Monitoring and Forecasting Services for Observatory for Protected Areas (DOPA)

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1 Monitoring and Forecasting Services for Biodiversity, the case of the Digital Observatory for Protected Areas (DOPA) G. Dubois, M. Schulz, J. Skøien, E. O Tuama, I. May, M. Balman, I. Fisher, C. Mills [email protected] Land Resource Management Unit, Institute for Environment & Sustainability Joint Research Centre

O Tuama, I. May, M. Balman, I. Fisher, C. Mills michael.schulz@jrc.ec.europa.

2 Outline Overview, retrospective, outlook Architectural concepts Components ehabitat especies

3 EuroGEOSS WP4 Biodiversity

4 DOPA overview Digital Observatory for Protected Areas BIOPAMA DOPA is a set of distributed Web Services to Assess, Monitor, and Forecast Biodiversity i at the Global Scale

5 DOPA overview

6 DOPA retrospective The African Protected Areas Assessment Tool (APAAT) The purpose of the APAAT is to provide to decision makers an assessment of the state of African PAs andto prioritize them according to biodiversity values and threats so as to support decision making and fund allocation processes

state of African PAs andto prioritize them according to biodiversity

7 DOPA retrospective The African Protected Areas Assessment Tool (APAAT) one time assessment static not easily reproducible restricted to Africa Reference: Hartley, A., Nelson, A., Mayaux, P. and Grégoire, J M. (2007). The Assessment of African Protected Areas. JRC Scientific and Technical Reports. Office for Official Publications of the European Communities, Luxembourg, EUR EN. 77p.

and Grégoire, J M. (2007). The Assessment of African Protected Areas.

8 DOPA outlook Global coverage (near) real time modeling and analytics (near) 1 km resolution Protected Areas Habitats Ecological Monitoring i & Forecasting OGC WxS REST Species

9 Architectural concepts DOPA is a set of web services, of different flavours, that are ableto interoperate each discipline operates their specialized services (ehabitat, especies,...), accompanyingweb sites, sampleapplications applications and wikis transport and support documentation and should trigger and channel scientific discussion for each discipline use data provider services (IUCN, GBIF, Birdlife,...), where possible and acknowledge/propagate p g the use of their data in downstream services enable feedback of ground collected data (e.g. species absence in a protected area) use ofopen open standards, specifications andfree andopen source software to guarantee sustainability and secure project border crossing efforts

data provider services (IUCN, GBIF, Birdlife,...), where possible and acknowledge/propagate p g the use of their data in downstream services enable feedback of ground collected data (e.

10 Component ehabitat Habitat modeling

11 Component ehabitat Similarity/probability modelling capacity accessible thru a web processing service. Main inputs: 1. One: reference or sample geometry (e.g. protected area (PA)), supplied asidof the World Database of Protected Areas (WDPA), Well known text (WKT), geometry URL (WFS GetFeature, KML, GeoJSON,...) 2. Multiple: indicator layers (e.g. Temperature, precipitation,...), supplied as Web Coverage Service URLs or GetRecordByID URLs (e.g. from EuroGEOSS Broker)

12 Component ehabitat: 1# use case Forecast climatic similarity of protected areas - Climatic data current and forecast GCM downscaled at - Different resolutions 1km to ~20 km - Climatic variables from Holdridge s lifezones

13 Component ehabitat: 1# use case Protected Area biot, annual precip., PET/Rainfall Nowcast

14 Component ehabitat: 1# use case Protected Area biot, annual precip., PET/Rainfall Forecast

15 Component ehabitat: 2# use case WEB20 Broker GBIF Density WMS + Filter IUCN Species RedList JSON Birdlife Range WMS + Filter GBIF Taxon REST Service

16 Component ehabitat: 2# use case

17 Component ehabitat: 3# use case Discoverable and runable thru EuroGEOSS Broker Sensible question? Reasonible indicators?

18 Component ehabitat: 3# use case Discoverable and runable thru EuroGEOSS Broker Sensible question? Reasonible indicators?

19 Component especies Species distribution

20 Component especies process species data to compute a number of indicators on species compositions, species richness andirreplaceability providing end users with means to give feedback on the presence/absence of species, e.g. in protected areas query species services withvarying premises, like occurrence at a certain point occurrence ina certain PA occurrence in any polygon filter by taxonomy provided as OGC WxS and REST services

21 Component especies: #1 use case

22 Component especies: #2 use case

23 Component especies: #2 use case

24 Component especies: #2 use case

25 Component especies: #2 use case Habitat Replaceability Index (HRI) APAAT currently pre-calculated, with the same algorithm as ehabitat uses, with these indicator layers: Elevation, Slope Cover percentage Tree, Herbaceous, Bare Max. NDVI, NDWI Holdridge variables (BioTemp, Prec, EP ratio)

26 ec europa eu/ Thank you for your attention.

RESPONSE FROM GBIF TO QUESTIONS FOR FURTHER CONSIDERATION

RESPONSE FROM GBIF TO QUESTIONS FOR FURTHER CONSIDERATION A. Policy support tools and methodologies developed or used under the Convention and their adequacy, impact and obstacles to their uptake, as well