Abiotic and biotic factors influence the habitat use of an estuarine fish

Bacheler, Nathan M.; Paramore, Lee M.; Buckel, Jeffrey A.; Hightower, Joseph E.

doi:10.3354/meps07805

Cited by 41 publications

(47 citation statements)

References 63 publications

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“…The present range in residual deviance concurs with other studies: at similar spatial scales e i.e. several estuaries (Francis et al, 2011;Froeschke and Froeschke, 2011); and at other spatial scales e such as coastal areas (Florin et al, 2009;Maxwell et al, 2009;Lauria et al, 2011), individual estuaries (Stoner et al, 2001;Kupschus, 2003;Nicolas et al, 2007;Bacheler et al, 2009;Zucchetta et al, 2010) and preferred nursery grounds inside an estuary (Nicolas et al, 2007;Vinagre et al, 2009). On the one hand, there is intrinsic variability in density data (between tows within a sampling site) which accounts for some of this lack of fit.…”

Section: Models Goodness-of-fit and Driving Factors Of Juvenile Fish supporting

confidence: 91%

Predicting estuarine use patterns of juvenile fish with Generalized Linear Models

Vasconcelos

Pape

Costa

et al. 2013

Estuarine, Coastal and Shelf Science

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Section: Models Goodness-of-fit and Driving Factors Of Juvenile Fish supporting

confidence: 91%

Predicting estuarine use patterns of juvenile fish with Generalized Linear Models

Vasconcelos

Pape

Costa

et al. 2013

Estuarine, Coastal and Shelf Science

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“…GAMs use nonparametric smoothing functions to account for nonlinearities between predictor and response variables (Hastie and Tibshirani, 1990;Bacheler et al, 2009). GAMs extend traditional additive models by allowing for alternative distributions of underlying random variation, just as generalized linear models allow for alternative distributions in linear models.…”

Section: Data Analysesmentioning

confidence: 99%

Influence of soak time and fish accumulation on catches of reef fishes in a multispecies trap survey

Bacheler¹,

Bartolino²,

Reichert³

2013

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Abstract-Catch rates from fisheryindependent surveys often are assumed to vary in proportion to the actual abundance of a population, but this approach assumes that the catchability coefficient (q) is constant. When fish accumulate in a gear, the rate at which the gear catches fish can decline, and, as a result, catch asymptotes and q declines with longer fishing times. We used data from long-term trap surveys in the southeastern U.S. Atlantic to determine whether traps saturated for 8 reef fish species because of the amount of time traps soaked or the level of fish accumulation (the total number of individuals of all fish species caught in a trap). We used a deltageneralized-additive model to relate the catch of each species to a variety of predictor variables to determine how catch was influenced by soak time and fish accumulation after accounting for variability in catch due to the other predictor variables in the model. We found evidence of trap saturation for all 8 reef fish species examined. Traps became saturated for most species across the range of soak times examined, but trap saturation occurred for 3 fish species because of fish accumulation levels in the trap. Our results indicate that, to infer relative abundance levels from catch data, future studies should standardize catch or catch rates with nonlinear regression models that incorporate soak time, fish accumulation, and any other predictor variable that may ultimately influence catch. Determination of the exact mechanisms that cause trap saturation is a critical need for accurate stock assessment, and our results indicate that these mechanisms may vary considerably among species.

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“…Mueller et al 2009), and how habitat quality affects different age classes of species (e.g. Bacheler et al 2009). A greater multi-scale understanding of the controls of habitat quality is vital because the loss of suitable habitat is the great-est threat to the survival of species worldwide (Barbault & Sastrapradja 1995).…”

Section: Introductionmentioning

confidence: 99%

Biotic and multi-scale abiotic controls of habitat quality: their effect on coral-reef fishes

Harborne¹,

Mumby²,

Kennedy³

et al. 2011

Mar. Ecol. Prog. Ser.

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The influence of habitat quality on a species' demographics is critical for understanding its ecology and effective conservation. However, quantifying habitat quality is problematic because it may comprise of abiotic components at different spatial scales and also be influenced by biotic processes. This study investigated the relationship between reef-associated Caribbean fishes and habitat quality at 2 spatial scales: (1) multiple characteristics of Montastraea annularis coral colonies (<1 m 2 ) and (2) coral density in a 5 × 5 m plot around each microhabitat. Furthermore, the influence on habitat quality of 2 biotic factors (predation pressure and interactions between competitively superior territorial damselfishes and other species) was considered. A total of 102 M. annularis colonies within thirty 25 m 2 plots were surveyed on a Belizean forereef. Generalised linear mixed-effect models demonstrated that both damselfishes and other reefassociated species were correlated with colony-scale habitat quality (more abundant on taller, refuge-rich colonies). Adult reef-associated species were also correlated with larger-scale habitat quality, being more abundant on colonies with high densities of other Montastraea colonies within 25 m 2 (probably higher quality home ranges). However, the presence of damselfishes was associated with reduced abundances of other reef-associated species on M. annularis colonies, reflecting the importance of both biotic and abiotic controls of habitat quality. On reefs, coral mortality will reduce the density of optimal colonies and potentially increase the proportion occupied by damselfishes. This may lead to smaller populations of inferior competitors as they are increasingly displaced onto sub-optimal microhabitats. KEY WORDS:Anthropogenic stress · Community ecology · Ecosystem degradation · Fish behaviour · Fish recruitment 437: 201-214, 2011 202 est threat to the survival of species worldwide (Barbault & Sastrapradja 1995). Resale or republication not permitted without written consent of the publisherMar Ecol Prog SerCoral-reef fishes represent an excellent model system for investigating the controls of habitat quality. Reef fishes are diverse, relatively easy to census, and many species are closely associated with benthic communities that provide them with spatially variable resources at a range of scales. For example, coral growth and bioerosion creates small-scale crevices that are critical for most reef-associated fishes (Hixon & Beets 1993), and corals providing such refuges support higher abundances of fishes (Holbrook et al. 2002). These refuges provide foraging, spawning, and nesting sites (Robertson & Sheldon 1979), can help fishes maintain themselves in high-flow environments (Johansen et al. 2008), and sheltering in refuges reduces the high risk of predation on reefs (Hixon 1991). Loss of this scale of complexity, from stressors such as bleaching and hurricanes, has been demonstrated to have dramatic effects on reef-associated species (Jones & Syms 1998, Wil...

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Abiotic and biotic factors influence the habitat use of an estuarine fish

Cited by 41 publications

References 63 publications

Predicting estuarine use patterns of juvenile fish with Generalized Linear Models

Predicting estuarine use patterns of juvenile fish with Generalized Linear Models

Influence of soak time and fish accumulation on catches of reef fishes in a multispecies trap survey

Biotic and multi-scale abiotic controls of habitat quality: their effect on coral-reef fishes

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