Movement patterns of reef predators in a small isolated marine protected area with implications for resource management

Filous, Alexander; Friedlander, Alan M.; Wolfe, Barrett W.; Stamoulis, Kostantinos A.; Scherrer, Stephen R.; Wong, Adam; Stone, Kristy; Sparks, Russell T.

doi:10.1007/s00227-016-3043-3

Cited by 24 publications

(24 citation statements)

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“…Characterizing residency index values for movement studies has become a common method used to assess the number of days an animal was detected (i.e., was present) within the acoustic receiver arrays. Many studies, regardless of the study animal, select a minimum of two detections per day to consider an animal present or 'resident' (e.g., [30,[37][38][39]). However, a residency index does not translate into amount of potential protection gained since an animal detected twice within minutes but then not detected again for long periods, could easily be resident to another undetected and potentially unprotected location [6].…”

Section: Discussionmentioning

confidence: 99%

“…Successful spatial management draws on the availability of movement data [4] and is especially critical when little ecological research has been conducted on a presumably high trophic niche predator. A growing number of studies highlight the importance of marine predators in shaping the foundation of coral reef ecosystems [2,39,45]. Given the mobility of C. latus and general fidelity to the BIRNM array, this species may play an integral role in influencing community structure and function, but may also act as a conduit of nutrient and energy transfer outside of the study area.…”

Section: Discussionmentioning

confidence: 99%

“…Given the mobility of C. latus and general fidelity to the BIRNM array, this species may play an integral role in influencing community structure and function, but may also act as a conduit of nutrient and energy transfer outside of the study area. Spatial distributions of marine predators and wide-ranging species can generally provide information necessary to ensure long-term protection of all species when using no-take MPA management approaches [39]. Since C. latus are a common reef fish throughout the Caribbean and likely exhibit similar movement patterns to other Carangids, specifics of their movement ecology and establishing a baseline understanding of spatial dynamics can aid in MPA management decisions.…”

Section: Discussionmentioning

confidence: 99%

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Inferring residency and movement patterns of horse-eye jack Caranx latus in relation to a Caribbean marine protected area acoustic telemetry array

et al. 2020

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Background: Information regarding the movement ecology of horse-eye jack Caranx latus throughout the Caribbean is limited despite their prevalence. Passive acoustic telemetry was used to infer movement patterns of seven adult C. latus within Buck Island Reef National Monument (BIRNM), a no-take marine protected area (MPA) northeast of St. Croix, U.S. Virgin Islands. In addition, a preliminary exploration of detections recorded outside of BIRNM was used to gain knowledge of the potential for larger scale movements. Ascertaining long-term movement patterns, including residency, mobility, and identifying core activity spaces can play a considerable role in how MPAs, like BIRNM, are adapted to meet the needs of mobile species.Results: High residency index values were observed for individual C. latus within the BIRNM array (mean ± SE: 0.913 ± 0.04, range 0.75-1.0) across the 17 months monitored. Most fish were also detected on receivers located outside BIRNM. An observed to expected detection ratio revealed that despite high residency, only 9.6% of expected transmissions were detected based on the average tag transmission rate. Network analysis revealed high individual connectivity with many of the receivers inside BIRNM and a large number of core use receivers (mean: 10.7, range 6-14) within individual networks.Conclusions: Most C. latus were present in BIRNM at least twice per day, but were overall detected below the expected rates, demonstrating mobility, large core activity spaces and wide use of the acoustic array inside BIRNM and greater St. Croix shelf. How residency is inferred from acoustic telemetry detections, and interpreted for species with variable mobility, has important considerations for spatial management planning and telemetry analyses. For MPA development to meet the spatial requirements of species with mixed resident-mobile spatial ecology, detailed long-term movement data are required. Assessing residency in MPAs using acoustic telemetry should be formalized and carefully interpreted based on specific species, environmental conditions, and array configuration.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Inferring residency and movement patterns of horse-eye jack Caranx latus in relation to a Caribbean marine protected area acoustic telemetry array

et al. 2020

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“…The ability to more accurately estimate fine‐scale movements, particularly along the periphery of an acoustic array, is advantageous when monitoring animal movements within spatially‐discrete areas (e.g. marine protected areas; Filous et al., ) and for applications when horizontal movements are used to infer animal fate (Kneebone, Chisholm, Bernal, & Skomal, ).…”

Section: Discussionmentioning

confidence: 99%

A spatial point process model to estimate individual centres of activity from passive acoustic telemetry data

Winton¹,

Kneebone

Zemeckis

et al. 2018

Methods Ecol Evol

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Failure to account for time‐varying detection ranges when inferring space use of marine species from passive acoustic telemetry data can bias estimates and result in erroneous biological conclusions. This potential source of bias is widely acknowledged but often ignored in practice due to a lack of available statistical methods. Here, we describe and apply a spatial point process model for estimating individual centres of activity (COAs) from acoustic telemetry data that can be modified to account for both receiver‐ and time‐specific detection probabilities. We use simulation testing to evaluate the suitability of the proposed models for estimating COAs and compare their performance to that of the popular mean‐weighted COA method for a variety of scenarios. We illustrate how the approach can be applied to correct for variable detection ranges by integrating data from moored test tags and demonstrate how accounting for time‐varying detection probabilities can impact space use estimates by fitting the model to data collected from a black sea bass (Centropristis striata) on a receiver array off the east coast of the United States. The proposed model reduced bias in COA estimates, particularly when tagged individuals occurred along the periphery of the receiver array. The test tag‐integrated model largely corrected the bias associated with receiver‐ and time‐specific detection probabilities. When applied to the black sea bass detection data, the model revealed fine‐scale movements not apparent when detection ranges were assumed constant. Spatial management practices for coastal marine species are often based on trends in space use inferred from passive acoustic telemetry data, which can be misinterpreted when factors influencing detection ranges are not accounted for. Our approach provides a general framework for estimating individual COAs that can be modified on a study‐specific basis to ensure resulting patterns of space use reflect a species’ movements and behaviour, rather than variation in receiver detection ranges.

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“…Many species shift distribution as their needs transform along ontogenetic and seasonal axes, meaning that the potential for impacts changes over time (Afonso et al 2017;Filous et al 2017b). Optimum timing and location of marine activities therefore benefits from knowledge of hotspots that are revealed by animal tracking.…”

Section: Identifying Core Habitats and Hotspotsmentioning

confidence: 99%

Optimizing marine spatial plans with animal tracking data

Lennox

Engler-Palma

Kowarski

et al. 2019

Can. J. Fish. Aquat. Sci.

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Marine user–environment conflicts can have consequences for ecosystems that negatively affect humans. Strategies and tools are required to identify, predict, and mitigate the conflicts that arise between marine anthropogenic activities and wildlife. Estimating individual-, population-, and species-scale distributions of marine animals has historically been challenging, but electronic tagging and tracking technologies (i.e., biotelemetry and biologging) and analytical tools are emerging that can assist marine spatial planning (MSP) efforts by documenting animal interactions with marine infrastructure (e.g., tidal turbines, oil rigs), identifying critical habitat for animals (e.g., migratory corridors, foraging hotspots, reproductive or nursery zones), or delineating distributions for fisheries exploitation. MSP that excludes consideration of animals is suboptimal, and animal space-use estimates can contribute to efficient and responsible exploitation of marine resources that harmonize economic and ecological objectives of MSP. This review considers the application of animal tracking to MSP objectives, presents case studies of successful integration, and provides a look forward to the ways in which MSP will benefit from further integration of animal tracking data.

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Movement patterns of reef predators in a small isolated marine protected area with implications for resource management

Cited by 24 publications

References 58 publications

Inferring residency and movement patterns of horse-eye jack Caranx latus in relation to a Caribbean marine protected area acoustic telemetry array

Inferring residency and movement patterns of horse-eye jack Caranx latus in relation to a Caribbean marine protected area acoustic telemetry array

A spatial point process model to estimate individual centres of activity from passive acoustic telemetry data

Optimizing marine spatial plans with animal tracking data

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