Benjamin H Letcher
Ben is a population ecologist focusing on stream habitats and science communication.
Biography
Education
- PhD, 1994, NC State, Zoology with statistics and modeling minor
- M.S. 1990, URI School of Oceanography, biological option
- B.S. 1985, Trinity College, Biology
Main research questions include:
Where are the fish?
- Distribution modeling
- Modeling climate refugia
What drives fish abundances?
- Long-term individual-based field studies
- State-space abundance modeling
- Integrated demographic models
How are the fish changing?
- Thermal adaptive capacity
- Estimating fitness in the wild
How are stream environments changing?
- Stream temperature statistical models
- Stream flow modeling using images
In addition, Ben is very interested in creating integrated, interactive, web-based systems to assist decision-making for natural resources. His group has created the Spatial Hydro-Ecological Decision System (‘SHEDS’ at ecosheds.org) which links databases, models and visualization tools.
- An extensive stream temperature database is at db.ecosheds.org.
- Stream temperature and Brook Trout occupancy models are at ecosheds.org
- The Interactive Catchment Explorer (‘ICE’) which facilitates exploration of complex environmental datasets and modeling results is at ice.ecosheds.org.
- Visualizations of individual tagging data from long-term studies are at pitdata.ecosheds.org.
- A stream visualization tool linking hydrographs to images is at fpe.ecosheds.org.
- A time series explorer is at tse.ecosheds.org.
Google scholar link: https://scholar.google.com/citations?user=fwgbROwAAAAJ&hl=en
Science and Products
Enabling AI for citizen science in fish biology
Artificial Intelligence (AI) is revolutionizing ecology and conservation by enabling species recognition from photos and videos. Our project evaluates the capacity to expand AI for individual fish recognition for population assessment. The success of this effort would facilitate fisheries analysis at an unprecedented scale by engaging anglers and citizen scientists in imagery collection. This...
Enabling AI for citizen science in fish ecology
Artificial Intelligence (AI) isrevolutionizing ecologyand conservation by enabling species recognition from photos and videos. Our project evaluates the capacity to expand AI for individual fish recognition for population assessment. The success of this effort would facilitate fisheries analysis at an unprecedented scale by engaging anglers and citizen scientists in imagery collection.This...
Understanding Brook Trout Persistence in Warming Streams
Cold-water adapted Brook Trout were historically widely distributed – ranging from northern Quebec to Georgia, and from the Atlantic Ocean to Manitoba in the north, and along the Appalachian ridge in the south. However, studies show that due to factors associated with climate change, such as increased stream temperature and changing water flow, the number of streams containing Brook Trout is...
A generic web application to visualize and understand movements of tagged animals
The goal of this project was to maximize the value of expensive animal tagging data. We developed an interactive web application to help scientists understand patterns in their own tagging datasets and to help scientists, funders and agencies communicate tagging data to decision-makers and to the general public. Interactive visualizations have emerged recently as a valuable tool for...
Climate change forecasts for eastern salmonids
Small streams in forests are likely to see dramatic shifts as global climate change influences air temperature and rain patterns. We have already seen warmer stream temperatures as air temperatures increase in summer in the Northeastern US. The intensity and duration of floods and droughts are also expected to magnify as future rain patterns shift. This project will evaluate how stream...
The West Brook Story
Natural systems, like rivers and streams, are remarkably complex, with many interacting parts. Data visualization tools make understanding and communicating complex ecological processes easier. Effective visualizations help users learn about patterns in data and how models work. Interactive visualizations are particularly useful, as they let users explore data and develop a personal...
Fish Ecology
Our goal is to identify the factors that govern population dynamics. Emphasis is on an integrative approach, combining field and laboratory studies to provide data for mathematical models of ecological and evolutionary dynamics. We focus on the fish that live in streams; how environmental variation, barriers to movement, and landscape characteristics influence changes in abundance over time...
Predicting Climate-Induced Expansions of Invasive Fish in the Pacific Northwest: Implications for Climate Adaptation of Native Salmon and Trout
The headwaters of the Columbia River Basin in the Northern Rocky Mountains region is widely recognized as a stronghold for native fish, containing some of the last remaining connected cold-water habitats for species such as the threatened bull trout and native westslope cutthroat trout. However, as temperatures rise, non-native invasive fish species could be poised to prosper in the region as...
Modeling species response to environmental change: development of integrated, scalable Bayesian models of population persistence
Estimating species response to environmental change is a key challenge for ecologists and a core mission of the USGS. Effective forecasting of species response requires models that are detailed enough to capture critical processes and at the same time general enough to allow broad application. This tradeoff is difficult to reconcile with most existing methods. We propose to extend and combine...
Ecosheds.org
LSC Conte Anadrmous Fish Laboratory is currently involved in https://ecosheds.org.