Difference between revisions of "ESC"

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(Created page with '== General System description == System name: Ecological Site Classification Acronym: ESC === Brief overview === Part of the [[GB Forestry DSS |GB Forestry Decision Support …')
 
(typo fix (missing http:// prefix on url))
 
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{{DSS, Wiki quality control
 +
|Has flag=yellow
 +
}}
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{{DSS, Name, responsible organisation and contact person
 +
|Has full name=Ecological Site Classification
 +
|Has acronym=ESC
 +
|Has wiki contact person=Sibhatu Abera
 +
|Has wiki contact e-mail=sibhat21@yahoo.com
 +
}}
 +
{{DSS, Software identification
 +
|Has software=ESC.Software
 +
}}
 +
{{DSS, Description
 +
|Has description=ESC is a PC-based DSS software can be accessed via a web browser, 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,  predicting yield in the form of a site index, on the UK forest land and also future climate analysis . 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.
 +
|Has modelling scope=Forest indicators, Ecological indicators, Social indicators
 +
|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=ESC
 +
|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, economic evaluation, fertilization, forest ecology, wood supply planning
 +
|Supports tree species=20-25
 +
|Supports silvicultural regime=even-aged, uneven-aged/natural regeneration, uneven-aged/plantation
 +
}}
 +
{{DSS, Concrete application
 +
|Has typical use case=01
 +
|Has user profile=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, NGO, service providers, local communities, local administration, IT company, other
 +
|Has country=United Kingdom
 +
|Has references about examples of application=An Ecological Site Classification for Forestry in Great Britain”, Graham Pyatt, Duncan Ray and Jane Fletcher, Forestry Commission Bulletin 124, 2001
 +
|Has number of users=>100
 +
|Has number of real-life applications=>100
 +
|Has utilisation in education=used by students
 +
|Has research project 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. Springe
 +
|Has tool dissemination=allow the forest manager to use advanced decision support tools, such as expert and knowledge based systems, multi-criteria techniques as well as communication and visualization tools. European experience with developing and applying forest DSSs for forest management provides a solid foundation for
 +
}}
 +
{{DSS, Decision support techniques used in the DSS
 +
|Has decision support techniques=ESC.Decision support techniques
 +
}}
 +
{{DSS, Support of Knowledge Management
 +
|Has knowledge management processes=ESC.Knowledge management process
 +
}}
 +
{{DSS, Support of social participation
 +
|Has support for social participation=ESC.Support of social participation
 +
}}
 +
{{DSS, DSS development
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|Has DSS development=ESC.Description of DSS development
 +
}}
 +
{{DSS, Documentation
 +
|Has website=http://www.forestry.gov.uk/fr/esc
 +
|Has online demo=https://www.eforestry.gov.uk/forestdss?app=esc
 +
|Has manual=Yes
 +
|Has technical documentation=Yes
 +
|Has reference=* [http://www.forestresearch.gov.uk/esc ESC project website]
 +
* [http://www.forestdss.org.uk/geoforestdss/esc451.jsp Forest Research Decision Support Portal Version 2.0 ]
 +
* [http://www.eforestry.gov.uk/forestdss Forest Research Decision Support Portal] (note registration required)
 +
* [http://www.forestresearch.gov.uk/pdf/escfsp.pdf/$FILE/escfsp.pdf Ecological Site Classification v1.7 Field Survey Pack]
 +
}}
 
== General System description ==  
 
== General System description ==  
  
−
System name: Ecological Site Classification
+
[[Image:ESC brochure.jpg|thumb|ESC cover]]
−
 
+
[[Image:ESC main window.png|thumb|300px|ESC main window]]
−
Acronym: ESC
+
−
 
+
−
=== Brief overview ===
+
−
Part of the [[GB Forestry DSS |GB Forestry Decision Support System]], the system enables the appropriate choice of tree species or NVC woodland type on the basis of site climate and soil quality. Built into the tool are methods to assess soil quality from soil type and indicator plants.
+
−
 
+
−
 
+
−
[[Category:GB Forestry DSS]]
+
−
[[Category:Ecological Classification]]
+
−
[[Category:Species selection]]
+
  
 
__TOC__
 
__TOC__
  
−
=== Scope of the system ===
 
−
* tool encourages decision maker to discover new problems or opportunities by exposing to new information or results
 
−
* tool helps decision makers in recognizing upcoming problems for which solutions have been developed previously
 
−
* tool allows decision maker to actively create new knowledge when faced with a new problem and to develop novel solutions
 
−
* tool allows decision maker to capture knowledge, making it available to decision makers who are seeking solutions from previously solved problems
 
  
 
=== System origin ===
 
=== System origin ===
−
*The system was developed in the 1990s but the origins can be traced to a publication by Anderson in the 1950s and earlier works that identified relationships between site quality and vegetation.  
+
* The system was developed in the 1990s but the origins can be traced to a publication by Anderson in the 1950s and earlier works that identified relationships between site quality and vegetation. <br> It is developed by the Forestry Commission Research Agency, in a team led by Duncan Ray.
−
* Development led by Duncan Ray.  
+
* ESC in its 1.7 version is available for purchasing at the [http://www.forestresearch.gov.uk/website/forestresearch.nsf/ByUnique/INFD-5VGF82 ESC website] for the price of 100£. <br> Currently, version 2.0 is free to use at stand scale via web as part of the [[GB Forestry DSS]] tools.
−
* Currently free to use at stand scale via web.  
+
* Both the U.K. Forestry Standard and the U.K. Woodland Assurance Scheme support the use of ESC as an objective methodology for both the software objectives above described<ref> 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. </ref>.
−
* GIS/Batch versions applied in consultancy work.
+
−
* Some use in public/private sector and in education. Well known.
+
  
 
=== Support for specific issues  ===
 
=== Support for specific issues  ===
−
Is the system designed to take into account specific uses? E.g. guidance on ways to characterize biodiversity, economic-biodiversity tradeoff analysis methods, risk assessment methods, landscape analysis methods, timber harvest effects, climate change effects, biological effects (pests, pathogens, invasives), fire,...  
+
Species suitability and selection, biodiversity, and climate change effects on species suitability.
 +
[[Image:Screenshot-ESC.png|thumb|300px|A screenshot from the ESC free web version]]
  
 
=== Support for specific thematic areas of a problem type  ===
 
=== Support for specific thematic areas of a problem type  ===
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* Development choices / land use zoning  
 
* Development choices / land use zoning  
 
* Policy/intervention alternatives  
 
* Policy/intervention alternatives  
−
* Sustainability impact assessment (SIA)
 
  
 
=== Capability to support decision making phases  ===  
 
=== Capability to support decision making phases  ===  
−
* Intelligence (gives user detailed site analysis - climate and soil parameters)
+
* Intelligence
−
* Design (provides site analysis in context of many themes)
+
:gives user detailed site analysis (climate and soil parameters).
−
* Choice (allows user to vary species choice, management options)
+
* Design
−
* Monitor (highlights risks which in theory could encourage monitoring)
+
:provides site analysis in context of many themes.
 +
* Choice
 +
:allows user to vary species choice, management options.
 +
* Monitor
 +
:highlights risks which in theory could encourage monitoring.
  
 
=== Related systems  ===
 
=== Related systems  ===
 
Describe (and/or link to) other systems related
 
Describe (and/or link to) other systems related
−
*Conifer Timber Quality Model
+
* [[GB Forestry DSS]]
−
*EMIS
+
* [[Conifer Timber Quality Model]]
−
*Forest Gales
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* [[EMIS]]
−
*Harpps
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* [[Forest Gales]]
 +
* [[HMSS]]
 +
* [[HaRPPS]]
  
 
== Data and data models ==
 
== Data and data models ==
 +
[[Image:ESC site location.png|thumb|300px|ESC site location window]]
  
 
=== Typical spatial extent of application  ===
 
=== Typical spatial extent of application  ===
 +
In the U.K. ESD-DSS is used for forest scenario planning, from the strategic national and regional scales to landscape-scale analyses through to suitability assessments on a site-by-site basis.
 +
 
Web based tool operates at stand scale, ca 1-5 hectares, batch GIS tool has generated regional and national scenarios.
 
Web based tool operates at stand scale, ca 1-5 hectares, batch GIS tool has generated regional and national scenarios.
−
 
−
=== Forest data input  ===
 
−
Location via OS GB six figure grid reference, eg NT090950. User also supplies an FC soil type (eg 1g, 4, 7bz), lithology/geology, vegetation (indicator plants), results from soil survey (soil texture, rooting depth, soil class (dry|wet) and humus form. More data increases the accuracy of the analysis.
 
  
 
=== Type of information input from user (via GUI) ===
 
=== Type of information input from user (via GUI) ===
−
User selects one or more tree species for detailed analysis from an intermediate screen.
+
Users only have to input information about site grid reference, elevation, and soil features. Soil quality can be estimated approximately from some quick observations made of the soil and vegetation at the site, or can be predicted more accurately with a complete description of soil type, lithology, humus form and existing plants.
 +
 
  
 
== Models ==
 
== Models ==
 +
[[Image:ESC input window.png|thumb|300px|ESC input window]]
  
 
=== Forest models ===
 
=== Forest models ===
 +
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 membership function describes the degree of suitability of the species or woodland community to each ESC site factor.
  
−
Species suitability models based on AT5, CT, DAMS, MD, SMR, SNR.
+
Species suitability and yield prediction models are based on accumulated temperature (AT5), moisture deficit, continentality (CT), wind exposure (DAMS - Detailed Aspect Method of Scoring system, a function of elevation, topographic exposure, aspect, funneling effects and wind zone classification across Britain), moisture deficit (MD), soil moisture regime (SMR) and soil nutrient regime (SNR). From these six variables, climatic warmth (accumulated temperature) is assumed as the principal factor and from the remaining others only the most limiting factor may modify the site yield prediction <ref> 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. </ref>.
  
−
Models to predict SNR from indicator plants (via Hill Ellenberg/Wilson scores) and SMR from soil (AWC, rooting depth)/site (MD) properties.
+
The link between biophysical factors and tree species suitability is defined by a set of knowledge based rules that represent an accord based on the combined discussion of a panel of forest scientists with knowledge and experience of the site-related growth potential of the 25 tree species presented. ESC site-yield estimates have been judged acceptable by many foresters and scientist at the ESC courses and demonstrations across a range of climatic zones and site types in the U.K. The model of Sitka spruce was also tested in the [http://en.wikipedia.org/wiki/Clashindarroch_Forest Clashindarroch Forest], in Aberdeenshire (Scotland), showing a slightly underestimated site-yield approach<ref> RAY D., J.CLARE et A.MILNER (2001): ''An assessment of the ESC yield model for Sitka spruce'', Unpublished Forest Research Internal Report. Edinburgh: Forestry Commission</ref>.
  
−
=== Social models  ===
 
−
N/a
 
  
 
== Decision Support ==
 
== Decision Support ==
 +
[[Image:ESC_sitkaspruce_map.gif|thumb|300px|An example of the GIS application of ESC, predicting the effect of climate change on the productivity of Sitka Spruce]]
  
 
=== Definition of management interventions ===
 
=== Definition of management interventions ===
 
Species or NVC woodland choice.  
 
Species or NVC woodland choice.  
  
−
Prescription enumerating all selected possibilities at stand level, or thematic GIS layers (eg Oak or Sitka Spruce suitability in a defined area of interest).
+
Prescription enumerating all selected possibilities at stand level, or thematic GIS layers (e.g., Oak or Sitka Spruce suitability in a defined area of interest), even reaching national level.
  
 
=== Typical temporal scale of application ===
 
=== Typical temporal scale of application ===
−
Has some support for future climate scenarios, baseline data is from 1961-1990.
+
Has support for future climate scenarios, being the baseline data from 1961-1990.
  
 
=== Types of decisions supported  ===
 
=== Types of decisions supported  ===
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**Bargaining / participative decision making
 
**Bargaining / participative decision making
  
−
=== Decision-making processes and models ===
 
−
*Logic modeling
 
−
*Operations research modeling
 
−
**Direct approaches
 
−
**Heuristic manipulation of simulation models
 
−
*Multiple criteria/ranking
 
−
*Other
 
  
 
== Output ==
 
== Output ==
 +
[[Image:ESC species suitability.png|thumb|300px|ESC species suitability window]]
 +
[[Image:ESC yield class.png|thumb|300px|ESC yield classes window]]
  
 
=== Types of  outputs ===
 
=== Types of  outputs ===
  
−
Stand version generates tables in HTML, thematic maps can be generated via a batch tool for visualisation in GIS, assuming suitable soil data is available.
+
Stand version generates tables showed on screen. Thematic maps can be generated via a batch tool for visualisation in GIS, assuming suitable soil data is available.
  
 
=== Spatial analysis capabilities  ===
 
=== Spatial analysis capabilities  ===
−
* integrated capabilities
+
It has been implemented within ArcView 3.*™, and allows a lot of spatial analyses like in the image above showed.
−
* GIS links via batch tool. Limitations in this context due to availability of digital soil maps.
+
−
* provides standard data import/export formats
+
−
* allows spatial analysis, batch tool generates thematic layers
+
  
−
=== Abilities to address interdisciplinary, multi-scaled, and political issues  ===
 
−
Evaluate interactions between different basic information types (biophysical, economic, social). Produce coordinated results for decision makers operating at different spatial scales facilitate social negotiation and learning
 
  
 
== System ==
 
== System ==
  
 
=== System requirements  ===
 
=== System requirements  ===
−
* Java library deployed on Linux and Windows. UI available at stand level via web, or batch system via command line.  
+
* Microsoft® Windows® 3.1, 95, 98, or NT4
−
* Utilises many open source Java libraries, GRASS GIS or ArcGIS required for batch stage. Data currently managed in Oracle database or as raster files.
+
* 486 processor or better
−
* Beta trial
+
* 4 Mbytes free hard disk space
 +
* 8 Mbytes RAM (minimum)
 +
* CD-ROM drive
 +
* Web tool only requires a web browser.  
 +
* GRASS GIS or ArcView 3 required for batch stage. Data currently managed in Oracle database or as raster files.
 +
* Development status: ESC-DSS version 1.7 is available for purchasing. Version 2 is available on the Internet and is being updated.
  
 
=== Architecture and major DSS components ===
 
=== Architecture and major DSS components ===
−
3 tier architecture ( UI, Models, Data)
+
ESC 1.7 was written in C++. It has been implemented within ArcView 3.*™ and GRASS.
  
−
Web based UI using JSP, HTML, CSS
+
ESC 2.0 is written in Java and has a web based UI using JSP, HTML, CSS.
  
−
Also desktop batch tool for GIS processing using Java.
+
ESC 4.0 is based on an open source GIS tools stack comprising openlayers, geoserver, postgis and geotools. QGIS and R are used in the data preparation stages. Spatial data are available as web map services (WMS) for use in desktop GIS (e.g. [http://www.qgis.org/ QGIS]) via [http://www.forestdss.org.uk/geoserver/wms http://www.forestdss.org.uk/geoserver/wms].
−
 
+
−
Models are implemented in java. Three key models are species suitability, indicator plants and soil properties calculator.
+
−
 
+
−
Highly modular.
+
−
 
+
−
Some simple web map services with Google Maps (not intended for operational use).
+
−
 
+
−
Basic dataflow is location accesses site climate data, this and other user input data are then processed by the various models to generate outputs.
+
  
 
=== Usage ===
 
=== Usage ===
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=== Documentation and support ===
 
=== Documentation and support ===
−
Bulletin 124 describes the method, and version 1.7 is well documented.
+
[http://www.forestresearch.gov.uk/website/publications.nsf/WebpubsbyISBN/0855384182 Bulletin 124] describes the method, and version 1.7 is well documented<ref>RAY D. (2001): ''A PC-based Decision Support System for British Forests. User’s Guide. Version 1.7''. Forestry Commission. ([http://www.forestresearch.gov.uk/pdf/manual.pdf/$FILE/manual.pdf pdf])</ref>. There is also a Field Survey Pack in order to help users to understand the ESC data requirements.
  
−
Version 2.0 no formal training avaiable to date. Support available via email.
+
Version 2.0 no formal training available to date. Support available via email.
 +
 
 +
Practical training courses on ESC-DSS are organised by Forestry Training Services (a part of the Forestry Commission) at various locations around the UK. Courses cover ESC survey techniques, soil and plant identification, and tree species and native woodland community suitability.
  
 
=== Installation ===
 
=== Installation ===
−
* Prerequisite knowledge: Requires web browser. Server installation requires specialised skills and tools. Batch mode requires some configuration on host machine.
+
* Server installation requires J2EE server such as Tomcat or Oracle Application Server and an oracle database, and requires specialized skills and tools. Batch mode requires some configuration on host machine.
−
 
+
* Web tool requires web browser.
−
Web browser for stand version. GIS batch tool requires Java 1.4, Grass and related ESC datasets. A spatial version also exists based on ArcView/Spatial Analyst.
+
−
 
+
−
Server installation requires J2EE server such as Tomcat or Oracle Application Server and an oracle database.
+
−
 
+
−
==References==
+
−
 
+
−
===Cited references===
+
−
<references/>
+
−
 
+
−
===External resources===
+
−
[http://www.eforestry.gov.uk/forestdss Forest Research Decision Support Portal] (note registration required)
+

Latest revision as of 12:54, 18 November 2015

Wiki quality control

Has flag yellow

Name, responsible organisation and contact person

Has full name Ecological Site Classification
Has acronym ESC
Has wiki contact person Sibhatu Abera
Has wiki contact e-mail sibhat21@yahoo.com

Software identification

Has software ESC.Software

Description

Has description ESC is a PC-based DSS software can be accessed via a web browser, 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, predicting yield in the form of a site index, on the UK forest land and also future climate analysis . 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.
Has modelling scope Forest indicators, Ecological indicators, Social indicators
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 ESC
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, economic evaluation, fertilization, forest ecology, wood supply planning
Supports tree species 20-25
Supports silvicultural regime even-aged, uneven-aged/natural regeneration, uneven-aged/plantation

Concrete application

Has typical use case 01
Has user profile 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, NGO, service providers, local communities, local administration, IT company, other
Has country United Kingdom
Has references about examples of application An Ecological Site Classification for Forestry in Great Britain”, Graham Pyatt, Duncan Ray and Jane Fletcher, Forestry Commission Bulletin 124, 2001
Has number of users >100
Has number of real-life applications >100
Has utilisation in education used by students
Has research project 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. Springe

Has tool dissemination allow the forest manager to use advanced decision support tools, such as expert and knowledge based systems, multi-criteria techniques as well as communication and visualization tools. European experience with developing and applying forest DSSs for forest management provides a solid foundation for

Decision support techniques used in the DSS

Has decision support techniques ESC.Decision support techniques

Support of Knowledge Management

Has knowledge management processes ESC.Knowledge management process

Support of social participation

Has support for social participation ESC.Support of social participation

DSS development

Has DSS development ESC.Description of DSS development

Documentation

Has website http://www.forestry.gov.uk/fr/esc
Has online demo https://www.eforestry.gov.uk/forestdss?app=esc
Has manual Yes
Has technical documentation Yes
Has reference [[Has reference::* ESC project website

General System description

ESC cover
ESC main window


System origin

  • The system was developed in the 1990s but the origins can be traced to a publication by Anderson in the 1950s and earlier works that identified relationships between site quality and vegetation.
    It is developed by the Forestry Commission Research Agency, in a team led by Duncan Ray.
  • ESC in its 1.7 version is available for purchasing at the ESC website for the price of 100£.
    Currently, version 2.0 is free to use at stand scale via web as part of the GB Forestry DSS tools.
  • Both the U.K. Forestry Standard and the U.K. Woodland Assurance Scheme support the use of ESC as an objective methodology for both the software objectives above described[1].

Support for specific issues

Species suitability and selection, biodiversity, and climate change effects on species suitability.

A screenshot from the ESC free web version

Support for specific thematic areas of a problem type

  • Silvicultural
  • Certification
  • Conservation
  • Restoration
  • Development choices / land use zoning
  • Policy/intervention alternatives

Capability to support decision making phases

  • Intelligence
gives user detailed site analysis (climate and soil parameters).
  • Design
provides site analysis in context of many themes.
  • Choice
allows user to vary species choice, management options.
  • Monitor
highlights risks which in theory could encourage monitoring.

Related systems

Describe (and/or link to) other systems related

Data and data models

ESC site location window

Typical spatial extent of application

In the U.K. ESD-DSS is used for forest scenario planning, from the strategic national and regional scales to landscape-scale analyses through to suitability assessments on a site-by-site basis.

Web based tool operates at stand scale, ca 1-5 hectares, batch GIS tool has generated regional and national scenarios.

Type of information input from user (via GUI)

Users only have to input information about site grid reference, elevation, and soil features. Soil quality can be estimated approximately from some quick observations made of the soil and vegetation at the site, or can be predicted more accurately with a complete description of soil type, lithology, humus form and existing plants.


Models

ESC input window

Forest models

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 membership function describes the degree of suitability of the species or woodland community to each ESC site factor.

Species suitability and yield prediction models are based on accumulated temperature (AT5), moisture deficit, continentality (CT), wind exposure (DAMS - Detailed Aspect Method of Scoring system, a function of elevation, topographic exposure, aspect, funneling effects and wind zone classification across Britain), moisture deficit (MD), soil moisture regime (SMR) and soil nutrient regime (SNR). From these six variables, climatic warmth (accumulated temperature) is assumed as the principal factor and from the remaining others only the most limiting factor may modify the site yield prediction [2].

The link between biophysical factors and tree species suitability is defined by a set of knowledge based rules that represent an accord based on the combined discussion of a panel of forest scientists with knowledge and experience of the site-related growth potential of the 25 tree species presented. ESC site-yield estimates have been judged acceptable by many foresters and scientist at the ESC courses and demonstrations across a range of climatic zones and site types in the U.K. The model of Sitka spruce was also tested in the Clashindarroch Forest, in Aberdeenshire (Scotland), showing a slightly underestimated site-yield approach[3].


Decision Support

An example of the GIS application of ESC, predicting the effect of climate change on the productivity of Sitka Spruce

Definition of management interventions

Species or NVC woodland choice.

Prescription enumerating all selected possibilities at stand level, or thematic GIS layers (e.g., Oak or Sitka Spruce suitability in a defined area of interest), even reaching national level.

Typical temporal scale of application

Has support for future climate scenarios, being the baseline data from 1961-1990.

Types of decisions supported

  • Management level
    • strategic decisions
    • administrative decisions
    • operating control decisions
  • Management function
  • planning decisions
    • organizing decisions
    • command decisions
    • control decisions
    • coordination decisions
  • decision making situation
    • unilateral
    • collegial
    • Bargaining / participative decision making


Output

ESC species suitability window
ESC yield classes window

Types of outputs

Stand version generates tables showed on screen. Thematic maps can be generated via a batch tool for visualisation in GIS, assuming suitable soil data is available.

Spatial analysis capabilities

It has been implemented within ArcView 3.*™, and allows a lot of spatial analyses like in the image above showed.


System

System requirements

  • Microsoft® Windows® 3.1, 95, 98, or NT4
  • 486 processor or better
  • 4 Mbytes free hard disk space
  • 8 Mbytes RAM (minimum)
  • CD-ROM drive
  • Web tool only requires a web browser.
  • GRASS GIS or ArcView 3 required for batch stage. Data currently managed in Oracle database or as raster files.
  • Development status: ESC-DSS version 1.7 is available for purchasing. Version 2 is available on the Internet and is being updated.

Architecture and major DSS components

ESC 1.7 was written in C++. It has been implemented within ArcView 3.*™ and GRASS.

ESC 2.0 is written in Java and has a web based UI using JSP, HTML, CSS.

ESC 4.0 is based on an open source GIS tools stack comprising openlayers, geoserver, postgis and geotools. QGIS and R are used in the data preparation stages. Spatial data are available as web map services (WMS) for use in desktop GIS (e.g. QGIS) via http://www.forestdss.org.uk/geoserver/wms.

Usage

Used in education, public and private sector forestry and research.

Computational limitations

Longer runtime to compute national datasets.

User interface

Web UI requires some understanding of soil types, OS grid references, reference to geological maps. Interpretation of information can be challenging so support is being developed.

Documentation and support

Bulletin 124 describes the method, and version 1.7 is well documented[4]. There is also a Field Survey Pack in order to help users to understand the ESC data requirements.

Version 2.0 no formal training available to date. Support available via email.

Practical training courses on ESC-DSS are organised by Forestry Training Services (a part of the Forestry Commission) at various locations around the UK. Courses cover ESC survey techniques, soil and plant identification, and tree species and native woodland community suitability.

Installation

  • Server installation requires J2EE server such as Tomcat or Oracle Application Server and an oracle database, and requires specialized skills and tools. Batch mode requires some configuration on host machine.
  • Web tool requires web browser.


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