Wiki quality control
Name, responsible organisation and contact person
Has full name
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SADfLOR - A Web-Based Forest and Natural Resources Decision Support System
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Has acronym
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SADfLOR web-based
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Has wiki contact person
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Jose Guilherme Borges
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Has wiki contact e-mail
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joseborges@isa.ulisboa.pt
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Software identification
Description
Has description
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SADfLOR is a complete decision support system (DSS) that integrates an information system, a supply driven stand level forest simulator and several optimization tools to support forest management planning.
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Has modelling scope
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Economical indicators, Forest indicators, Social indicators, Climate change, Contribution to forest certification
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Has temporal scale
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Long term (strategic)
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Has spatial context
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Non spatial
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Has spatial scale
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Forest level, Regional/national level, Stand level
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Has objectives dimension
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Multiple objectives
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Has related DSS
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SADPOF
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Has goods and services dimension
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Market non-wood products, Market wood products
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Has decision making dimension
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More than one decision maker/stakeholder, Single decision maker
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Has forest management goal
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biomass estimation, carbon sequestration, climate change impact, economic evaluation, silvicultural regime, species selection, yield prediction, wood supply planning
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Supports tree species
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Eucalyptus, Maritime pine, Stone pine
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Supports silvicultural regime
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even-aged, uneven-aged/natural regeneration, uneven-aged/plantation, coppice system
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Concrete application
Has typical use case
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Forest Management Plans, Research
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Has user profile
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Non-industrial private owners, forest owners associations, private legal entities (cooperatives / corporations / trusts / partnerships / condominium associations), commons, public land managers (i.e. state-owned / federal / cantonal / communal forests), national forest administration, other
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Has country
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Portugal
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Has references about examples of application
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Has number of users
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N/A
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Has number of real-life applications
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N/A
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Has utilisation in education
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N/A
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Has research project reference
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INTEGRAL: Future-oriented Integrated Management of European Forest Landscapes.
MOTIVE: Models for Adaptive Forest Management.
AFORE: Forest Biorefineries – added value from chemicals and polymers by new integrated separation, fractionation and upgrading technologies.
EFORWOOD: Tools for Sustainability Impact Assessment of the Forestry-Wood Chain.
SADRI: Models and Decision Support Systems for Addressing Risk and Uncertainty in Forest Planning (SADRI) - PTDC/AGR-FOR/4526/2012 - funded by the Port
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Has tool dissemination
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Decision Support System Workshop and ForestDSS Community of Practice:
http://forestdss.org/CoP/community/successful-meeting-cop-lisbon
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Decision support techniques used in the DSS
Support of Knowledge Management
Support of social participation
DSS development
Documentation
Has website
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Has online demo
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Has manual
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Yes
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Has technical documentation
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Yes
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Has reference
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Barreiro, S., J. Garcia-Gonzalo, J. G. Borges, M. Tomé and S.Marques 2013. SADfLOR Tutorial. A Web-based Forest and Natural Resources Decision Support System (Work in progress), FORCHANGE, ISA, Lisboa, 39 p.
Miragaia, C. 1998 – "Manual de INfLOR" Documento Nº 1 do Grupo de Economia e Gestão de Recursos Florestais (GEGREF) do Departamento de Engenharia Florestal. Instituto Superior de Agronomia. Lisboa
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Non-wood forest products
SADfLOR is a complete decision support system (DSS) that integrates an information system, a supply driven stand level forest simulator and several optimization tools to support forest management planning:
a) A forest management database - INfLOR - that characterizes the forest areas to be considered for simulation (Miragaia 1998). The set of forest stands to be simulated is defined through an implicit query triggered as the study area is selected.
b) A platform for the definition of the forest management alternatives/prescriptions for the main tree species in Portugal that represent the base for the simulation of forest management alternatives.
c) A prescription driven stand level forest simulator – StandSim – that integrates a set of different forest growth and yield models for the most important Portuguese tree species allowing the growth simulation under different user-defined management scenarios (Tomé et al 2013). Simulation results are of two types:
- Detailed characterization of stands’ growth and yield for the planning horizon;
- Essential information required to run the decision models.
d) An optimization module that encapsulates exact mathematical techniques (Mixed Integer programming, Linear Programing and Goal programming) and Heuristics. The model generator reads outputs from the stand simulator (e.g. harvest volumes) and financial data from the management information module (i.e. interest rate, prices and costs) and creates the coefficients for all needed equations in the problem formulation. Interface with the user is provided through input forms that allow for the specification of the objective function and constraints that define the management problem. Links with external solvers (i.e. commercial software CPLEX and the freeware GLPK) are programmed in the optimisation module in order to solve the mathematical models. Alternatively the system may use a metaheuristic to solve the problem without need to use any external solver.
e) A solution report module allows the user to analyse results in different formats (e.g. tables, graphs and maps).
f) A graphical user interface to support and guide the access to all modules of the DSS.