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Woods Hole Coastal and Marine Science Center > Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States > Landscape Change Prediction > Figure 5

Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States

Diagram of Bayesian network used in model predictions.

Figure 3. Conceptual diagram showing the structure of the Bayesian network used to assess potential sea-level rise impacts on the coastal landscape. Here sea-level projections (SL) and vertical land movement (VLM) are driving forces (green boxes), elevation (E) and land cover (LC) are boundary conditions (red boxes), and adjusted elevation (AE) and coastal response type (CR) (blue boxes) the sea-level rise response variables. The equation shown relates SL, VLM, and E to product AE predictions, where x indicates dependence on the geospatial location and t indicates dependence on time. AE predictions and LC are related through expert knowledge to produce CR predictions.

 

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