Advanced Technologies and Tools

The development and application of advanced technology and tools coupled with the development of standard practices and data integration efforts will allow the USGS to address landscape level research questions by studying biodiversity of aquatic communities.

Acoustic Telemtry

Which way did they go? Using acoustic telemetry to track fish movement throughout the Great Lakes

Acoustic telemetry is an advanced technology that allows researchers to track fish movement throughout a water body.

Related publication: Toward a national animal telemetry network for aquatic observations in the United States

Yellowstone Lake Telemetry

Through the use of acoustic telemetry researchers have been able to track lake trout implanted with transmitters in Yellowstone Lake.

PIT Tagging

Klamath River Basin PIT Tagging Database

A database application to facilitate the sharing and understanding of PIT tag data in the Klamath River Basin of Southern Oregon and Northern California.


Smart River GIS for Improved Decision Making

Smart River GIS allows simultaneous views of river hydraulics, species-specific habitat, and fish population simulations, for a better understanding of complex ecological interactions.

Development and Application of Mechanistic Models of Stream Fish Population Persistence

Our goal is to understand the mechanisms responsible for population dynamics in flowing waters and to provide managers with tools to evaluate alternative management scenarios, effects of habitat fragmentation, changes in stream flow, and likely effects of climate change on persistence of populations.

Broad spatial population models

These models will also provide the opportunity to place local dynamics in the context of broader population dynamics across space.

Evolutionary Ecology Software

During analysis of individual reproductive success of wild brook trout using molecular pedigree reconstruction, we have come across the need for certain types of software. Here we provide free access to seven software programs.

A hierarchical model of daily stream temperature using air-water temperature synchronization, autocorrelation, and time lags

We developed a statistical model that accounts for many challenges that can make stream temperature estimation difficult.

Robust estimates of environmental effects on population vital rates: an integrated capture–recapture model of seasonal brook trout growth, survival and movement in a stream network

We developed an integrated capture–recapture state-space model to estimate the effects of two key environmental drivers (stream flow and temperature) on demographic rates (body growth, movement and survival) using a long-term (11 years), high-resolution (individually tagged, sampled seasonally) data set of brook trout (Salvelinus fontinalis) from four sites in a stream network.

Modeling structured population dynamics using data from unmarked individuals

We extended recently developed N-mixture models to demonstrate how demographic parameters and abundance can be estimated for structured populations using only stage-structured count data.

Prey size and availability limits maximum size of rainbow trout in a large tailwater: insights from a drift-foraging bioenergetics model

We develop, assess, and apply a drift-foraging bioenergetics model to identify the factors limiting rainbow trout (Oncorhynchus mykiss) growth in a large tailwater.