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Jennifer M Bayer

Jen Bayer serves as the Coordinator of the Pacific Northwest Aquatic Monitoring Partnership (PNAMP),  where she has facilitated collaboration and coordination across monitoring programs of state, federal, tribal, local, and private organizations in the Pacific Northwest. Jen began her USGS career as a fishery biologist at the Columbia River Research Laboratory.

Professional Experience

  • 2004 – present: Coordinator for the Pacific Northwest Aquatic Monitoring Partnership (PNAMP),  US Geological Survey 

  • 1996 – 2004 Fishery Biologist, US Geological Survey 

  • 1994-1996 Fishery Biologist, National Biological Service

Education and Certifications

  • Portland State University, M.S. Biology

  • Oregon State University, B.S. Fisheries Science

  • USDA Graduate School Executive Leadership Program 

  • Department of the Interior Partners in Conservation Award 2013

Affiliations and Memberships*

  • American Fisheries Society

  • Ecological Society of America

  • Society for Freshwater Science

Science and Products

Filter Total Items: 25

Sharing FAIR monitoring program data improves discoverability and reuse

Data resulting from environmental monitoring programs are valuable assets for natural resource managers, decision-makers, and researchers. These data are often collected to inform specific reporting needs or decisions with a specific timeframe. While program-oriented data and related publications are effective for meeting program goals, sharing well-documented data and metadata allows users to res
Authors
Jennifer M. Bayer, Rebecca A Scully, Erin K Dlabola, Jennifer L Courtwright, Christine L Hirsch, David P Hockman-Wert, Scott W. Miller, Brett B. Roper, W Carl Saunders, Marcia N Snyder
By
Ecosystems Mission Area, Forest and Rangeland Ecosystem Science Center

Identifying monitoring information needs that support the management of fish in large rivers

Management actions intended to benefit fish in large rivers can directly or indirectly affect multiple ecosystem components. Without consideration of the effects of management on non-target ecosystem components, unintended consequences may limit management efficacy. Monitoring can help clarify the effects of management actions, including on non-target ecosystem components, but only if data are col
Authors
Timothy Counihan, Kristen L. Bouska, Shannon K. Brewer, R. B. Jacobson, Andrew F. Casper, Colin G. Chapman, Ian R. Waite, Kenneth R. Sheehan, Mark Pyron, Elise R. Irwin, Karen Riva-Murray, Alexa McKerrow, Jennifer M. Bayer
By
Ecosystems Mission Area, Water Resources Mission Area, Cooperative Research Units, Species Management Research Program, New York Water Science Center, Oregon Water Science Center, Upper Midwest Water Science Center, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)

Citing aquatic monitoring data sets: Best practice recommendations for authoritative data citation

The use of data generated from long term monitoring efforts necessitates accurate authoritative source citations of those data to ensure credit for data collected, and accountability for the data quality to enable repeated retrieval of a given data set. Data sets used in published reports and articles are increasingly being considered objects that are required to be published and cited. Aggregatin
Authors
Sheryn J. Olson, Katie A Barnas, Margaret Williams, Christopher Wheaton, Michael Banach, Jennifer M. Bayer

Pacific Northwest Aquatic Monitoring Partnership 2018 Annual Report

The Pacific Northwest Aquatic Monitoring Partnership (PNAMP) continued to promote the integration of monitoring resources and development of tools to support monitoring in 2018. Improved coordination and integration of goals, objectives, and activities among Pacific Northwest monitoring programs is essential to improving the quality and consistency of monitoring in the region.
Authors
Megan M. Dethloff, Amy L. Puls, Rebecca A. Scully, Sheryn J. Olson, Jennifer M. Bayer, Samuel A. Cimino

MonitoringResources.org—Supporting coordinated and cost-effective natural resource monitoring across organizations

Natural resource managers who oversee the Nation’s resources require data to support informed decision-making at a variety of spatial and temporal scales that often cross typical jurisdictional boundaries such as states, agency regions, and watersheds. These data come from multiple agencies, programs, and sources, often with their own methods and standards for data collection and organization. Coo
Authors
Jennifer M. Bayer, Rebecca A. Scully, Jake Weltzin
By
Ecosystems Mission Area, Species Management Research Program

Pacific Northwest Aquatic Monitoring Partnership 2017 Annual Report

The Pacific Northwest Aquatic Monitoring Partnership (PNAMP) continued to promote the integration of monitoring resources and development of tools to support monitoring in 2017. Improved coordination and integration of goals, objectives, and activities among Pacific Northwest monitoring programs is essential to improving the quality and consistency of monitoring in the region.PNAMP operates throug
Authors
Amy L. Puls, Rebecca A. Scully, Megan M. Dethloff, Jennifer M. Bayer, Sheryn J. Olson, Samuel A. Cimino

Can data from disparate long-term fish monitoring programs be used to increase our understanding of regional and continental trends in large river assemblages?

Understanding trends in the diverse resources provided by large rivers will help balance tradeoffs among stakeholders and inform strategies to mitigate the effects of landscape scale stressors such as climate change and invasive species. Absent a cohesive coordinated effort to assess trends in important large river resources, a logical starting point is to assess our ability to draw inferences fro
Authors
Timothy D. Counihan, Ian R. Waite, Andrew F. Casper, David L. Ward, Jennifer S. Sauer, Elise R. Irwin, Colin G. Chapman, Brian Ickes, Craig P. Paukert, John J. Kosovich, Jennifer M. Bayer
By
Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, Cooperative Research Units, Science Analytics and Synthesis (SAS) Program, Species Management Research Program, Oregon Water Science Center, Southwest Biological Science Center, Upper Midwest Water Science Center, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)

Developing enterprise tools and capacities for large-scale natural resource monitoring: A visioning workshop

In October 2016, the U.S. Geological Survey (USGS), in collaboration with the Pacific Northwest Aquatic Monitoring Partnership (PNAMP, www.pnamp.org), convened a 30-person workshop, https://www.pnamp.org/event/5509, to identify and prioritize development of enterprise systems for programs that monitor the status and trends of species populations and their terrestrial, aquatic, and marine habitats.
Authors
Jennifer M. Bayer, Jake Weltzin, Rebecca A. Scully
By
Species Management Research Program

Defining opportunities for collaboration across data life cycles

Monitoring natural resources - water, forests, and animal populations—is required to support effective management of natural resources. However, because monitoring activities are often specific to a discipline, issue, or agency, it is typically difficult to integrate data to answer questions that transcend geopolitical and jurisdictional boundaries. How do we reach the better data integration we n
Authors
Jake F. Weltzin, Jennifer M. Bayer, Rebecca A. Scully
By
Species Management Research Program

Long-term fish monitoring in large rivers: Utility of “benchmarking” across basins

In business, benchmarking is a widely used practice of comparing your own business processes to those of other comparable companies and incorporating identified best practices to improve performance. Biologists and resource managers designing and conducting monitoring programs for fish in large river systems tend to focus on single river basins or segments of large rivers, missing opportunities to
Authors
David L. Ward, Andrew F. Casper, Timothy D. Counihan, Jennifer M. Bayer, Ian R. Waite, John J. Kosovich, Colin Chapman, Elise R. Irwin, Jennifer S. Sauer, Brian Ickes, Alexa McKerrow
By
Core Science Systems Mission Area, Ecosystems Mission Area, Science Synthesis, Analysis and Research Program, Gap Analysis Project, Science Analytics and Synthesis (SAS) Program, Species Management Research Program, Southwest Biological Science Center, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)

Annual sex steroid and other physiological profiles of Pacific lampreys (Entosphenus tridentatus)

We documented changes in plasma levels of estradiol 17-β (E2), progesterone (P), 15α-hydroxytestosterone (15α-T), thyroxine (T4), triiodothyronine (T3), protein, triglycerides (TGs), and glucose in adult Pacific lampreys (Entosphenus tridentatus) held in the laboratory in two different years. Levels of E2 in both sexes ranged from 0.5 to 2 ng/mL from September to March, peaked in late April (2–4 n
Authors
Matthew G. Mesa, Jennifer M. Bayer, Mara B. Bryan, Stacia A. Sower
By
Ecosystems Mission Area, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)

Olfactory sensitivity of Pacific Lampreys to lamprey bile acids

Pacific lampreys Lampetra tridentata are in decline throughout much of their historical range in the Columbia River basin. In support of restoration efforts, we tested whether larval and adult lamprey bile acids serve as migratory and spawning pheromones in adult Pacific lampreys, as they do in sea lampreys Petromyzon marinus. The olfactory sensitivity of adult Pacific lampreys to lamprey bile aci
Authors
T. Craig Robinson, Peter W. Sorensen, Jennifer M. Bayer, James G. Seelye
By
Ecosystems Mission Area, Western Fisheries Research Center, Columbia River Research Laboratory (CRRL)

Non-USGS Publications**

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

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USGS science for a changing world logo

Developing APIs to support enterprise level monitoring using existing tools

In this age of rapidly developing technology, scientific information is constantly being gathered across large spatial scales. Yet, our ability to coordinate large-scale monitoring efforts depends on development of tools that leverage and integrate multiple sources of data. North American bats are experiencing unparalleled population declines. The North American Bat Monitoring Program (NABat), a
By
Community for Data Integration (CDI)
link

Developing APIs to support enterprise level monitoring using existing tools

In this age of rapidly developing technology, scientific information is constantly being gathered across large spatial scales. Yet, our ability to coordinate large-scale monitoring efforts depends on development of tools that leverage and integrate multiple sources of data. North American bats are experiencing unparalleled population declines. The North American Bat Monitoring Program (NABat), a
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link
USGS science for a changing world logo

Facilitating Knowledge Integration with a Monitoring Protocol Registry

This project identified collected, and characterized existing online monitoring methods and protocol collection tools that USGS manages or is a substantial collaborator. It also identified the common elements between existing protocol libraries content and functionality. The project examined the results of the USGS Monitoring workshop in December 2011 that provided information about stakeholder ne
By
Community for Data Integration (CDI)
link

Facilitating Knowledge Integration with a Monitoring Protocol Registry

This project identified collected, and characterized existing online monitoring methods and protocol collection tools that USGS manages or is a substantial collaborator. It also identified the common elements between existing protocol libraries content and functionality. The project examined the results of the USGS Monitoring workshop in December 2011 that provided information about stakeholder ne
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Wadeable stream habitat data integrated from multiple monitoring programs for the US from 2000-2022

Wadeable stream habitat data from four long-term monitoring programs (AIM, AREMP, NRSA, PIBO MP) were obtained, pre-processed, transformed, and combined using R code following the Stream Habitat Metrics Integration (SHMI) Data Exchange Standard. The dataset includes 26 stream habitat metrics collected between 2000 and 2022 across the United States at ~12,000 locations from ~19,000 data collection
By
Forest and Rangeland Ecosystem Science Center
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Science and Products

*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government