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Short‐term dynamics in fish assemblage structure on a sheltered sandy beach in Guanabara Bay, Southeastern Brazil

Identifieur interne : 007934 ( Istex/Corpus ); précédent : 007933; suivant : 007935

Short‐term dynamics in fish assemblage structure on a sheltered sandy beach in Guanabara Bay, Southeastern Brazil

Auteurs : Ruan Managna Vasconcellos ; Francisco Gerson Araújo ; Joaquim Neto De Sousa Santos ; Márcio De Araújo Silva

Source :

RBID : ISTEX:F4DD66AE64F1E3240E3E8D8F8106C986E0EE245D

English descriptors

Abstract

Short‐term dynamics in juvenile fish assemblage structure were studied to test whether the most abundant species show temporal segregation, in order to assess whether selected environmental variables could predict species groupings, and to examine the stability of sunset–day–sunrise–night differences. Samplings were collected at 3‐h intervals over 48 h on a seasonal basis between spring 2005 and winter 2006. Fish species richness and abundance were higher in spring, and the lowest values occurred in winter. Harengula clupeola occurred mainly in spring, whereas Atherinella brasiliensis peaked in summer and autumn. On the other hand, Trachinotus carolinus, Umbrina coroides and Mugil liza were abundant in winter. Although temperature, salinity and dissolved oxygen were not found to have a strong effect on the abundance patterns of most species, they did appear to have a significant influence on assemblage groupings, according to canonical correspondence analysis and Spearman rank correlation. There is no consistency of diel usage patterns by a given species across seasons. The relative abundance differed between the time of day, which differed among the seasons; this further complicates an understanding of the dynamics of an assemblage. Studies of diel changes that pooled the sampling period as day or night can miss important changes that occur in a short time scale, such as a 3‐h period.

Url:
DOI: 10.1111/j.1439-0485.2010.00375.x

Links to Exploration step

ISTEX:F4DD66AE64F1E3240E3E8D8F8106C986E0EE245D

Le document en format XML

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<div type="abstract" xml:lang="en">Short‐term dynamics in juvenile fish assemblage structure were studied to test whether the most abundant species show temporal segregation, in order to assess whether selected environmental variables could predict species groupings, and to examine the stability of sunset–day–sunrise–night differences. Samplings were collected at 3‐h intervals over 48 h on a seasonal basis between spring 2005 and winter 2006. Fish species richness and abundance were higher in spring, and the lowest values occurred in winter. Harengula clupeola occurred mainly in spring, whereas Atherinella brasiliensis peaked in summer and autumn. On the other hand, Trachinotus carolinus, Umbrina coroides and Mugil liza were abundant in winter. Although temperature, salinity and dissolved oxygen were not found to have a strong effect on the abundance patterns of most species, they did appear to have a significant influence on assemblage groupings, according to canonical correspondence analysis and Spearman rank correlation. There is no consistency of diel usage patterns by a given species across seasons. The relative abundance differed between the time of day, which differed among the seasons; this further complicates an understanding of the dynamics of an assemblage. Studies of diel changes that pooled the sampling period as day or night can miss important changes that occur in a short time scale, such as a 3‐h period.</div>
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<p>Short‐term dynamics in juvenile fish assemblage structure were studied to test whether the most abundant species show temporal segregation, in order to assess whether selected environmental variables could predict species groupings, and to examine the stability of sunset–day–sunrise–night differences. Samplings were collected at 3‐h intervals over 48 h on a seasonal basis between spring 2005 and winter 2006. Fish species richness and abundance were higher in spring, and the lowest values occurred in winter.
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Discriminating species of each season determined by SIMPER analysis. Only species contributing to 90% to the average similarity are listed. Av sim‐ average similarity.</p>
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Results of one‐way ANOSIM (R values and significance levels) and SIMPER for comparisons of fish assemblages between the periods of the day for each season.</p>
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<dateIssued encoding="w3cdtf">2010-09</dateIssued>
<edition>Accepted: 30 January 2010</edition>
<copyrightDate encoding="w3cdtf">2010</copyrightDate>
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<language>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
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<abstract lang="en">Short‐term dynamics in juvenile fish assemblage structure were studied to test whether the most abundant species show temporal segregation, in order to assess whether selected environmental variables could predict species groupings, and to examine the stability of sunset–day–sunrise–night differences. Samplings were collected at 3‐h intervals over 48 h on a seasonal basis between spring 2005 and winter 2006. Fish species richness and abundance were higher in spring, and the lowest values occurred in winter. Harengula clupeola occurred mainly in spring, whereas Atherinella brasiliensis peaked in summer and autumn. On the other hand, Trachinotus carolinus, Umbrina coroides and Mugil liza were abundant in winter. Although temperature, salinity and dissolved oxygen were not found to have a strong effect on the abundance patterns of most species, they did appear to have a significant influence on assemblage groupings, according to canonical correspondence analysis and Spearman rank correlation. There is no consistency of diel usage patterns by a given species across seasons. The relative abundance differed between the time of day, which differed among the seasons; this further complicates an understanding of the dynamics of an assemblage. Studies of diel changes that pooled the sampling period as day or night can miss important changes that occur in a short time scale, such as a 3‐h period.</abstract>
<subject lang="en">
<genre>keywords</genre>
<topic>Brazil</topic>
<topic>daily changes</topic>
<topic>environmental variables</topic>
<topic>fish assemblages</topic>
<topic>seasonality</topic>
<topic>surf zone</topic>
</subject>
<relatedItem type="host">
<titleInfo>
<title>Marine Ecology</title>
</titleInfo>
<genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre>
<note type="content"> Table S1 Discriminating species of each season determined by SIMPER analysis. Only species contributing to 90% to the average similarity are listed. Av sim‐ average similarity. Table S2 Results of one‐way ANOSIM (R values and significance levels) and SIMPER for comparisons of fish assemblages between the periods of the day for each season. Please note: Wiley‐Blackwell are not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article. Table S1 Discriminating species of each season determined by SIMPER analysis. Only species contributing to 90% to the average similarity are listed. Av sim‐ average similarity. Table S2 Results of one‐way ANOSIM (R values and significance levels) and SIMPER for comparisons of fish assemblages between the periods of the day for each season. Please note: Wiley‐Blackwell are not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article. Table S1 Discriminating species of each season determined by SIMPER analysis. Only species contributing to 90% to the average similarity are listed. Av sim‐ average similarity. Table S2 Results of one‐way ANOSIM (R values and significance levels) and SIMPER for comparisons of fish assemblages between the periods of the day for each season. Please note: Wiley‐Blackwell are not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.Supporting Info Item: Supporting info item - </note>
<subject>
<genre>article-category</genre>
<topic>ORIGINAL ARTICLE</topic>
</subject>
<identifier type="ISSN">0173-9565</identifier>
<identifier type="eISSN">1439-0485</identifier>
<identifier type="DOI">10.1111/(ISSN)1439-0485</identifier>
<identifier type="PublisherID">MAEC</identifier>
<part>
<date>2010</date>
<detail type="volume">
<caption>vol.</caption>
<number>31</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>3</number>
</detail>
<extent unit="pages">
<start>506</start>
<end>519</end>
<total>14</total>
</extent>
</part>
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<identifier type="ark">ark:/67375/WNG-8ND9V5LZ-N</identifier>
<identifier type="DOI">10.1111/j.1439-0485.2010.00375.x</identifier>
<identifier type="ArticleID">MAEC375</identifier>
<accessCondition type="use and reproduction" contentType="copyright">© 2010 Blackwell Verlag GmbH</accessCondition>
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<recordOrigin>Blackwell Publishing Ltd</recordOrigin>
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