<?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%">Bakker, Martha M.</style></author><author><style face="normal" font="default" size="100%">van Doorn, Anne M.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Farmer-specific relationships between land use change and landscape factors: Introducing agents in empirical land use modelling</style></title><secondary-title><style face="normal" font="default" size="100%">Land Use Policy</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agent-based modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Alentejo</style></keyword><keyword><style  face="normal" font="default" size="100%">farmers</style></keyword><keyword><style  face="normal" font="default" size="100%">Land abandonment</style></keyword><keyword><style  face="normal" font="default" size="100%">Land use change</style></keyword><keyword><style  face="normal" font="default" size="100%">Marginal areas</style></keyword><keyword><style  face="normal" font="default" size="100%">Portugal</style></keyword><keyword><style  face="normal" font="default" size="100%">Regression</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://linkinghub.elsevier.com/retrieve/pii/S0264837708001294</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">26</style></volume><pages><style face="normal" font="default" size="100%">809 - 817</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Traditional empirical land use change models generally assume one average land use decision-maker. Multi-Agent System (MAS) models, on the other hand, acknowledge existence of different types of agents, but their poor empirical embedding remains a serious handicap. This paper demonstrates how agent information can also be incorporated into empirical, biophysical land use models. Agent (farmer) information was captured in four farmer types by means of cluster analysis. The types were distinguished by age, education, property size, distance from residence, and the number of animals owned. This information was made spatially explicit as each ﬁeld in the study area is related to a farmer, based on cadastral information. Statistical interaction terms between farmer type and landscape factors such as remoteness, soil quality, slope and aspect, were tested for signiﬁcance in describing the observed occurrence of three land use changes: afforestation of arable land, abandonment of arable land, and restoration of the traditional Montado system. Results showed that each farmer type uses different criteria for selecting land for a certain land use change. For example, absentee farmers abandon the most remote areas while other farmer types do not use remoteness as a criterion for abandonment; active farmers select the most accessible ﬁelds for afforestation while other farmer types do not; absentee farmers select their best soils for restoration of the traditional Montado system, while active farmers tend to select poor soils. It is demonstrated that each farmer type shows a different relationship between landscape factors and land use changes. Hence, farmer-speciﬁc relationships between landscape and land use contribute signiﬁcantly to the explanation of land use change.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record></records></xml>