TWG BR-HB-SD

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TWG BR-HB-SD. INSPIRE Thematic Working Group on Biogeographical Region, Habitats and Biotopes, Species Distribution Presenter: Anders Friis-Christensen, Editor, TWG BR-HB-SD INSPIRE Conference 2011, Edinburgh, Scotland 29th june 2011. 1. Main aim : - PowerPoint PPT Presentation

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Template ppt INSPIREBiogeographical Region, Habitats and Biotopes, Species Distribution
Presenter: Anders Friis-Christensen, Editor, TWG BR-HB-SD
INSPIRE Conference 2011, Edinburgh, Scotland
29th june 2011
…prepare data specifications ensuring exchange of spatial data from the biodiversity domain…
TWG BR-HB-SD
All 3 themes + PS DS = Biodiversity Scope
The largest TWG: (16 members)
18 meetings so far: 3 physical, 15 teleconferences+ additional subgroup teleconferences
Profile of the group:
Close connection with EEA/Europen Topic Centre (Natura 2000,
SDF update)
International and national domain networks coverage
Expertise for all three themes
Connection to INSPIRE Annex I Protected Sites TWG
TWG BR-HB-SD
GDI-DE LMO
Editor
Tuchya
Martin
JRC
European Commission, DG JRC
Bruns
Peteris
LV
Institute of Mathematics and Computer Science, University of Latvia (IMCS UL)
Institute of Mathematics and Computer Science, University of Latvia (IMCS UL)
Expert
Carlisle
Margaret
UK
ENVEurope
Expert
-GDI-DE -NetPhyD: German Phytodiversity Network
Expert
Peterseil
Johannes
AT
Alterra
Expert
Claus
Simon
BE
ND: Digital Norway
Bundesamt für Naturschutz (BfN)
Core content:
Marine regions (5 regions)
Support for other “Ecoregions”
Bern Convention / Emerald network
Environmental Stratification of Europe
Natural Vegetation Classification Value
Because of limited number of Bio-geographical region datasets
No complex requirements
In order to strive for maximum harmonisation of datasets
BR application schema not only supports the classification of bio-geographical regions as mandated by the European Habitats Directive, but also meets the requirements raised by INSPIRE stakeholders with regard to alternative and more precise sets of different types of ecological regions
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Open issue: RegionClassificationSchemeValue necessary?
2. Add another value to RegionClassificationSchemeValue
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Ecoregions with respect to the Water Framework
Is regionClassificationLevel required in the application schema or could it be represented in MD?
Generic issues:
Relationship to other themes (for example with Annex I Protected Sites)
Codelists: They need to be hierarchical, shall they be external or specific to INSPIRE?
Data quality + Dataset level metadata
Portrayal
“Geographical areas characterised by specific ecological conditions, processes, structure, and (life support) functions that physically support the organisms that live there. Includes terrestrial and aquatic areas distinguished by geographical, abiotic and biotic features, whether entirely natural or seminatural.” [Directive2007/2/EC]
Content
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Habitats and Biotopes are spatially delimited by specific ecological conditions, processes, structure and life support functions that physically support the organisms that live there.
Spatial representation :
Distribution as Coverages (Discrete) - tessellation of space (grid)
Classifications:
Mandatory:
EUNIS habitat classification
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Main achievements
Harmonisation was achieved by using one classification system, which serves as “primus inter pares” to which all other classification systems can be mapped.
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Habitats and Biotopes (HB)
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Coverages
Presence of habitats are summarised based on a tessellation of space, e.g., by grids.
Open issue: Implementation of coverages
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Theme specific issues:
Introducing a feature collection (spatial data) set for predefined data sets for the habitat mapping representation
Need for more habitatTypes for the coverage.
Is there a need for more grid types (e.g. irregular ones)?
Data quality + Dataset level metadata
Portrayal
Discussion on Data quality + Dataset level metadata
Codelists: Are all extendible by MS, do they need to be hierarchical, shall they be external or specific to INSPIRE?
Relationships with other themes
Geographical distribution of occurrence of animal and plant species aggregated by grid, region, administrative unit or other analytical unit [Directive 2007/2/EC].
Core content
Coverage description
Data sensitivity
Short overview description
Aggregations of raw species observations to create general distributions. A possibility to refer to observations made possible by linking to Environmental Monitoring Facilities.
DS terminology: Species = taxon
Current situation: feature collections
Appropriate conceptual approach: Coverages
Aggregation or Distribution is modelled as (Discrete) coverages (but can be encoded as feature collections)
Classifications (reference ones):
Certain generic constructs allowing for different source methods and counting methods
Species names and classifications (support of one or many “local” names and their mappings to a reference one)
Support of wide range of spatial distribution types (points, grid cells, multi-surface, curves)
Species distribution (SD)
Species distribution (SD)
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Open issue: Implementation of coverages
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The relationships to other themes
Link to observations (currently via Environmental Facilities)
Data quality + Dataset level metadata
Portrayal
Encoding of coverages. Multiple encodings (additional implementation model).
Codelists: Are all extendible by MS, do they need to be hierarchical, shall they be external or specific to INSPIRE?
Species distribution (SD)
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Biogeographical Region, Habitats and Biotopes, Species Distribution
Presenter: Anders Friis-Christensen, Editor, TWG BR-HB-SD
INSPIRE Conference 2011, Edinburgh, Scotland
30 june 2011
upper levet contained here are Environmental
Zone (EnZ) which is subdivided in
Environmental Strata (EnS) and contains 84
classes (not shown)
multi curve or multi point*/
inv: domainSet.oclIsKindOf(GM_MultiSurface)
or domainSet.oclIsKindOf(CV_RectifiedGrid)
inv: rangeSet.oclIsKindOf(HabitatDistribution)
GM_MultiSurface or GM_Point or GM_MultiPoint or
GM_Curve or GM_MultiCurve*/
inv: geometry.oclIsKindOf(GM_Surface) or
distribution*/
/* domain is a multi surface, rectified grid or multi point*/
inv: domainSet.oclIsKindOf(GM_MultiSurface) or
GM_MultiSurface or GM_Point or GM_MultiPoint */
inv: geometry.oclIsKindOf(GM_Surface) or