Spawning migration movements of Mutton Snapper in Tortugas, Florida: Spatial dynamics within a marine reserve network

Feeley, Michael W.; Morley, Danielle; Acosta, Alejandro; Barbera, Paul; Hunt, John; Switzer, Ted; Burton, Michael L.

doi:10.1016/j.fishres.2018.02.020

Cited by 36 publications

(59 citation statements)

References 52 publications

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“…The 7.64 km 2 estimate from Farmer and Ault [33] included home range, spawning site, and the migration corridor between them; doing so in this study would increase MCP sizes from 0.126 to 18 km 2 (45334) and from 0.190 to 69.7 km 2 (45338). Feeley et al [34] excluded spawning sites from home range estimates, but still found a home range of a minimum of 1.97 km 2 , larger than any in this study. While array coverage in that study was sparse to cover a larger area than described here and may not be directly comparable, it may be that a different spatial con guration of habitat types in Florida may necessitate a larger home range to access a similar set of resources [63].…”

Section: Home Range Characteristicscontrasting

confidence: 71%

“…A long-term tracking study by Farmer and Ault [33] obtained location data from a single mutton snapper for 168 days and estimated its home range size at 7.64 km 2 , but this estimate included two long-distance presumed spawning migrations which were unrepresentative of routine movements. Another study by Feeley et al [34] identi ed home range areas, excluding observed spawning migrations, for 13 resident L. analis at a mean size of 2.5 km 2 . Both these studies had non-overlapping array coverage over a large area, which may in ate home range estimates.…”

Section: Introductionmentioning

confidence: 99%

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Home Range Characteristics and Diel Patterns in Space Use of Mutton Snapper, Lutjanus Analis, in St. Thomas, Us Virgin Islands

Heidmann

Jossart

Nemeth

2020

Preprint

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Background: The movement ecology of mutton snapper Lutjanus analis is poorly understood despite their ecological and economic importance in the Caribbean. Passive acoustic telemetry was used to determine home ranges of six adult L. analis, including diel patterns, in Brewers Bay, St. Thomas, US Virgin Islands. Understanding long-term space use, including site fidelity and habitat usage, is necessary to implement effective and appropriate management actions for a species with extensive space and resource needs.Results: Individual L. analis were tracked over an average period of 316 days (range 125 - 509 days) and showed high site fidelity to relatively small home ranges (mean ± SD: 0.103 ± 0.028 km2, range 0.019 - 0.190 km2) and core use areas with low overlap among individuals. Most home ranges had a habitat composition dominated by seagrass and to a lesser degree, coral reef and/or pavement. Nighttime activity spaces were distinct from but contained within daytime areas.Conclusions: Mutton snapper showed strong site fidelity to home ranges in Brewers Bay. Two individuals that were absent from the array for more than a few hours were detected at separate arrays at spawning aggregation sites. This study expands upon knowledge of mutton snapper home range characteristics, highlights the importance of maintaining adjacent high-quality habitat types in any spatial management plan, and encourages the adoption of other types of management strategies, particularly for transient-aggregating species.

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Section: Home Range Characteristicscontrasting

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Home Range Characteristics and Diel Patterns in Space Use of Mutton Snapper, Lutjanus Analis, in St. Thomas, Us Virgin Islands

Heidmann

Jossart

Nemeth

2020

Preprint

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“…The decrease in survival probability of boat-tagged sh could be due to several factors. As described in Feeley et al (2018) and Herbig et al (2019), all sh tagged on the boat were returned to the sea oor via divers after they recovered from anesthesia to ensure a safe return to the reef. Nevertheless, the tagged sh may still have suffered from barotrauma, increased stress from being caught by hook and line, or long-lasting effects of anesthesia.…”

Section: Discussionmentioning

confidence: 99%

“…Data collected from acoustically tagged sh can be used to investigate a wide variety of biological and ecological questions. For example, acoustic telemetry data have provided answers to broad ecological questions, such as revealing previously unknown migration patterns for certain species (Feeley et al 2018, Pratt et al 2018 and have also be used to answer more localized questions, such as patterns of habitat use in a speci c location (Herbig et al 2019, Keller et al in press). Although acoustic telemetry studies have been rapidly increasing in number over the past 20 years (Crossin et al 2017), there are far fewer studies that examine the in uence of tagging methodology on acoustic telemetry results (Dance et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Under Pressure: Comparing Fish Survivorship Between in Situ and Boat Tagging Methods Using Internal Acoustic Tags

Keller

Morley

Herbig

et al. 2020

Preprint

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Background: With the increase in telemetry studies over the past decade, improving understanding of how different tagging methods influence fish survivorship is critical. By examining the effects of tagging methods, we can maximize the information gained from telemetry studies. Mortality resulting from internally tagging fish on a boat may be due to barotrauma injuries, increased stress from prolonged handling times, or predation after fish have been released back into the water. Conducting in situ internal acoustic tagging at depth of capture completely removes barotrauma stresses and simplifies the release method, which may improve fish survival. In this study, we used 8 years of acoustic tagging data to determine if the tagging method (in situ versus on the boat) influenced fish survivorship and evaluated the role of other tagging variables.Results: At 6 days after tagging, Kaplan–Meier survival curves revealed that the survival probability of fish tagged on the boat was 66% while survival probability of fish tagged in situ was 90%. Tagging method was the only variable to significantly affect survival probability based on Cox proportional hazards models, with fish tagged in situ ~75% less likely to have an “event” (mortality, tag loss, or emigration) compared to fish tagged on the boat at both 4 and 6 days after tagging. Examining tagging methods separately, handling time only marginally influenced survival probability of boat-tagged fish and no variables had a significant effect on survival of in situ tagged fish. Conclusions: In this study, tagging method was the only variable to significantly affect survival of internally tagged fish. Implanting internal acoustic tags in situ is not a practical method for every species and for every environment, but given the increased fish survivorship demonstrated here, we strongly suggest it be considered as the preferred tagging methodology where applicable.

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“…The use of in-situ tagging greatly reduces the negative effects of barotrauma that result from rapid ascent (Starr et al 2000, Lindholm et al 2005. Additionally, previous work by the Florida Fish and Wildlife Conservation Commission (FWC) has shown that in-situ tagging minimizes the level of handling stress experienced by the fish (Feeley et al 2018). In-situ tagging also allows tagged fish to be released at the exact location of capture, minimizing changes in behavior associated with being released away from the original capture location.…”

Section: Fish Capture and Underwater Taggingmentioning

confidence: 99%

Diel Activity Patterns and Movement of Invasive Lionfish (Pterois volitans/P. miles) in the Florida Keys Identified Using Acoustic Telemetry

McCallister¹,

Renchen²,

Binder³

et al. 2018

GCR

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The invasion of Indo-Pacific lionfish (Pterois volitans/P. miles) throughout the Caribbean and southeastern U.S. Atlantic represents a significant ecological threat, yet few studies have examined the daily activity and movement patterns of this invasive species. In this study, passive acoustic telemetry was used to track lionfish at 4 coral reef sites in the Florida Keys. Fourteen lionfish were tagged among the 4 sites, and the total number of days tagged fish were detected ranged from 5 to 141 days. Hourly detection data revealed diel activity patterns with peaks at dawn and dusk. Mixed model analysis of detection data indicated a significant effect of time of day, with lionfish activity greater at twilight than during day or night. These results support observations from previous studies that lionfish are most active at dawn and dusk when they are foraging. The 95% kernel utilization distribution home range size ranged from 360-18,812 m 2. Lionfish movements were generally localized, with mean daily distance moved ranging from 24-116 m, although one lionfish had a maximum daily distance moved of 427 m. Short-term activity centers revealed possible diel shifts in micro-habitat use for 2 lionfish, as well as an emigration of one lionfish to an adjacent patch reef ~2 00 m away. These findings increase our understanding of lionfish behavior on coral reefs and highlight the need for more detailed studies examining fine-scale habitat use and movements across more habitat types. The results from this study will further contribute to the spatial information required to improve the effectiveness of monitoring and controlling lionfish populations in the Florida Keys.

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Spawning migration movements of Mutton Snapper in Tortugas, Florida: Spatial dynamics within a marine reserve network

Cited by 36 publications

References 52 publications

Home Range Characteristics and Diel Patterns in Space Use of Mutton Snapper, Lutjanus Analis, in St. Thomas, Us Virgin Islands

Home Range Characteristics and Diel Patterns in Space Use of Mutton Snapper, Lutjanus Analis, in St. Thomas, Us Virgin Islands

Under Pressure: Comparing Fish Survivorship Between in Situ and Boat Tagging Methods Using Internal Acoustic Tags

Diel Activity Patterns and Movement of Invasive Lionfish (Pterois volitans/P. miles) in the Florida Keys Identified Using Acoustic Telemetry

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