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AFFOREST sDSS: a metamodel based spatial decision support system for afforestation of agricultural land
Authors:Email author" target="_blank">S?GilliamsEmail author  J?Van Orshoven  B?Muys  H?Kros  GW?Heil  W?Van Deursen
Institution:(1) Laboratory for Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Vital Decosterstraat 102, 3000 Leuven, Belgium;(2) Alterra Green World Research, PO box 47, 6700 AA Wageningen, The Netherlands;(3) Department of Plant Ecology, Utrecht University, PO box 80084, 3508 TB, Utrecht, The Netherlands;(4) Carthago, Oostzeedijk beneden 23a, 3062 VK Rotterdam, The Netherlands
Abstract:The concept and structure of the Spatial Decision Support System AFFOREST sDSS dealing with environmental performance (EP) of afforestation on agricultural land in northwestern Europe, is presented. EP is defined in terms of three environmental impact categories: (1) carbon sequestration (2) groundwater recharge and (3) nitrate leaching. The core of the sDSS is a raster based geographical database which allows for queries addressing 14 types of questions on where, how and how long to afforest in order to reach a desired EP or change in EP due to afforestation of the agricultural land. First the study area is differentiated according to the site conditions (based on soil texture, soil drainage, initial land use, yearly average precipitation, and yearly average N deposition. Then the EP for every site class is computed as a function of time using the VSAM metamodel. VSAM results from a conceptual simplification of an existing mechanistic point model, the forest process model SMART2. Input data for the metamodel are limited to the classified site conditions, the tree species used for afforestation, the afforestation strategy and the evaluation time. Besides limiting the data requirements, the metamodel approach allows for rapid and flexible computations on large numbers of pixel classes. Finally, depending on the type of question, the sDSS creates georeferenced outputs based on SQL-type spatial or attribute queries and more advanced multiple goal programming techniques.
Keywords:Afforestation  Decision support  GIS  Goal programming  Optimization
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