Geo mashup artist needed

Luigi mentioned the UK Science’s Museum’s interactive map on climate change and crops. Elsewhere, ((Yes, there is life outside agro.agro.biodiver.se.)) he draws attention to maps of diabetes around the world. Now I find a map of “small farms” in the US.

What I want, obviously, is a graphic that will show me any relationships between the prevalence of small farms and diabetes, over time, corrected for access to the internet, obviously, and for the whole world. Not a lot to ask, is it? Oh, and I can’t find diabetes at Gapminder World.

Niche modeling and common sense

We have blogged a few times about niche modeling and how to improve it. Below Mohamed Fawzy Farag Nawar briefly highlights what will become a useful resource in this field, Lifemapper (the data for the modeling comes from GBIF), but points out some limitations.

Lifemapper.org is an initiative to implement online some sort of generic model to predict where a species might exists based on where it was collected, or where it was otherwise documented that it lived. Fine. But here is the results of the model on the species Clivipollia pulcher. This is a marine mollusk that was found along the coasts of eastern Australian, Papua New Guinea and the Philippines. You will see on the map of predicted distribution that the model suggests it might be found in various places inland in central Africa and Latin America. That is what you get when essential prior knowledge is not introduced to the model. Something like telling the developer of the model that marine species should be modeled to a different set of environmental data than Worldclim, which should only be used for terrestrial fauna and flora. Agricultural species are included in Lifemapper, though again the predicted distributions will have to be looked at fairly carefully before use.

Andy Jarvis in the limelight

Our friend, colleague and occasional contributor Andy Jarvis received GIBF‘s Ebbe Nielsen Prize for innovative bioinformatics research last night in Copenhagen. Andy has been doing his trademark work on the spatial analysis of crop wild relative distributions ((The maps below are an example. They show the modeled distribution of species richness in the genus Phaseolus now, and then in 2050.)) at CIAT, just outside Cali in Colombia, jointly with Bioversity International. He used the occasion to highlight the contribution made to this effort by his numerous Colombian colleagues. Congratulations to all of them.

Phaseolus_current_ predicted_ species_ richness

after

LATER: Here’s Andy’s talk.