EFG F2.2 Small perm lakes – current maps
F2. Lakes biome
F2
valid
This page provides information about the valid indicative distribution map for the ecosystem functional group F2.2 Small permanent freshwater lakes. For older or alternative maps, see here.
Methods
Here is the methods summary for Map code and version: F2.2.web.mix v2.0.
Freshwater ecoregions (Abell et al. 2008) were identified as containing occurrences of these functional groups if: i) their descriptions mentioned features consistent with those identified in the profile of the Ecosystem Functional Group; and ii) if their location was consistent with the ecological drivers described in the profile. Within those areas, locations of small lakes (<100km2), excluding artificial lakes (inclusion on types 1 and 3 only), were taken from the HydroLAKES database (Messager et al. 2016) and combined with global estimates of surface water phenology (classes 1, 2 and 7 from Pekel et al. 2016), occurrences were aggregated to 10 minutes spatial resolution.
Datasets
FEOW-2008 (Abell et al. 2008):
Source of biogeographical range. Resolution: variable (polygons), static. Accuracy evaluation: qualitative (experts judgement).
GSW-1.1 (Pekel et al. 2016):
Source of Surface water phenology. Resolution: <1km2, periods/epochs. Accuracy evaluation: >90%.
HydroLAKES-1.0 (Messager et al. 2016):
Source of validated distribution records. Resolution: <1km2, static. Accuracy evaluation: quantitative (subsets).
Processing
Processing steps used in this map are: Selection :: Reclassification :: Thresholds :: Buffering.
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.
- Indicative Map (code: F2.2.IM.mix, version v2.0)
- Web navigation (code: F2.2.web.mix, version v2.0)
You can download geospatial data for this map from the following sources:
F2.2.IM.mix (v2.0): Google Cloud bucket :: Zenodo repository (bundle of maps)
F2.2.web.mix (v2.0): Google Cloud bucket :: Zenodo repository (bundle of maps) :: Zenodo repository (EFG map) :: Mapbox tileset :: Earth Engine assets
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 |
|---|---|
| FEOW-2008 | https://www.feow.org/copyright :: custom license :: non commercial use |
| GSW-1.1 | produced under the Copernicus Programme and is provided free of charge, without restriction of use :: Copernicus Regulation :: http://www.copernicus.eu/main/data-access/ |
| HydroLAKES-1.0 | Creative Commons Attribution (CC-BY) 4.0 International License :: http://creativecommons.org/licenses/by/4.0/ |
References
References used in this version of the maps.
- Abell R, Thieme ML, Revenga C, Bryer M, Kottelat M, Bogutskaya N, Coad B, Mandrak N, Contreras Balderas S, Bussing W, Stiassny MLJ, Skelton P, Allen GR, Unmack P, Naseka A, Ng R, Sindorf N, Robertson J, Armijo E, Higgins JV, Heibel TJ, Wikramanayake E, Olson D, López HL, Reis RE, Lundberg JG, Sabaj Pérez MH, Petry P (2008) Freshwater ecoregions of the world: A new map of biogeographic units for freshwater biodiversity conservation, BioScience 58: 403–414. DOI:10.1641/B580507
- Pekel JF, Cottam A, Gorelick N, Belward AS (2016) High-resolution mapping of global surface water and its long-term changes Nature 540, 418-422 DOI:10.1038/nature20584
- Messager, M.L., Lehner, B., Grill, G., Nedeva, I., Schmitt, O. (2016) Estimating the volume and age of water stored in global lakes using a geo-statistical approach Nature Communications 13603 DOI:10.1038/ncomms13603