The pleasures and frustrations of combining biodiversity data

This website provides information on recommended locations, mainly in protected areas, suited for the establishment of genetic reserves for Avena, Beta, Brassica and Prunus targeted crop wild relative taxa across Europe, in the context of the AEGRO project. Available information includes ecogeographical data as well as an inventory of crop wild relatives belonging to the four target genera occurring at each location.

This is the map of the recommended sites:

Which is great, and even greater is the fact that you can look at individual species, and the suggested protected areas, using a nifty Google Maps plugin. This, for example, is the Estrecho site in southern Spain, which is where you find an endemic wild oat (among other things).

The problem is 1 that I can find no way of mashing these data up with anything else. For example, say you want to add Genesys data to see if any other species occur in this, or any other, protected area. I don’t see how. You know where those Genesys accessions are:

But there’s no way to combine the two. Or maybe you want to see if the area was affected by fires last summer. Can’t be done. You know where the fires occurred:

But there’s no way to combine the two. Whereas of course you can easily combine that NASA fire data with the Genesys data, simply by bringing both into Google Earth. 2

So I guess my plea is: if you’re going to use Google Maps or Google Earth to display your biodiversity data, please also make it downloadable. Maybe there was a reason why this couldn’t be done in this project. I’m all ears.

Oh, and there’s another thing while I’m indulging my hobbyhorses. Can’t we use some innovative approaches to add to these kinds of datasets? I mean, if it can be done for amphibians

Nibbles: Spatial data, poverty, Livestock diseases, Romania, Cultural diversity, Iraqi marshes, Citizen science , Biohappiness, Beer!

Brainfood: Introgression, Sorghum and drought, Rice and drought, Carrot evaluation, Wheat breeding, Legume conservation, Wild Tibet soybean, Gezira, Biochar, CA, Grass ecotypes and climate, Organic ag and nutrients

Climate change good for mother-in-law shock

I won’t beat around the (tea) bush. CIAT’s work on what will happen to the suitability for tea of the areas where the crop is currently grown in Kenya was kinda worrying. Tea is the mother-in-law’s main source of income. No need to fret, however. I gave the lat/longs of the MIL’s spread to our friends at CIAT (it’s the little blue dot at the bottom of the map) and when they ran it through their Maxent models it turns out that the “good” tea suitability of today (yellow on the map) will increase to “very good” by 2020 (green) and even beyond that by 2050. Phew! Many thanks to Anton and Andy at CIAT for saving me some sleepless nights. Perhaps you can do China next?

Brainfood: Millet biscuits, Wheat micronutrients, Diversification and C footprint, Agroforestry, Epazote, Grape history, Belgian farmers, Millet phenology, Species migration, Barley domestication, Sheep genetics