A Decision Support Tool for Adaptive Management of Native Prairie Ecosystems

Victoria M. Hunt (), Sarah K. Jacobi (), Jill J. Gannon (), Jennifer E. Zorn (), Clinton T. Moore () and Eric V. Lonsdorf ()
Additional contact information
Victoria M. Hunt: University of Illinois at Chicago, Chicago, Illinois 60607; and Chicago Botanic Garden, Glencoe, Illinois 60022
Sarah K. Jacobi: Chicago Botanic Garden, Glencoe, Illinois 60022
Jill J. Gannon: U.S. Geological Survey, Northern Prairie Wildlife Research Center, Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia 30602
Jennifer E. Zorn: Division of Biological Resources, U.S. Fish and Wildlife Service, Kenmare, North Dakota 58746
Clinton T. Moore: U.S. Geological Survey, Georgia Cooperative Fish and Wildlife Research Unit, Warnell School of Forestry and Natural Resources, University of Georgia, Athens, Georgia 30602
Eric V. Lonsdorf: Franklin and Marshall College, Lancaster, Pennsylvania 17603

Interfaces, 2016, vol. 46, issue 4, 334-344

Abstract: The Native Prairie Adaptive Management initiative is a decision support framework that provides cooperators with management-action recommendations to help them conserve native species and suppress invasive species on prairie lands. We developed a Web-based decision support tool (DST) for the U.S. Fish and Wildlife Service and the U.S. Geological Survey initiative. The DST facilitates cross-organizational data sharing, performs analyses to improve conservation delivery, and requires no technical expertise to operate. Each year since 2012, the DST has used monitoring data to update ecological knowledge that it translates into situation-specific management-action recommendations (e.g., controlled burn or prescribed graze). The DST provides annual recommendations for more than 10,000 acres on 20 refuge complexes in four U.S. states. We describe how the DST promotes the long-term implementation of the program for which it was designed and may facilitate decision support and improve ecological outcomes of other conservation efforts.

Keywords: adaptive management; Bayesian statistics; conservation; databases; decision support tool (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/inte.2015.0822 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:46:y:2016:i:4:p:334-344

Access Statistics for this article

More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().