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1 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Integrating Biodiversity Datasets - the case of GBIF Éamonn Ó Tuama.

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Presentation on theme: "1 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Integrating Biodiversity Datasets - the case of GBIF Éamonn Ó Tuama."— Presentation transcript:

1 1 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Integrating Biodiversity Datasets - the case of GBIF Éamonn Ó Tuama GBIF Secretariat, Universitetsparken 15 DK-2100 Copenhagen Ø Denmark gbif.data.org

2 2 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Outline Role of GBIF in biodiversity informatics GBIF web services & geospatial web The GBIF architecture Using GBIF mediated data - Assessment of Climate Change Impact Indicators of Compliance with 2010 Target

3 3 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen GBIF Secretariat, Universitetsparken 15, DK-2100 Copenhagen Ø GBIF has five main programmes of work Outreach and capacity building (OCB) 4 Themes Informatics Content Participation Campaigns Digitisation of natural history collections (DIGIT) Building regional and local infrastructure (NODES) Electronic catalogue of names of known organisms (ECAT) Data access and database interoperability (DADI)

4 4 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen

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6 6 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Core data types on GBIF network Taxon names Taxon occurrence information specimen records from natural history collections observational records Fields used in indexing records Mandatory Scientific name Institutional code Collection code Catalogue number Highly desirable Geospatial location Collection date Higher taxon info Date last modified

7 7 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen

8 8 datasets metadata name providers datasets metadata data providers registry institutions providers services index metadata data cache logging data portal query engine request handling web services Components of GBIF Architecture

9 9 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen

10 10 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen

11 11 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen

12 12 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen

13 13 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Web Services Software applications that run over the internet and use some kind of standardised message passing system to handle request and response, usually based on XML.

14 14 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen GBIF Data Portal Web Services occurrence record data occurrence density data dataset metadata data provider metadata data network metadata taxon data

15 15 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen GBIF Occurrence Web Service ? Main actions: Get, List, Count Parameter list: key-value pairs scientificname=Ensis+ensis&format=darwin-1.2

16 16 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen

17 17 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen GBIF Occurrence Web Service scientificname taxonconceptkey dataproviderkey datasourcekey resourcenetworkkey basisofrecord minlatitude maxlatitude minlongitude maxlongitude cellid georeferencedonly hostisocountrycode originisocountrycode startdate enddate modifiedsince startindex maxresults format icon mode stylesheet Parameter list: keys

18 18 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen (TDWG GML 1 application schema) Open Geospatial Consortium (OGC) Web Services Web Map Service Web Feature Service Web Coverage Service 1 Geography Markup Language

19 19 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen integrating national and thematic portals Coastlines, Marine areas, Remote sensing imagery Occurrences, Names Meteorological, Oceanographic data Web Map Service Web Feature Service Web Coverage Service The Geospatial Web

20 20 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Ecological Niche Modelling a modelling technique for defining the ecological requirements of a species – its ecological niche many different algorithms in use (e.g. Maxent, GARP) an algorithm uses a set of environmental variables (e.g. topographic, climatic) to define the ecological niche once the ecological niche is defined it can then be used to query a set of environmental conditions (e.g. as predicted by a climate change model) to determine the potential distribution of the species outputs as maps, statistics Source:http://www.gbif.org/GBIF/zdepot/ReportonTarget2010Oct27.pdf

21 21 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen GBIF mediated data can, in principle, be used, in pursuit of CBD 2010 objectives - to provide indices of trends in the abundance and distribution of selected species to develop indices of any kind of selected species to develop indices at national, regional or global levels Source:http://www.gbif.org/GBIF/zdepot/ReportonTarget2010Oct27.pdf

22 22 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen GBIF mediated data can be used to develop temporally- organised indicators to measure the effects of land-use change on the distribution of species Change in distributional area of species over time Source:http://www.gbif.org/GBIF/zdepot/ReportonTarget2010Oct27.pdf

23 23 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Using GBIF mediated data can be used to measure the impact of climate change on species distributions Predicting the impact of climate change on biodiversity – a GEOSS scenario. Nativi et al. In The Full Picture, A publication for the GEO Ministerial Summit, Earth Observation for Sustainable Growth and Development Cape Town, 30 November 2007 Source: Working within the GEOSS / GMES framework Climate Change

24 24 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen a) distribution derived from historical observations of climate, land use, and species location from Predicting the impact of climate change on biodiversity – a GEOSS scenario. Nativi et al. In The Full Picture, A publication for the GEO Ministerial Summit, Earth Observation for Sustainable Growth and Development Cape Town, 30 November 2007 Source: Climate Change Distribution of Vanessa atalanta b a b) distribution derived from models run on the same data from The species has expanded its range over time Species can be highly responsive to climate change Vanessa atalanta; Photo by Jeremy T.Kerr – August 1, Ottawa, Ontario

25 25 Integrating Biodiversity Data – the Case of GBIF EIONET, Oct 30, 2007, Copenhagen Acknowledgements The modelling scenarios in this presentation are based on publications by Peterson & Soberón 1 and Nativi et al. 2 Thank you data.gbif.org Predicting the impact of climate change on biodiversity – a GEOSS scenario. Nativi et al. In The Full Picture, A publication for the GEO Ministerial Summit, Earth Observation for Sustainable Growth and Development Cape Town, 30 November 2007 Development of indicators of compliance with the 2010 target of the convention on biological diversity using primary biodiversity data provided by GBIF. A.T.Peterson & J. Soberón. 1 2


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