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Distribution maps of forest tree species

Jesus San-Miguel-Ayanz, et al.



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Project description. The European Commission, Joint Research Centre, hosts the European Forest Data Centre (EFDAC at http://efdac.jrc.ec.europa.eu ) of the Forest Information System for Europe (FISE). The EFDAC‐FISE platform is envisioned to transparently integrate information referring to forest resources in Europe, including taxa‐specific information. The exercise involves the integration of:
1 ▹ a harmonized collection of reference maps describing the European‐wide distribution of forest tree species along with their habitat suitability (both current and under varying climate change scenarios);
2 ▹ a detailed analysis of the implications that the uncertainties – induced by the many available datasets and the required computational modelling strategies – impose for the correct interpretation and use of each reference map, also for science‐based regional and continental‐scale environmental policies;
3 ▹ an updated review of taxa‐specific research highlights and major topics in the corresponding science‐policy interface at regional, continental and global scale.
The Atlas of European Forest Tree Species is a project within EFDAC‐FISE that will cover these taxa‐specific aspects. It is proposed to be a semantically enhanced, systematic online collection of taxa‐specific articles analyzing the state‐of‐the‐art information of forest tree species in Europe. The overall approach is set in the context of a continuous integration of multiple sources of available information, from field observations (e.g. national forest inventories and other field data), bio‐geo‐climatic analysis and remote sensing. The final maps of taxa distribution and habitat suitability (derived by the iterative integration of all the available sources of information) will be made freely available to the public (see http://ec.europa.eu/geninfo/legal_notices_en.htm ). All the sources of information will be managed according to their specific distribution policies and acknowledged.
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In ICP Forests Projectlist (2015), 64 
Key: INRMM:14581137

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Available versions (may include free-access full text)

https://web.archive.org/web/2018050516310…, https://web.archive.org/web/2018050516330…, http://www.icp-forests.org/pdf/icp_projec…

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References

  1. 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.   https://doi.org/10.1007/978-3-642-41151-9_26 ,   INRMM-MiD: 12541209 .
  2. de Rigo, D., Caudullo, G., Busetto, L., San-Miguel-Ayanz, J., Mar. 2014. Supporting EFSA assessment of the EU environmental suitability for exotic forestry pests: final report. EFSA Supporting Publications 11 (3), 434E+.   https://doi.org/10.2903/sp.efsa.2014.EN-434 ,   INRMM-MiD: 13114000 .
  3. de Rigo, D., Corti, P., Caudullo, G., McInerney, D., Di Leo, M., San-Miguel-Ayanz, J., 2013. Toward open science at the European scale: Geospatial Semantic Array Programming for integrated environmental modelling. Geophysical Research Abstracts 15, 13245+.   https://doi.org/10.6084/m9.figshare.155703 ,   INRMM-MiD: 11977126 .
  4. 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. https://scholarsarchive.byu.edu/iemssconference/2012/Stream-B/69/ ,   INRMM-MiD: 12227965 .
  5. 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/ ,   INRMM-MiD: 11744308 .
  6. Bosco, C., de Rigo, D., Dijkstra, T. A., Sander, G., Wasowski, J., 2013. Multi-scale robust modelling of landslide susceptibility: regional rapid assessment and catchment robust fuzzy ensemble. IFIP Advances in Information and Communication Technology 413, 321-335.   https://doi.org/10.1007/978-3-642-41151-9_31 ,   INRMM-MiD: 12541197 .
  7. Bosco, C., de Rigo, D., Dewitte, O., Montanarella, L., Feb. 2011. Towards the reproducibility in soil erosion modelling: a new pan-European soil erosion map. In: Keesstra, S. D., Mol, G. (Eds.), Wageningen conference on applied soil science : 'Soil Science in a Changing World'. Wageningen University.   https://doi.org/10.6084/m9.figshare.936872 ,   INRMM-MiD: 13106377 .


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