Managing for RADical ecosystem change: applying the Resist‐Accept‐Direct (RAD) framework.

Autor: Lynch, Abigail J1 (AUTHOR) ajlynch@usgs.gov, Thompson, Laura M1,2 (AUTHOR), Beever, Erik A3,4 (AUTHOR), Cole, David N5 (AUTHOR), Engman, Augustin C2,6 (AUTHOR), Hawkins Hoffman, Cat7 (AUTHOR), Jackson, Stephen T8,9 (AUTHOR), Krabbenhoft, Trevor J10 (AUTHOR), Lawrence, David J7 (AUTHOR), Limpinsel, Douglas11 (AUTHOR), Magill, Robert T12 (AUTHOR), Melvin, Tracy A13 (AUTHOR), Morton, John M14 (AUTHOR), Newman, Robert A15 (AUTHOR), Peterson, Jay O16 (AUTHOR), Porath, Mark T17 (AUTHOR), Rahel, Frank J18 (AUTHOR), Schuurman, Gregor W7 (AUTHOR), Sethi, Suresh A19 (AUTHOR), Wilkening, Jennifer L20 (AUTHOR)
Předmět:
Zdroj: Frontiers in Ecology & the Environment. Oct2021, Vol. 19 Issue 8, p461-469. 9p.
Abstrakt: Ecosystem transformation involves the emergence of persistent ecological or social–ecological systems that diverge, dramatically and irreversibly, from prior ecosystem structure and function. Such transformations are occurring at increasing rates across the planet in response to changes in climate, land use, and other factors. Consequently, a dynamic view of ecosystem processes that accommodates rapid, irreversible change will be critical for effectively conserving fish, wildlife, and other natural resources, and maintaining ecosystem services. However, managing ecosystems toward states with novel structure and function is an inherently unpredictable and difficult task. Managers navigating ecosystem transformation can benefit from considering broader objectives, beyond a traditional focus on resisting ecosystem change, by also considering whether accepting inevitable change or directing it along some desirable pathway is more feasible (that is, practical and appropriate) under some circumstances (the RAD framework). By explicitly acknowledging transformation and implementing an iterative RAD approach, natural resource managers can be deliberate and strategic in addressing profound ecosystem change. [ABSTRACT FROM AUTHOR]
Databáze: GreenFILE