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Featured researches published by Brian J. Smith.


PLOS ONE | 2015

Environmental DNA (eDNA) Sampling Improves Occurrence and Detection Estimates of Invasive Burmese Pythons

Margaret E. Hunter; Sara J. Oyler-McCance; Robert M. Dorazio; Jennifer A. Fike; Brian J. Smith; Charles T. Hunter; Robert N. Reed; Kristen M. Hart

Environmental DNA (eDNA) methods are used to detect DNA that is shed into the aquatic environment by cryptic or low density species. Applied in eDNA studies, occupancy models can be used to estimate occurrence and detection probabilities and thereby account for imperfect detection. However, occupancy terminology has been applied inconsistently in eDNA studies, and many have calculated occurrence probabilities while not considering the effects of imperfect detection. Low detection of invasive giant constrictors using visual surveys and traps has hampered the estimation of occupancy and detection estimates needed for population management in southern Florida, USA. Giant constrictor snakes pose a threat to native species and the ecological restoration of the Florida Everglades. To assist with detection, we developed species-specific eDNA assays using quantitative PCR (qPCR) for the Burmese python (Python molurus bivittatus), Northern African python (P. sebae), boa constrictor (Boa constrictor), and the green (Eunectes murinus) and yellow anaconda (E. notaeus). Burmese pythons, Northern African pythons, and boa constrictors are established and reproducing, while the green and yellow anaconda have the potential to become established. We validated the python and boa constrictor assays using laboratory trials and tested all species in 21 field locations distributed in eight southern Florida regions. Burmese python eDNA was detected in 37 of 63 field sampling events; however, the other species were not detected. Although eDNA was heterogeneously distributed in the environment, occupancy models were able to provide the first estimates of detection probabilities, which were greater than 91%. Burmese python eDNA was detected along the leading northern edge of the known population boundary. The development of informative detection tools and eDNA occupancy models can improve conservation efforts in southern Florida and support more extensive studies of invasive constrictors. Generic sampling design and terminology are proposed to standardize and clarify interpretations of eDNA-based occupancy models.


Biology Letters | 2014

Homing of invasive Burmese pythons in South Florida: evidence for map and compass senses in snakes

Shannon E. Pittman; Kristen M. Hart; Michael S. Cherkiss; Ray W. Snow; Ikuko Fujisaki; Brian J. Smith; Frank J. Mazzotti; Michael E. Dorcas

Navigational ability is a critical component of an animals spatial ecology and may influence the invasive potential of species. Burmese pythons (Python molurus bivittatus) are apex predators invasive to South Florida. We tracked the movements of 12 adult Burmese pythons in Everglades National Park, six of which were translocated 21–36 km from their capture locations. Translocated snakes oriented movement homeward relative to the capture location, and five of six snakes returned to within 5 km of the original capture location. Translocated snakes moved straighter and faster than control snakes and displayed movement path structure indicative of oriented movement. This study provides evidence that Burmese pythons have navigational map and compass senses and has implications for predictions of spatial spread and impacts as well as our understanding of reptile cognitive abilities.


Ecology and Evolution | 2016

Can you hear me now? Range-testing a submerged passive acoustic receiver array in a Caribbean coral reef habitat

Thomas H. Selby; Kristen M. Hart; Ikuko Fujisaki; Brian J. Smith; Clayton Pollock; Zandy Hillis-Starr; Ian Lundgren; Madan K. Oli

Abstract Submerged passive acoustic technology allows researchers to investigate spatial and temporal movement patterns of many marine and freshwater species. The technology uses receivers to detect and record acoustic transmissions emitted from tags attached to an individual. Acoustic signal strength naturally attenuates over distance, but numerous environmental variables also affect the probability a tag is detected. Knowledge of receiver range is crucial for designing acoustic arrays and analyzing telemetry data. Here, we present a method for testing a relatively large‐scale receiver array in a dynamic Caribbean coastal environment intended for long‐term monitoring of multiple species. The U.S. Geological Survey and several academic institutions in collaboration with resource management at Buck Island Reef National Monument (BIRNM), off the coast of St. Croix, recently deployed a 52 passive acoustic receiver array. We targeted 19 array‐representative receivers for range‐testing by submersing fixed delay interval range‐testing tags at various distance intervals in each cardinal direction from a receiver for a minimum of an hour. Using a generalized linear mixed model (GLMM), we estimated the probability of detection across the array and assessed the effect of water depth, habitat, wind, temperature, and time of day on the probability of detection. The predicted probability of detection across the entire array at 100 m distance from a receiver was 58.2% (95% CI: 44.0–73.0%) and dropped to 26.0% (95% CI: 11.4–39.3%) 200 m from a receiver indicating a somewhat constrained effective detection range. Detection probability varied across habitat classes with the greatest effective detection range occurring in homogenous sand substrate and the smallest in high rugosity reef. Predicted probability of detection across BIRNM highlights potential gaps in coverage using the current array as well as limitations of passive acoustic technology within a complex coral reef environment.


Ecological Economics | 2017

Expert Elicitation, Uncertainty, and the Value of Information in Controlling Invasive Species

Fred A. Johnson; Brian J. Smith; Mathieu Bonneau; Julien Martin; Christina M. Romagosa; Frank J. Mazzotti; J. Hardin Waddle; Robert N. Reed; Jennifer Kettevrlin Eckles; Laurie J. Vitt


Biological Invasions | 2016

Betrayal: radio-tagged Burmese pythons reveal locations of conspecifics in Everglades National Park

Brian J. Smith; Michael S. Cherkiss; Kristen M. Hart; Michael R. Rochford; Thomas H. Selby; Ray W. Snow; Frank J. Mazzotti


GEER 2017 | 2017

Optimal control of an invasive using reaction diffusion model and linear programming

Mathieu Bonneau; A Fred Johnson; Brian J. Smith; Christina M. Romagosa; Julien Martin; Frank Mazzotti


Ecosphere | 2017

Optimal control of an invasive species using a reaction‐diffusion model and linear programming

Mathieu Bonneau; Fred A. Johnson; Brian J. Smith; Christina M. Romagosa; Julien Martin; Frank J. Mazzotti


101 st ESA Annual Meeting Ecological Society of America | 2016

Decision analysis for optimal control of invasive species in the Everglades

Fred A. Johnson; Mathieu Bonneau; Julien Martin; Christina M. Romagosa; Paul L. Fackler; Brian J. Smith; Nahid Jafari; Brad J. Udell; Katie O'Donnell; Jed Redwine; Tony Pernas; Leroy Rodgers; Bo Zhang; Donald L. DeAngelis


IRCF Reptiles & Amphibians | 2015

Largest breeding aggregation of Burmese Pythons and implication for potential development of a control tool

Brian J. Smith; Michael R. Rochford; Matt Brien; Michael S. Cherkiss; Frank Mazzotti; Skip Snow; Kristen M. Hart


Reptiles & Amphibians | 2012

Record length, mass, and clutch size in the nonindigenous Burmese Python, Python bivittatus Kuhl 1820 (Squamata: Pythonidae), in Florida

Kenneth L. Krysko; Kristen M. Hart; Brian J. Smith; Thomas H. Selby; Michael S. Cherkiss; Nicholas T. Coutu; Rebecca M. Reichart; Leroy P. Nuñez; Frank J. Mazzotti; Ray W. Snow

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Kristen M. Hart

United States Geological Survey

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Julien Martin

Florida Fish and Wildlife Conservation Commission

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Michael S. Cherkiss

United States Geological Survey

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Fred A. Johnson

United States Geological Survey

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