Technology to Assist Land Management: User Satisfaction with an Online Forest Management System

Tim Kane, Wayne K. Clatterbuck, Krista Merry, Taeyoon Lee and Pete Bettinger ()
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Tim Kane: Department of Geography and Sustainability, University of Tennessee, Knoxville, TN 37996, USA
Wayne K. Clatterbuck: School of Natural Resources, University of Tennessee, Knoxville, TN 37996, USA
Krista Merry: School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA
Taeyoon Lee: Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX 77843, USA
Pete Bettinger: School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA

Land, 2024, vol. 13, issue 8, 1-13

Abstract: Surveys of forestry professionals who actively manage, or advise upon the management of, forest lands were conducted to determine their opinions of the usefulness of a forest management decision support model. The surveys were aimed at evaluating attitudes and concerns about the eYield model, which was developed to assist in the examination of management options for eastern United States forests. The coronavirus issue that began in 2020 necessitated a virtual workshop environment to illustrate the potential usefulness of the eYield model. Pre- and post-workshop assessment surveys suggested that there was an interest by land managers in tools like eYield that are straightforward to use. The results suggested that the instructions associated with eYield were generally clearly presented, and the outcomes produced by eYield were generally representative of real-world conditions. The surveys also indicated that people represented by the sample frame were willing to consider new technology that may be used to address complex forest land management issues. Improvements suggested by survey participants may result in greater user interaction with Internet-based decision support systems that focus on the management of land.

Keywords: land management; forestry; decision support (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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