Evaluating the best available social science for natural resource management decision-making
Abstract
© 2017 Increasing recognition of the human dimensions of natural resource management
issues, and of social and ecological sustainability and resilience as being inter-related,
highlights the importance of applying social science to natural resource management
decision-making. Moreover, a number of laws and regulations require natural resource
management agencies to consider the “best available science” (BAS) when making decisions,
including social science. Yet rarely do these laws and regulations define or identify
standards for BAS, and those who have tried to fill the gap have done so from the
standpoint of best available natural science. This paper proposes evaluative criteria
for best available social science (BASS), explaining why a broader set of criteria
than those used for natural science is needed. Although the natural and social sciences
share many of the same evaluative criteria for BAS, they also exhibit some differences,
especially where qualitative social science is concerned. Thus we argue that the evaluative
criteria for BAS should expand to include those associated with diverse social science
disciplines, particularly the qualitative social sciences. We provide one example
from the USA of how a federal agency − the U.S. Forest Service − has attempted to
incorporate BASS in responding to its BAS mandate associated with the national forest
planning process, drawing on different types of scientific information and in light
of these criteria. Greater attention to including BASS in natural resource management
decision-making can contribute to better, more equitable, and more defensible management
decisions and policies.
Type
Journal articleSubject
Science & TechnologyLife Sciences & Biomedicine
Environmental Sciences
Environmental Sciences & Ecology
Best available science
Qualitative social science
Environmental management
US Forest Service
ENDANGERED SPECIES ACT
TRADITIONAL ECOLOGICAL KNOWLEDGE
QUALITATIVE RESEARCH
SUSTAINABILITY SCIENCE
CONSERVATION SCIENCE
PACIFIC-NORTHWEST
WASHINGTON-STATE
UNITED-STATES
POLICY
COMMUNITIES
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https://hdl.handle.net/10161/18608Published Version (Please cite this version)
10.1016/j.envsci.2017.04.002Publication Info
Charnley, S; Carothers, C; Satterfield, T; Levine, A; Poe, MR; Norman, K; ... St.
Martin, K (2017). Evaluating the best available social science for natural resource management decision-making.
Environmental Science and Policy, 73. pp. 80-88. 10.1016/j.envsci.2017.04.002. Retrieved from https://hdl.handle.net/10161/18608.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Xavier Basurto
Truman and Nellie Semans/Alex Brown & Sons Associate Professor
I am interested in the fundamental question of how groups (human and non-human) can
find ways to self-organize, cooperate, and engage in successful collective action
for the benefit of the common good. To do this I strive to understand how the institutions
(formal and informal rules and norms) that govern social behavior, interplay with
biophysical variables to shape social-ecological systems. What kind of institutions
are better able to govern complex-adaptive systems? and how can societies (la

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