Learning Groups in Natural Resource Management: Collaboration on the Olympic Peninsula, Washington

Collaboration in natural resource management has been growing over the last 30 years. There are many examples of scientists or managers working with stakeholders to complete projects, but fewer examples of these groups all working together. We propose that when land managers, researchers, stakeholders, and tribes innovate and learn together, and include science-based experimentation, higher levels of trust are possible. We explore a social learning-based approach used to develop and run a large-scale adaptive forest management experiment on the Olympic Peninsula, WA. We describe an application of social learning that we refer to as learning groups which bring together people from different backgrounds and interests to address specific portions of the experiment. In this paper, we discuss methodologies to enact learning groups, an assessment of learning group categories, principles of success, and barriers to this approach to help others embark on collaborative work that seeks to inform natural resource management.

Authors

Institutions

Publication Details

Journal
Society & Natural Resources
Published
2026-07-16
DOI
https://doi.org/10.1080/08941920.2026.2701451
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Learning Groups in Natural Resource Management: Collaboration on the Olympic Peninsula, Washington

Teodora Minkova, Bernard T. Bormann, Bryan D. Pelach, Ally Kruper et al.
Society & Natural Resources
Forest Management and Policy
article

Learning Groups in Natural Resource Management: Collaboration on the Olympic Peninsula, Washington

Teodora Minkova, Bernard T. Bormann, Bryan D. Pelach, Ally Kruper, Courtney R. Bobsin, Marc Miller
article en

Abstract

Collaboration in natural resource management has been growing over the last 30 years. There are many examples of scientists or managers working with stakeholders to complete projects, but fewer examples of these groups all working together. We propose that when land managers, researchers, stakeholders, and tribes innovate and learn together, and include science-based experimentation, higher levels of trust are possible. We explore a social learning-based approach used to develop and run a large-scale adaptive forest management experiment on the Olympic Peninsula, WA. We describe an application of social learning that we refer to as learning groups which bring together people from different backgrounds and interests to address specific portions of the experiment. In this paper, we discuss methodologies to enact learning groups, an assessment of learning group categories, principles of success, and barriers to this approach to help others embark on collaborative work that seeks to inform natural resource management.

Society & Natural Resources
Washington Department of Natural Resources (US), University of Washington (US)
Openalex Percentile: Top 10%
Forest Management and Policy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.