Details

Autor(en) / Beteiligte

• Fournier, Auriel M. V.
• Wilson, R. Randy
• Gleason, Jeffrey S.
• Adams, Evan M.
• Brush, Janell M.
• Cooper, Robert J.
• DeMaso, Stephen J.
• Driscoll, Melanie J. L.
• Frederick, Peter C.
• Jodice, Patrick G. R.
• Ottinger, Mary Ann
• Reeves, David B.
• Seymour, Michael A.
• Sharuga, Stephanie M.
• Tirpak, John M.
• Vermillion, William G.
• Zenzal, Theodore J.
• Lyons, James E.
• Woodrey, Mark S.

Titel

Structured Decision Making to Prioritize Regional Bird Monitoring Needs

Ist Teil von

• INFORMS journal on applied analytics, 2023-05, Vol.53 (3), p.207-217

Ort / Verlag

Catonsville: Institute for Operations Research and the Management Sciences

Erscheinungsjahr

2023

Quelle

Informs

Beschreibungen/Notizen

• Conservation planning for large ecosystems has multiple benefits but is often challenging to implement because of the multiple jurisdictions, species, and habitats involved. In addition, decision making at large spatial scales can be hampered because many approaches do not explicitly incorporate potentially competing values and concerns of stakeholders. After the Deepwater Horizon oil spill, establishing baselines was challenging because of (1) variation in study designs, (2) inconsistent use of explicit objectives and hypotheses, (3) inconsistent use of standardized monitoring protocols, and (4) variation in spatial and temporal scope associated with avian monitoring projects before the spill. Herein, we show how the Gulf of Mexico Avian Monitoring Network members used structured decision making to identify bird monitoring priorities. We used multiple tools and techniques to clearly define the problem and stakeholder objectives and to identify bird monitoring priorities at the scale of the entire northern Gulf of Mexico region. Although our example is specific to the northern Gulf of Mexico, this approach provides an example of how stakeholder values can be incorporated into the coordination process of broad-scale monitoring programs to address management, restoration, and scientific questions in other ecosystems and for other taxa. History: This paper was refereed. This paper was accepted for the Special Issue of INFORMS Journal on Applied Analytics—Decision Analysis. Funding: Thanks to the National Fish and Wildlife Foundation [Grant 324423], which supported A. Fournier as a postdoctoral research associate at Mississippi State University. M. Woodrey was supported by the U.S. Department of Agriculture, National Institute of Food and Agriculture, Hatch Project funds, the Mississippi Agricultural and Forestry Experiment Station, National Oceanographic and Atmospheric Administration [Grant NA16NOS4200088 to the Mississippi Department of Marine Resources’ Grand Bay National Estuarine Research Reserve], and the Mississippi Department of Marine Resources [Grant 8200025414]. This publication is a contribution of the Mississippi Agricultural and Forestry Experiment Station. T. Zenzal was supported by the National Oceanic and Atmospheric Administration RESTORE Act Science Program [Grant NA17NOS4510092].