Back to Search Start Over

Integration of ecosystem science into radioecology : A consensus perspective

Authors :
Rhodes, Olin E.
Brechignac, Francois
Bradshaw, Clare
Hinton, Thomas G.
Mothersill, Carmel
Arnone, John A.
Aubrey, Doug P.
Barnthouse, Lawrence W.
Beasley, James C.
Bonisoli-Alquati, Andrea
Boring, Lindsay R.
Bryan, Albert L.
Capps, Krista A.
Clement, Bernard
Coleman, Austin
Condon, Caitlin
Coutelot, Fanny
DeVol, Timothy
Dharmarajan, Guha
Fletcher, Dean
Flynn, Wes
Gladfelder, Garth
Glenn, Travis C.
Hendricks, Susan
Ishida, Ken
Jannik, Tim
Kapustka, Larry
Kautsky, Ulrik
Kennamer, Robert
Kuhne, Wendy
Lance, Stacey
Laptyev, Gennadiy
Love, Cara
Manglass, Lisa
Martinez, Nicole
Mathews, Teresa
McKee, Arthur
McShea, William
Mihok, Steve
Mills, Gary
Parrott, Ben
Powell, Brian
Pryakhin, Evgeny
Rypstra, Ann
Scott, David
Seaman, John
Seymour, Colin
Shkvyria, Maryna
Ward, Amelia
White, David
Wood, Michael D.
Zimmerman, Jess K.
Rhodes, Olin E.
Brechignac, Francois
Bradshaw, Clare
Hinton, Thomas G.
Mothersill, Carmel
Arnone, John A.
Aubrey, Doug P.
Barnthouse, Lawrence W.
Beasley, James C.
Bonisoli-Alquati, Andrea
Boring, Lindsay R.
Bryan, Albert L.
Capps, Krista A.
Clement, Bernard
Coleman, Austin
Condon, Caitlin
Coutelot, Fanny
DeVol, Timothy
Dharmarajan, Guha
Fletcher, Dean
Flynn, Wes
Gladfelder, Garth
Glenn, Travis C.
Hendricks, Susan
Ishida, Ken
Jannik, Tim
Kapustka, Larry
Kautsky, Ulrik
Kennamer, Robert
Kuhne, Wendy
Lance, Stacey
Laptyev, Gennadiy
Love, Cara
Manglass, Lisa
Martinez, Nicole
Mathews, Teresa
McKee, Arthur
McShea, William
Mihok, Steve
Mills, Gary
Parrott, Ben
Powell, Brian
Pryakhin, Evgeny
Rypstra, Ann
Scott, David
Seaman, John
Seymour, Colin
Shkvyria, Maryna
Ward, Amelia
White, David
Wood, Michael D.
Zimmerman, Jess K.
Publication Year :
2020

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1235049645
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.scitotenv.2020.140031