<?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></dates><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></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%">Bakker, Martha M</style></author><author><style face="normal" font="default" size="100%">Govers, Gerard</style></author><author><style face="normal" font="default" size="100%">van Doorn, Anne</style></author><author><style face="normal" font="default" size="100%">Quetier, Fabien</style></author><author><style face="normal" font="default" size="100%">Chouvardas, Dimitris</style></author><author><style face="normal" font="default" size="100%">Rounsevell, Mark</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The response of soil erosion and sediment export to land-use change in four areas of Europe: The importance of landscape pattern</style></title><secondary-title><style face="normal" font="default" size="100%">Geomorphology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">EUROPE</style></keyword><keyword><style  face="normal" font="default" size="100%">Land-use change</style></keyword><keyword><style  face="normal" font="default" size="100%">landscape pattern</style></keyword><keyword><style  face="normal" font="default" size="100%">soil erosion</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><volume><style face="normal" font="default" size="100%">98</style></volume><pages><style face="normal" font="default" size="100%">213-226</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The response of erosion and sediment export to past land-use change has been studied in four agricultural areas of Europe. Three of these areas were subject to land abandonment or de-intensification and one to intensification of land-use practices. Erosion and sediment yield were modeled using the WaTEM/SEDEM model, which combines the RUSLE equation with a sediment routing algorithm. Spatial relationships between the RUSLE C-factor (i.e. land-use) and other erosion and sediment exportdetermining factors (slope, soil erodibility and distance to rivers) were investigated, as these account for non-linearity in the response of erosion and sediment export to land-use change. Erosion and sediment export have decreased enormously in the de-intensified areas, but slightly increased in the intensively cultivated area. The spatial pattern of land-use change in relation to other erosion and sediment export-determining factors appears to have a large impact on the response of soil erosion and sediment export to land-use change. That the drivers of abandonment of arable land and erosion coincide indicates that de-intensification leads to a more favourable landscape pattern with respect to reduction of erosion and sediment export. This mechanism applies not only within the study areas, but also among the European study areas where the process of intensification of some areas and de-intensification of others might result in an overall decrease of erosion and sediment yield through time</style></abstract></record></records></xml>