2015
DOI: 10.3354/meps11071
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Food web characterization based on δ15N and δ13C reveals isotopic niche partitioning between fish and jellyfish in a relatively pristine ecosystem

Abstract: Human-induced stresses on the marine environment seem to favor some jellyfish species to the detriment of other competitors such as planktivorous fishes. In pristine ecosystems, trophic relationships among these consumers are poorly understood. We determined stable carbon and nitrogen isotope signatures of representative consumers in the relatively pristine ecosystem of the Cananéia Estuary, Brazil, in order to understand the food web structure. We described isotopic niche breadth, position, and overlaps betwe… Show more

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Cited by 44 publications
(41 citation statements)
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“…Between-individual variances in jellyfish isotope compositions were estimated from jellyfish sampled both in 2011 (MacKenzie et al 2014) and in 2015 as 1Á69& and 1Á04& for d 13 C cor and d 15 N values, respectively. These between-individual variance estimates are similar to those provided for gelatinous zooplankton by Fleming et al (2015) and Nagata et al (2015), particularly when accounting for the marked effect of size on isotopic variance in the Fleming et al (2015) data. Total uncertainty in the assignment isoscape was given by: r 2 isoðx;yÞ ¼ r 2 k:isoðx;yÞ þ r 2 m:isoðx;yÞ þ r 2 bi:isoðx;yÞ eqn 2 where r 2 isoðx;yÞ is the pooled variance associated with the isoscape prediction, r 2 k:isoðx;yÞ is the variance associated with the spatial interpolation model, r 2 m:isoðx;yÞ is the variance associated with measurement error and r 2 bi:isoðx;yÞ is the variance associated with in situ between-individual variation.…”
Section: S T a T I S T I C A L A S S I G N M E N T M E T H O D Ssupporting
confidence: 75%
“…Between-individual variances in jellyfish isotope compositions were estimated from jellyfish sampled both in 2011 (MacKenzie et al 2014) and in 2015 as 1Á69& and 1Á04& for d 13 C cor and d 15 N values, respectively. These between-individual variance estimates are similar to those provided for gelatinous zooplankton by Fleming et al (2015) and Nagata et al (2015), particularly when accounting for the marked effect of size on isotopic variance in the Fleming et al (2015) data. Total uncertainty in the assignment isoscape was given by: r 2 isoðx;yÞ ¼ r 2 k:isoðx;yÞ þ r 2 m:isoðx;yÞ þ r 2 bi:isoðx;yÞ eqn 2 where r 2 isoðx;yÞ is the pooled variance associated with the isoscape prediction, r 2 k:isoðx;yÞ is the variance associated with the spatial interpolation model, r 2 m:isoðx;yÞ is the variance associated with measurement error and r 2 bi:isoðx;yÞ is the variance associated with in situ between-individual variation.…”
Section: S T a T I S T I C A L A S S I G N M E N T M E T H O D Ssupporting
confidence: 75%
“…These shifts will most likely put them at different trophic levels, i.e ., larger prey sizes would occupy higher trophic positions (Nagata et al . ), which in turn would result in variations in the δ 15 N values among different length categories. Therefore, it is worth emphasizing the importance of collecting the prey species within the size range consumed by franciscanas in each age category; hence, the importance of integrating previous information on the species feeding habits instead of relying exclusively on the model's outcome.…”
Section: Discussionmentioning
confidence: 99%
“…, Nagata et al . ), prey samples were collected taking into account the average prey size consumed by the dolphins, according to Bassoi (). Prey samples were stored at −20°C until preparation for isotope analysis.…”
Section: Methodsmentioning
confidence: 99%
“…However, ontogenetic changes in diet, such as in omnivorous species shifting to herbivory in adulthood, also lead to changes in trophic guilds throughout life (Muñoz & Ojeda, 1998, 2000 and induce temporal variations at both guild and community structure levels (Wilson & Sheaves, 2001). In this respect, stable isotope and fatty acid analyses are promising approaches to characterize complex trophic interactions and define trophic niches (Hielscher et al, 2015) through the integration of spatial and temporal information of the trophic relationships within communities (Nagata et al, 2015).…”
Section: Con Clus Ionsmentioning
confidence: 99%