Assemblage pattern, guild compositions and seasonal dynamics of ornamental and food fishes in the Indian Sundarbans estuarine system: a model-based approach for sustainability
We report here the ecohydrological interactions and distribution pattern of fish species composition in the Indian Sundarbans estuarine system (SES). Seasonal sampling was conducted in two phases, with the first sampling occurring between July 2010 and June 2011 and the second sampling occurring bet...
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creator | Gogoi, Pranab Roshith, C. M. Manna, Ranjan Kumar Chanu, Thangjam Nirupada Jana, Chayna Bhakta, Dibakar Koushlesh, Satish K. Das, Sanjoy Kumar Sinha, Archana Samanta, Srikanta Das, Basanta Kumar |
description | We report here the ecohydrological interactions and distribution pattern of fish species composition in the Indian Sundarbans estuarine system (SES). Seasonal sampling was conducted in two phases, with the first sampling occurring between July 2010 and June 2011 and the second sampling occurring between July 2015 and June 2017. In total, 204 fish species belonging to 143 genera, 63 families and 28 orders were recorded. Fish species diversity was lower in the second phase of the study (131 species) than in the first phase (165 species). The species richness predictions varied significantly (
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doi_str_mv | 10.1007/s00027-023-01010-5 |
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p
< 0.05) across seasons and stations in both study periods. Permutational multivariate analysis of variance (PERMANOVA) revealed significant spatial (
F
= 26.463;
p
= 0.001) and temporal variations (
F
= 17.352,
p
= 0.001) of fish species compositions in the SES. The fish families Gobiidae and Sciaenidae accounted for the largest share (9.47% each) of the total fish species diversity. The functional ecological guilds ‘marine migrants’ and ‘marine stragglers’ were predominant in the lower estuaries, while ‘estuarine species’ predominated in the middle estuaries, and ‘freshwater stragglers’ and ‘freshwater migrants’ predominated in the upper estuaries. The dominance of ‘marine migrants’ and ‘marine stragglers’ over ‘estuarine species’ indicates a strong influence of the salinity regime on fish community assemblages. The species-specific interaction with water variables was evaluated. Water temperature and salinity proved to be the best predictor variables for structuring fish abundance and community composition, as derived from the generalized additive model. This model quantified that higher fish abundance is more likely to occur in the temperature range 25–27 °C and pH range 7.35–8.2 in the SES.</description><identifier>ISSN: 1015-1621</identifier><identifier>EISSN: 1420-9055</identifier><identifier>DOI: 10.1007/s00027-023-01010-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Abundance ; Additives ; Biodiversity ; Biomedical and Life Sciences ; Brackishwater environment ; Community composition ; Composition ; Distribution patterns ; Ecohydrology ; Ecology ; Environmental Management ; Estuaries ; Fish ; Food fish ; Freshwater ; Freshwater & Marine Ecology ; Geographical distribution ; Guilds ; Inland water environment ; Life Sciences ; Marine & Freshwater Sciences ; Marine ecology ; Multivariate analysis ; Oceanography ; Population distribution ; Research Article ; Salinity ; Salinity effects ; Sampling ; Seasonal variations ; Seasons ; Species composition ; Species diversity ; Species richness ; Sustainability ; Temporal variations ; Variance analysis ; Water temperature</subject><ispartof>Aquatic sciences, 2023-10, Vol.85 (4), p.112, Article 112</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-3b62f9befab79c4dd8f9ce2ce1797a3365af2f8021d8367694c3ad18412d43aa3</citedby><cites>FETCH-LOGICAL-c319t-3b62f9befab79c4dd8f9ce2ce1797a3365af2f8021d8367694c3ad18412d43aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00027-023-01010-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00027-023-01010-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Gogoi, Pranab</creatorcontrib><creatorcontrib>Roshith, C. M.</creatorcontrib><creatorcontrib>Manna, Ranjan Kumar</creatorcontrib><creatorcontrib>Chanu, Thangjam Nirupada</creatorcontrib><creatorcontrib>Jana, Chayna</creatorcontrib><creatorcontrib>Bhakta, Dibakar</creatorcontrib><creatorcontrib>Koushlesh, Satish K.</creatorcontrib><creatorcontrib>Das, Sanjoy Kumar</creatorcontrib><creatorcontrib>Sinha, Archana</creatorcontrib><creatorcontrib>Samanta, Srikanta</creatorcontrib><creatorcontrib>Das, Basanta Kumar</creatorcontrib><title>Assemblage pattern, guild compositions and seasonal dynamics of ornamental and food fishes in the Indian Sundarbans estuarine system: a model-based approach for sustainability</title><title>Aquatic sciences</title><addtitle>Aquat Sci</addtitle><description>We report here the ecohydrological interactions and distribution pattern of fish species composition in the Indian Sundarbans estuarine system (SES). Seasonal sampling was conducted in two phases, with the first sampling occurring between July 2010 and June 2011 and the second sampling occurring between July 2015 and June 2017. In total, 204 fish species belonging to 143 genera, 63 families and 28 orders were recorded. Fish species diversity was lower in the second phase of the study (131 species) than in the first phase (165 species). The species richness predictions varied significantly (
p
< 0.05) across seasons and stations in both study periods. Permutational multivariate analysis of variance (PERMANOVA) revealed significant spatial (
F
= 26.463;
p
= 0.001) and temporal variations (
F
= 17.352,
p
= 0.001) of fish species compositions in the SES. The fish families Gobiidae and Sciaenidae accounted for the largest share (9.47% each) of the total fish species diversity. The functional ecological guilds ‘marine migrants’ and ‘marine stragglers’ were predominant in the lower estuaries, while ‘estuarine species’ predominated in the middle estuaries, and ‘freshwater stragglers’ and ‘freshwater migrants’ predominated in the upper estuaries. The dominance of ‘marine migrants’ and ‘marine stragglers’ over ‘estuarine species’ indicates a strong influence of the salinity regime on fish community assemblages. The species-specific interaction with water variables was evaluated. Water temperature and salinity proved to be the best predictor variables for structuring fish abundance and community composition, as derived from the generalized additive model. This model quantified that higher fish abundance is more likely to occur in the temperature range 25–27 °C and pH range 7.35–8.2 in the SES.</description><subject>Abundance</subject><subject>Additives</subject><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Brackishwater environment</subject><subject>Community composition</subject><subject>Composition</subject><subject>Distribution patterns</subject><subject>Ecohydrology</subject><subject>Ecology</subject><subject>Environmental Management</subject><subject>Estuaries</subject><subject>Fish</subject><subject>Food fish</subject><subject>Freshwater</subject><subject>Freshwater & Marine Ecology</subject><subject>Geographical distribution</subject><subject>Guilds</subject><subject>Inland water environment</subject><subject>Life Sciences</subject><subject>Marine & Freshwater Sciences</subject><subject>Marine ecology</subject><subject>Multivariate analysis</subject><subject>Oceanography</subject><subject>Population distribution</subject><subject>Research Article</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Sampling</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Species composition</subject><subject>Species diversity</subject><subject>Species richness</subject><subject>Sustainability</subject><subject>Temporal variations</subject><subject>Variance analysis</subject><subject>Water temperature</subject><issn>1015-1621</issn><issn>1420-9055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9UctqHTEMHUoLTdP8QFaGbuvWj3l2F0IfgUAXbdZGY8v3OszYU8uzuF_VX4zTW-iuCCQhzjlIOk1zLcUHKcTwkYQQauBCaS5kDd69aC5kqwSfRNe9rL2QHZe9kq-bN0SPQkg1DuNF8_uGCNd5gQOyDUrBHN-zwx4Wx2xat0ShhBSJQXSMEChFWJg7RViDJZY8S7n2GEsdP2N8SjUFOiKxEFk5IruLLkBkP_boIM9QxZDKDjlEZHSigusnBmxNDhc-A6FjsG05gT1WtcxopwIhwhyWUE5vm1ceFsKrv_Wyefjy-eftN37__evd7c09t1pOheu5V36a0cM8TLZ1bvSTRWVRDtMAWvcdeOVHoaQbdT_0U2s1ODm2UrlWA-jL5t1Zt27ya68Lm8e011MXMvVxbX2q1kNFqTPK5kSU0ZsthxXyyUhhno0xZ2NMNcb8McZ0laTPJKrgeMD8T_o_rCfWM5UW</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Gogoi, Pranab</creator><creator>Roshith, C. M.</creator><creator>Manna, Ranjan Kumar</creator><creator>Chanu, Thangjam Nirupada</creator><creator>Jana, Chayna</creator><creator>Bhakta, Dibakar</creator><creator>Koushlesh, Satish K.</creator><creator>Das, Sanjoy Kumar</creator><creator>Sinha, Archana</creator><creator>Samanta, Srikanta</creator><creator>Das, Basanta Kumar</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7SN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H95</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>M7N</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20231001</creationdate><title>Assemblage pattern, guild compositions and seasonal dynamics of ornamental and food fishes in the Indian Sundarbans estuarine system: a model-based approach for sustainability</title><author>Gogoi, Pranab ; Roshith, C. M. ; Manna, Ranjan Kumar ; Chanu, Thangjam Nirupada ; Jana, Chayna ; Bhakta, Dibakar ; Koushlesh, Satish K. ; Das, Sanjoy Kumar ; Sinha, Archana ; Samanta, Srikanta ; Das, Basanta Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-3b62f9befab79c4dd8f9ce2ce1797a3365af2f8021d8367694c3ad18412d43aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Abundance</topic><topic>Additives</topic><topic>Biodiversity</topic><topic>Biomedical and Life Sciences</topic><topic>Brackishwater environment</topic><topic>Community composition</topic><topic>Composition</topic><topic>Distribution patterns</topic><topic>Ecohydrology</topic><topic>Ecology</topic><topic>Environmental Management</topic><topic>Estuaries</topic><topic>Fish</topic><topic>Food fish</topic><topic>Freshwater</topic><topic>Freshwater & Marine Ecology</topic><topic>Geographical distribution</topic><topic>Guilds</topic><topic>Inland water environment</topic><topic>Life Sciences</topic><topic>Marine & Freshwater Sciences</topic><topic>Marine ecology</topic><topic>Multivariate analysis</topic><topic>Oceanography</topic><topic>Population distribution</topic><topic>Research Article</topic><topic>Salinity</topic><topic>Salinity effects</topic><topic>Sampling</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Species composition</topic><topic>Species diversity</topic><topic>Species richness</topic><topic>Sustainability</topic><topic>Temporal variations</topic><topic>Variance analysis</topic><topic>Water temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gogoi, Pranab</creatorcontrib><creatorcontrib>Roshith, C. M.</creatorcontrib><creatorcontrib>Manna, Ranjan Kumar</creatorcontrib><creatorcontrib>Chanu, Thangjam Nirupada</creatorcontrib><creatorcontrib>Jana, Chayna</creatorcontrib><creatorcontrib>Bhakta, Dibakar</creatorcontrib><creatorcontrib>Koushlesh, Satish K.</creatorcontrib><creatorcontrib>Das, Sanjoy Kumar</creatorcontrib><creatorcontrib>Sinha, Archana</creatorcontrib><creatorcontrib>Samanta, Srikanta</creatorcontrib><creatorcontrib>Das, Basanta Kumar</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Aquatic sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gogoi, Pranab</au><au>Roshith, C. M.</au><au>Manna, Ranjan Kumar</au><au>Chanu, Thangjam Nirupada</au><au>Jana, Chayna</au><au>Bhakta, Dibakar</au><au>Koushlesh, Satish K.</au><au>Das, Sanjoy Kumar</au><au>Sinha, Archana</au><au>Samanta, Srikanta</au><au>Das, Basanta Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assemblage pattern, guild compositions and seasonal dynamics of ornamental and food fishes in the Indian Sundarbans estuarine system: a model-based approach for sustainability</atitle><jtitle>Aquatic sciences</jtitle><stitle>Aquat Sci</stitle><date>2023-10-01</date><risdate>2023</risdate><volume>85</volume><issue>4</issue><spage>112</spage><pages>112-</pages><artnum>112</artnum><issn>1015-1621</issn><eissn>1420-9055</eissn><abstract>We report here the ecohydrological interactions and distribution pattern of fish species composition in the Indian Sundarbans estuarine system (SES). Seasonal sampling was conducted in two phases, with the first sampling occurring between July 2010 and June 2011 and the second sampling occurring between July 2015 and June 2017. In total, 204 fish species belonging to 143 genera, 63 families and 28 orders were recorded. Fish species diversity was lower in the second phase of the study (131 species) than in the first phase (165 species). The species richness predictions varied significantly (
p
< 0.05) across seasons and stations in both study periods. Permutational multivariate analysis of variance (PERMANOVA) revealed significant spatial (
F
= 26.463;
p
= 0.001) and temporal variations (
F
= 17.352,
p
= 0.001) of fish species compositions in the SES. The fish families Gobiidae and Sciaenidae accounted for the largest share (9.47% each) of the total fish species diversity. The functional ecological guilds ‘marine migrants’ and ‘marine stragglers’ were predominant in the lower estuaries, while ‘estuarine species’ predominated in the middle estuaries, and ‘freshwater stragglers’ and ‘freshwater migrants’ predominated in the upper estuaries. The dominance of ‘marine migrants’ and ‘marine stragglers’ over ‘estuarine species’ indicates a strong influence of the salinity regime on fish community assemblages. The species-specific interaction with water variables was evaluated. Water temperature and salinity proved to be the best predictor variables for structuring fish abundance and community composition, as derived from the generalized additive model. This model quantified that higher fish abundance is more likely to occur in the temperature range 25–27 °C and pH range 7.35–8.2 in the SES.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s00027-023-01010-5</doi></addata></record> |
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subjects | Abundance Additives Biodiversity Biomedical and Life Sciences Brackishwater environment Community composition Composition Distribution patterns Ecohydrology Ecology Environmental Management Estuaries Fish Food fish Freshwater Freshwater & Marine Ecology Geographical distribution Guilds Inland water environment Life Sciences Marine & Freshwater Sciences Marine ecology Multivariate analysis Oceanography Population distribution Research Article Salinity Salinity effects Sampling Seasonal variations Seasons Species composition Species diversity Species richness Sustainability Temporal variations Variance analysis Water temperature |
title | Assemblage pattern, guild compositions and seasonal dynamics of ornamental and food fishes in the Indian Sundarbans estuarine system: a model-based approach for sustainability |
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