EFG T1.3 Trop montane rainforests – previous maps

T1. Tropical-subtropical forests biome

T1
alt versions
Published

June 7, 2024

Version history

This page provides information about older or alternative versions of indicative distribution map for this ecosystem functional group T1.3 Trop montane rainforests. Check the current maps here.

  • Indicative Map (code: T1.3.IM.alt, version v2.2) discarded
  • Indicative Map (code: T1.3.IM.alt, version v2.1) superceeded
  • Indicative Map (code: T1.3.IM.alt, version v2.0) discarded
  • Web navigation (code: T1.3.web, version v1.0) requires review
  • Indicative Map (code: T1.3.IM.orig, version v1.0) discarded
  • Web navigation (code: T1.3.web.orig, version v1.0) requires review

Datasets

Datasets considered for previous versions of the indicative map

  • Chelsa-1.2 (Karger et al. 2017).
  • EarthEnv-Cloud-v1.0 (Wilson and Jetz 2016).
  • EarthEnv-LandCover-v1.0 (Tuanmu et al. 2014).
  • GMBA-Mountain-1.0 (Körner et al. 2011).
  • Nature-Map-2020 (Jung et al. 2020).
  • Resolve-Ecoregions-2017 (Dinerstein et al. 2017).

Available files

You can download geospatial data for older versions of these maps from the following sources:

T1.3.IM.alt (v2.1): Google Cloud bucket :: Zenodo repository (bundle of maps)

T1.3.web (v1.0): Mapbox tileset

T1.3.IM.orig (v1.0): Zenodo repository (EFG map)

T1.3.web.orig (v1.0): GitHub repository

Note that you need to login to some services like mapbox or earthengine, and in some cases you also need to request access to the files.

License information

Indicative maps have been released with a Creative Commons Attribution 4.0 International license.

But see details of dataset licenses below:

dataset license_info
Chelsa-1.2 Creative Commons Zero - No Rights Reserved (CC0 1.0) :: https://creativecommons.org/publicdomain/zero/1.0/ :: https://envidat.ch/#/metadata/bioclim_plus
EarthEnv-Cloud-v1.0 https://www.re3data.org/repository/r3d100013469 :: https://creativecommons.org/licenses/by-nc/4.0/
EarthEnv-LandCover-v1.0 https://www.re3data.org/repository/r3d100013469 :: https://creativecommons.org/licenses/by-nc/4.0/
GMBA-Mountain-1.0 https://ilias.unibe.ch/ilias.php?ref_id=1000515&cmd=showSummary&cmdClass=ilinfoscreengui&cmdNode=11r:p5:he&baseClass=ilRepositoryGUI
Nature-Map-2020 https://creativecommons.org/licenses/by/4.0/legalcode
Resolve-Ecoregions-2017 https://creativecommons.org/licenses/by/4.0/

References

References used in these versions of the maps.

  • Körner C, Paulsen J, Spehn E (2011) A definition of mountains and their bioclimatic belts for global comparisons of biodiversity data. Alpine Botany 121(2): 73-78 and the dataset DOI: 10.7892/boris.83486.
  • Martin Jung, Prabhat Raj Dahal, Stuart H. M. Butchart, Paul F. Donald, Xavier De Lamo, Myroslava Lesiv, … Piero Visconti. (2020). A global map of terrestrial habitat types [Data set]. Zenodo. DOI: 10.5281/zenodo.3673586
  • Tuanmu, M.-N. and W. Jetz (2014) A global 1-km consensus land-cover product for biodiversity and ecosystem modeling Global Ecology and Biogeography 23(9):1031–1045 DOI:10.1111/geb.12182
  • Wilson AM, Jetz W (2016) Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions. PLoS Biol 14(3): e1002415. doi:10.1371/journal.pbio.1002415. Dataset available on-line
  • Dinerstein E, Olson D, Joshi A, Vynne C, Burgess ND, Wikramanayake E, Hahn N, Palminteri S, Hedao P, Noss R, Hansen M, Locke H, Ellis EE, Jones B, Barber CV, Hayes R, Kormos C, Martin V, Crist E, Sechrest W, Price L, Baillie JEM, Weeden D, Suckling K, Davis C, Sizer N, Moore R, Thau D, Birch T, Potapov P, Turubanova S, Tyukavina A, de Souza N, Pintea L, Brito JC, Llewellyn Barnekow Lillesø JP, van Breugel P, Graudal L, Voge M, Al-Shammari KF, Saleem M (2017) An Ecoregion-Based Approach to Protecting Half the Terrestrial Realm, BioScience 67: 534–545. DOI:10.1093/biosci/bix014. Data-set available on-line
  • Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P. & Kessler, M. (2017) Climatologies at high resolution for the earth’s land surface areas. Scientific Data 4, 170122.