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Predicting Change in Eelgrass Distribution Due to Sea Level Rise
Citation:
Clinton, Pat, M. Frazier, L. McCoy, D. Reusser, AND H. Lee. Predicting Change in Eelgrass Distribution Due to Sea Level Rise. Presented at Central Oregon Coast Geospatial Statistics Symposium - 2013, Newport, OR, May 31, 2013.
Impact/Purpose:
Both sea-level rise and loss of eelgrass beds are of world wide concern. PCEB has constructed an ArcGIS model to predict change in eelgrass distribution under varying sea level rise scenarios. At this stage of development,the model explores only the effects of bathymetric level changes and not other climate change induced effects that might include changes in temperature, salinity or precipitation.
Description:
The eelgrass species Zostera marina is the dominant estuarine seagrass on the Pacific Northwest coast of North America and provides important ecosystem services and functions. The loss of eelgrass bed acreage due to environmental pressures is of world-wide concern, yet predicted spatial redistribution of intertidal eelgrass beds under climate change induced sea-level rise is largely unexplored through spatially explicit modeling. Here, we construct a model predicting the spatial redistribution of the intertidal eelgrass Zostera marina under varying sea-level rise scenarios in three estuaries on the Oregon coast using ArcGis tools. Using remarkably few spatial datasets, the model exploits known relationships between eelgrass and physical constraints to bed expansion to provide coefficients to a predictive regression. At this stage of development, the model dubbed BATHTUB (Bathymetry Affecting Tidal Habitats Toward Upland Boundaries) explores only the effects of bathymetric changes and not other climate change induced effects in temperature, salinity or precipitation.