Small-scale spatial and temporal variability of larval fish assemblages at an isolated oceanic island

Macedo-Soares, Luis Carlos Pinto de; Freire, Andrea S.; Muelbert, Jose H

doi:10.3354/meps09436

Cited by 31 publications

(47 citation statements)

References 63 publications

(98 reference statements)

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“…Water temperature ( • C) and salinity (WTW LF 197) were recorded before the beginning of each sampling. Chlorophyll a (Chl a) values were obtained from the literature (Macedo-Soares et al, 2012). Wind velocity, wind direction and precipitation were obtained from the nearest oceanic mooring (0 • , 35 • W) (http://www.pmel.noaa.gov/pirata/) (Ivar do Sul et al, 2013).…”

Section: Sampling Methodsmentioning

confidence: 99%

“…Southeast trade winds have a constant strength of 7 m s −1 . From January to May the archipelago is under the influence of the Intertropical Convergence Zone (ITCZ), which increases precipitation and triggers the rainy season (Macedo- Soares et al, 2012). In June, there is a northward movement of the ITCZ and the precipitation decreases, starting the dry season (Macedo- Soares et al, 2012).…”

Section: Study Areamentioning

confidence: 99%

“…It is located in the Equatorial Atlantic Ocean at 1000 km from the northeastern cost of Brazil and 1800 km from the African coast. This archipelago is the smallest and most isolated archipelago in the Brazilian Exclusive Economic Zone, covering an area of 16,000 m 2 (Macedo- Soares et al, 2012). The four major islets (Barão de Teffé, Saint Peter, Saint Paul, and Belmonte) form a small and shallow bay with depths from 4 to 25 m. Reef habitats consist of nearly vertical cliffs extending almost 60 m deep.…”

Section: Study Areamentioning

confidence: 99%

“…It represents a hotspot of biodiversity due to the concentration of pelagic fishes and high endemism of reef fishes (Vaske et al, 2005;Macedo-Soares et al, 2012). The local system of currents promotes vertical mixing between water masses and is likely to be the responsible for the formation, maintenance and disruption of the assemblages at the archipelago (Travassos et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

“…Spatial scales are important to analyse changes in the structure and distribution of larval fish assemblages around oceanic islands (Boehlert and Mundy, 1993;Macedo-Soares et al, 2012), where fish larvae have been classed in four assemblage types: embayment areas, nearshore, intermediate nearshore or neritic and offshore, or oceanic (Boehlert and Mundy, 1993). This general pattern provide a greater understanding of habitats use by fish larvae around these islands.…”

Section: Introductionmentioning

confidence: 99%

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Seasonal-Dial Shifts of Ichthyoplankton Assemblages and Plastic Debris around an Equatorial Atlantic Archipelago

Lima

Barletta

Costa

2016

Front. Environ. Sci.

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Seasonality was a stronger influence in the ichthyoplankton assemblages around the Saint Peter and Saint Paul Archipelago (SPSPA) than distance from the islands. Plastic debris were ubiquitous and although it presented diel trends, no other spatiotemporal patterns was showed. Larval Oxyporhamphus micropterus was the most important taxa (29.37% of the total catch), followed by Ceratoscopelus warmingii and Entomacrodus vomerianus. Exocoetidae eggs represented 41.01%. Mesopelagic fish larvae dominated the community. Myctophidae had the highest species richness (15). Four larval fish assemblages occurred: (1) night-time demersal/bathydemersal (Anguillidae, Congridae); (2) daytime mesopelagic/bathypelagic/epipelagic (Myctophidae, Cyclothone acclinidens); (3) daytime epipelagic (Exocoetidae, Coryphaena hippurus, Thunnus albacares); and (4) night-time reef and demersal (Blennidae, Pomacentridae, Lutjanidae). The dry season (lower temperature, higher chlorophyll a and higher SW wind velocity) influenced the first two assemblages. The rainy season (higher temperatures and lower NW wind velocity) influenced the last two. Nighttime abundance of dominant species in the rainy season suggests diel vertical migration nearshore. Plastics were 2.12 times more abundant than the most abundant fish larvae. Comparable amounts of larvae and plastics in the water column increase the chances of interaction between these two compartments and might disturb the local marine food web and promote the transfer of microplastic from one habitat to another, especially when smaller taxa contaminated by ingested fragments are preyed by migratory animals such as marine birds and tuna. A study around the area concluded that at least a part of the plastic debris can have local source due to fishing activities. Small-scale oceanographic mechanisms such as the interaction between the topography and currents (SEC and EUC) seem to be responsible for the retention of fish eggs, fish larvae and plastics around SPSPA.

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Section: Sampling Methodsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Seasonal-Dial Shifts of Ichthyoplankton Assemblages and Plastic Debris around an Equatorial Atlantic Archipelago

Lima

Barletta

Costa

2016

Front. Environ. Sci.

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Resemblance profiles as clustering decision criteria: Estimating statistical power, error, and correspondence for a hypothesis test for multivariate structure

Kilborn

Jones

Peebles

et al. 2017

Ecology and Evolution

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Clustering data continues to be a highly active area of data analysis, and resemblance profiles are being incorporated into ecological methodologies as a hypothesis testing‐based approach to clustering multivariate data. However, these new clustering techniques have not been rigorously tested to determine the performance variability based on the algorithm's assumptions or any underlying data structures. Here, we use simulation studies to estimate the statistical error rates for the hypothesis test for multivariate structure based on dissimilarity profiles (DISPROF). We concurrently tested a widely used algorithm that employs the unweighted pair group method with arithmetic mean (UPGMA) to estimate the proficiency of clustering with DISPROF as a decision criterion. We simulated unstructured multivariate data from different probability distributions with increasing numbers of objects and descriptors, and grouped data with increasing overlap, overdispersion for ecological data, and correlation among descriptors within groups. Using simulated data, we measured the resolution and correspondence of clustering solutions achieved by DISPROF with UPGMA against the reference grouping partitions used to simulate the structured test datasets. Our results highlight the dynamic interactions between dataset dimensionality, group overlap, and the properties of the descriptors within a group (i.e., overdispersion or correlation structure) that are relevant to resemblance profiles as a clustering criterion for multivariate data. These methods are particularly useful for multivariate ecological datasets that benefit from distance‐based statistical analyses. We propose guidelines for using DISPROF as a clustering decision tool that will help future users avoid potential pitfalls during the application of methods and the interpretation of results.

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Zoo- and Ichthyoplankton Communities of Pelagic Ecosystems in the Western Tropical Atlantic

Schwamborn

Neumann‐Leitão²,

Lira³

et al. 2023

The Latin American Studies Book Series

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Small-scale spatial and temporal variability of larval fish assemblages at an isolated oceanic island

Cited by 31 publications

References 63 publications

Seasonal-Dial Shifts of Ichthyoplankton Assemblages and Plastic Debris around an Equatorial Atlantic Archipelago

Seasonal-Dial Shifts of Ichthyoplankton Assemblages and Plastic Debris around an Equatorial Atlantic Archipelago

Resemblance profiles as clustering decision criteria: Estimating statistical power, error, and correspondence for a hypothesis test for multivariate structure

Zoo- and Ichthyoplankton Communities of Pelagic Ecosystems in the Western Tropical Atlantic

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