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RAD Adaptive Management for Transforming Ecosystems
Author(s) -
Abigail J. Lynch,
Laura M. Thompson,
John M. Morton,
Erik A. Beever,
Michael J. Clifford,
Douglas Limpinsel,
Robert T. Magill,
Dawn R. Magness,
Tracy Melvin,
Robert A. Newman,
Mark T. Porath,
Frank J. Rahel,
Joel H. Reynolds,
Gregor W. Schuurman,
Suresh A. Sethi,
Jennifer L. Wilkening
Publication year - 2021
Publication title -
bioscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.761
H-Index - 209
eISSN - 1525-3244
pISSN - 0006-3568
DOI - 10.1093/biosci/biab091
Subject(s) - adaptive management , operationalization , ecosystem management , agency (philosophy) , resource management (computing) , risk analysis (engineering) , environmental resource management , computer science , face (sociological concept) , natural resource , business , ecosystem , ecology , environmental science , sociology , epistemology , social science , philosophy , computer network , biology
Intensifying global change is propelling many ecosystems toward irreversible transformations. Natural resource managers face the complex task of conserving these important resources under unprecedented conditions and expanding uncertainty. As once familiar ecological conditions disappear, traditional management approaches that assume the future will reflect the past are becoming increasingly untenable. In the present article, we place adaptive management within the resist–accept–direct (RAD) framework to assist informed risk taking for transforming ecosystems. This approach empowers managers to use familiar techniques associated with adaptive management in the unfamiliar territory of ecosystem transformation. By providing a common lexicon, it gives decision makers agency to revisit objectives, consider new system trajectories, and discuss RAD strategies in relation to current system state and direction of change. Operationalizing RAD adaptive management requires periodic review and update of management actions and objectives; monitoring, experimentation, and pilot studies; and bet hedging to better identify and tolerate associated risks.

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