Difference between revisions of "EcologicalSiteClassification"

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Latest revision as of 15:42, 2 April 2013

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Has flag N/A

Name, responsible organisation and contact person

Has full name Ecological Site Classification
Has acronym ESC
Has wiki contact person Duncan Ray
Has wiki contact e-mail duncan.ray@forestry.gsi.gov.uk

Software identification

Has software EcologicalSiteClassification.Software

Description

Has description ESC is a PC-based DSS that supports a methodology for the evaluation of the suitability of different tree species and woodland communities as defined in the National Vegetation Classification (NVC) for Great Britain, and also predicting yield in the form of a site index, on the UK forest land.

This tool encourages the decision makers on the election of a suitable forest species according to their site soil properties and climatic data, instead of selecting an inadequate species and then trying to modify site characteristics to make it more suitable. It also provides the suitability of the species according to the expected evolution of the climate, and predicts the potential yield in the form of a site index. The number of tree species considered is 25, and there are also 20 native woodland types.

The site information is linked to ESC suitability models for 20 of the 25 NVC woodland communities (W1-W20) and 25 species of tree using a 'fuzzy membership function' approach. The fuzzy mem

Has modelling scope Forest indicators, Ecological indicators, Climate change
Has temporal scale Long term (strategic), Medium term (tactical), Short term (operational)
Has spatial context Spatial with no neighbourhood interrelations
Has spatial scale Forest level, Regional/national level, Stand level
Has objectives dimension Multiple objectives
Has related DSS
Has goods and services dimension Market wood products, Non-market services
Has decision making dimension More than one decision maker/stakeholder
Has forest management goal afforestation management, climate change impact, ecological classification, fertilization, forest ecology, species selection, yield prediction
Supports tree species
Supports silvicultural regime even-aged, uneven-aged/natural regeneration, uneven-aged/plantation

Concrete application

Has typical use case
Has user profile Non-industrial private owners, forest owners associations, national forest administration, NGO, service providers, private legal entities (cooperatives / corporations / trusts / partnerships / condominium associations), public land managers (i.e. state-owned / federal / cantonal / communal forests)
Has country United Kingdom
Has references about examples of application
Has number of users >100
Has number of real-life applications >100
Has utilisation in education used by students
Has research project reference
Has tool dissemination

Decision support techniques used in the DSS

Has decision support techniques EcologicalSiteClassification.Decision support techniques

Support of Knowledge Management

Has knowledge management processes EcologicalSiteClassification.Knowledge management process

Support of social participation

Has support for social participation EcologicalSiteClassification.Support of social participation

DSS development

Has DSS development EcologicalSiteClassification.Description of DSS development

Documentation

Has website * ESC project websiteURIs of the form "* ESC project website" are not allowed.
Has online demo
Has manual No
Has technical documentation No
Has reference ↑ REYNOLDS K.M., TWERY M., LEXER M.J., VACIK H., RAY D., SHAO G,. et BORGES J.G.: Decision Support Systems in Forest Management IN BURSTEIN F. et HOLSAPPLE C. W. (EDS.) (2008): Handbook on Decision Support Systems 2: Variations. Springer Berlin Heidelberg. 800 pp.

↑ REYNOLDS K.M., TWERY M., LEXER M.J., VACIK H., RAY D., SHAO G,. et BORGES J.G.: Decision Support Systems in Forest Management IN BURSTEIN F. et HOLSAPPLE C. W. (EDS.) (2008): Handbook on Decision Support Systems 2: Variations. Springer Berlin Heidelberg. 800 pp. ↑ RAY D., J.CLARE et A.MILNER (2001): An assessment od the ESC yield model for Sitka spruce, Unpublished Forest Research Internal Report. Edinburgh: Forestry Commission ↑ RAY D. (2001): A PC-based Decision Support System for British Forests. User’s Guide. Version 1.7. Forestry Commission. (pdf)