A review of biological patterns of the blue-red shrimp &lt;em&gt;Aristeus antennatus&lt;/em&gt; in the Mediterranean Sea: a case study of the population of Antalya Bay, eastern Mediterranean Sea

Deval, Mehmet Cengiz; Kapiris, Kostas

doi:10.3989/scimar.04411.22a

Cited by 13 publications

(14 citation statements)

References 28 publications

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“…We consider data on blue and red shrimp (Aristeus antennatus, Risso 1816) (Carbonell et al, 2017;Deval & Kapiris, 2016;Lleonart, 2005) We use a Bayesian smoothing spline Fahrmeir and Lang (2001) to model non-linear effects of depth, using a second-order random walk (RW2) latent model.…”

Section: Spatial Distribution Of Blue and Red Shrimp In The Westernmentioning

confidence: 99%

Accounting for preferential sampling in species distribution models

Pennino

Paradinas

Illian

et al. 2018

Ecology and Evolution

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Species distribution models (SDMs) are now being widely used in ecology for management and conservation purposes across terrestrial, freshwater, and marine realms. The increasing interest in SDMs has drawn the attention of ecologists to spatial models and, in particular, to geostatistical models, which are used to associate observations of species occurrence or abundance with environmental covariates in a finite number of locations in order to predict where (and how much of) a species is likely to be present in unsampled locations. Standard geostatistical methodology assumes that the choice of sampling locations is independent of the values of the variable of interest. However, in natural environments, due to practical limitations related to time and financial constraints, this theoretical assumption is often violated. In fact, data commonly derive from opportunistic sampling (e.g., whale or bird watching), in which observers tend to look for a specific species in areas where they expect to find it. These are examples of what is referred to as preferential sampling, which can lead to biased predictions of the distribution of the species. The aim of this study is to discuss a SDM that addresses this problem and that it is more computationally efficient than existing MCMC methods. From a statistical point of view, we interpret the data as a marked point pattern, where the sampling locations form a point pattern and the measurements taken in those locations (i.e., species abundance or occurrence) are the associated marks. Inference and prediction of species distribution is performed using a Bayesian approach, and integrated nested Laplace approximation (INLA) methodology and software are used for model fitting to minimize the computational burden. We show that abundance is highly overestimated at low abundance locations when preferential sampling effects not accounted for, in both a simulated example and a practical application using fishery data. This highlights that ecologists should be aware of the potential bias resulting from preferential sampling and account for it in a model when a survey is based on non‐randomized and/or non‐systematic sampling.

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Section: Spatial Distribution Of Blue and Red Shrimp In The Westernmentioning

confidence: 99%

Accounting for preferential sampling in species distribution models

Pennino

Paradinas

Illian

et al. 2018

Ecology and Evolution

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“…This pattern was observed also in the western (Cartes & Sardà, 1992;Cartes, 1993) and central Mediterranean (Politou, Maiorano, D'Onghia, & Mytilineou, 2005). The highest abundance in the middle slope was mainly due to the species A. foliacea, which consist a target fishery trawlable species in the study area (Deval et al, 2009;Deval & Kapiris, 2016). Taking into consideration the relatively stable environmental conditions in these depths and the high oligotrophy of the area (Stergiou, Christou Georgopoulos, Zenetos, & Souvermezoglou, 1997), the main factor determining this reduction with depth could be the low trophic resource availability.…”

Section: Discussionmentioning

confidence: 96%

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Balev¹,

Vlahova-Vangelova²,

Dragoeva³

et al. 2017

Turk. J. Fish. Aquat. Sci.

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The spatio-temporal distributions of decapod crustaceans caught by trawlers over the 200 m at 87 hauls on the bathyal ground in the gulf of Antalya (eastern Mediterranean) were investigated. Samples were collected during the monthly surveys from July 2010 to June 2011, and sampling area was divided in eight bathymetric strata (200-900 m: 100 m interval). Hypotheses about relationships of assemblages to depth stratum and consecutive four seasons were tested. Univariate (one-and two-way ANOVA) and multivariate analysis (BrayCurtis, nMDS, PERMANOVA and PERMIDS tests) showed differences in crustacean assemblages (abundance, biomass and species richness) according to depth stratum. No significant differences related to the consecutive seasons were detected. Analysis of the trawl catches shows two decapod assemblages: one on the upper slope (shallower than 500 m) characterized by Parapenaeus longirostris and Plesionika heterocarpus and another on the middle slope (500-900 m) with Aristaeomorpha foliacea, Aristeus antennatus and Plesionika martia.

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“…Aristaeomorpha foliacea samples were collected throughout three bottom trawl surveys in the Antalya Bay; i) DEEP; conducted between October 2009 and June 2010 at depths of 400-560 m, ii) STRATUM; covers eight bathymetric strata between 200 and 900 m and carried out from July 2010 to June 2011, and iii) REPR; carried out in summer 2012, as previously described by Deval & Kapiris (2016), Deval, Yılmaz & Kapiris (2017), Deval, Kebapçıoğlu, Güven & Olguner (2018).…”

Section: Methodsmentioning

confidence: 99%

“…Uni-and multi variate analysis on the spatiotemporal distributions of the density, biomass, reproduction pattern, age and growth parameters, mortality and the exploitation status of A. foliacea were carried out in concordance to the methodologies described by Deval & Kapiris (2016) and methods of the selectivity, nursery and spawning area mapping as described by Deval et al (2018).…”

Section: Methodsmentioning

confidence: 99%

“…Recent scientific surveys on the trawling grounds of the continental slope (between 200 and 900 m) of the Antalya Bay, yielded very detailed information on the deep-sea commercial crustacean species in the Turkish coast of the Mediterranean Sea. Population dynamics of both the deep-water rose shrimp (Parapenaeus longirostris) and the blue-red shrimp (A. antennatus) have been already reported (Deval & Kapiris, 2016;Deval, Kaya & Olguner, 2019, article in progress). Herein, the population dynamic and pattern of the giant red shrimp A. foliacea is reported as the third paper of the series on commercial crustaceans in the area.…”

Section: Introductionmentioning

confidence: 92%

See 1 more Smart Citation

Population Dynamics and Biological Patterns of Commercial Crustacean Species in the Antalya Bay, Eastern Mediterranean Sea: III. The Giant Red Shrimp Aristaeomorpha foliacea Risso, 1827

Deval¹

2020

Turk. J. Fish. Aquat. Sci.

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Current study focuses on the population dynamic and pattern of the giant red shrimp A. foliacea as the third part of series on commercial crustaceans in the study area. Uniand multi variate analysis on the spatio-temporal distributions of the density, biomass, reproduction pattern, age and growth parameters, mortality and the exploitation status of the stock of the species distributed in the area were evaluated. The highest average value of BI (79.9 kg km-2) and DTOT (5105 n km-2), were estimated from the 500 m stratum. Mature individuals distributed in deeper than 400 m, and the recruits were available between 400-699 m depth. The gonadosomatic index of A. foliacea females showed a sharp increase between May and August, and the first maturation size (FMS) was estimated ≈ 39 mm (1.8 age). Examining the general pattern of the frequency distributions revealed maximum 3-year modes for males while females displayed 5year modes. Since current level of fishing mortality (Fcur=0.848 year-1) is higher than reference point (F0.1=0.540 year −1) and too close to Fmax (=0.960 year-1), the stock of A. foliacea females had a potential for the growth overfishing.

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A review of biological patterns of the blue-red shrimp <em>Aristeus antennatus</em> in the Mediterranean Sea: a case study of the population of Antalya Bay, eastern Mediterranean Sea

Cited by 13 publications

References 28 publications

Accounting for preferential sampling in species distribution models

Accounting for preferential sampling in species distribution models

Untitled

Population Dynamics and Biological Patterns of Commercial Crustacean Species in the Antalya Bay, Eastern Mediterranean Sea: III. The Giant Red Shrimp Aristaeomorpha foliacea Risso, 1827

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