Ressources

Integration of ecosystem science into radioecology: A consensus perspective

[ Results of a workshop which brought together over 50 scientists from the ecological and radiological fields
]


In the Fall of 2016 a workshop was held which brought together over 50 scientists from the ecological and radiological fields to discuss feasibility and challenges of reintegrating ecosystem science into radioecology.

ABSTRACT

In the Fall of 2016 a workshop was held which brought together over 50 scientists from the ecological and radiological fields to discuss feasibility and challenges of reintegrating ecosystem science into radioecology. There is a growing desire to incorporate attributes of ecosystem science into radiological risk assessment and radioecological research more generally, fueled by recent advances in quantification of emergent ecosystem attributes and the desire to accurately reflect impacts of radiological stressors upon ecosystem function.
This paper is a synthesis of the discussions and consensus of the workshop participant's responses to three primary questions, which were:
1) Howcan ecosystemscience support radiological risk assessment?
2)What ecosystem level end points potentially could be used for radiological risk assessment?
3)What inference strategies and associated methodswould be most appropriate to assess the effects of radionuclides on ecosystemstructure and function?
The consensus of the participants was that ecosystem science can and should support radiological risk assessment through the incorporation of quantitative metrics that reflect ecosystem functions which are sensitive to radiological contaminants. The participants also agreed that many such endpoints exit or are thought to exit and while many are used in ecological risk assessment currently, additional data need to be collected that link the causal mechanisms of radiological exposure to these endpoints. Finally, the participants agreed that radiological risk assessmentsmust be designed and informed by rigorous statistical frameworks capable of revealing the causal inference tying radiological exposure to the endpoints selected for measurement.
AUTHORS
Olin E. Rhodes Jr, Francois Bréchignac, Clare Bradshaw, Thomas G. Hinton, Carmel Mothersill, John A. Arnone, Doug P. Aubrey, Lawrence W. Barnthouse, James C. Beasley, Andrea Bonisoli-Alquati, Lindsay R. Boring, Albert L. Bryan, Krista A. Capps, Bernard Clément, Austin Coleman, Caitlin Condon, Fanny Coutelot, Timothy DeVol, Guha Dharmarajan, Dean Fletcher, Wes Flynn, Garth Gladfelder, Travis C. Glenn, Susan Hendricks, Ken Ishida, Tim Jannik, Larry Kapustka, Ulrik Kautsky, Robert Kennamer,Wendy Kuhne, Stacey Lance, Gennadiy Laptyev, Cara Love, Lisa Manglass, Nicole Martinez, Teresa Mathews, Arthur McKee, William McShea, Steve Mihok, Gary Mills, Ben Parrott, Brian Powell, Evgeny Pryakhin, Ann Rypstra, David Scott, John Seaman, Colin Seymour, Maryna Shkvyria, Amelia Ward, David White, Michael D. Wood, Jess K. Zimmerman
Professionals / Scientists