Area of habitat still above water per decade of projected sea level rise for islands in two study areas off Florida's Gulf coast
Dates
Publication Date
2023-08-28
Start Date
2030-01-01
End Date
2150-12-31
Citation
Koen, E.L., Barichivich, W.J., and Walls, S.C., 2023, Area of habitat still above water per decade of projected sea level rise for islands in two study areas off Florida's Gulf coast: U.S. Geological Survey data release, https://doi.org/10.5066/P9RWLSCI.
Summary
Sand beaches are dynamic, making it difficult to accurately predict habitat loss from sea level rise (SLR). We mapped sand beach habitat based on two datasets - a remotely sensed land cover and hand-digitized aerial imagery collected concurrently with digital elevation data. Data include the predicted area of beach habitat still above water (units = number of pixels) from SLR per decade, for 3 SLR scenarios, based on two mapping methods, for 12 barrier island beaches and 4 control islands off Florida's Gulf Coast.
Summary
Sand beaches are dynamic, making it difficult to accurately predict habitat loss from sea level rise (SLR). We mapped sand beach habitat based on two datasets - a remotely sensed land cover and hand-digitized aerial imagery collected concurrently with digital elevation data. Data include the predicted area of beach habitat still above water (units = number of pixels) from SLR per decade, for 3 SLR scenarios, based on two mapping methods, for 12 barrier island beaches and 4 control islands off Florida's Gulf Coast.
Koen, E.L., Barichivich, W.J., and Walls, S.C., 2023, The sands of time: predicting sea level rise impacts to barrier island habitats: Global Ecology and Conservation, v. 47, art. e02643, https://doi.org/10.1016/j.gecco.2023.e02643.
These data can be used to compare, between two mapping methods, the proportion of habitat (sand beach or mangrove) on barrier islands predicted to be inundated from sea level rise (SLR) per decade based on published SLR scenarios. The values in the table are pixel counts, meant for calculating relative proportions for comparison between methods (not absolute areas).
