Exploring the science and data foundation for Federal public lands decisions

Alison C. Foster; Andrew T. Canchola; Travis S. Haby; Sarah K. Carter

doi:10.1371/journal.pone.0316013

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Exploring the science and data foundation for Federal public lands decisions

Alison C. Foster·Andrew T. Canchola·Travis S. Haby·Sarah K. Carter

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Abstract

Public lands provide diverse resources, values, and services worldwide. Laws and policies typically require consideration of science in public lands decisions, and resource managers are committed to science-informed decision-making. However, it can be challenging for managers to use, and document the use of, science and data in their decisions. To better understand science and data use in Federal public lands decisions in the United States, we assessed the number, type, and age of documents cited in 70 Environmental Assessments (EAs) completed by the Bureau of Land Management (BLM) in Colorado from 2015–2019. We focused on the BLM, as they manage the largest area of public lands in the United States. We selected Colorado as our study area, as actions proposed on BLM lands in Colorado are representative of those across the nation. Fifty percent of citations were categorized as science and 23% as data. EAs contained an average of 17 citations (range 0–111), with documents analyzing effects of oil and gas development and recreation actions including the highest and lowest mean number of citations (41 and 6, respectively). Of individual resource analysis sections within EAs, 24% contained ≥1 science citation and 21% contained ≥1 data citation. Journal articles were the most cited type of document (26% of citations) followed by non-BLM inventories (13%). Forty-seven percent of citations were relatively recent (2010 or later); the oldest citation was from 1927. Commonly analyzed resources with the highest mean number of citations were socioeconomics, mineral resources, and noise. Fourteen of 33 commonly analyzed resources included <1 citation on average. Actions and resources with no or few citations represent opportunities for strengthening the transparent use of science and data in public lands decision-making.

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Source-reported bounding extent: 37.00275906966762° to 40.94360758769497° latitude; -109.033613592161° to -102.12660083351636° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

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Alison C. Foster, Andrew T. Canchola, Travis S. Haby, Sarah K. Carter. 2025-02-10. Exploring the science and data foundation for Federal public lands decisions. https://doi.org/10.1371/journal.pone.0316013

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