Structured Science Syntheses to Inform Decision Making on Federal Public Lands

Fact Sheet 2024-3028
Prepared in cooperation with the Bureau of Land Management and the U.S. Fish and Wildlife Service
By: , and 

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Abstract

The U.S. Geological Survey, Bureau of Land Management, and U.S. Fish and Wildlife Service partnered to develop a new type of science product: the structured science synthesis. Structured science syntheses are peer-reviewed reports that synthesize science information about a priority resource management issue on public lands. Structured science syntheses are developed explicitly to facilitate the application of science to decision making. Key characteristics of structured science syntheses include that they are coproduced with resource managers, developed using clear, repeatable methods and designed for ease of use. The syntheses include different types of science information needed for analyses completed under the National Environmental Policy Act.

Suggested Citation

Dietrich, E.I., Carter, S.K., Rutherford, T.K., Gilbert, M.A., Haby, T.S., Johnston, A.N., Jordan, S.E., Kleist, N.J., Lehrter, R.J., Masters, E.H., Mengelt, C., Stoneburner, A.L., Teige, E.C., Tull, J.C., Whipple, S.E., and Wood, D.J.A., 2024, Structured science syntheses to inform decision making on Federal public lands: U.S. Geological Survey Fact Sheet 2024–3028, 4 p., https://doi.org/10.3133/fs20243028.

ISSN: 2327-6932 (online)

ISSN: 2327-6916 (print)

Table of Contents

  • A New Method for Synthesizing Science
  • Key Characteristics of Structured Science Syntheses
  • How to Use Structured Science Syntheses
  • References Cited
Publication type Report
Publication Subtype USGS Numbered Series
Title Structured science syntheses to inform decision making on Federal public lands
Series title Fact Sheet
Series number 2024-3028
DOI 10.3133/fs20243028
Year Published 2024
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Fort Collins Science Center, Northern Rocky Mountain Science Center
Description 4 p.
Online Only (Y/N) N
Google Analytic Metrics Metrics page
Additional publication details