| dataset | url |
|---|---|
| KG-climate-2018 | http://www.gloh2o.org/koppen/ :: https://doi.org/10.6084/m9.figshare.6396959 |
| Vegetation-height-Australia | http://data.auscover.org.au/xwiki/bin/view/Product+pages/ICESat+Vegetation+Structure |
EFG T2.5 Temp pyric humid forests – current maps
T2. Temperate-boreal forests and woodlands biome
This page provides information about the valid indicative distribution map for the ecosystem functional group T2.5 Temperate pyric humid forests. For older or alternative maps, see here.
Methods
Here is the methods summary for Map code and version: T2.5.web.alt v2.0.
Remote sensing estimates of canopy height were used as a direct indicator of the distribution of this group of tall forest ecosystems (Armston et al. 2015, Hao et al. 2019). We selected all areas with tree canopies taller than 40m, and clipped to the spatial extent of temperate climate types (Beck et al. 2018). Mapped occurrences were then aggregated to half degree spatial resolution and reclassified as major occurrences (>20% of cell area) and minor occurrences (< 20% of cell area).
Datasets
KG-climate-2018 (Beck et al. 2018):
Source of climatic stratification. Resolution: ca. 1km2, periods/epochs. Accuracy evaluation: >80%.
Vegetation-height-Australia (Armston et al. 2015):
Source of spatial indicator from remote sensing data. Resolution: <1km2, static. Accuracy evaluation: quantitative (variable).
Vegetation-height-Australia (Hao et al. 2019):
Source of spatial indicator from remote sensing data. Resolution: <1km2, static. Accuracy evaluation: quantitative (variable).
Processing
Processing steps used in this map are: Thresholds :: Clipping.
Map evaluation
This map is considered to be a Fine quality map series based on the following characteristics:
Concept alignment is Semi-direct,general.
Ground observations are NA.
The accuracy evaluation Quantitative accuracy assessment,documented,quantitative.
How to use the data
Available files
Following maps are considered current and valid indicative distribution maps for this ecosystem functional group. Web navigation maps are optimised for use in webapps, but they have similar methods and differ only in details of format and processing.
- Web navigation (code: T2.5.web.alt, version v2.0)
- Indicative Map (code: T2.5.IM.alt, version v2.0)
You can download geospatial data for this map from the following sources:
T2.5.web.alt (v2.0): Google Cloud bucket :: Zenodo repository (bundle of maps) :: Zenodo repository (EFG map) :: Mapbox tileset :: Earth Engine assets
T2.5.IM.alt (v2.0): Google Cloud bucket :: Zenodo repository (bundle of maps)
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.
Datasets used to create this map might have some restriction for commercial use, see details below.
| dataset | license_info |
|---|---|
| KG-climate-2018 | https://www.gloh2o.org/terms-of-use/ :: https://creativecommons.org/licenses/by-nc/4.0/ :: CC BY 4.0 |
References
References used in this version of the maps.
- Hao Tang, John Armston, Steven Hancock, Suzanne Marselis, Scott Goetz, Ralph Dubayah (2019) Characterizing global forest canopy cover distribution using spaceborne lidar, Remote Sensing of Environment 231: 111262 DOI: 10.1016/j.rse.2019.111262
- Beck, H., Zimmermann, N., McVicar, T. et al. (2018) Present and future Köppen-Geiger climate classification maps at 1-km resolution Sci Data 5, 180214 DOI:10.1038/sdata.2018.214
- Armston, J., Scarth, P., Lucas, R., Lewis, P., Disney, M., Phinn, S. (2015) Validation of continental scale vertical plant profile mapping using waveform lidar airborne laser scanning Silvilaser 2015 (Conference Proceedings). La Grande Motte, France, 28-30 September.