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Integration of ecosystem science into radioecology: A consensus perspective

Authors :
James C. Beasley
Cara N. Love
Garth Gladfelder
Nicole E. Martinez
Austin Coleman
Teresa J. Mathews
E. A. Pryakhin
Travis C. Glenn
Arthur McKee
Steve Mihok
David S. White
François Bréchignac
Amelia K. Ward
Gary L. Mills
Jess K. Zimmerman
Caitlin Condon
Olin E. Rhodes
Ben Parrott
Robert A. Kennamer
William J. McShea
Lawrence W. Barnthouse
Dean E. Fletcher
Bernard Clément
Maryna Shkvyria
Carmel Mothersill
David E. Scott
John A. Arnone
Susan P. Hendricks
Michael Wood
Timothy A. DeVol
Ulrik Kautsky
Stacey L. Lance
Doug P. Aubrey
Lindsay R. Boring
Krista A. Capps
Clare Bradshaw
Albert L. Bryan
Ken Ishida
Thomas G. Hinton
Lisa Manglass
Colin Seymour
Gennadiy Laptyev
Tim Jannik
John C. Seaman
Brian A. Powell
Wendy W. Kuhne
Wes Flynn
Fanny Coutelot
Larry Kapustka
Guha Dharmarajan
Andrea Bonisoli-Alquati
Ann L. Rypstra
Savannah River Ecology Laboratory (SREL)
University of Georgia [USA]
Södertörn University College
University College Cork (UCC)
Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS)
Géoressources et environnement
Institut Polytechnique de Bordeaux (Bordeaux INP)-Université Bordeaux Montaigne
McMaster Univ, Med Phys & Appl Radiat Sci Dept, Hamilton, ON, Canada
Source :
Science of the Total Environment, Science of the Total Environment, Elsevier, 2020, 740, pp.140031. ⟨10.1016/j.scitotenv.2020.140031⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; In the Fall of 2016 a workshop was held which brought together over 50 scientists from the ecological and radio- logical 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 at- tributes 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 sensi- tive 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 ra- diological risk assessments must be designed and informed by rigorous statistical frameworks capable of reveal- ing the causal inference tying radiological exposure to the endpoints selected for measurement.

Details

Language :
English
ISSN :
00489697 and 18791026
Database :
OpenAIRE
Journal :
Science of the Total Environment, Science of the Total Environment, Elsevier, 2020, 740, pp.140031. ⟨10.1016/j.scitotenv.2020.140031⟩
Accession number :
edsair.doi.dedup.....7e04cb0b50300625bcec56e3781acd8f