Coastal and estuarine ecological risk assessment: the need for a more formal approach to stressor identification

  title={Coastal and estuarine ecological risk assessment: the need for a more formal approach to stressor identification},
  author={Michael C. Newman and Yuan Zhao and John F. Carriger},
Application of ecological risk assessment to coastal and estuarine systems is accelerating although it initially lagged behind applications to land and freshwaters. Broader spatial and temporal scales, and multiple stressor integration are appropriately being considered more frequently in all risk assessment activities. This expansion and integration is essential for coastal risk assessment. Because coastal assessments must deal with co-occurrence of several candidate stressors manifesting… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.
Showing 1-3 of 3 extracted citations

Review of the photo-induced toxicity of environmental contaminants.

Comparative biochemistry and physiology. Toxicology & pharmacology : CBP • 2017
View 2 Excerpts
Highly Influenced

Bayesian Networks for Modeling Dredging Decisions

Martin T Schultz, Thomas D. Borrowman, Mitchell Small
View 13 Excerpts
Highly Influenced

A guideline for ecological risk management procedures

Landscape and Ecological Engineering • 2005
View 2 Excerpts


Publications referenced by this paper.
Showing 1-10 of 44 references

Predictive assessment of fish health and fish kills in the Neuse River estuary using elicited expert judgment

M. E. Borsuk
Human and Ecological Assessment • 2004
View 6 Excerpts
Highly Influenced

Sediment quality thresholds: estimates from hockey stick regression of liver lesion prevalence in English sole (Pleuronectes vetulus)

B. H. Horness, D. P. Lomax, +3 authors T. K. Collier
Environmental Toxicology and Chemistry • 1998
View 5 Excerpts
Highly Influenced

Integrated approach to total maximum daily load development for Neuse River estuary using Bayesian probability network model (Neu-BERN)

M. E. Borsuk, C. A. Stow, K. H. Reckhow
Journal of Water Resources Planning and Management July/ • 2003
View 7 Excerpts
Highly Influenced

Inevitable Illusions

M. Piattelli-Palmarini
View 3 Excerpts
Highly Influenced

The Environment and Disease: Association or Causation?

Proceedings of the Royal Society of Medicine • 1965
View 4 Excerpts
Highly Influenced

A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis

M. E. Borsuk, C. A. Stow, K. H. Reckhow
Ecological Modeling • 2004
View 3 Excerpts

Similar Papers

Loading similar papers…