EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021

(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)

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5/23/2019  |   9:15 AM - 9:30 AM   |  ECOREST: AN R PACKAGE FOR RAPID ASSESSMENT HABITAT MODELING TO INFORM WATER RESOURCE MANAGEMENT   |  151 DEF

ECOREST: AN R PACKAGE FOR RAPID ASSESSMENT HABITAT MODELING TO INFORM WATER RESOURCE MANAGEMENT

Applied freshwater management and restoration projects often require decision-makers to evaluate and choose among potential management alternatives. Ecological modeling informs the decision-making process by simplifying complex ecological questions into discrete cause-and-effect relationships, forecasting outcomes of potential management actions, and testing actions against alternative future scenarios such as land use or climate change. Analytical tools exist and are often developed ad hoc when models are unavailable. To streamline ecological modeling for freshwater management, a generic, reproducible model was developed for habitat suitability analyses, which can be applied across ecosystem types and taxa. The model was programmed in the R Statistical Software Language and is being made available as a package for future users. The EcoRest package contains functions that allow for model visualization, habitat unit computation, and sensitivity analyses over model parameters. The US Fish and Wildlife Service previously published over 300 taxa-specific habitat models, which are pre-programmed into the package for easy accessibility. Additionally, this package contains cost-effective and incremental cost analysis functions, commonly applied in restoration planning. We demonstrate the utility of the package for informing freshwater management and restoration projects, with emphasis on alternatives comparison and scenario analysis.

  • Management
  • Restoration
  • Modeling

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Presenters/Authors

Darixa Hernandez Abrams (), US Army Corps of Engineers, darixa.hernandez@uga.edu;


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Kyle McKay (), US Army Corps of Engineers, kyle.mckay@usace.army.mil;


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Carra Carrillo (), US Army Corps of Engineers, Carra.C.Carrillo@erdc.dren.mil;


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Todd M. Swannack (), US Army Corps of Engineers, Todd.M.Swannack@usace.army.mil;


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