DATASET

Maximum habitat suitability map of Betula spp. (2006, FISE, RDS-MHSv0-3-2)

Collection: JRC-FOREST : JRC Forest Research Activities 

Description

This dataset series shows the Maximum Habitat Suitability (MHS, also known as survivability) map of Betula spp. (whole genus Betula, i.e. all observed species in that genus) (raster format: geotiff). The survivability map is provided for Europe (EU28 plus part of other countries within the spatial extent), computed using the FISE harmonised European dataset of taxa presence/absence (based on the integration and harmonisation of the datasets by European National Forestry Inventories; BioSoil; Forest Focus/Monitoring; EUFGIS; GeneticDiversity). The survivability is estimated as the maximum extension of habitat suitability by means of statistical multivariate similarity analysis (Relative Distance Similarity, RDS) of the bio-climatic conditions where the taxon is observed in Europe (RDS Maximum Habitat Suitability, RDS-MHS). Available years: 2006. The maps are available in the Forest Information System for Europe (FISE). FISE is run by the European Commission, Joint Research Centre. See the field Lineage for further information.

When using these data, please cite the relevant data sources. A suggested citation is included in the following:      

- Various authors, 2016. Betula pendula, Betula pubescens and other birches in Europe: an outline on distribution, habitat, importance and threats. In: Online European Atlas of Forest Tree Species. FISE Comm. Publications Office of the European Union. pp. e010226+. (Under review: please, check the current status at: https://w3id.org/mtv/FISE-Comm/v01/e010226)      

- de Rigo, D., Caudullo, G., Houston Durrant, T., San-Miguel-Ayanz, J., 2016. The European Atlas of Forest Tree Species: modelling, data and information on forest tree species. In: San-Miguel-Ayanz, J., de Rigo, D., Caudullo, G., Houston Durrant, T., Mauri, A. (Eds.), European Atlas of Forest Tree Species. Publ. Off. EU, Luxembourg, pp. e01aa69+. https://w3id.org/mtv/FISE-Comm/v01/e01aa69      

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Contact

Email
jrc-fise-info (at) ec.europa.eu

Contributors

How to cite

de Rigo, Daniele; Caudullo, Giovanni; Barredo Cano, José Ignacio; San Miguel-Ayanz, Jesús (2016): Maximum habitat suitability map of Betula spp. (2006, FISE, RDS-MHSv0-3-2). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/bdf43d0b-d073-4253-8ce6-404eb8ba5b1a

Keywords

FISE Model: Relative Distance Similarity (RDS-MHS) Modelled quantity: Maximum Habitat Suitability (MHS) Modelling paradigm: Geospatial Semantic Array Programming (GeoSemAP) Taxonomy division type: Broadleaved Taxonomy family: Betulaceae Taxonomy genus: Betula Taxonomy species: Betula spp.

Data access

[VIEW] [WMS] INSPIRE View Service
URL 
  • INSPIRE compliant view service for maps of Betula sp survivability (maximum extension of habitat suitability) for the current situation (year 2006; forest tree species data: FISE)

[Download] Data Download Service
URL 
  • Data download service for maps of Betula sp survivability (maximum extension of habitat suitability) for the current situation (year 2006; forest tree species data: FISE)

Spatial coverage

Type Value
GML
<gml:Envelope srsName="http://www.opengis.net/def/crs/OGC/1.3/CRS84"><gml:lowerCorner>-36.684 28.922</gml:lowerCorner><gml:upperCorner>74.359 67.658</gml:upperCorner></gml:Envelope>
GEO
POLYGON((-36.684 67.658,74.359 67.658,74.359 28.922,-36.684 28.922,-36.684 67.658))
GEO
{"type":"Polygon","crs":{"type":"name","properties":{"name":"urn:ogc:def:crs:OGC:1.3:CRS84"}},"coordinates":[[[-36.684,67.658],[74.359,67.658],[74.359,28.922],[-36.684,28.922],[-36.684,67.658]]]}

Temporal coverage

From date To date
2006-01-01 2006-12-31

Lineage information

The data refer to the European Atlas of forest Tree Species [1]. The survivability model (or maximum habitat suitability model) relies on statistical multivariate similarity analysis (Relative Distance Similarity, RDS) of the bio-climatic conditions where the taxon is observed in Europe (RDS Maximum Habitat Suitability, RDS-MHS) [2-5] as implemented by using the Mastrave modelling library [6,7] within the GNU Octave computational environment [8] and the GDAL library [9] within the Python computational environment [10]. Forest tree species presence/absence information has been used from the harmonised datasets in the Forest Information System for Europe (FISE). Dataset version: 0-3-2.           References:            [1] Various authors, 2016. Betula pendula, Betula pubescens and other birches in Europe: an outline on distribution, habitat, importance and threats. In: Online European Atlas of Forest Tree Species. FISE Comm. Publications Office of the European Union. pp. e010226+. (Under review: please, check the current status at: https://w3id.org/mtv/FISE-Comm/v01/e010226)       [2] de Rigo, D., Caudullo, G., Barredo, J.I., San-Miguel_Ayanz, J., exp. 2016. Modelling impacts of anthropogenic climate change on habitat suitability of European forest tree species: the case of Abies alba (in preparation)       [3] de Rigo, D., Caudullo, G., Busetto, L., San-Miguel-Ayanz, J., 2014. Supporting EFSA assessment of the EU environmental suitability for exotic forestry pests: Final report. EFSA Supporting Publications 2014 (EN-434), 61pp. ([http://mfkp.org/INRMM/article/13114000 INRMM-MiD:13114000])       [4] de Rigo, D., Caudullo, G., Houston Durrant, T., San-Miguel-Ayanz, J., 2016. The European Atlas of Forest Tree Species: modelling, data and information on forest tree species. In: San-Miguel-Ayanz, J., de Rigo, D., Caudullo, G., Houston Durrant, T., Mauri, A. (Eds.), European Atlas of Forest Tree Species. Publ. Off. EU, Luxembourg, pp. e01aa69+.       [5] de Rigo, D., Barredo, J. I., Busetto, L., Caudullo, G., San-Miguel-Ayanz, J., 2013. Continental-scale living forest biomass and carbon stock: a robust fuzzy ensemble of IPCC Tier 1 maps for Europe. IFIP Advances in Information and Communication Technology 413, 271-284. ([http://mfkp.org/INRMM/article/12541209 INRMM-MiD:12541209])       [6] de Rigo, D., 2012. Semantic Array Programming with Mastrave - Introduction to Semantic Computational Modelling. The Mastrave project. http://mastrave.org/doc/MTV-1.012-1       [7] de Rigo, D., 2012. Semantic array programming for environmental modelling: Application of the Mastrave library. In: Seppelt, R., Voinov, A. A., Lange, S., Bankamp, D. (Eds.), International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software. Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting. pp. 1167-1176. ([http://mfkp.org/INRMM/article/12227965 INRMM-MiD:12227965])       [8] Eaton, J. W., Bateman, D., Hauberg, S., 2008. GNU Octave: a high-level interactive language for numerical computations. Network Theory. ([http://mfkp.org/INRMM/article/9115371 INRMM-MiD:9115371])       [9] Warmerdam, F., 2008. The geospatial data abstraction library. In: Hall, G. B., Leahy, M. G. (Eds.), Open Source Approaches in Spatial Data Handling. Vol. 2 of Advances in Geographic Information Science. Springer Berlin Heidelberg, pp. 87-104. ([http://mfkp.org/INRMM/article/11894781 INRMM-MiD:11894781])       [10] Drake, F. L., van Rossum, G., 2011. The Python Language Reference Manual: for Python version 3,2. Network theory Ltd. ([http://mfkp.org/INRMM/article/11232719 INRMM-MiD:11232719])

Additional information

Published by
European Commission, Joint Research Centre
Created date
2021-04-23
Modified date
2021-01-21
Issued date
2016-08-01
Landing page
https://w3id.org/mtv/FISE-Comm/v01/e010226/map-MHS 
Language(s)
English
Data theme(s)
Environment
Update frequency
unknown
Identifier
http://data.europa.eu/89h/bdf43d0b-d073-4253-8ce6-404eb8ba5b1a
Popularity