the usefulness and relevance of the proposed approach to assess the impact of changes in prices and in agricultural policy on land use patterns and on forestry</style></abstract><issue><style face="normal" font="default" size="100%">2</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><authors><author><style face="normal" font="default" size="100%">Costa, A.</style></author><author><style face="normal" font="default" size="100%">Oliveira, A. C.</style></author><author><style face="normal" font="default" size="100%">Vidas, F.</style></author><author><style face="normal" font="default" size="100%">Borges, J. G.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An approach to cork oak forest management planning: a case study in southwestern Portugal</style></title><secondary-title><style face="normal" font="default" size="100%">European Journal of Forest Research</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cork harvesting</style></keyword><keyword><style  face="normal" font="default" size="100%">Cork oak forest management</style></keyword><keyword><style  face="normal" font="default" size="100%">Harvest scheduling</style></keyword><keyword><style  face="normal" font="default" size="100%">Linear programming</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%">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/s10342-009-0326-y</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">129</style></volume><pages><style face="normal" font="default" size="100%">233 - 241</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper presents results of research aiming at the development of tools that may enhance cork oak (Quercus suber L.) forest management planning. Speciﬁ- cally, it proposes an hierarchical approach that encompasses the spatial classiﬁcation of a cork oak forest and the temporal scheduling of cork harvests. The use of both geographical information systems and operations research techniques is addressed. Emphasis is on the achievement of cork even ﬂow objectives. Results from an application to a case study in the Charneca Plioce´nica of Ribatejo in southern Portugal encompassing a cork oak forest extending over 4.8 thousand ha are discussed. They suggest that the proposed approach is capable of effective spatial classiﬁcation of cork oak management units. They further suggest that it may be used to select optimal cork even ﬂow scheduling strategies. Results also show that the proposed approach may lead to a substantial increase in net present value when compared to traditional approaches to cork oak forest management planning.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record></records></xml>