Pensacola Watershed Case Study

This data set contains the spatial layers that were input into ecosystem services models (Maps.zip), including the A2 and B1 landuse change scenarios, and the polygon boundaries for the Pensacola watershed. This dataset also includes the future climate data (ClimateData.csv) used in scenarios. Model output for 20 stochastic runs of each A2 and B1 scenario is included in three files: 1) the calculated ES metrics that were used to calculate ES indicators (ESMetrics_CountyYearly.xlsx), 2) the scaled ES indicators used as input into HWBI regression models (ESIndicators_CountyYearly.xlsx), and 3) the calculated HWBI Domain and composite scores (HWBIDomains_CountyYearly.xlsx).

This dataset is associated with the following publication:
Yee, S., E. Paulukonis, C. Simmons, M. Russell, R. Fulford, L. Harwell, and L. Smith. Projecting effects of land use change on human well-being through changes in ecosystem services. ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam, NETHERLANDS, 440(109358): 20, (2021).
Organization: U.S. Environmental Protection Agency
Organization URL: https://catalog.data.gov/organization/epa
Last updated: 2019-01-30
Tags: Forecasting, Human Well-Being Index, Relationship Functions, ecosystem services, land-use change