OpportunityTitle: Developing Predictive Approaches to Identify Mixtures of Contaminants of Emerging Concern Adversely Impacting Great Lakes Tributaries
AdditionalInformationOnEligibility: There is not an application process for this funding opportunity. This is a notice of intent to award a single source grant to St. Cloud State University under justification 505DM 2.14B (2) and (4).
Description: The rich matrix of chemical and biological data developed during the first five years of the US Fish &amp; Wildlife Service&apos;s contribution to the Great Lakes Restoration Initiative offers a unique opportunity to develop predictive models for (i) identified CEC chemicals and mixtures of greatest concern in Great Lakes tributaries, and (ii) to couple predictive pollution models with fish population models to identify stream reaches of concern. The ultimate goal of this research framework is, therefore, to identify CECs of greatest concern and their mixtures that may pose a risk to fish population health due to their presence and concentrations in Great Lakes tributaries. In order to reach this goal, multiple objectives need to be accomplished. There is not an application process for this funding opportunity. This is a notice of intent to award a single source cooperative agreement to St. Cloud State University (SCSU) Aquatic Toxicology Laboratory under justification 505DM 2.14.B. (2) and (4). This project is a continuation of the activities presently being conducted in cooperation with SCSU. Therefore, SCSU is uniquely qualified to continue/complete the activities and it is necessary to have continuity for the satisfactory completion of the project.
GrantorContactEmailDescription: annette_trowbridge@fws.gov
GrantorContactText: Annette Trowbridge, 612-713-5104&lt;br/&gt;annette_trowbridge@fws.gov&lt;br/&gt;
CloseDateExplanation: There is not an application process for this funding opportunity. This is a notice of intent to award a single source grant to St. Cloud State University under justification 505DM 2.14B (2) and (4).