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San Francisco Bay Triennial Bird Egg Monitoring Program for Contaminants, California—2018

Data Series 1114
By: , , , and 
https://doi.org/10.3133/ds1114

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Abstract

The Regional Monitoring Program for Water Quality in San Francisco Bay (RMP), administered by the San Francisco Estuary Institute, is a large-scale effort to monitor contaminant trends in water, sediment, fish, and birds throughout San Francisco Bay (San Francisco Estuary Institute, 2016). As part of the RMP and the U.S. Geological Survey (USGS) long-term Wildlife Contaminants Program, the USGS samples doublecrested cormorant (Phalacrocorax auritus) and Forster’s tern (Sterna forsteri) eggs throughout the San Francisco Bay approximately every 3 years to assess temporal trends in contaminant concentrations. This sampling has previously been carried out by USGS in 2009, 2012, and 2016. This document summarizes egg collections for 2018, as well as mercury concentrations in Forster’s tern eggs on an individual egg basis. These data are available in a USGS data release (Ackerman and others, 2019).

Suggested Citation

Ackerman, J.T., Hartman, C.A., Herzog, M.P., and Toney, M., 2019, San Francisco Bay triennial bird egg monitoring program for contaminants, California—2018: U.S. Geological Survey Data Series 1114, 14 p., https://doi.org/10.3133/ds1114.

ISSN: 2327-638X (online)

Study Area

Table of Contents

  • Introduction
  • Egg Collection and Processing
  • Forster’s Tern Egg Total Mercury Concentrations
  • References Cited
  • Appendixes
Publication type Report
Publication Subtype USGS Numbered Series
Title San Francisco Bay triennial bird egg monitoring program for contaminants, California—2018
Series title Data Series
Series number 1114
DOI 10.3133/ds1114
Year Published 2019
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Western Ecological Research Center
Description Report: vi, 14 p.; Data Release
Country United States
State California
Other Geospatial San Francisco Bay
Online Only (Y/N) Y
Google Analytic Metrics Metrics page
Additional publication details