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Datasets for Adaptive Management of Eastern Black Rail in the Atlantic Coast Joint Venture Region

Citation

Lyons, J.E., Godar, A.J., Lawson, A.J., and Stantial, M.L., 2022, Datasets for Adaptive Management of Eastern Black Rail in the Atlantic Coast Joint Venture Region: U.S. Geological Survey, https://doi.org/10.5066/P9FXTPQQ.

Summary

These datasets were compiled during the development and application of an adaptive management framework for the conservation and recovery of Eastern Black Rails in the Atlantic Coast Joint Venture Region. The study is conducted in cooperation with the Eastern Black Rail Working Group of the Atlantic Coast Joint Venture. U.S. Geological Survey and the Atlantic Coast Joint Venture are working with partners to test alternative methods of manipulating coastal marsh and other wetland habitats to make them suitable for Black Rails with the long-term goal of stabilizing or reversing population declines. The objectives of this project are to develop an adaptive management framework that allows wetland managers to reduce our uncertainty about [...]

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“Eastern Black Rail Working Group Meeting January 2020.”
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Purpose

Multiple datasets were used to inform and apply the principles of adaptive management for Eastern Black Rails in the Atlantic Coast Joint Venture Region. One part of the data collection was for a value of information analysis that was used to identify critical management uncertainties. Data for the value of information analysis were collected using structured expert elicitation methods with Black Rail biologists and managers from multiple states in the region. These data can be used with qualitative value of information analysis. Additional data collection was used to create a Bayesian decision model to evaluate efficiency and effectiveness of habitat management practices.
Eastern Black Rail Working Group Meeting January 2020.
Eastern Black Rail Working Group Meeting January 2020.

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  • Eastern Ecological Science Center

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