Suresh Andrew Sethi, PhD (Former Employee)
Science and Products
Filter Total Items: 36
A seascape-scale habitat model to support management of fishing impacts on benthic ecosystems
Minimizing fishing impacts on seafloor ecosystems is a growing focus of ocean management; however, few quantitative tools exist to guide seascape-scale habitat management. To meet these needs, we developed a model to assess benthic ecosystem impacts from fishing gear contact. The habitat impacts model is cast in discrete time and can accommodate overlapping fisheries as well as incorporate gear-sp
Authors
T. Scott Smeltz, Bradley Harris, John Olson, Suresh Sethi
Dynamic occupancy modeling of temperate marine fish in area-based closures
Species distribution models (SDMs) are commonly used to model the spatial structure of species in the marine environment, however, most fail to account for detectability of the target species. This can result in underestimates of occupancy, where nondetection is conflated with absence. The site occupancy model (SOM) overcomes this failure by treating occupancy as a latent variable of the model and
Authors
Jay Calvert, Chris McGonigle, Suresh Sethi, Bradley Harris, Rory Quinn, Jon Grabowski
Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA
A history of overexploitation and industrialization of riverine habitats has impacted the Shortnose Sturgeon Acipenser brevirostrum, leading this species to become one of the earliest listed under the U.S. Endangered Species Act. The present understanding of Shortnose Sturgeon spatial ecology is based on observations from a limited number of Atlantic coastal rivers. To better understand Shortnose
Authors
Richard M. Pendleton, Christopher R. Standley, Amanda L. Higgs, Gregg H. Kenney, Patrick J. Sullivan, Suresh Sethi, Bradley P. Harris
DNA mixtures for ecology
Mixtures of DNA from multiple contributors present a novel opportunity to count individuals to inform fish and wildlife ecology.We apply a likelihood-based framework to estimate the number of contributors to a DNA mixture for ecological applications. We then assess the performance of DNA mixture estimation through a combination of simulation analyses, laboratory testing, and a field trial to estim
Authors
Suresh Sethi, Wesley Larson, Keith Turnquist, Daniel A. Isermann
Capture versus tagging impacts on chum salmon freshwater spawning migration travel times
The spawning migration travel times of chum salmon, Oncorhynchus keta (Walbaum), fitted with gastrically implanted radio tags vs external spaghetti tags were tested for a short [≈60 river km (rkm)] and long migration route (≈730 rkm) on the Koyukuk River, Alaska, USA. Using a novel application of statistical arrival curve models to infer travel times for uncaptured fish, migrations by chum salmon
Authors
Suresh Sethi
Efficiently optimizing for dendritic connectivity on tree-structured networks in a multi-objective framework
We provide an exact and approximation algorithm based on Dynamic Programming and an approximation algorithm based on Mixed Integer Programming for optimizing for the so-called dendritic connectivity on tree-structured networks in a multi-objective setting. Dendritic connectivity describes the degree of connectedness of a network. We consider different variants of dendritic connectivity to capture
Authors
Quinru Shi, Jonathan M. Gomes-Selman, Roosevelt García-Villacorta, Suresh Sethi, Alexander S. Flecker, Carla P. Gomes
Efficiently approximating the Pareto frontier: Hydropower dam placement in the Amazon basin
Real–world problems are often not fully characterized by a single optimal solution, as they frequently involve multiple competing objectives; it is therefore important to identify the so-called Pareto frontier, which captures solution trade-offs. We propose a fully polynomial-time approximation scheme based on Dynamic Programming (DP) for computing a polynomially succinct curve that approximates t
Authors
Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garcia-Villacorta, Eliza Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes
High value of ecological information for river connectivity restoration
ContextEfficient restoration of longitudinal river connectivity relies on barrier mitigation prioritization tools that incorporate stream network spatial structure to maximize ecological benefits given limited resources. Typically, ecological benefits of barrier mitigation are measured using proxies such as the amount of accessible riverine habitat.ObjectivesWe developed an optimization approach f
Authors
Suresh Sethi, Jesse R. O'Hanley, Jonathon Gerken, Joshua Ashline, Catherine Bradley
Rapid response for invasive waterweeds at the arctic invasion front: Assessment of collateral impacts from herbicide treatments
The remoteness of subarctic and arctic ecosystems no longer protects against invasive species introductions. Rather, the mix of urban hubs surrounded by undeveloped expanses creates a ratchet process whereby anthropogenic activity is sufficient to introduce and spread invaders, but for which the costs of monitoring and managing remote ecosystems is prohibitive. Elodea spp. is the first aquatic inv
Authors
Suresh Sethi, Michael P. Carey, John M. Morton, Edgar Guerron-Orejuela, Robert Decino, Mark Willette, James Boersma, Jillian Jablonski, Cheryl Anderson
Accurate aging of juvenile salmonids using fork lengths
Juvenile salmon life history strategies, survival, and habitat interactions may vary by age cohort. However, aging individual juvenile fish using scale reading is time consuming and can be error prone. Fork length data are routinely measured while sampling juvenile salmonids. We explore the performance of aging juvenile fish based solely on fork length data, using finite Gaussian mixture models to
Authors
Suresh Sethi, Jonathon Gerken, Joshua Ashline
Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering
Error-tolerant likelihood-based match calling presents a promising technique to accurately identify recapture events in genetic mark–recapture studies by combining probabilities of latent genotypes and probabilities of observed genotypes, which may contain genotyping errors. Combined with clustering algorithms to group samples into sets of recaptures based upon pairwise match calls, these tools ca
Authors
Suresh Sethi, Daniel Linden, John Wenburg, Cara Lewis, Patrick R. Lemons, Angela K. Fuller, Matthew P. Hare
Estimating denning date of wolves with daily movement and GPS location fix failure
We used Global Positioning System (GPS) radiotelemetry data from 7 breeding female wolves (Canis lupus; n = 14 dennings) in 3 regions across Alaska, USA, during 2008–2011 to develop and compare methods for estimating the onset of denning, and thus infer timing of parturition. We developed and tested 2 estimators based on a combination of GPS radiocollar location-fix failure and distance traveled b
Authors
Patrick B. Walsh, Suresh Sethi, Bryce C. Lake, Buck A. Mangipane, Ryan Nielson, Stacey Lowe
Science and Products
Filter Total Items: 36
A seascape-scale habitat model to support management of fishing impacts on benthic ecosystems
Minimizing fishing impacts on seafloor ecosystems is a growing focus of ocean management; however, few quantitative tools exist to guide seascape-scale habitat management. To meet these needs, we developed a model to assess benthic ecosystem impacts from fishing gear contact. The habitat impacts model is cast in discrete time and can accommodate overlapping fisheries as well as incorporate gear-sp
Authors
T. Scott Smeltz, Bradley Harris, John Olson, Suresh Sethi
Dynamic occupancy modeling of temperate marine fish in area-based closures
Species distribution models (SDMs) are commonly used to model the spatial structure of species in the marine environment, however, most fail to account for detectability of the target species. This can result in underestimates of occupancy, where nondetection is conflated with absence. The site occupancy model (SOM) overcomes this failure by treating occupancy as a latent variable of the model and
Authors
Jay Calvert, Chris McGonigle, Suresh Sethi, Bradley Harris, Rory Quinn, Jon Grabowski
Acoustic telemetry and benthic habitat mapping inform the spatial ecology of Shortnose Sturgeon in the Hudson River, New York, USA
A history of overexploitation and industrialization of riverine habitats has impacted the Shortnose Sturgeon Acipenser brevirostrum, leading this species to become one of the earliest listed under the U.S. Endangered Species Act. The present understanding of Shortnose Sturgeon spatial ecology is based on observations from a limited number of Atlantic coastal rivers. To better understand Shortnose
Authors
Richard M. Pendleton, Christopher R. Standley, Amanda L. Higgs, Gregg H. Kenney, Patrick J. Sullivan, Suresh Sethi, Bradley P. Harris
DNA mixtures for ecology
Mixtures of DNA from multiple contributors present a novel opportunity to count individuals to inform fish and wildlife ecology.We apply a likelihood-based framework to estimate the number of contributors to a DNA mixture for ecological applications. We then assess the performance of DNA mixture estimation through a combination of simulation analyses, laboratory testing, and a field trial to estim
Authors
Suresh Sethi, Wesley Larson, Keith Turnquist, Daniel A. Isermann
Capture versus tagging impacts on chum salmon freshwater spawning migration travel times
The spawning migration travel times of chum salmon, Oncorhynchus keta (Walbaum), fitted with gastrically implanted radio tags vs external spaghetti tags were tested for a short [≈60 river km (rkm)] and long migration route (≈730 rkm) on the Koyukuk River, Alaska, USA. Using a novel application of statistical arrival curve models to infer travel times for uncaptured fish, migrations by chum salmon
Authors
Suresh Sethi
Efficiently optimizing for dendritic connectivity on tree-structured networks in a multi-objective framework
We provide an exact and approximation algorithm based on Dynamic Programming and an approximation algorithm based on Mixed Integer Programming for optimizing for the so-called dendritic connectivity on tree-structured networks in a multi-objective setting. Dendritic connectivity describes the degree of connectedness of a network. We consider different variants of dendritic connectivity to capture
Authors
Quinru Shi, Jonathan M. Gomes-Selman, Roosevelt García-Villacorta, Suresh Sethi, Alexander S. Flecker, Carla P. Gomes
Efficiently approximating the Pareto frontier: Hydropower dam placement in the Amazon basin
Real–world problems are often not fully characterized by a single optimal solution, as they frequently involve multiple competing objectives; it is therefore important to identify the so-called Pareto frontier, which captures solution trade-offs. We propose a fully polynomial-time approximation scheme based on Dynamic Programming (DP) for computing a polynomially succinct curve that approximates t
Authors
Xiaojian Wu, Jonathan Gomes-Selman, Qinru Shi, Yexiang Xue, Roosevelt Garcia-Villacorta, Eliza Anderson, Suresh Sethi, Scott Steinschneider, Alexander Flecker, Carla P. Gomes
High value of ecological information for river connectivity restoration
ContextEfficient restoration of longitudinal river connectivity relies on barrier mitigation prioritization tools that incorporate stream network spatial structure to maximize ecological benefits given limited resources. Typically, ecological benefits of barrier mitigation are measured using proxies such as the amount of accessible riverine habitat.ObjectivesWe developed an optimization approach f
Authors
Suresh Sethi, Jesse R. O'Hanley, Jonathon Gerken, Joshua Ashline, Catherine Bradley
Rapid response for invasive waterweeds at the arctic invasion front: Assessment of collateral impacts from herbicide treatments
The remoteness of subarctic and arctic ecosystems no longer protects against invasive species introductions. Rather, the mix of urban hubs surrounded by undeveloped expanses creates a ratchet process whereby anthropogenic activity is sufficient to introduce and spread invaders, but for which the costs of monitoring and managing remote ecosystems is prohibitive. Elodea spp. is the first aquatic inv
Authors
Suresh Sethi, Michael P. Carey, John M. Morton, Edgar Guerron-Orejuela, Robert Decino, Mark Willette, James Boersma, Jillian Jablonski, Cheryl Anderson
Accurate aging of juvenile salmonids using fork lengths
Juvenile salmon life history strategies, survival, and habitat interactions may vary by age cohort. However, aging individual juvenile fish using scale reading is time consuming and can be error prone. Fork length data are routinely measured while sampling juvenile salmonids. We explore the performance of aging juvenile fish based solely on fork length data, using finite Gaussian mixture models to
Authors
Suresh Sethi, Jonathon Gerken, Joshua Ashline
Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering
Error-tolerant likelihood-based match calling presents a promising technique to accurately identify recapture events in genetic mark–recapture studies by combining probabilities of latent genotypes and probabilities of observed genotypes, which may contain genotyping errors. Combined with clustering algorithms to group samples into sets of recaptures based upon pairwise match calls, these tools ca
Authors
Suresh Sethi, Daniel Linden, John Wenburg, Cara Lewis, Patrick R. Lemons, Angela K. Fuller, Matthew P. Hare
Estimating denning date of wolves with daily movement and GPS location fix failure
We used Global Positioning System (GPS) radiotelemetry data from 7 breeding female wolves (Canis lupus; n = 14 dennings) in 3 regions across Alaska, USA, during 2008–2011 to develop and compare methods for estimating the onset of denning, and thus infer timing of parturition. We developed and tested 2 estimators based on a combination of GPS radiocollar location-fix failure and distance traveled b
Authors
Patrick B. Walsh, Suresh Sethi, Bryce C. Lake, Buck A. Mangipane, Ryan Nielson, Stacey Lowe