Kew expedition 09 - Get live updates via twitter from the GIS team in Madagascar
Kew's GIS (Geographical Information Systems) team are in Madagascar to record and map plant life on the island and they're sending live updates from the field via twitter. Madagascar is home to an estimated 10,000–12,000 plant species, over 90% of which are found nowhere else on earth!
16 Nov 2009
Kew's GIS team working with partners in the field
Over the last 50 years human activities have had a dramatic impact on the flora of Madagascar. Today, Kew's GIS team set off on their expedition to the island. Their mission is to record information about the plant life they find and support future plant conservation work to protect plant life and habitats at risk.
The team are sending live updates from the field via their mobile phones to twitter, providing unique access to life in the field and highlighting the importance of Kew's plant conservation work on the ground.
Madagascar is home to an estimated 10,000–12,000 plant species, over 90% of which are found nowhere else on earth! It is one of the top ten global biodiveristy hotpots. The focus of this expedition is to find out more about areas where information about plant life is limited, such as high altitude forests (above 1,800 metres) and mountain bush vegetation.
Sadly, much of this valuable flora is under severe threat from vegetation clearance to make way for agriculture, charcoal production and timber extraction. There is also a threat from the illegal collection of orchids, palms and succulents.
Your Kew - Join our network of friends
- Follow Kew on twitter
- Become a Fan of Kew on Facebook
- Join us on flickr and share your photo's of Kew Gardens and Wakehurst Place
Browse Kew News
Keep up to date with events and news from Kew
- english garden
- around the world
- ground breaking
- for kids
- english heritage
- for friends
- gifts that help
- the UK
- brand new
- for plant lovers
- special interest
- at risk
- Kew at home
- garden plants
- high up
Kew in Madagascar 09
Unable to parse the data in the RSS file.