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Transparency about values and assertions of fact in natural resource management
ID Treves, Adrian (Author), ID Paquet, Paul C. (Author), ID Artelle, Kyle A. (Author), ID Cornman, Ari M. (Author), ID Krofel, Miha (Author), ID Darimont, Christopher T (Author)

URLURL - Source URL, Visit https://doi.org/10.3389/fcosc.2021.631998 This link opens in a new window
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Abstract
Worldwide, unsustainable use of nature threatens many ecosystems and the services they provide for a broad diversity of life, including humans. Yet, governments commonly claim that the best available science supports their policies governing extraction of natural resources. We confront this apparent paradox by assessing the complexity of the intersections among value judgments, fact claims, and scientifically verified facts. Science can only describe how nature works and predict the likely outcomes of our actions, whereas values influence which actions or objectives society ought to pursue. In the context of natural resource management, particularly of fisheries and wildlife, governments typically set population targets or use quotas. Although these are fundamentally value judgments about how much of a resource a group of people can extract, quotas are often justified as numerical guidance derived from abstracted, mathematical, or theoretical models of extraction. We confront such justifications by examining failures in transparency about value judgments, which may accompany unsupported assertions articulated as factual claims. We illustrate this with two examples. Our first case concerns protection and human use of habitats harboring the northern spotted owl (Strix occidentalis caurina), revealing how biologists and policy scholars have argued for divergent roles of scientists within policy debates, and how debates between scientists engaged in policy-relevant research reveal undisclosed value judgments about communication of science beyond its role as a source of description (observation, measurement, analysis, and inference). Our second case concerns protection and use of endangered gray wolves (Canis lupus) and shows how undisclosed value judgments distorted the science behind a government policy. Finally, we draw from the literature of multiple disciplines and wildlife systems to recommend several improvements to the standards of transparency in applied research in natural resource management. These recommendations will help to prevent value-based distortions of science that can result in unsustainable uses and eventual extinctions of populations. We describe methods for communicating about values that avoid commingling factual claims and discuss approaches to communicating science that do not perpetuate the misconception that science alone can dictate policy without consideration of values. Our remedies can improve transparency in both expert and public debate about preserving and using natural resources, and thereby help prevent non-human population declines worldwide.

Language:English
Keywords:policy, scientific integrity, reservation, owl, sustainable use, wolf, model, research conduct
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:BF - Biotechnical Faculty
Publication status:Published
Publication version:Version of Record
Submitted for review:21.11.2021
Article acceptance date:25.02.2021
Publication date:10.05.2021
Year:2021
Number of pages:13 str.
Numbering:Vol. 2, article 631998
PID:20.500.12556/RUL-127150 This link opens in a new window
UDC:630*15
ISSN on article:2673-611X
DOI:10.3389/fcosc.2021.631998 This link opens in a new window
COBISS.SI-ID:63985155 This link opens in a new window
Publication date in RUL:20.05.2021
Views:1056
Downloads:220
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Record is a part of a journal

Title:Frontiers in conservation science
Shortened title:Front. conserv. sci.
Publisher:Frontiers
ISSN:2673-611X
COBISS.SI-ID:63981827 This link opens in a new window

Secondary language

Language:Slovenian
Keywords:politika upravljanja naravnih virov, ohranjanje narave, znanstvena integriteta, sova, volk, trajnostna raba, model, izvajanje raziskav

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