Everglades Vulnerability Analysis (EVA) modeling scripts and output
Dates
Publication Date
2023-03-06
Start Date
2000-01-01
End Date
2017-01-01
Citation
D'Acunto, L.E., Pearlstine, L., Haider, S.M., Hackett, C.E., Shinde, D., and Romañach, S.S., 2023, Everglades Vulnerability Analysis (EVA) modeling scripts and output: U.S. Geological Survey data release, https://doi.org/10.5066/P9JPVPGV.
Summary
The Everglades Vulnerability Analysis (EVA) is a series of connected Bayesian networks that models the landscape-scale response of indicators of Everglades ecosystem health to changes in hydrology and salinity on the landscape. Using the uncertainty built into each network, it also produces surfaces of vulnerability in relation to user-defined ‘ideal’ outcomes. This dataset includes the code used to build the modules and generate outputs of module outcome probabilities and landscape vulnerability.
Summary
The Everglades Vulnerability Analysis (EVA) is a series of connected Bayesian networks that models the landscape-scale response of indicators of Everglades ecosystem health to changes in hydrology and salinity on the landscape. Using the uncertainty built into each network, it also produces surfaces of vulnerability in relation to user-defined ‘ideal’ outcomes. This dataset includes the code used to build the modules and generate outputs of module outcome probabilities and landscape vulnerability.
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Related External Resources
Type: Related Primary Publication
D’Acunto, L.E., Pearlstine, L., Haider, S.M., Hackett, C.E., Shinde, D., and Romañach, S.S., 2023, The Everglades vulnerability analysis: Linking ecological models to support ecosystem restoration: Frontiers in Ecology and Evolution, v. 11, art. 1111551, https://doi.org/10.3389/fevo.2023.1111551.
The data were developed to generate a system-wide approach to modeling Everglades indicators of ecosystem health to support restoration planning and decision-making. Outputs can be used to explore how the modeled indicators of ecosystem health have responded to historical hydrology and salinity changes on the landscape.