Estimation of short-term centers of activity from an array of omnidirectional hydrophones and its use in studying animal movements

Simpfendorfer, Colin A.; Heupel, Michelle R.; Hueter, Robert E.

doi:10.1139/f01-191

Cited by 346 publications

(272 citation statements)

References 10 publications

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“…Methods for finding centers of activity (COA) based on relative detections at different receivers (Simpfendorfer and Heupel 2002) have been increasingly popular for improving the positioning of coral reef animals with coded passive acoustic tags (Marshell et al 2012;Knip et al 2012). COA and other inferential methods based on linear decrease of DP with distance must be used with great care in coral reefs.…”

Section: Discussionmentioning

confidence: 99%

Topography and biological noise determine acoustic detectability on coral reefs

2013

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Acoustic telemetry is an increasingly common tool for studying the movement patterns, behaviour, and site fidelity of marine organisms, but to accurately interpret acoustic data, the variability, periodicity and range of detectability between acoustic tags and receivers must be understood. The relative and interactive effects of topography with biological and environmental noise have not been quantified on coral reefs. We conduct two long-term range tests (one and four months duration) on two different reef types in the central Red Sea, to determine the relative effect of distance, depth, topography, time of day, wind, lunar phase, sea surface temperature and thermocline on detection probability. Detectability, as expected, declines with increasing distance between tags and receivers, and we find average detection ranges of 530 and 120 m, using V16 and V13 tags respectively, but the topography of the reef can significantly modify this relationship, reducing the range by ~70%, even when tags and receivers are in line-of-sight. Analyses that assume a relationship between distance and detections must therefore be used with care. Nighttime detection range was consistently reduced in both locations and detections varied by lunar phase in the four month test, suggesting a strong influence of biological noise (reducing detection probability up to 30%), notably more influential than other environmental noises, including wind-driven noise, which is normally considered important in open-water environments. Analysis of detections should be corrected in consideration of the diel patterns we find, and range tests or sentinel tags should be used for more than one month to quantify potential changes due to lunar phase. Some studies assume that the most usual factor limiting detection range is weather-related noise; this cannot be extrapolated to coral reefs.

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Section: Discussionmentioning

confidence: 99%

Topography and biological noise determine acoustic detectability on coral reefs

2013

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“…Thus, estimation of the XY i po sitions for Fish i was based on the positions of the re ceivers that detected the fish during a specific time-step period and weighted by the number of de tec tions (Simpfendorfer et al 2002). Then, 2 measures of the home range (HR) were estimated for each fish: (1) the minimum convex polygon based on 100% of the obtained positions (100% MCP i ) and (2) the cumulative and daily HR (based on the diel phases) as the bivariate fixed-kernel utilisation distributions (95 and 50% KUD i ).…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the receiver array, based on a 300 × 300 m grid, provided a high degree of detection overlap between receivers (see Fig. 1), allowing improved centre of activity estimations (Simpfendorfer et al 2002). …”

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confidence: 99%

Diel behaviour and habitat utilisation by the pearly razorfish during the spawning season

Alós¹,

Cabanellas‐Reboredo²,

Lowerre‐Barbieri³

2012

Mar. Ecol. Prog. Ser.

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Despite its small size, the pearly razorfish Xyrichtys novacula (Linnaeus, 1758) supports important targeted recreational and commercial fisheries. Here, we present the first data on the movements of this species obtained using acoustic telemetry in a temperate marine protected area (MPA). The results demonstrate that acoustic telemetry is well suited for behavioural studies, even in species of small size. The results confirmed previous speculations regarding the behaviour of this species, demonstrating a clear diel pattern with maximum rates of activity during the day and fewer detections at night, when the fish bury themselves in the soft bottom. X. novacula exhibited a sedentary lifestyle with limited movement. The fish occurred in an accumulated averaged area of 0.32 ± 0.13 km 2 95% of the time (95% kernel utilisation distribution [KUD]) and in a core area (50% KUD) of 0.07 ± 0.02 km 2 . These small areas of habitat utilisation existed independent of sex and diel behaviour. No daily migration pattern or specific resting locations were detected. The linearity index (as a proxy of site fidelity) demonstrated that the movement of X. novacula was random within a specific home range area (sedentary behaviour) rather than directional (nomadic behaviour). The observed diel pattern of behaviour confirms that this species is not vulnerable to nighttime fishing, and the small spatial scale of habitat utilisation suggests that small MPAs can be an effective management tool. 460: 207-220, 2012 prey (Cardinale et al. 1997, Castriota et al. 2005a, occupying a mid-trophic level within the food web (Blanco et al. 2009, Box et al. 2010. KEY WORDS: Acoustic telemetry · Continuous wavelet transform · Control tag · Home range · MPA · Protogynous hermaphrodite · Xyrichtys novacula Resale or republication not permitted without written consent of the publisherMar Ecol Prog SerSome populations of this species have been subjected to overfishing, exhibiting clear decreases in abundance and their age and size distributions as well as the size at maturation, thereby decreasing the size at sex change and affecting reproductive output (Linde & Palmer 2008). In an effort to effectively manage this species, a number of management measures have been adopted, including seasonal closures, daily bag limits and minimum sizes of hooks (e.g. Morales-Nin et al. 2010).However, the usefulness of MPAs depends on the scale of fish movement in relation to the size of the MPA (Kramer & Chapman 1999). Thus, effective MPAs must include appropriate habitats and be sufficiently large to encompass the regular movements of adult fish (i.e. their home ranges). Then, the spillover of early life stages (eggs and larvae) and the movement of adults into areas outside the MPA can only be successful (in terms of sustainability) if a stable adult population is able to persist within the protected area (Kaplan et al. 2006).Unfortunately, most management measures continue to be based on the assumption that fish populations are spatially homogeneous (Botsfo...

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“…Activity centers: A position estimator employing weighted harmonic means was applied to the timespecific archived tag data from each fish, batched over 5 min and 120 min intervals. This modification of an approach by Simpfendorfer et al (2002) allowed for creation of a time series of short term 'activity centers', calculated as the means of multiple receiver locations weighted by the estimated distance of the tag from each receiver during the specified batch interval. Weighting terms were derived from a logistic regression model fit to measurements of tag detection rate at 66 sites spaced at 150 m intervals, and from 0 to 850 m from any given receiver in the array.…”

Section: Methodsmentioning

confidence: 99%

Grouper and snapper movements and habitat use in Dry Tortugas, Florida

Farmer¹,

Ault²

2011

Mar. Ecol. Prog. Ser.

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Home ranges, activity patterns, and habitat preferences in and around no-take marine reserves (NTMRs) were evaluated for 5 exploited snapper-grouper species in diverse coral reef habitats in the Dry Tortugas, Florida. Movements of ultrasonic tagged reef fish were determined using a calibrated array of omnidirectional hydroacoustic receivers. Average home range sizes were 2.09 ± 0.39 km 2 (n = 28; total length, TL = 45 to 66 cm) for red grouper Epinephelus morio, 4.17 ± 1.75 km 2 (n = 5, TL = 48 to 55 cm) for yellowtail snapper Ocyurus chrysurus, 1.44 ± 1.04 km 2 (n = 2, TL = 57 to 75 cm) for black grouper Mycteroperca bonaci, and 7.64 km 2 (n = 1, TL = 70 cm) for mutton snapper Lutjanus analis. Red grouper and yellowtail snapper moved moderate distances (from 700 to 900 m) with moderate frequency. Observed movements for black groupers were relatively small and infrequent. Mutton snappers appeared to make short, frequent movements. A tracked gray snapper L. griseus made long-distance nocturnal migrations. Several exploited-phase groupers and snappers crossed into and out of reserve boundaries. They were most likely to do so in locations where boundaries were positioned over contiguous coral reef and close to home-range centers. We found that home ranges for red grouper, black grouper, and yellowtail snapper were relatively small in comparison to NTMR area. Our observations suggest that the Dry Tortugas NTMRs may reduce exposure to exploitation for these and other species with limited home ranges, especially where NTMR boundaries do not overlie contiguous reef. KEY WORDS: Acoustic tracking · Snapper-grouper complex · Movement patterns · Home range · Marine reserves · Coral reef fishesResale or republication not permitted without written consent of the publisher reef habitats and helping to sustain the region's worldclass fisheries resources. Evidence has already emerged that they are reaching their intended goals (Ault et al. 2006b).Many marine fishes repeatedly use and move throughout particular areas, or home ranges (Burt 1943), for certain periods of the year or for particular life stages (Goeden 1978, Shapiro et al. 1994, Rooij et al. 1996, Zeller 1997, Kramer & Chapman 1999, Bell & Kramer 2000, Bolden 2001, Eristhee & Oxenford 2001, Baras et al. 2002, Lembo et al. 2002, Parsons et al. 2003. Occupation by marine fishes of a particular home range within a spatially heterogeneous landscape -given increased familiarity with key habitat features -may facilitate evasion of predators and increase foraging efficiency (review in Harris et al. 1990).Quantifying short-and longer-term fish movement patterns, home ranges, and habitat use is critical for advancing understanding of the dynamics of reef-fish community ecology and for informing intelligent NTMR design (Russ & Alcala 1996, Palumbi 2001, Meester et al. 2004, O'Dor et al. 2004. Unfortunately, data of this type are extremely limited (Kramer & Chapman 1999, Meyer et al. 2007. As a result, most reserves have been implemented with little quantitative desig...

show abstract

Estimation of short-term centers of activity from an array of omnidirectional hydrophones and its use in studying animal movements

Cited by 346 publications

References 10 publications

Topography and biological noise determine acoustic detectability on coral reefs

Topography and biological noise determine acoustic detectability on coral reefs

Diel behaviour and habitat utilisation by the pearly razorfish during the spawning season

Grouper and snapper movements and habitat use in Dry Tortugas, Florida

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