Ecological
risks (ERs) of pollutants are typically assessed using
species sensitivity distributions (SSDs), based on effect concentrations
obtained from bioassays with unknown representativeness for field
conditions. Alternatively, monitoring data relating breeding success
in bird populations to egg concentrations may be used. In this study,
we developed a procedure to derive SSDs for birds based on field data
of egg concentrations and reproductive success. As an example, we
derived field-based SSDs for p,p′-DDE and polychlorinated biphenyls (PCBs) exposure to birds.
These SSDs were used to calculate ERs for these two chemicals in the
American Great Lakes and the Arctic. First, we obtained field data
of p,p′-DDE and PCBs egg
concentrations and reproductive success from the literature. Second,
these field data were used to fit exposure-response curves along the
upper boundary (right margin) of the response’s distribution
(95th quantile), also called quantile regression analysis. The upper
boundary is used to account for heterogeneity in reproductive success
induced by other external factors. Third, the species-specific EC10/50s obtained from the field-based exposure-response curves
were used to derive SSDs per chemical. Finally, the SSDs were combined
with specific exposure data for both compounds in the two areas to
calculate the ER. We found that the ERs of combined exposure to these
two chemicals were a factor of 5–35 higher in the Great Lakes
compared to Arctic regions. Uncertainty in the species-specific exposure-response
curves and related SSDs was mainly caused by the limited number of
field exposure-response data for bird species. With sufficient monitoring
data, our method can be used to quantify field-based ecological risks
for other chemicals, species groups, and regions of interest.