Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Aug;27(4):669-78.
doi: 10.1111/cobi.12050. Epub 2013 Apr 10.

Achieving conservation science that bridges the knowledge-action boundary

Affiliations
Free PMC article

Achieving conservation science that bridges the knowledge-action boundary

Carly N Cook et al. Conserv Biol. 2013 Aug.
Free PMC article

Abstract

There are many barriers to using science to inform conservation policy and practice. Conservation scientists wishing to produce management-relevant science must balance this goal with the imperative of demonstrating novelty and rigor in their science. Decision makers seeking to make evidence-based decisions must balance a desire for knowledge with the need to act despite uncertainty. Generating science that will effectively inform management decisions requires that the production of information (the components of knowledge) be salient (relevant and timely), credible (authoritative, believable, and trusted), and legitimate (developed via a process that considers the values and perspectives of all relevant actors) in the eyes of both researchers and decision makers. We perceive 3 key challenges for those hoping to generate conservation science that achieves all 3 of these information characteristics. First, scientific and management audiences can have contrasting perceptions about the salience of research. Second, the pursuit of scientific credibility can come at the cost of salience and legitimacy in the eyes of decision makers, and, third, different actors can have conflicting views about what constitutes legitimate information. We highlight 4 institutional frameworks that can facilitate science that will inform management: boundary organizations (environmental organizations that span the boundary between science and management), research scientists embedded in resource management agencies, formal links between decision makers and scientists at research-focused institutions, and training programs for conservation professionals. Although these are not the only approaches to generating boundary-spanning science, nor are they mutually exclusive, they provide mechanisms for promoting communication, translation, and mediation across the knowledge-action boundary. We believe that despite the challenges, conservation science should strive to be a boundary science, which both advances scientific understanding and contributes to decision making.

Keywords: boundary organizations; boundary science; ciencia de frontera; decision making; environmental management; implementation gap; incertidumbre científica; manejo ambiental; organizaciones de frontera; scientific uncertainty; toma de decisiones; vacío de implementación.

PubMed Disclaimer

Figures

Figure 1
Figure 1
A general relation between monetary investment in a conservation intervention and the desired conservation benefit, which masks substantial heterogeneity in the outcomes at different sites (circled points indicate the degree to which different outcomes can be generated despite the same level of investment in an intervention).

References

    1. Arlettaz R, Schaub M, Fournier J, Reichlin TS, Sierro A, Watson JEM, Braunisch V. From publications to public actions: when conservation biologists bridge the gap between research and implementation. BioScience. 2010;60:835–842.
    1. Bayard TS, Elphick CS. How area sensitivity in birds is studied. Conservation Biology. 2010;24:938–947. - PubMed
    1. Black S, Groombridge J. Use of a business excellence model to improve conservation programs. Conservation Biology. 2010;24:1448–1458. - PubMed
    1. Bried JT, Ervin GN. Randomized intervention analysis for detecting non-random change and management impact: dragonfly examples. Ecological Indicators. 2011;11:535–539.
    1. Brooke C. Conservation and adaptation to climate change. Conservation Biology. 2008;22:1471–1476. - PubMed

Publication types