Stable‐isotope analysis reveals sources of organic matter and ontogenic feeding shifts of a mangrove‐dependent predator species, New Granada sea catfish, Ariopsis canteri
To gain a better understanding on the trophic ecology of New Granada sea catfish, Ariopsis canteri, and their linkage to mangroves, nitrogen and stable carbon isotopes (δ15N and δ13C), as well as Bayesian mixing models, were used to explore trophic dynamics and potential ontogenic feeding shifts acr...
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description | To gain a better understanding on the trophic ecology of New Granada sea catfish, Ariopsis canteri, and their linkage to mangroves, nitrogen and stable carbon isotopes (δ15N and δ13C), as well as Bayesian mixing models, were used to explore trophic dynamics and potential ontogenic feeding shifts across different size classes: class I (8–20 cm), class II (21–32 cm) and class III (>32 cm). The study area was the estuary of the Atrato River Delta, where information about fish ecology is scarce. The δ13C of size class I was lower (mean ± s.d. = −24.96 ± 0.69‰) than that of size classes II (−22.20 ± 0.90‰) and III (−22.00 ± 1.96‰). The δ15N of size class I was lower (mean ± s.d. = 8.50 ± 0.67‰) than that of size classes II (9.77 ± 0.60‰) and III (10.00 ± 0.66‰). Body size was positively and significantly correlated to δ15N and δ13C. Individuals with LT > 32 cm presented the highest estimated trophic position (3.8). Five‐source mixing models indicated that for class I, the mean estimated contribution of macroalgae was the highest (6%–57% c.i.), and for classes II and III, the mean estimated contribution of macrophytes was the highest (3%–53% c.i. and 4%–53% c.i., respectively). Ontogenetic feeding shifts of A. canteri were confirmed evidencing decreasing intraspecific competition between small and large individuals. Results suggest that mangroves are a nursery and feeding ground habitat for this species and that mangroves support A. canteri mainly due to the substrate/habitat that supports sources in the food webs. These results can be used in ecosystem‐based fishery management focused on the protection of extensive mangrove areas in the southern Caribbean Sea. |
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The study area was the estuary of the Atrato River Delta, where information about fish ecology is scarce. The δ13C of size class I was lower (mean ± s.d. = −24.96 ± 0.69‰) than that of size classes II (−22.20 ± 0.90‰) and III (−22.00 ± 1.96‰). The δ15N of size class I was lower (mean ± s.d. = 8.50 ± 0.67‰) than that of size classes II (9.77 ± 0.60‰) and III (10.00 ± 0.66‰). Body size was positively and significantly correlated to δ15N and δ13C. Individuals with LT > 32 cm presented the highest estimated trophic position (3.8). Five‐source mixing models indicated that for class I, the mean estimated contribution of macroalgae was the highest (6%–57% c.i.), and for classes II and III, the mean estimated contribution of macrophytes was the highest (3%–53% c.i. and 4%–53% c.i., respectively). Ontogenetic feeding shifts of A. canteri were confirmed evidencing decreasing intraspecific competition between small and large individuals. Results suggest that mangroves are a nursery and feeding ground habitat for this species and that mangroves support A. canteri mainly due to the substrate/habitat that supports sources in the food webs. These results can be used in ecosystem‐based fishery management focused on the protection of extensive mangrove areas in the southern Caribbean Sea.</description><identifier>ISSN: 0022-1112</identifier><identifier>EISSN: 1095-8649</identifier><identifier>DOI: 10.1111/jfb.14404</identifier><identifier>PMID: 32445234</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Algae ; Animals ; Aquatic plants ; Ariopsis ; Bayes Theorem ; Bayesian analysis ; Bayesian mixing models ; Body size ; Carbon isotopes ; Carbon Isotopes - analysis ; Caribbean Region ; Catfish ; Catfishes - classification ; Catfishes - physiology ; Ecology ; Ecosystem management ; Estuaries ; Estuarine dynamics ; Feeding ; Feeding Behavior ; Fish ; Fisheries ; Fisheries management ; Fishery management ; Food chains ; Food sources ; Food webs ; Freshwater fishes ; Habitats ; Isotopes ; Macrophytes ; Mangroves ; Mathematical models ; Nitrogen ; Nitrogen Isotopes - analysis ; Nursery grounds ; Ontogeny ; Organic matter ; Predators ; Probability theory ; Rivers ; Seaweeds ; size class ; southern Caribbean Sea ; Substrates ; Urabá Gulf ; Wetlands</subject><ispartof>Journal of fish biology, 2020-08, Vol.97 (2), p.499-507</ispartof><rights>2020 The Fisheries Society of the British Isles</rights><rights>2020 The Fisheries Society of the British Isles.</rights><rights>Journal of Fish Biology © 2020 The Fisheries Society of the British Isles</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3534-6de5253b97bb1180a70f13c59ed277feda8f6a762018c1a315f4ea4c5df875c63</citedby><cites>FETCH-LOGICAL-c3534-6de5253b97bb1180a70f13c59ed277feda8f6a762018c1a315f4ea4c5df875c63</cites><orcidid>0000-0002-5595-1677</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjfb.14404$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjfb.14404$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32445234$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sandoval, Luis Alejandro</creatorcontrib><creatorcontrib>Leal‐Flórez, Jenny</creatorcontrib><creatorcontrib>Blanco‐Libreros, Juan Felipe</creatorcontrib><creatorcontrib>Mancera‐Pineda, José Ernesto</creatorcontrib><creatorcontrib>Delgado‐Huertas, Antonio</creatorcontrib><creatorcontrib>Polo‐Silva, Carlos Julio</creatorcontrib><title>Stable‐isotope analysis reveals sources of organic matter and ontogenic feeding shifts of a mangrove‐dependent predator species, New Granada sea catfish, Ariopsis canteri</title><title>Journal of fish biology</title><addtitle>J Fish Biol</addtitle><description>To gain a better understanding on the trophic ecology of New Granada sea catfish, Ariopsis canteri, and their linkage to mangroves, nitrogen and stable carbon isotopes (δ15N and δ13C), as well as Bayesian mixing models, were used to explore trophic dynamics and potential ontogenic feeding shifts across different size classes: class I (8–20 cm), class II (21–32 cm) and class III (>32 cm). The study area was the estuary of the Atrato River Delta, where information about fish ecology is scarce. The δ13C of size class I was lower (mean ± s.d. = −24.96 ± 0.69‰) than that of size classes II (−22.20 ± 0.90‰) and III (−22.00 ± 1.96‰). The δ15N of size class I was lower (mean ± s.d. = 8.50 ± 0.67‰) than that of size classes II (9.77 ± 0.60‰) and III (10.00 ± 0.66‰). Body size was positively and significantly correlated to δ15N and δ13C. Individuals with LT > 32 cm presented the highest estimated trophic position (3.8). Five‐source mixing models indicated that for class I, the mean estimated contribution of macroalgae was the highest (6%–57% c.i.), and for classes II and III, the mean estimated contribution of macrophytes was the highest (3%–53% c.i. and 4%–53% c.i., respectively). Ontogenetic feeding shifts of A. canteri were confirmed evidencing decreasing intraspecific competition between small and large individuals. Results suggest that mangroves are a nursery and feeding ground habitat for this species and that mangroves support A. canteri mainly due to the substrate/habitat that supports sources in the food webs. These results can be used in ecosystem‐based fishery management focused on the protection of extensive mangrove areas in the southern Caribbean Sea.</description><subject>Algae</subject><subject>Animals</subject><subject>Aquatic plants</subject><subject>Ariopsis</subject><subject>Bayes Theorem</subject><subject>Bayesian analysis</subject><subject>Bayesian mixing models</subject><subject>Body size</subject><subject>Carbon isotopes</subject><subject>Carbon Isotopes - analysis</subject><subject>Caribbean Region</subject><subject>Catfish</subject><subject>Catfishes - classification</subject><subject>Catfishes - physiology</subject><subject>Ecology</subject><subject>Ecosystem management</subject><subject>Estuaries</subject><subject>Estuarine dynamics</subject><subject>Feeding</subject><subject>Feeding Behavior</subject><subject>Fish</subject><subject>Fisheries</subject><subject>Fisheries management</subject><subject>Fishery management</subject><subject>Food chains</subject><subject>Food sources</subject><subject>Food webs</subject><subject>Freshwater fishes</subject><subject>Habitats</subject><subject>Isotopes</subject><subject>Macrophytes</subject><subject>Mangroves</subject><subject>Mathematical models</subject><subject>Nitrogen</subject><subject>Nitrogen Isotopes - analysis</subject><subject>Nursery grounds</subject><subject>Ontogeny</subject><subject>Organic matter</subject><subject>Predators</subject><subject>Probability theory</subject><subject>Rivers</subject><subject>Seaweeds</subject><subject>size class</subject><subject>southern Caribbean Sea</subject><subject>Substrates</subject><subject>Urabá Gulf</subject><subject>Wetlands</subject><issn>0022-1112</issn><issn>1095-8649</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10c1qFTEYBuAgij1tXXgDEnBjodPmd36WtdiqFF1U10Mm-XKaw5xkTHJazs5L8Eq8KK_ETE_tomA2gfDwfuF7EXpNyQkt53RlhxMqBBHP0IKSTlZtLbrnaEEIY1UBbA_tp7QihHS84y_RHmdCSMbFAv2-zmoY4c_PXy6FHCbAyqtxm1zCEW5BjQmnsIkaEg4Wh7hU3mm8VjlDLNTg4HNYwvxoAYzzS5xunM33XBXolzHczvkGJvAGfMZTBKNyiDhNoB2kY_wF7vBlLJONwgkU1ipbl26O8Vl0YZo_o5UvE90hemHLn-DVw32Avl98-Hb-sbr6evnp_Oyq0lxyUdUGJJN86JphoLQlqiGWci07MKxpbBnf2lo1NSO01VRxKq0AJbQ0tm2krvkBerfLnWL4sYGU-7VLGsZReQib1DNBak4ko7zQt0_oqiysLHFWnLW8mKaoo53SMaQUwfZTdGsVtz0l_VxiX0rs70ss9s1D4mZYg3mU_1or4HQH7twI2_8n9Z8v3u8i_wJAt6qf</recordid><startdate>202008</startdate><enddate>202008</enddate><creator>Sandoval, Luis Alejandro</creator><creator>Leal‐Flórez, Jenny</creator><creator>Blanco‐Libreros, Juan Felipe</creator><creator>Mancera‐Pineda, José Ernesto</creator><creator>Delgado‐Huertas, Antonio</creator><creator>Polo‐Silva, Carlos Julio</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7TN</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H95</scope><scope>L.G</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5595-1677</orcidid></search><sort><creationdate>202008</creationdate><title>Stable‐isotope analysis reveals sources of organic matter and ontogenic feeding shifts of a mangrove‐dependent predator species, New Granada sea catfish, Ariopsis canteri</title><author>Sandoval, Luis Alejandro ; 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The study area was the estuary of the Atrato River Delta, where information about fish ecology is scarce. The δ13C of size class I was lower (mean ± s.d. = −24.96 ± 0.69‰) than that of size classes II (−22.20 ± 0.90‰) and III (−22.00 ± 1.96‰). The δ15N of size class I was lower (mean ± s.d. = 8.50 ± 0.67‰) than that of size classes II (9.77 ± 0.60‰) and III (10.00 ± 0.66‰). Body size was positively and significantly correlated to δ15N and δ13C. Individuals with LT > 32 cm presented the highest estimated trophic position (3.8). Five‐source mixing models indicated that for class I, the mean estimated contribution of macroalgae was the highest (6%–57% c.i.), and for classes II and III, the mean estimated contribution of macrophytes was the highest (3%–53% c.i. and 4%–53% c.i., respectively). Ontogenetic feeding shifts of A. canteri were confirmed evidencing decreasing intraspecific competition between small and large individuals. Results suggest that mangroves are a nursery and feeding ground habitat for this species and that mangroves support A. canteri mainly due to the substrate/habitat that supports sources in the food webs. These results can be used in ecosystem‐based fishery management focused on the protection of extensive mangrove areas in the southern Caribbean Sea.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>32445234</pmid><doi>10.1111/jfb.14404</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5595-1677</orcidid></addata></record> |
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subjects | Algae Animals Aquatic plants Ariopsis Bayes Theorem Bayesian analysis Bayesian mixing models Body size Carbon isotopes Carbon Isotopes - analysis Caribbean Region Catfish Catfishes - classification Catfishes - physiology Ecology Ecosystem management Estuaries Estuarine dynamics Feeding Feeding Behavior Fish Fisheries Fisheries management Fishery management Food chains Food sources Food webs Freshwater fishes Habitats Isotopes Macrophytes Mangroves Mathematical models Nitrogen Nitrogen Isotopes - analysis Nursery grounds Ontogeny Organic matter Predators Probability theory Rivers Seaweeds size class southern Caribbean Sea Substrates Urabá Gulf Wetlands |
title | Stable‐isotope analysis reveals sources of organic matter and ontogenic feeding shifts of a mangrove‐dependent predator species, New Granada sea catfish, Ariopsis canteri |
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