Complete with Biomes and planting schemes, the map is the handiwork of Lauren Milton, who created it on her model-making course at The Arts University College of Bournemouth.
It's made from natural materials (mostly wood) and Milton has already been commissioned for a similar map.
Faculty at UW-Madison and Arizona State are building database of lichen and moss with funding from NSF.
When complete, the database will include entries for as many as 2.3 million lichen and moss specimens from more than 60 collections from U.S. herbaria. Each entry will include data about when and where the specimens were collected. Ultimately, the database will be in a searchable, publicly accessible space where, according to Nash and Gries, government agencies as well as environmental scientists, ecologists, climatologists, botanists and others can access the data. ...
Nash and Gries are particularly enthused by the geographic information that will be included with each entry. Typically, when a specimen is newly collected, the point of collection is noted. The new digitization project will catalog latitude and longitude coordinates. In a database, such information can be used to track the historic movement of the plants across the landscape. This promises to be particularly useful information as scientists document the effects of climate change. The Arctic, for example, is a veritable garden of lichens. But polar regions are also among the most affected by potential climate change, and the composition of lichen ecosystems may change dramatically.
- UW News
LONDON: A method of predicting which individuals may become friends on social networking sites based on the places they visit out in the real world has been developed by researchers at Cambridge University in Britain. ...
“We monitored the behaviour of people going to places and the connections they made. We found that lots of people who go to the same places end up adding each other as friends, accounting for around 30 per cent of new social links,” [researcher Salvatore] Scellato said.
More intimate places (gyms, work) are given higher preference as predictors over less intimate ones (airports, stadiums). The work used data from Gowalla.