Integration of ecosystem science into radioecology: A consensus perspective

Autor: 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
Přispěvatelé: 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
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Science of the Total Environment
Science of the Total Environment, Elsevier, 2020, 740, pp.140031. ⟨10.1016/j.scitotenv.2020.140031⟩
ISSN: 0048-9697
1879-1026
Popis: 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.
Databáze: OpenAIRE
Externí odkaz: