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FIG. 2. — A in Greek khrόmis between sound and smell. Anthropozoology of a fish

FIG. 2. — A, Round-based zither (kithára). Detail from a red-figure vase painting, about 430 BCE – cf. Lexicon Iconographicum Mythologiae Classicae, Apollon 691a (Image by the author); B, Wide-eyed flounder, Bothus podas (Delaroche, 1809), a fish called kítharos by the ancient Greeks for its similarity to a roundbased kithára. Cf. Guasparri 2005: 216 (Image courtesy of Laguna Project).

FIG. 1 in Greek khrόmis between sound and smell. Anthropozoology of a fish

FIG. 1 — Definiens and definiendum: a human finger compared to Solen marginatus Pulteney, 1799, one among other mollusks called dáktulos (lit. 'finger'), or όnux (lit. 'nail') in Ancient Greek – e.g., Thompson 1947: 184 (Image by the author).

FIG. 6. — A in Greek khrόmis between sound and smell. Anthropozoology of a fish

FIG. 6. — A Mediterranean damselfish (Chromis chromis (Linnaeus, 1758)) in its natural environment (Image A. Kok, wikimedia.org;

opencc-by-4.0Dec 2020View details →

Latitudinal core habitat prediction data for the manuscript: "Seascape topography slows predicted range shifts in fish under climate change"

Latitudinal locations of core environmental habitat for yellowtail kingfish (Seriola lalandi), Australian bonito (Sarda australis), Australian spotted mackerel (Scomberomorus munroi), narrow-barred Spanish mackerel (Scomberomorus commerson) and common dolphinfish (Coryphaena hippurus) nearshore of the continental shelf break (i.e. 200-m isobath) within 145 – 160°E, 15 – 45°S and between years 1998 – 2018.

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Data from: Maximum cardiac performance of Antarctic fishes that lack haemoglobin and myoglobin: exploring the effect of warming on nature's natural knockouts

Comparisons among related species provide valuable insight into the functional consequences of natural genetic mutations. We assessed cardiac function at ambient and elevated temperatures in Antarctic notothenioids with contrasting levels of the oxygen binding proteins, haemoglobin (Hb) and myoglobin (Mb), to elucidate changes in cardiac performance that may compensate for impaired O2 transport. Notothenia coriiceps (Hb+Mb+) at 1oC had the highest maximum cardiac work rate (WC) and pressure generating capacity, but lowest relative ventricular mass and maximum cardiac output (Q̇) when compared with two icefish species, Chionodraco rastrospinosus (Hb-Mb+) and Chaenocephalus aceratus (Hb-Mb-). Cardiomegaly associated with absence of Hb generated an exceptionally large maximum stroke volume (VS) and Q̇, but a lower WC. However, C. rastrospinosus had a larger ventricle, a higher intrinsic heart rate (fH), and greater maximum VS and Q̇ than C. aceratus, suggesting that cardiac Mb has functional relevance. Warming to 4oC increased fH, but only increased maximum Q̇ in icefishes, while maximum WC and pressure development increased in N. coriiceps (both ~2.5x that of C. aceratus). The Hb+Mb+ myocardium generated considerable Q̇ against raised afterload, unlike icefish hearts. The presence of Hb and Mb enhances cardiac performance, and likely resilience to near-future ocean warming.

opencc-zeroDec 2020View details →

Fig. 3 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 3. Mean of flight initiation distances for the three labrid species studied in MUAs (Multiple-use areas) and NTAs (No-take areas) in Abrolhos. The upper limits of lines indicate standard deviation; *symbols indicate significant differences according to ANCOVA; **(p <0.001).

Fig. 4 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 4. Relationship between flight initiation distances (FID), group size and body size (continuous covariates) inside NTAs and MUAs (categorical factor). Black dots represent samples from no-take areas (NTAs); white dots represent samples from multiple-use areas (MUAs). The continuous line represents the best fit for MUAs data and the dotted line that for NTAs data.

Fig. 1 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 1. Map of study area showing sampled sites (MUAs: Multiple-use areas; NTAs: No-take areas) in the Abrolhos bank.

Fig. 5 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 5. Average group size (a) and body size (b) estimated for the three labrids studied in both no-takes (NTAs) and multiple-use areas (MUAs) sampled in the Abrolhos Bank. The upper limits of lines indicate standard error.

opencc-by-4.0Jun 2016View details →

Fig. 2 in Fish functional groups in a tropical wetland of the Yucatan Peninsula, Mexico

Fig. 2. Cluster analyses of the functional traits data. Dendrograms show groups for food acquisition (A, B, C, and D) and locomotion (E, F, G, and H). Species identities (IDs) correspond to the first letter of the genus and species names.

opencc-by-4.0Jun 2016View details →

Fig. 2 in Cytogenetic analysis of Baryancistrus xanthellus (Siluriformes: Loricariidae: Ancistrini), an ornamental fish endemic to the Xingu River, Brazil

Fig. 2. Karyotype of Baryancistrus xanthellus in conventional staining. The square indicates the pair that bears the nucleolus organizer region (NOR).

opencc-by-4.0Jun 2016View details →

Fig. 3 in Cytogenetic analysis of Baryancistrus xanthellus (Siluriformes: Loricariidae: Ancistrini), an ornamental fish endemic to the Xingu River, Brazil

Fig. 3. Karyotype of Baryancistrus xanthellus: a) C-banding; b) Mapping of rDNA 18S (red signal) and 5S (green signal) through double FISH.

Fig. 4 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)

Fig. 4. Percentage of correct matches (a) and expended minutes (b) between naked-eye and computer-assisted field test photo-identification for individual recognition of Rineloricaria aequalicuspis (n = 9). Boxplots show median (central thicker line), first and third quartile (box limits), 95% confidence interval of median (whiskers), and outliers.

Fig. 3 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)

Fig. 3. Variation in number, shape, size and organization of the bony plates covering the abdominal surface of six different Rineloricaria aequalicuspis individuals with more than 10 cm total length. These are examples of photographs taken during the field test. (a) 175 mm TL; (b) 138 mm TL; (c) 156 mm TL; (d) 145 mm TL; (e) 141 mm TL; (f) 151 mm TL.

Fig. 2 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)

Fig. 2. Diagram showing the steps employed to assess the performance of photo-identification technique in laboratory (a) and field (b) conditions for Rineloricaria aequalicuspis.

Fig. 1 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)

Fig. 1. Lateral, dorsal and ventral views of a Rineloricaria aequalicuspis individual (110 mm TL). Ventral view shows the arrangement of the abdominal plates. Photograph courtesy of L. R. Malabarba.

opencc-by-4.0Apr 2011View details →

Figure 1 in Systematic status of Systomus rubrotinctus Jerdon (Teleostei: Cyprinidae) with notes on the Puntius arulius group of fishes

Figure 1. Descriptive map of southern peninsular India, showing the various locations from which P. arulius group of fishes were examined in this present study: A - KIOCL plant, Bhadra River; B - Khabini river; C - Bhavali River; D - Mavanahalla, Moyar River; E - Varkhala, Kallada River; F - Kodaimel Azhakian Anicut, Tambraparani River; G - Cheremadevi, Tambraparani River; H - Tirunelveli Town, Tambraparani River. (Map not to scale)

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Marine fish traits follow fast-slow continuum across oceans

A fundamental challenge in ecology is to understand why species are found where they are and predict where they are likely to occur in the future. Trait-based approaches may provide such understanding, because it is the traits and adaptations of species that determine which environments they can inhabit. It is therefore important to identify key traits that determine species distributions and investigate how these traits relate to the environment. Based on scientific bottom-trawl surveys of marine fish abundances and traits of >1,200 species, we investigate trait-environment relationships and project the trait composition of marine fish communities across the continental shelf seas of the Northern hemisphere. We show that traits related to growth, maturation and lifespan respond most strongly to the environment. This is reflected by a pronounced "fast-slow continuum" of fish life-histories, revealing that traits vary with temperature at large spatial scales, but also with depth and seasonality at more local scales. Our findings provide insight into the structure of marine fish communities and suggest that global warming will favour an expansion of fast-living species. Knowledge of the global and local drivers of trait distributions can thus be used to predict future responses of fish communities to environmental change.

opencc-zeroNov 2019View details →

opencc-by-nc-sa-4.0Oct 2015View details →

Observations of Mediterranean horse mackerel fish species in the bay of Almería, Spain

# Companion paper data These files contain the data used in the following publication: F. Muñoz, M. G. Pennino, D. Conesa, A. López-Quílez, J. M. Bellido (2013). Estimation and prediction of the spatial occurrence of fish species using Bayesian latent Gaussian models. Stochastic Environmental Research and Risk Assessment 27(5):1171-1180. DOI:10.1007/s00477-012-0652-3 ## Contents - `spatial_data.RData` contains all the environmental information.     - Chl:      A `SpatialGridDataFrame` object with Chlorophyll-a values     - Depth:      A `SpatialGridDataFrame` object with Bathymetry values     - coast:  A `SpatialPolygonsDataFrame` object with the coastline     All the `Spatial*` classes are defined in the package `sp`. - `MediterraneusT.csv` is the original dataset from IEO after some minimal cleanup. It contains the year, coordinates (EPSG 23030) and presence indication. These data are property of the Spanish Institute of Oceanography, who grants the right to use them for educational purposes only.