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

Isaque Daniel isaquedanielre at hotmail.com
Thu Sep 29 13:57:06 CEST 2016

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.



Global Forest Change - earthenginepartners.appspot.com<https://earthenginepartners.appspot.com/science-2013-global-forest/download_v1.2.html>
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

Statistical modelling of a new global potential vegetation ...<http://iopscience.iop.org/article/10.1088/1748-9326/7/4/044019>
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>
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
The terrestrial biosphere as a net source of greenhouse ...<http://www.nature.com/nature/journal/v531/n7593/full/nature16946.html>
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>
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

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
Network: http://profiles.google.com/tom.hengl
Publications: http://scholar.google.com/citations?user=2oYU7S8AAAAJ
ORCID ID: http://orcid.org/0000-0002-9921-5129

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