Output raster datasets from an application of a fine resolution spatially explicit forest water yield model in Florida's panhandle

These raster datasets are the output results for a spatial water yield model applied to an 11 county area in the state of Florida panhandle. The water yield model is adapted from Acharya, et al. 2022 and the spatial modelling process is detailed in this datasets associated publication. All data are in the WGS 1984 UTM Zone 16N coordinate system and have 10m horizontal spatial resolution. 

The output raster datasets contained here are water yield estimate informed with 2018 pine basal area, binary depth to water table, and average aridity index input rasters. These rasters have 10m spatial resolution, the raster extent covers 11 counties in the panhandle of Florida, the units are in centimeters of water yield per year. The water yield outputs consist of ten rasters representing the current water yield using the mean aridity raster, the water yield expected from the three pine tree thinning scenarios: 7m/hectare ba, 11 m/hectare, and 18 m/hectare, taken from the mean aridity index.  Then rasters representing the water yield expected from the three thinning scenarios under maximum, and minimum aridity indexes.

These ten outputs are listed here:

"wy_current_mean" Based on 2018 BA conditions; Mean ARID

"wy_18_mean" BA reduced to 18m2ha-1; Mean ARID

"wy_11_mean" BA reduced to 11m2ha-1; Mean ARID

"wy_7_mean" BA reduced to 7m2ha-1; Mean ARID

"wy_ 18_max" BA reduced to 18m2ha-1; Maximum ARID

"wy_ 11_max" BA reduced to 11m2ha-1; Maximum ARID

"wy_7_max" BA reduced to 7m2ha-1; Maximum ARID

"wy_ 18_min" BA reduced to 18m2ha-1; Minimum ARID

"wy_ 11_min" BA reduced to 11m2ha-1; Minimum ARID

"wy_ 7_min" BA reduced to 7m2ha-1; Minimum ARID

Water yield was estimated for 2018 using the following datasets to inform the model in the Current Water Yield Calculation tool:

Leaf area index modeled from a 2018 pine species basal area raster,

Depth to water table data provided by Florida Geological Survey and reclassified as a binary raster,

Average aridity index raster generated with precipitation data from PRISM Climate Group and MODIS PET data.

For detailed information on how the above inputs were developed, please see the associated publication:

Vernon, J., St. Peter, J., Crandall, C., Awowale, O.E., Medley, P., Drake, J., & Ibeanusi, V. (2023). Spatial application of southern pine water yield for prioritizing forest management activities. ISPRS International Journal of Geo-Information, 12(2), 34. https://doi.org/10.3390/ijgi12020034