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

[Tomislav Hengl]

Hi Isaque,

This would be the actual vegetation cover. Potential vegetation is about
extrapolating distribution of plant species, vegetation communities and/or
biomes to global land mass using ecological variables and training points
(natural/protected and/or historic sites). Correctly done by Levavasseur et
al. 2012, but I might do it at 1 km and with more covs. Unless it already
exists?

On 29 Sep 2016 13:58, "Isaque Daniel" <isaquedanielre at hotmail.com> wrote:

> Hi,
> About Vegetation can you use the Tree Cover map, develop by Hansen team.
>
>
> They use Landsat data to identify the tree cover coverage.
>
>
> The research was published in Science journal.
>
> Best
> Isaque
>
>
> https://earthenginepartners.appspot.com/science-2013-
> global-forest/download_v1.2.html
> Global Forest Change - earthenginepartners.appspot.com
> <https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.2.html>
> earthenginepartners.appspot.com
> Global Forest Change 2000–2014 Data Download. Results from time-series
> analysis of Landsat images in characterizing global forest extent and
> change from 2000 ...
>
>
> ------------------------------------------------------------
> ------------------------------------------------------
> Eng. Agr. Isaque Daniel Rocha Eberhardt
> Mestre em Sensoriamento Remoto - Instituto Nacional de Pesquisas Espaciais
> (INPE)
> Doutorando em Transportes - Universidade de Bras??lia (UNB)
> Mobile: +55 (061) 99015658
> ------------------------------------------------------------
> ------------------------------------------------------
> Agronomist engineer
> Master in Remote Sensing - National  Institute for Space Research (INPE)
> - Brazil
> PHD Student in Transport - Bras??lia University (UNB)
>
>
> ------------------------------
> *De:* R-sig-Geo <r-sig-geo-bounces at r-project.org> em nome de Tomislav
> Hengl <tom.hengl at gmail.com>
> *Enviado:* quinta-feira, 29 de setembro de 2016 11:28
> *Para:* r-sig-geo at r-project.org
> *Assunto:* [R-sig-Geo] Global potential natural vegetation at 1km?
>
> 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://iopscience.iop.org/article/10.1088/1748-9326/7/4/044019>
> Statistical modelling of a new global potential vegetation ...
> <http://iopscience.iop.org/article/10.1088/1748-9326/7/4/044019>
> iopscience.iop.org
> The potential natural vegetation (PNV) distribution is required for
> several studies in environmental sciences. Most of the available databases
> are quite subjective or ...
>
> http://www.bridge.bris.ac.uk/resources/Databases/BIOMES_data data set
> BRIDGE - Bristol University
> <http://www.bridge.bris.ac.uk/resources/Databases/BIOMES_data>
> www.bridge.bris.ac.uk
> 1: Vegetation maps for the Mid-holocene and last Glacial Maximum. The
> Palaeovegetation Mapping Project (generally known as BIOME 6000: Prentice
> and Webb, 1998) was ...
>
> for model training,
>
> 2. Tian et al. 2015
> (http://www.nature.com/nature/journal/v531/n7593/full/nature16946.html)
> The terrestrial biosphere as a net source of greenhouse ...
> <http://www.nature.com/nature/journal/v531/n7593/full/nature16946.html>
> www.nature.com
> The terrestrial biosphere can release or absorb the greenhouse gases,
> carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), and therefore
> has an important role ...
>
>
> 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
> U.S. Potential Natural Vegetation, Original Kuchler Types ...
> <https://databasin.org/datasets/1c7a301c8e6843f2b4fe63fdb3a9fe39>
> databasin.org
> U.S. Potential Natural Vegetation, Original Kuchler Types, v2.0 (Spatially
> Adjusted to Correct Geometric Distortions)
>
> 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.
>
> --
> T. (Tom) Hengl
> Researcher @ ISRIC - World Soil Information
> Url: http://www.wageningenur.nl/en/Persons/dr.-T-Tom-Hengl.htm
> <http://www.wageningenur.nl/en/Persons/dr.-T-Tom-Hengl.htm>
> Network: http://profiles.google.com/tom.hengl
> <http://profiles.google.com/tom.hengl>
> Publications: http://scholar.google.com/citations?user=2oYU7S8AAAAJ
> <http://scholar.google.com/citations?user=2oYU7S8AAAAJ>
> ORCID ID: http://orcid.org/0000-0002-9921-5129
> <http://orcid.org/0000-0002-9921-5129>
>
>
>
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