Regional patterns in species richness and taxonomic diversity of the nearshore fish community in the Brazilian coast

Araújo, Francisco Gerson; Rodrigues, Fábio Lameiro; Teixeira-Neves, Tatiana P.; Vieira, João Paes; Azevedo, Márcia Cristina Costa de; Guedes, Ana Paula Penha; Garcia, Alexandre; Pessanha, André Luiz Machado

doi:10.1016/j.ecss.2018.04.027

Cited by 21 publications

(5 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The influence of animal bait (i.e., shrimp) may bias sampling toward carnivorous fish and exclude herbivorous or omnivorous species, which can also affect fish composition in biodiversity surveys [65]. The fish species of southeastern Brazil and the Brazilian coast are dominated by the order Perciformes [66,67]. Fish in our study were also dominated by Perciformes, with the proportion on each reef being relatively high.…”

Section: Species Compositionmentioning

confidence: 94%

Fish Composition and Diversity of Four Coral Reefs in the South China Sea Based on Hand-Line Catch

Chen

Zhang

2021

JMSE

View full text Add to dashboard Cite

To improve the overall understanding of the fish diversity and spatial patterns of major coral reefs in the South China Sea, fish assemblage composition, dominant species, biodiversity indices, and multivariate analysis of community structure were reported for four major coral reefs based on hand-line survey data in May and September 2018. A total of five orders, 21 families, 45 genera and 121 species of fish were recorded with Perciformes (78.5%) being the most diverse. The highest number (5) of dominant species was found near Chenhang Island while the lowest (2) number was detected at Zhubi Reef. The highest abundance index (7.21) occurred at Zhubi Reef, while the Shannon–Wiener diversity (4.80), Pielou’s evenness (0.81), and Simpson’s dominance (0.95) indexes were all highest at Qiliangyu Island. Based on cluster analysis and non-metric multi-dimensional scaling (NMDS), fish communities varied more spatially than seasonally. Our results led us to hypothesize that the habitat complexity and level of anthropogenic disturbance were the main factors affecting the composition of reef-dwelling fish on each coral reef. Topography was likely responsible for most variation in the spatial pattern of fish diversity.

show abstract

Section: Species Compositionmentioning

confidence: 94%

Fish Composition and Diversity of Four Coral Reefs in the South China Sea Based on Hand-Line Catch

Chen

Zhang

2021

JMSE

View full text Add to dashboard Cite

show abstract

“…Mean of FO% and PN% were calculated and referred to as

\overset{X}{true}

FO% and

\overset{X}{true}

PN%, respectively. The criteria to classify the relative importance of each species into four groups was modified from Araújo et al (2018) as follows: Species found rarely or in small numbers (PN% <

\overset{X}{true}

PN%, FO% <

\overset{X}{true}

FO%) classified as “rare” species. Not‐abundant but frequently‐encountered species (PN% <

\overset{X}{true}

PN%, FO% ≥

\overset{X}{true}

FO%). Abundant but rarely encountered (rare) species (PN% ≥

\overset{X}{true}

PN%, FO% <

\overset{X}{true}

FO%). Abundant and frequently‐encountered (frequent) species (PN% ≥

\overset{X}{true}

PN%, FO% ≥

\overset{X}{true}

FO%) classified as “dominant” species. …”

Section: Methodsmentioning

confidence: 99%

“…This characteristic separated them from those species that were sparsely distributed and few in number. The species identified as “abundant and frequent” were considered to be dominant (Araújo et al, 2018). The temporally dominant species from the GT and the AN were grouped separately based on FO% and PN% using hierarchical cluster analysis.…”

Section: Methodsmentioning

confidence: 99%

Spatial–temporal shifts of ponyfish (Perciformes: Leiognathidae) diversity in by‐catch of trawl fishery, including morph variation of Photopectoralis bindus

Klangnurak

True

2021

J Appl Ichthyol

View full text Add to dashboard Cite

Ponyfish (Perciformes: Leiognathidae) are a diverse group of mainly small, planktivorous fishes that comprise much of the teleost component found in the by‐catch of trawlers in Thai waters. The generic taxonomy of ponyfish has been revised many times, which has resulted in confusion in the historical records of fishing data. Moreover, since two monsoon seasons affect the different coasts of Thailand at different times of the year, their effects are likely to have separate impacts on marine fish diversity in Thailand according to the time of year. By‐catch samples totaling 25,439 ponyfish were collected from commercial fishing vessels during three sampling episodes in each of two Andaman Sea provinces and three provinces in the Gulf of Thailand. Ponyfish samples were identified to the species level and taxonomical ambiguity was dealt with by DNA sequencing against GenBank to identify the specie. From these data, the spatial and temporal community diversity and abundance were calculated. Richness and total abundance were significantly different between seasons but not between the two sides of the Thai peninsula. Diversity of ponyfish in bycatch was least during the monsoon transition period or the dry season. Morphological variation of Photopectoralis bindus has been a source of taxonomic confusion in the past, but here, the use of DNA sequencing in addition to body ratio data analysis reinforces taxonomic clarity and suggests population‐level structuring that may explain these issues. These findings indicate the role of seasonal fluctuations in biodiversity maintenance for fisheries management in Thailand.

show abstract

“…Rio de Janeiro is in a transitional climatic zone [ 13 , 14 , 15 ] and exhibits peculiar local influences, such as a seasonal phenomenon in the north caused by the subtropical convergence waters which bring cold water to the surface on the north coast. The Cabo Frio region is considered by some authors as the limit and a transitional area between the tropical and temperate (or Patagonian) provinces [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Identifying Whitemouth Croaker (Micropogonias furnieri) Populations along the Rio de Janeiro Coast, Brazil, through Microsatellite and Otolith Analyses

Franco

Vilasboa

Araújo

et al. 2023

Biology

Self Cite

View full text Add to dashboard Cite

The inshore area of the Southwestern Atlantic between 22 °S and 29 °S (South Brazilian Bight) is a transitional climatic zone, where the tropical and warm temperate provinces mix. In its northern part, i.e., in the coastal waters of Rio de Janeiro, Brazil, local oceanographic conditions, such as upwelling in the north, and great bays with different degrees of anthropogenic influences in the center and south can determine the population structure of several fish stocks. The Whitemouth croaker (Micropogonias furnieri) is one the most heavily exploited fishing resources in this area, but there are still some doubts about its population structure. In this study, through combined analyses using nuclear genetic markers and morphological and geochemical signatures of otoliths, a divergence of individuals between two populations was identified using microsatellites, while a finer spatial structure with three populations (north, center and south, respectively) was found based on otolith shapes and elemental signatures. This regional population structure may have direct implications for rational fisheries management and conservation of the species.

show abstract

Regional patterns in species richness and taxonomic diversity of the nearshore fish community in the Brazilian coast

Cited by 21 publications

References 67 publications

Fish Composition and Diversity of Four Coral Reefs in the South China Sea Based on Hand-Line Catch

Fish Composition and Diversity of Four Coral Reefs in the South China Sea Based on Hand-Line Catch

Spatial–temporal shifts of ponyfish (Perciformes: Leiognathidae) diversity in by‐catch of trawl fishery, including morph variation of Photopectoralis bindus

Identifying Whitemouth Croaker (Micropogonias furnieri) Populations along the Rio de Janeiro Coast, Brazil, through Microsatellite and Otolith Analyses

Contact Info

Product

Resources

About