| Literature DB >> 35951498 |
Susana Cárdenas-Alayza1,2,3, Michael J Adkesson4, Mickie R Edwards5, Amy C Hirons5, Dimitri Gutiérrez2,6, Yann Tremblay3, Valentina Franco-Trecu7.
Abstract
Determining trophic habits of predator communities is essential to measure interspecific interactions and response to environmental fluctuations. South American fur seals, Arctocephalus australis (SAFS) and sea lions Otaria byronia (SASL), coexist along the coasts of Peru. Recently, ocean warming events (2014-2017) that can decrease and impoverish prey biomass have occurred in the Peruvian Humboldt Current System. In this context, our aim was to assess the effect of warming events on long-term inter- and intra-specific niche segregation. We collected whisker from SAFS (55 females and 21 males) and SASL (14 females and 22 males) in Punta San Juan, Peru. We used δ13C and δ15N values serially archived in otariid whiskers to construct a monthly time series for 2005-2019. From the same period we used sea level anomaly records to determine shifts in the predominant oceanographic conditions using a change point analysis. Ellipse areas (SIBER) estimated niche width of species-sex groups and their overlap. We detected a shift in the environmental conditions marking two distinct periods (P1: January 2005-October 2013; P2: November 2013-December 2019). Reduction in δ15N in all groups during P2 suggests impoverished baseline values with bottom-up effects, a shift towards consuming lower trophic level prey, or both. Reduced overlap between all groups in P2 lends support of a more redundant assemblage during the colder P1 to a more trophically segregated assemblage during warmer P2. SASL females show the largest variation in response to the warming scenario (P2), reducing both ellipse area and δ15N mean values. Plasticity to adapt to changing environments and feeding on a more available food source without fishing pressure can be more advantageous for female SASL, albeit temporary trophic bottom-up effects. This helps explain larger population size of SASL in Peru, in contrast to the smaller and declining SAFS population.Entities:
Mesh:
Year: 2022 PMID: 35951498 PMCID: PMC9371314 DOI: 10.1371/journal.pone.0272348
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Time series for A) monthly sea level anomaly (SLA, cm) and D) sea surface temperature (SST,°C) from study area. Horizontal lines show start / end of Period 1 (mean = +3.4 cm) and Period 2 (mean = +8.1 cm) in SLA and start / end of Period 1 (mean = +14.1°C) and Period 2 (mean = +15.1°C) in SST. C) δ13C and D) δ15N isotopic signatures for all otariid groups.
Isotopic signatures of Peruvian otariid whiskers according to periods investigated in present study.
| Species | Sex |
| Length (mm) | Period 1 | Period 2 | ||||
|---|---|---|---|---|---|---|---|---|---|
| δ13C | δ15N | δ13C | δ15N | ||||||
| SAFS | F | 55 | 115.68 ± 26.78 | -14.32 ± 0.39 | 19.03 ± 0.94 | 1,002 | -14.87 ± 0.47 | 17.99 ± 1.01 | 182 |
| SASL | F | 14 | 150.71 ± 32.61 | -13.58 ± 0.50 | 19.05 ± 1.13 | 71 | -13.72 ± 0.73 | 16.66 ± 1.60 | 322 |
| SAFS | M | 21 | 132.26 ± 40.34 | -13.91 ± 0.35 | 20.20 ± 0.83 | 406 | -14.27 ± 0.36 | 18.71 ± 1.30 | 125 |
| SASL | M | 22 | 200.54 ± 60.23 | -13.45 ± 0.43 | 20.04 ± 1.54 | 719 | -13.36 ± 0.58 | 18.58 ± 1.84 | 114 |
| 112 | 2,198 | 743 | |||||||
Number of whiskers (N), mean length (mm) by species and sex. Mean ± SD of the stable isotope values (δ13C and δ15N) during two periods according to sea level. N fragments: Sample size for species and sex.
Linear Mixed-Effects Models (LMM) for δ13C and δ15N values.
| Model | Intercept | SAFS M | SASL F | SASL M | Period 2 | SAFS M *Period2 | SASL F *Period2 | SASL M *Period2 | AIC |
|---|---|---|---|---|---|---|---|---|---|
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| δ13C~SpecieSex+Period | -14.44 ( | 0.37 ( | 0.69 ( | 0.96 ( | -0.11 ( | - | - | - | 1311 |
| δ15N~SpecieSex*Period | 18.91 ( | 1.14 ( | -1.02 ( | 0.86 ( | -0.56 (0.0034) | -0.0008 (0.99) | -0.03 (0.92) | 0.34 (0.21) | 6291 |
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LMM for δ13Ccor and δ15Ncor whisker values including group (sex-species), period and their interactions as fixed effects and identity and whisker portion as random effect (continuous autocorrelation function). Estimates and p-values (in brackets) are shown for each variable. In bold we show the selected model by the Akaike Information Criterion (AIC). Reference group for each predictor variable is SAFS F.
(***) denotes p<0.01.
Fig 2Standard Ellipse Area (75%) for A) Period 1 and B) Period 2. Black lines delineate community convex hull between centroids of each group.
Corrected Standard Ellipse Area (SEAc) for each period and group estimated with 75% maximum likelihood.
| Group | SEAc Period 1 | SEAc Period 2 |
|---|---|---|
| SAFS F | 0.94 | 0.95 |
| SAFS M | 1.29 | 1.45 |
| SASL F | 4.88 | 1.33 |
| SASL M | 2.27 | 2.64 |
Percent overlap between Peruvian otariid groups according to Period.
| SAFS F | SAFS M | SASL F | SASL M | ||
|---|---|---|---|---|---|
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| - | 14.94 | 80.67 | 0 |
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| 10.85 | - | 92.99 | 22.63 | |
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| 15.48 | 24.58 | - | 30.90 | |
|
| 0 | 12.85 | 66.37 | - | |
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| - | 1.03 | 0 | 0 |
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| 0.67 | - | 0 | 0 | |
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| 0 | 0 | - | 0 | |
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| 0 | 0 | 0 | - |
Values indicate the percent overlap for the group in the row.
Layman metrics estimated according to period.
| Layman Metrics | Period 1 | Period 2 |
|---|---|---|
| δ13C range | 0.94 | 1.41 |
| δ15N range | 1.18 | 2.36 |
| TA | 0.67 | 1.91 |
| CD | 0.60 | 1.05 |
| MNND | 0.71 | 1.16 |
| SDNND | 0.05 | 0.45 |
δ13C range = distance range of δ13C values, δ15N range = distance range of δ15N values, TA = Total area of convex hull, CD = the mean distance to centroid from means, MNND = mean nearest neighbor distance of the means, SDNND = standard deviation of the nearest neighbor distance.