[R-sig-Geo] Global potential natural vegetation at 1km?

Albin Blaschka albin.blaschka at standortsanalyse.net
Sun Oct 2 10:41:36 CEST 2016


Hello!

Most probably not exactly what you want, but maybe useful anyways...

"Ecological Land Units Map of the World" (Resolution is 250m)

https://blogs.esri.com/esri/esri-insider/2014/12/09/the-first-detailed-ecological-land-unitsmap-in-the-world/

Download:
http://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/

regards,
Albin


Am 2016-09-29 um 13:28 schrieb Tomislav Hengl:
> Dear R-sig-geo,
>
> I have been looking for an existing map of global PNV (potential natural
> vegetation) that we could maybe use global soil / biomass modelling. So
> far, I noticed only two data sources that could provide compatible data:
>
> 1. Levavasseur et al. 2012
> (http://iopscience.iop.org/article/10.1088/1748-9326/7/4/044019) uses
> http://www.bridge.bris.ac.uk/resources/Databases/BIOMES_data data set
> for model training,
>
> 2. Tian et al. 2015
> (http://www.nature.com/nature/journal/v531/n7593/full/nature16946.html)
>
> However, both maps seem to refer to very coarse resolutions 10-50 km and
> I would prefer to use 1 km resolution data (not to mention that the
> legends are a mixture of general vegetation groups / vegetation-climate
> groups). For USA, much more detailed natural vegetation map is available
> (https://databasin.org/datasets/1c7a301c8e6843f2b4fe63fdb3a9fe39), but I
> guess nothing comparable is available for the whole world? Are you maybe
> aware of any such global maps representing e.g. plant communities
> (https://www.wikiwand.com/en/Plant_community)?
>
> I might just try myself to derive global potential vegetation (plant
> communities) using e.g. GBIF data or the BIOME 6000 data and
> environmental covariates at 1 km. At least the training data seems to be
> available for modeling.
>
> If you are aware of any similar project / initiative / data set please
> let me know.
>


-- 
| Dr.rer.nat. Albin Blaschka
| Etrichstrasse 26, A-5020 Salzburg
|
| * www.researchgate.net/profile/Albin_Blaschka *
| - It's hard to live in the mountains, hard but not hopeless!



More information about the R-sig-Geo mailing list