Freshwater habitat regionalization

Clustering
Regionalization
Machine Learning
Clustering the world’s freshwater habitats
Authors

Marlene Schürz

Dr. Jaime R. Garcia Marquez

Dr. Sami Domisch

Published

Jul 1, 2023

Freshwater habitats across regions (© S. Domisch)

See the online maps of the six drainage basins:

» Click here for the visualization «

Freshwater habitats and biodiversity require efficient protection measures calling for detailed information regarding the spatial distribution of freshwater environmental characteristics. We developed a data-driven approach to identify environmental characteristics and similarities between freshwater habitats at high-resolution and across large spatial scales. We aggregated land cover, geomorphological and climatic variables across the sub-catchments of the Hydrography90m dataset in six drainage basins across continents and climatic zones. We then employed a k-means cluster analysis and tested the effect of (i) spatial scale, (ii) the choice of environmental variables, and (iii) the combination of scale and variables, on the resulting habitat regionalization.

Our manuscript is in preparation and the following map shows the results of the six drainage basins (click here for the fullscreen interactive map):

Loads content from geo.igb-berlin.de

CC BY-NC 4.0

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