Difference between revisions of "PYL"

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(GISCAME is a software platform that enables to assess the impact of land use strategies and alternative land use pattern at meso-scale and might be helpful to scale up results from forest DSS.)
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{{DSS description, Name, responsible organisation and contact person
 
{{DSS description, Name, responsible organisation and contact person
|Name=Pimp Your Landscape
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|Name=GISCAME (former: Pimp your landscape)
|Acronym=PYL
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|Acronym=GISCAME
 
|Responsible organisation=ZEF C: Department of Ecology and Natural Resources Management
 
|Responsible organisation=ZEF C: Department of Ecology and Natural Resources Management
 
|Type of the owner organization=research institution
 
|Type of the owner organization=research institution
|Institutional framework=research prototype (R&D project)
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|Institutional framework=other
 
|Contact person for the Wiki=Christine Fürst
 
|Contact person for the Wiki=Christine Fürst
 +
|Contact e-mail for the Wiki=cfuerst@uni-bonn.de
 
|Contact person for the DSS=Christine Fürst
 
|Contact person for the DSS=Christine Fürst
 
|Contact e-mail for the DSS=http://www.zef.de/staff/1162.html
 
|Contact e-mail for the DSS=http://www.zef.de/staff/1162.html
|Additional information=PYL (Pimp Your Landscape) is a cellular automaton based software, which supports the assessment of the impact of land-use management decisions on ecosystem services on regional scale. This includes land-cover changes, changes in sectoral land-use management practices and the establishment of linear and point-shaped infrastructural elements with defined impact area. Target group of the support system are planners on regional and municipal scale. PYL is developed since 2007 in a cooperation of TU Dresden, Chair for Soil Science and Soil Protection (scientific concept) and PiSolution GmbH (Programming, Software Architecture). The software started with supporting participatory planning processes in the Euro-Region Neisse in the Frame of the Interreg-III-a project IT-Reg-EU and was then widened to support regional planning in the frame of the projects ENFORCHANGE and REGKLAM (German Federal Ministry of Education and Research). Furthermore, a more simple version of the software is used in environmental education at school level (DBU project KIDS) and in the frame of e-Learning (Leonardo da Vinci activity TrainForEducation).
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|Additional information=GISCAME is a software platform which is developed since 2007 in a number of 7 German and EU projects and 3 PhD thesis for supporting regional planning and development processes in a science-industry cooperation (SME partner: PiSolution GmbH – source code holder; scientific concept IPR: C. Fürst, now ZEF-C, University of Bonn).  
 
}}
 
}}
 
{{DSS description, Scope of the tool
 
{{DSS description, Scope of the tool
|Description=The software "Pimp your landscape" (PYL) aims firstly at the support of planners by simulating alternative land-use scenarios and by an evaluation of benefits or risks for regionally important ecosystem services. Second, PYL supports an integration of information on environmental and landscape conditions into impact assessment. Third, PYL supports the integration of impacts of planning measures on ecosystem services. PYL allows the decision maker to capture existing knowledge on the impact of single land-use types (and the management practices within the land-use type) and infrastructural elements to assess the relative benefit of planning alternatives for a set of selected (by the planner) ecosystem services.
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|Description=The application area of GISCAME is to assess the impact of land cover and land use change scenarios on planning objectives, which can be expressed by ecosystem services or other, to a higher or lower degree aggregated target figures, such as land use functions or sustainability criteria. As a result, alternative land-use scenarios can be visualized and the platform provides a visual feed-back on their impact on the balance of the selected target figures. Currently, the system is applicable for regions up to 10,000 km², which can be divided into so called “working windows” (standard: 100 km²; other dimensions can be defined individually) to support the visualization of land-use pattern and infrastructural details at mesoscale. 
|Modelling dimension=Economical indicators, Ecological indicators, user defined
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Considering the technical background, GISCAME is a combination of a cellular automaton technology with GIS features and a multicriteria assessment framework for which standardized routines are available in the graphical user interface.  
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|Modelling dimension=Economical indicators, Ecological indicators
 
|Temporal scale=long term (strategic)
 
|Temporal scale=long term (strategic)
 
|Spatial context=spatial with neighbourhood interrelations
 
|Spatial context=spatial with neighbourhood interrelations
 
|Spatial scale=regional/national level
 
|Spatial scale=regional/national level
 
|Objectives dimension=multiple objectives
 
|Objectives dimension=multiple objectives
|Goods and services dimension=market wood products, market services, non-market services
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|Goods and services dimension=market non-wood products, market wood products, market services, non-market services
|Forest management goal=biodiversity evaluation, carbon sequestration, climate change impact, economic evaluation, forest health, natural hazards, nitrate leaching, user defined
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|Forest management goal=biodiversity evaluation, biomass estimation, carbon sequestration, climate change impact, conservation, economic evaluation, landscape quality, non-wood production, soil erosion, water quality, wildlife habitat, wood supply planning, multi-functional, user defined
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|Supported tree species=oriented on forest types, not for specific species
 
|Supported silvicultural regime=user defined
 
|Supported silvicultural regime=user defined
 
|Decision making dimension=more than one decision maker/stakeholder
 
|Decision making dimension=more than one decision maker/stakeholder
 
|Participatory planning tasks supported=defining the problem, exploring options, evaluating options
 
|Participatory planning tasks supported=defining the problem, exploring options, evaluating options
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|Additional information=Supporting interactive scenario building and feed-back processes in decision making
 
}}
 
}}
 
{{DSS description, Concrete application
 
{{DSS description, Concrete application
|Typical use case=PYL is a cellular automaton based software, which supports the assessment of the impact of land-use management decisions on ecosystem services on regional scale. This includes land-cover changes, changes in sectoral land-use management practices and the establishment of linear and point-shaped infrastructural elements with defined impact area. Target group of the support system are planners on regional and municipal scale.
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|Typical use case=Assessment of alternative land use options in the course of regional (development) planning (spatial planning).  
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|User profile=other
 
|Country=Germany
 
|Country=Germany
 
|Number of users=>100
 
|Number of users=>100
|Number of real-life applications=N/A
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|Number of real-life applications=<=30
 
|Utilisation in education: kind of utilisation (demo, use)=used by students
 
|Utilisation in education: kind of utilisation (demo, use)=used by students
|Utilisation in research projects: references=Fürst, C., König, H., Pietzsch, K., Ende, H.P., Makeschin, F. (2010): Pimp your landscape - a generic approach for integrating regional stakeholder needs into land use scenario design and sustainable management support, Ecology and Society 15(3): 34. URL: http://www.ecologyandsociety.org/vol15/iss3/art34/  Fürst, C., Vacik, H., Lorz, C., Potocic, N., Krajter, S., Vuletic, D., Makeschin, F. (in print): How to support forest management in a world of change? Results of some regional studies, Environmental Management. Fürst, C., Volk, M., Makeschin, F. (in print): Squaring the circle - how to combine models, indicators, experts and end-users for integrated land-use management support?, editorial / leading paper, Environmental Management. Fürst, C., Volk, M., Pietzsch, K., Makeschin, F. (in print): Pimp your landscape! A tool for qualitative evaluation of the effects of regional planning measures on ecosystem ser-vices, Environmental Management Fürst, C., Nepveu, G., Pietzsch, K., Makeschin, F. (2009): Comment intégrer des considé-rations multicritères dans la gestion d'un territoire ? "Pimp your landscape" - un essai de planification interactive pour satisfaire les besoins des utilisateurs, Revue forestière française 1-2009, p. 21-35.  Fürst, C., C. Davidsson, K. Pietzsch, M. Abiy, F. Makeschin, C. Lorz, and M. Volk (2008.):“Pimp your landscape” – interactive land-use planning support tool. Transac-tions on the Built Environment (ISSN 1743-3509). Geoenvironment and Landscape Evolution III, p. 219-232.
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|Utilisation in research projects: references=(3) Fürst, C., Frank, S., Witt, A., Koschke, L., Makeschin, F. (acc.): Multi-criteria assessment of the effects of integrated land-use strategies on the provision of Ecosystem Services on regional scale, Journal of Environmental Management, Elsevier, SI RegioResources 21. (9) Fürst, C., Lorz, C., Makeschin, F. (2011): Integrating land management aspects into an assess-ment of the impact of land cover changes on Ecosystem Services, International Journal of Biodi-versity Science, Ecosystem Services Management. 7(3), 168-181. DOI:10.1080/21513732.2011.611119. (10) Fürst, C., Pietzsch, K., Frank, S., Witt, A., Koschke, L., Makeschin, F. (2012): How to better consider sectoral planning information in regional planning - example afforestation and conversion. Journal of Environmental Planning and Management 2012, 1-29, http://dx.doi.org/10.1080/09640568.2011.630067. (13) Fürst, C., Vacik, H., Lorz, C., Potocic, N., Krajter, S., Vuletic, D., Makeschin, F. (2010): How to support forest management in a world of change? Results of some regional studies, Environmental Management 46(6), p.941-952. (14) Fürst, C., König, H., Pietzsch, K., Ende, H.P., Makeschin, F. (2010): Pimp your landscape - a generic approach for integrating regional stakeholder needs into land use scenario design and sustainable management support, Ecology and Society 15(3): 34, 25 pp. (15) Fürst, C., Volk, M., Pietzsch, K., Makeschin, F. (2010): Pimp your landscape! A tool for qua-litative evaluation of the effects of regional planning measures on ecosystem services, Environmental Management 46(6), p. 953-968.
|Tool dissemination=see: www.pimpyourlandscape.com/pyls/index.html (professional version) and www.letsmap.de (environmental education version, for free)
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|Tool dissemination=see: http://www.giscame.com/giscame/index.html and www.letsmap.de (environmental education version, for free)
|Additional information=PYL has three main objectives. First, it aims at the support of planners by an initial simulation of alternative land-use scenarios and by an initial evaluation of possible benefits or risks for regionally important ecosystem services. Regionally important means that these services are specified and selected by stakeholders involved in the evaluation and planning process (see chapter 2, section evaluation procedure). Second, PYL supports an integration of information on environmental and landscape conditions, such as climate data, pedological / geological and topographical data into the impact assessment. Third, PYL supports the integration of different impacts of planning measures on ecosystem services.
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|Additional information=Software is tested and applied within Europe and now extended to South-America and Africa. Main focus is regional / spatial planning at meso-scale.  
To achieve these objectives, a technological approach was chosen that is based on a 2-D cellular automaton. The demand to integrate variable environmental parameters in addition to the land-use type as a basic attribute of a cell made it necessary to modify the original concept of a cellular automaton. The platform was complemented by some features of a Geographical Information System (GIS). These features enable the import and overlap of different information layers and the assignment of different attributes to the cells. Additionally, features were introduced that enable one to “draw” non-cellular infrastructural elements into the maps. These can be linear elements (e.g. roads or rivers), irregular spatial elements (e.g. water bodies) and point shaped elements with a spatial impact gradient (e.g. (chemical) industrial factories or power plants). To assess the impact of changes on landscape level on ecosystem services, a multicriteria assessment approach is integrated as third module within the PYL concept.  
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Apps are Water Erosion Risk Assessment, Landscape Metrics Analysis, Attribute-Action-Management-System and activated Cellular Automaton (use of transition probabilities instead manual scenario design).  
 
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[[File:PYL.jpg]]
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The evaluation of the impact of planning measures follows a hierarchical approach and is carried out as moderated process. The evaluation starts (a) by selecting the land use types and by defining additionally types and size categories of linear, irregular or point shaped infrastructural elements, which are of regional relevance. (b) The user has to specify the environmental services of regional interest. In a subsequent step, the resulting value matrix must be filled out. Indicator sets are selected on the basis of literature analysis and expert knowledge, which provide regionally suitable information on the impact of the land use types and infrastructural elements on environmental services. The final identification of appropriate indicator sets is realized in several feed-back loops with regional experts. Based on this aggregated information, the impact of each land use type and each type and size categories of infrastructural elements on each environmental service or function is ranked on a relative scale from 0 (lowest value) to 100 (highest value). The value matrix contains initial impact values of the land use types and infrastructural elements on the environmental services. Note that in the evaluation philosophy of Pimp your landscape, the initial value of a land use type for a environmental service represents the maximum in the regional context, which can only be reduced (a) with regard to environmental cell attributes from additional information layers such as height above sea level, mean annual precipitation and temperature, soil type and exposition. (b). The impact of the cell environment (homogeneous land use types vs. different land use types) and neighborhood type (edge to edge vs. corner to corner) can impact the original maximum value. The consideration of these two impact factors (a) and (b) in the final evaluation result is supported by rule setting options.
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Furthermore, landscape structure aspects (landscape metrics) and temporal processes (ecosystem development in pre-defined time slots) are included to corrects the evaluation results.
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[[File:Evaluation.jpg]]
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}}
 
}}
 
{{DSS description, Installation and support
 
{{DSS description, Installation and support
 
|Status=used (stable and upgraded/updated recently)
 
|Status=used (stable and upgraded/updated recently)
 
|Accessibility=restricted access
 
|Accessibility=restricted access
|Commercial product=No
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|Commercial product=Yes
|Deployment cost=N/A
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|Deployment cost=<= 1‘000€
 
|Installation requirements=none.
 
|Installation requirements=none.
 
|Computational limitations=none.
 
|Computational limitations=none.
 
|User support organization=Some automatical features (help) are yet included, the manual is currently in development. Support is provided directly by the developers (training courses and technical support).
 
|User support organization=Some automatical features (help) are yet included, the manual is currently in development. Support is provided directly by the developers (training courses and technical support).
 +
|Support team size=7
 
|Maintenance organization=PiSolution GmbH
 
|Maintenance organization=PiSolution GmbH
|Additional information=The software development was accompanied by extensive user requirements analysis and several test series. PYL is a semi-commercial product, as its further development is mostly done within R&D projects, while interrim versions are yet in test and use. For scientific purposes (R&D cooperations), the use is for free. For the use in practice (planning support and environmental education, a commercial software licence is available. Actually, an interdisciplinary team of 8 scientists (TUD) and 3 software engineers (PiSolution) develops the software for the application in assessing regional climate change mitigation strategies in land-use in Saxony (REGKLAM, MORO project Klimafit), testing alternatives for open-cast mining areas restoration in Saxony (regional planning association Western Saxony), deriving optimized strategies for catchment area management in Brazil (IWAS, German Federal Ministry of Education and Research / EMBRAPA).
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|Additional information=The software is available on request as professional planning version and for environmental education purposes. Software will be provided for free within research projects where the developers ZEF / PiSolution GmbH are partners or with flexible licence fee model for other purposes.
|Price=
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}}
 
}}
 
{{DSS description, Data, data model and data management
 
{{DSS description, Data, data model and data management
|Input data requirements=Biophysical data, Climate data, Forest inventory data, Ecological data, Social values data, Socioeconomic data, Logistic data, user defined
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|Input data requirements=Biophysical data, Climate data, Forest inventory data, Ecological data, Socioeconomic data, user defined
|Format of the input data=net services, spreadsheet, other
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|Format of the input data=text file, net services, image data, other
 
|Data validation=error handling
 
|Data validation=error handling
|Format of the output data=graph, map
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|Format of the output data=graph, map, pre-defined report
 
|Internal data management=database
 
|Internal data management=database
|Database=other
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|Database=MySQL, PostgreSQL, Oracle, other
 
|GIS integration=other
 
|GIS integration=other
 
|Data mining=N/A
 
|Data mining=N/A
|Additional information=The cellular automaton technique supports the integration of existing knowledge on the mutual impact of neighbouring land-use types and the definition of rules describing the impact of (actual and future) environmental and social parameters on (i) on ability of a land-use type or management practice to contribute to the provision of ecosystem services and (ii) on the probability of a transformation of a land-use type into another.
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|Additional information=Minimum data request are land cover / land use data. Further, DEM, soil maps, regionalized climate data, layers from regional planning (priority / preference areas, protected areas) and cadastral maps can be used. For the multicriteria evaluation, statistical data are requested.  
The GUI allows the user to define and select first the set of land-cover classes / land-use classes, which should be considered within the decision process;
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In a next step the ecosystem services set has to be defined; the resulting value matrix has to be filled with values describing the relative impact of each land-cover class / land-use type on the ecosystem services on a scale from 0 (worst case) to 100 (best case). The basis of these values is normally worked out on regional level in a moderated process together with the land-users.
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[[File:Matrix.jpg]]
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In a next step, the mutual impact of land-cover classes / land-use types on their ability to contribute to the provision of ecosystem services and the respective impact of environmental and socio-economical parameters has to be specified.
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[[File:proximity.jpg]]
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Then, rules have to be set up, which define the parameters (cell attributes, proximities), which restrict land-cover / land-use changes.
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[[File:planning restrictions.jpg]]
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If all these information are provided, the user can start the simulation of land-cover / land-use changes / scenarios of constructing infrastructural elements.
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[[File:scenario tools.jpg]]
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For the data input the following input layer are required:
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land-cover / land-use: Corine Landcover 2000/2006; Europmap
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environmental data: DGM, site / soil maps, geographical maps, regionalized data on precipitation, temperature, insoluation, evapotranspiration, etc. (different CC scenarios); sectoral data (forest inventory maps, agricultural maps, etc.)
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socio-economical data: cadastral map
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planning data: GIS layers with preference / reserved areas for specific environmental services and / or specific land-cover classes; attribute fill functionality
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}}
 
}}
 
{{DSS description, Models and methods, MBMS, decision support techniques
 
{{DSS description, Models and methods, MBMS, decision support techniques
 
|Forest models=N/A
 
|Forest models=N/A
 
|Ecological models=N/A
 
|Ecological models=N/A
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|Social models=location-specific stakeholder values, monetary values of non-market products and services
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|MCDM methods=Analytical Hierarchy Process (AHP), Other discrete MDCM, Other multi-agent MCDM
 
|Optimisation package=N/A
 
|Optimisation package=N/A
 
|Optimisation algorithm=N/A
 
|Optimisation algorithm=N/A
|Risk evaluation=N/A
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|Risk evaluation=user defined
 
|Uncertainty evaluation=sensivity analysis
 
|Uncertainty evaluation=sensivity analysis
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|Planning scenario=GISCAME is made for either mulit-participant scenario design or - by use of the CA - for scenario design depending from integrative transition probabilities for which starting conditions, proximities, environmental basics and stakeholder opinion are applied.
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|Additional information=GISCAME makes use of modelled results, but does not include models for reasons of a comfortable user performance in webGIS environment. Optimization algorithm for spatial planning are excluded as an optimization would request for clear optimization criteria which do not exist at regional scale. Focus is therefore on multiple scenario testing and feed-back in decision processes and not on decision making.
 
}}
 
}}
 
{{DSS description, Support of knowledge management process
 
{{DSS description, Support of knowledge management process
|Supported KM processes=Knowledge Identification, Knowledge Storage
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|Supported KM processes=Knowledge Identification, Knowledge Assessment, Knowledge Transfer
 
|Integrated KM techniques to identify and structure knowledge=Database
 
|Integrated KM techniques to identify and structure knowledge=Database
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|Integrated KM techniques to transfer and share knowledge=Web portal (e.g. Online Encyclopedia / Online Scientific Journal / Web sites), Web based training
 
|Integrated KM techniques to analyse and apply knowledge=Intelligent Agent, Expert system (e.g Knowledge Based Systems)
 
|Integrated KM techniques to analyse and apply knowledge=Intelligent Agent, Expert system (e.g Knowledge Based Systems)
 
}}
 
}}
 
{{DSS description, Support of social participation
 
{{DSS description, Support of social participation
 
|Participatory planning tasks supported=defining the problem, exploring options, evaluating options
 
|Participatory planning tasks supported=defining the problem, exploring options, evaluating options
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|Additional information=Focus is laid on exploring and evaluating alternative land use scenarios including land management options (different tillage systems / silvicultural strategies)
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|Stakeholder identification support=Stakeholder identification is part of the regional adaptation of the platform
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|Planning criteria formation support=Identifcation of the "planning criteria" (in our case ecosystem services) is part of the regional adaptation of the platform and included in a standardized process to built the knowledge base for the multicriteria assessment.
 
|Planning process monitoring and evaluation=
 
|Planning process monitoring and evaluation=
 
|Planning outcome monitoring and evaluation=
 
|Planning outcome monitoring and evaluation=
Line 106: Line 93:
 
|User access control=Yes
 
|User access control=Yes
 
|Parameterised GUI=No
 
|Parameterised GUI=No
|User-friendliness of GUI=user control
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|User-friendliness of GUI=consistency, user control, appropriate presentation, error handling and recovery, flexibility, guidance and help
 
|Map interface=2D
 
|Map interface=2D
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|GUI technology=Html + Javascript, OpenGL
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|Additional information=Optimized for Firefox and IE
 
}}
 
}}
 
{{DSS description, System design and development
 
{{DSS description, System design and development
|Additional information=The software development was accompanied by extensive user requirements analysis and several test series.
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|Software development methodology=1) user requirements analysis following Delphi approach, 2) CA, GIS and ME, 3) version control and buck tracking system, 4) iterative development since 2007 with permanent testing and user feed-back, bottom up approach in designing software architecture and features (OOP), 5) Used for regional planning, user training individual to provide optimal mix of Apps, 6) Version management and feed-back collection handled by the software enterprise PiSolution GmbH, 7) now adaptation for land use planning in Western Africa
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|Methods applied in the requirement phase=Delphi Study + Mind Mapping
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|Methods applied in the design phase=Test of existing technological solutions - prototyping
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|Methods applied in the construction phase=OOP
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|Methods applied in the testing phase=iterative testing with increasing number of test individuals
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|Methods applied to ensure software quality=permanent web-based (open file) feed-back collection supported
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|Development start year=2007
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|Number of development years (100% equivalent)=15
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|Development team size=7
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|Team profiles=scientist 1: overall development concept, structure and features, scientist 2: multi-criteria assessment methods, scientist 3: landscape metrics analysis, scientist 4: GIS programming / risk assessment procedures, software engineer 1: bundling scientific concepts + user requirements, software engineer 2: translation into software architectural approach, code structure and optimal language application, software engineer 3: code programming; users + expert panel: testing, new requirements, adaptation to other use cases
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|Number of forest specialists in the development team=1
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|Number of users participating in specification=47
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|Additional information=The core team is seven persons, but depending from the application case / project, additional competences, e.g. in IWRM, agriculture / agroforestry, etc. join the team for a while.
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|KM tools used during the development of the DSS=Workflow, Web portal, Community of Practice, Intelligent Agent, Expert System
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|Stakeholder identification support=part of the standardized process in the system adaptation
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|Planning criteria formation support=part of the standardized MCA procedure
 
}}
 
}}
 
{{DSS description, Technological architecture, integration with other systems
 
{{DSS description, Technological architecture, integration with other systems
 
|System type=client-server (web)
 
|System type=client-server (web)
|Scalability=No
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|Application architecture=GUI with workflow manager, Kernel with PimpEngine (constants / config), 3rd party software / object manager with Log Manager, DB Manager and PimpObject Manager.
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|Communication architecture=TCP/IP; HTTP
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|Operating system=Linux/Unix, Windows
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|Programming language=Java, PHP, Visual Basic
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|Scalability=Yes
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|Interoperability=yes
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|Integration with other systems=standardized file exchange formats .shp and .txt; I/O interface by OSM-to-Pimp routine
 
|Related tools=Cooperation with MANUELA - a grid-based system to assess the ecological impact of agricultural management practices. So far no Web-presentation available.
 
|Related tools=Cooperation with MANUELA - a grid-based system to assess the ecological impact of agricultural management practices. So far no Web-presentation available.
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|Additional information=interfaces to growth and yield models are currently developed and tested
 
}}
 
}}
 
{{DSS description, Ongoing development
 
{{DSS description, Ongoing development
|Adaptation effort (man years)=N/A
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|Adaptation effort (man years)=parametrised by the supplier
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|Additional information=Well trained user can parameterize it on his or her own, normally parameterization is offered as a service
 
}}
 
}}
 
{{DSS description, Documentation
 
{{DSS description, Documentation
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|Website=http://www.giscame.com/giscame/index.html
 
|Manual=No
 
|Manual=No
|Technical documentation=No
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|Technical documentation=Yes
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|References=ürst, C., Frank, S., Witt, A., Koschke, L., Makeschin, F. (acc.): Multi-criteria assessment of the effects of integrated land-use strategies on the provision of Ecosystem Services on regional scale, Journal of Environmental Management, Elsevier, SI RegioResources 21.
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Frank, S., Fürst, C., Koschke, L., Makeschin, F. (2011): Towards the transfer of the ecosystem service concept to landscape planning using landscape metrics. DOI: 10.1016/j.ecolind.2011.04.027, Ecological Indicators
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Fürst, C., Lorz, C., Makeschin, F. (2011): Integrating land management aspects into an assess-ment of the impact of land cover changes on Ecosystem Services, International Journal of Biodi-versity Science, Ecosystem Services Management. 7(3), 168-181. DOI:10.1080/21513732.2011.611119
 +
Koschke, L., Fürst, C., Frank, S., Makeschin, F (2012): A multi-criteria approach for an inte-grated land-cover-based assessment of ecosystem services provision for planning support. Ecological Indicators 21, 54-66.
 +
Fürst, C., Pietzsch, K., Frank, S., Witt, A., Koschke, L., Makeschin, F. (2012): How to better consider sectoral planning information in regional planning - example afforestation and conversion. Journal of Environmental Planning and Management 2012, 1-29, http://dx.doi.org/10.1080/09640568.2011.630067
 +
 
 +
|Additional information=References can be sent on request, please contact: cfuerst@uni-bonn.de.
 
}}
 
}}
 
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Application areas related to forestry can be assessment of potential afforestation areas, impact assessment of silvicultural strategies at meso-scale, assessment of potentials of agroforestry systems and short rotation coppices at regional scale.
=== Support for specific thematic areas of a problem type  ===
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* Silvicultural (conversion / afforestation: relative benefit of alternative forest ecosystem types on landscape level)
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* Conservation (ecosystem services)
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* Development choices / land use zoning (alternative land-cover / land-use scenarios)
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* Policy/intervention alternatives (impact of regional / municipal planning measures, support within participatory planning processes)
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* Sustainability impact assessment (SIA)(impact on ecosystem services)
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=== Capability to support decision making phases  ===
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(Click [[Simon's decision making model|here]] to see a more detailed explanation)
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# Intelligence phase: PYL helps to assess the impact and relative benefit of alternative management and planning decisions on regionally important ecosystem services. The problem identification is given within the frame of regional (rural) development, where alternative scenarios have to be evaluated and relevant evaluation information has to be collected and aggregated first. A decision objective is defined within the planning process normally in a hierarchical order from development targets on national / state level (within the frame of political settings), local and regional development targets as "translation" of the global planning objectives and local objectives defined by the participating planning actors (regional planners, municipalities, administrations and NGO´s). Evaluation criteria are defined within the process of identifying and prioritzing regionally important ecosystem services and the underlying indicator and criteria sets to be used for the evaluation.
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# Design phase: PYL supports the fast assessment of alternative planning scenarios, which can be designed directly at the user interface or can be imported as geo-referenced layers (parameter setting). PYL does not give advice, which alternative to choose, but provides information on their impact on the ecosystem services compared to the starting situation and supports also to simulate e.g. the impact of alternative CC scenarios or landownership models(can be imported as GIS layers).
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# Choice phase
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PYL supports the screening of alternative scenarios, but not the final decision, which scenario to choose, as it is designed for participatory planning processes in regional (spatial) planning, where decisions are always made in the course of a more or less public consultation process and preferences on ecosystem services might change within such a process.
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# Monitor phase (also called review or implementation)
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The finally prefered land-cover / land-use scenario alternative(s) can be exported as shape or text file and is(are) then included as GIS file in the digital and printed planning materials on regional level (regional plan - map material).
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=== Typical spatial extent of application  ===
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Regional / landscape scale; maximum resolution (cells) 100*100m² (CLC 2000/2006) or 25*25 m² (Euromap).
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[[:Category:DSS_by_spatial_level]]
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=== Forest data input  ===
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digital land-cover maps with (if possible) embedded forest inventory information on stand types; for planning scenarios digital maps with development targets for the stands (future stand type). Data provenance: CLC 2000/2006 + forest inventory (if available). The system uses exclusively raster data (georeferenced) and - besides land-cover data - any available GIS data, which give information on important environmental / socio-economical parameters (cell attributes), which should be integrated in the evaluation. The data handling is supported by a routine called "OSM-to-Pimp", where a data container is automatically generated on the basis of Open-Street-Map (OSM) for infrastructural data, the selected land-cover data and all other available (geo-referenced) data, which can be selected within the data-packing routine.
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For the evaluation, information on indicators and criteria to assess the impact of land-use changes on ecosystem services is needed. This can be based on literature / published data, monitoring data / data bases, statistical data and can (should often) be completed by expert knowledge to fill data gaps considering not well described land-cover classes or land-management practices.
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== Decision Support ==
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=== Definition of management interventions ===
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Scenario simulation of what happens if (a) a forest ecosystem type is converted into another, or (b) afforestation is done, or (c) a forest is divided by a high-way. Other possibility: simulation what happens to existent forests under Climate Change / changing socio-economical conditions and how to compensate this. Temporal processes (forest growth) are reflected by time slots, which can be defined by the user.
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=== Typical temporal scale of application ===
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Strategic level
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=== Types of decisions supported  ===
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**strategic decisions
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**administrative decisions
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**organizing decisions
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**command decisions
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** coordination decisions
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*decision making situation
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** collegial
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**Bargaining / participative decision making
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=== Decision-making processes and models ===
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=== Spatial analysis capabilities  ===
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* integrated capabilities: integration of GIS / cellular automaton / evaluation basis
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* provides standard data import/export formats: standardized interface to GIS export / import
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* allows spatial analysis: multi layering of different maps, selection of objects based on selection criteria, aggregation by attributes (e.g. areas of similar characteristics, analysis with digital terrain model and other parameters (landscape metrics, erosion risks, in future: drought risks)
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=== Abilities to address interdisciplinary, multi-scaled, and political issues  ===
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Evaluate interactions between different basic information types (biophysical, economic, social). Produce coordinated results for decision makers operating at landscape scale to facilitate social negotiation and learning
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== System ==
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=== System requirements  ===
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* Operating Systems: Web-based;
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* Other software needed: not necessarily, but to make full use of all functions, OSM-to-Pimp and a GIS would be helpful
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* Development status: current version supports impact assessment, development version includes also risk assessment and landscape metrics. Free version for environmental education at school level available under www.letsmap.de.
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=== Architecture and major DSS components ===
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Object oriented programming approach in PhP using Oracle as data-base application, which can be used web-based or also installed as stand-alone solution on a server (support of master and slave approach) or the PC. The software is not Open Source.
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=== Usage ===
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Research level use: Use in the frame of several research projects
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Administrative use: support initial estimate of planning measures on regional level (regional planning authorities)
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=== Computational limitations ===
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So far not known, but in the case of large project regions, the up-loading of new scenarios in the web-application might cause problems when using firefox.
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=== User interface ===
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The GUI is highly interactive and supports the user by simple symbols and - when initiating the system - with a number of facilitated routines. There is no special programming knowledge necessary, but the user should be a professional in planning to understand the right use of the system. The following graphs illustrate a typical usage scenario.
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[[File:test case compensation.jpg]]
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[[File:urban sprawl.jpg]]
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[[File:compensation.jpg]]
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[[File:climate change.jpg]]
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[[File:alternative conversion.jpg]]
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=== Documentation and support ===
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Some automatical features (help) are yet included, the manual is currently in development. Support is provided directly by the developers (training courses and technical support).
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=== Installation ===
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* Prerequisite knowledge: None (web-based, installation-CD)
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* Cost: on demand
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* Demo: in development
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==References==
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Fürst, C., König, H., Pietzsch, K., Ende, H.P., Makeschin, F. (2010):  Pimp your landscape - a generic approach for integrating regional stakeholder needs into land use scenario design and sustainable management support, Ecology and Society 15(3): 34.
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URL: http://www.ecologyandsociety.org/vol15/iss3/art34/
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Fürst, C., Vacik, H., Lorz, C., Potocic, N., Krajter, S., Vuletic, D., Makeschin, F. (in print):  How to support forest management in a world of change? Results of some regional studies, Environmental Management.
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Fürst, C., Volk, M., Makeschin, F. (in print): Squaring the circle - how to combine models, indicators, experts and end-users for integrated land-use management support?, editorial / leading paper, Environmental Management.
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Fürst, C., Volk, M., Pietzsch, K., Makeschin, F. (in print): Pimp your landscape! A tool for qualitative evaluation of the effects of regional planning measures on ecosystem ser-vices, Environmental Management
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Fürst, C., Nepveu, G., Pietzsch, K., Makeschin, F. (2009): Comment intégrer des considé-rations multicritères dans la gestion d'un territoire ? "Pimp your landscape" - un essai de planification interactive pour satisfaire les besoins des utilisateurs, Revue forestière française 1-2009, p. 21-35.
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Fürst, C., C. Davidsson, K. Pietzsch, M. Abiy, F. Makeschin, C. Lorz, and M. Volk (2008.):“Pimp your landscape” – interactive land-use planning support tool. Transac-tions on the Built Environment (ISSN 1743-3509). Geoenvironment and Landscape Evolution III, p. 219-232.
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===External resources===
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see: www.pimpyourlandscape.com/pyls/index.html (professional version) and www.letsmap.de (environmental education version, for free)
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Revision as of 13:16, 18 September 2012

Template:DSS description, Name, responsible organisation and contact person Template:DSS description, Scope of the tool Template:DSS description, Concrete application Template:DSS description, Installation and support Template:DSS description, Data, data model and data management Template:DSS description, Models and methods, MBMS, decision support techniques Template:DSS description, Support of knowledge management process Template:DSS description, Support of social participation Template:DSS description, User interface and outputs Template:DSS description, System design and development Template:DSS description, Technological architecture, integration with other systems Template:DSS description, Ongoing development Template:DSS description, Documentation Application areas related to forestry can be assessment of potential afforestation areas, impact assessment of silvicultural strategies at meso-scale, assessment of potentials of agroforestry systems and short rotation coppices at regional scale.