The Ecology Section at the USGS Conte Laboratory has studied fish in the West Brook since 1997. The goal is to understand the strength and direction of drivers on fish growth, movement, reproduction and survival in the wild. We hope to provide a comprehensive understanding of fish population dynamics and ultimately individual fitness (natural selection and evolution) in the study area.

The Ecology Section at the USGS Conte Laboratory has studied fish in the West Brook since 1997. The goal is to understand the strength and direction of drivers on fish growth, movement, reproduction and survival in the wild. We hope to provide a comprehensive understanding of fish population dynamics for this stream network and ultimately individual fitness (natural selection and evolution) in the study area.

The Ecology Section at the USGS, EESC, S. O. Conte Research Laboratory studied brook trout in a small coastal stream (Stanley Brook) from 2006 - 2013. The goal was to understand the mechanisms and consequences of anadromoy, as well as strength and direction of drivers on fish growth, movement, reproduction and survival in the wild. We hope to provide a comprehensive understanding of fish population dynamics for this stream and life history form and ultimately individual fitness (natural selection and evolution) in the study area.

Brook trout is a species of conservation concern in the eastern US. In 2016, we evaluated brook trout movement patterns in response to food and cover treatments in an experimental stream system using RFID monitoring techniques at the USGS Leetown Science Center in Kearneysville, WV. Brook trout were tagged with 12mm HDX Passive Integrated Transponder (PIT) tags and monitored with Multi-Antenna HDX Readers within each experimental stream riffle. We collected associated data on stream temperature using HOBO temperature loggers (Onset Pro V2) and water quality parameters such as dissolved oxygen, conductivity and pH (YSI Professional Plus multiparameter instrument).

Brook trout is a species of conservation concern in the eastern US. In 2016, we evaluated brook trout movement patterns in response to food and cover treatments in an experimental stream system using RFID monitoring techniques at the USGS Leetown Science Center in Kearneysville, WV. Brook trout were tagged with 12mm HDX Passive Integrated Transponder (PIT) tags and monitored with Multi-Antenna HDX Readers within each experimental stream riffle. We collected associated data on stream temperature using HOBO temperature loggers (Onset Pro V2) and water quality parameters such as dissolved oxygen, conductivity and pH (YSI Professional Plus multiparameter instrument).

This dataset includes microsatellite genotypes for 8,454 brook trout from 188 wild Midwestern populations and 26 hatchery strains of both Midwest and eastern (Atlantic seaboard) origin. Each individual was genotyped at either 5 or 7 loci.

This dataset includes microsatellite genotypes for 8,454 brook trout from 188 wild Midwestern populations and 26 hatchery strains of both Midwest and eastern (Atlantic seaboard) origin. Each individual was genotyped at either 5 or 7 loci.

This dataset contains gene expression data for brook trout (Salvelinus fontinalis) collected from the Loyalsock Creek watershed in Pennsylvania. Gene expression was quantified for three genes of interest: elongation factor 1-alpha (EF1), SfontSerpinh1 (a heat shock protein gene), and SfontColdRNA (a gene associated with cold response). The dataset was generated to support investigations into both individual-level variation and inter-population differences in gene expression among brook trout inhabiting coldwater stream environments. Tissue samples were collected from multiple individuals across distinct sites within the watershed, and quantitative PCR (qPCR) was used to assess relative gene expression levels. These data can be used to explore patterns of transcriptomic plasticity and potential local adaptation in response to environmental variation across the Loyalsock Creek system.

Recapture data for trout in a stream. Format is appropriate for CJS modelling.

Recapture data for trout in a stream. Format is appropriate for CJS modelling.