Integration of ecosystem science into radioecology: A consensus perspective

Olin E. Rhodes, 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 FletcherWes 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

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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) How can ecosystem science support radiological risk assessment? 2) What ecosystem level endpoints potentially could be used for radiological risk assessment? and 3) What inference strategies and associated methods would be most appropriate to assess the effects of radionuclides on ecosystem structure 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 assessments must be designed and informed by rigorous statistical frameworks capable of revealing the causal inference tying radiological exposure to the endpoints selected for measurement.

Original languageEnglish
Article number140031
JournalScience of the Total Environment
Volume740
DOIs
StatePublished - Oct 20 2020

Funding

The authors thank the employees of the Savannah River Ecology Laboratory who contributed their time and effort to organize, conduct, and assist with the workshop. Special thanks goes to the International Union of Radioecology and the Association of Ecosystem Research Centers for their financial and logistical support for planning and holding the workshop. The authors also acknowledge and thank Andrej Rusin who prepared the manuscript for final submission. Financial assistance also was provided by the Department of Energy Office of Environmental Management under award number DE-EM0004391 .

FundersFunder number
Department of Energy Office of Environmental ManagementDE-EM0004391

    Keywords

    • Ecosystem ecology
    • Ecosystem health
    • Ecotoxicology
    • Radioecology
    • Radionuclides
    • Risk assessment

    Fingerprint

    Dive into the research topics of 'Integration of ecosystem science into radioecology: A consensus perspective'. Together they form a unique fingerprint.

    Cite this