WaddenSee Dashboard
01
Chooising desired maps
02
Selecting environmental variables
Selecting relevant biodiversity maps is a fundamental decision in biodiversity research and conservation efforts. These datasets serve as the foundation for understanding and addressing critical issues according to the biodiversity
The selection of the environmental variables can be dependent on the availability of thedatasets and the use case. Examples of environmental variables are bathymetry and salinity.
03
Training the AI Model
Based on the selected biodiversity map and the environmental variables, a Deep Learning Model
can be trained for the WaddenSee
Generating your maps: The generated model can predict similar biodiversity maps when the same environmental variables
are given as input for any point in time
Abundance Map
Abundance maps in the Wadden Sea reveal specific species' distribution, shedding light on their preferred habitats and migration patterns. These maps quantify population densities, pinpointing biodiversity hotspots, and areas with high or low species numbers. Seasonal variations in species abundance are depicted, aiding understanding of ecosystem dynamics. Identifying biodiversity hotspots showcases regions of thriving species. Comparing abundance maps over time helps assess the impact of environmental changes on the Wadden Sea's ecosystems, including climate change and human activities. Furthermore, these maps guide conservation priorities by identifying areas that require protection and management to preserve biodiversity.
Click here for more information.
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