3. Global seed bank –
10% banked so far
IUCN Sampled Red List Index – CBD 2010
The Kew ‘naming machine’
Hundreds of new species described every
year - thousands named
4.
5. The Red list –
Small Very small
Restricted
Population population and Quantitative
geographic
reduction size and restricted analysis
range
decline population
Quantitative thresholds
6. The Red List is biased towards better known groups...
Sumatran Orangutan (Pongo abelii) Black rhinoceros (Diceros bicornis)
Polar bear (Ursus maritimus) Leatherback turtle (Dermochelys coriacea)
10. Why we developed GeoCAT:
- Geospatial aspects of assessments were challenging
- GIS - steep learning curve
- Dependence on proprietary software
- Difficulty with data gathering and processing
- Lack of transparency
- Isolated working practices – no collaboration
- Difficult to replicate analysis
- Few tools available - slow progress with Red Listing
11. The Red List community needs:
- rapid analysis
- repeatable analysis – audit trail
- data driven - from multiple sources
- collaborative research and analysis
- powerful, but easy to use tools
- Open! and free to use
12. check it out... www.geocat.kew.org
Screencast demo:
http://www.youtube.com/watch?v=eyVHLQy8F_0
13. Future development...
- Assessments in the cloud
- More data sources e.g. iNaturalist, Scratchpads,
BRAHMS
- Integration with IUCN Red List systems
- Batch processing
- Species distribution models
- More spatial queries
- Better integration with GBIF e.g. error feedback
14. Already being used worldwide
Recently used in South Korea with the IUCN Korean Plant Specialist Group
... and IUCN IndoChina plants assessment with Missouri Botanic Garden
Add workshop case sSouth Korea with our Korean Plant Specialist Group and at an assessment workshop on IndoChina plants lead by Missouri Botanical Gardentudies – msc students