| Literature DB >> 31919456 |
Victor M Aguilera1,2,3, Cristian A Vargas4,5,6, Hans G Dam7.
Abstract
Linking pH/pCO2 natural variation to phenotypic traits and performance of foundational species provides essential information for assessing and predicting the impact of ocean acidification (OA) on marine ecosystems. Yet, evidence of such linkage for copepods, the most abundant metazoans in the oceans, remains scarce, particularly for naturally corrosive Eastern Boundary Upwelling systems (EBUs). This study assessed the relationship between pH levels and traits (body and egg size) and performance (ingestion rate (IR) and egg reproduction rate (EPR)) of the numerically dominant neritic copepod Acartia tonsa, in a year-round upwelling system of the northern (23° S) Humboldt EBUs. The study revealed decreases in chlorophyll (Chl) ingestion rate, egg production rate and egg size with decreasing pH as well as egg production efficiency, but the opposite for copepod body size. Further, ingestion rate increased hyperbolically with Chl, and saturated at ~1 µg Chl. L-1. Food resources categorized as high (H, >1 µg L-1) and low (L, <1 µg L-1) levels, and pH-values categorized as equivalent to present day (≤400 µatm pCO2, pH > 7.89) and future (>400 µatm pCO2, pH < 7.89) were used to compare our observations to values globally employed to experimentally test copepod sensitivity to OA. A comparison (PERMANOVA) test with Chl/pH (2*2) design showed that partially overlapping OA levels expected for the year 2100 in other ocean regions, low-pH conditions in this system negatively impacted traits and performance associated with copepod fitness. However, interacting antagonistically with pH, food resource (Chl) maintained copepod production in spite of low pH levels. Thus, the deleterious effects of ocean acidification are modulated by resource availability in this system.Entities:
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Year: 2020 PMID: 31919456 PMCID: PMC6952375 DOI: 10.1038/s41598-019-56621-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Sampling depth, location, observation period, and physical/chemical measurements (*) and biological estimates (+).
| Site depth (m) | Location | Sampling year | Sampling period | Environmental* Biological+ Variables | Sampling depth (m) |
|---|---|---|---|---|---|
| 40 | 23°27′S | 2015 | May to | CTDO-casts* | 0–27 |
| 70°37′W | September | pH and AT* Chlorophyll- Body size+ Ingestion rates+ Egg production rates+ | 10 10 20–15 20–15 20–15 | ||
| Egg size+ | 20–15 |
Figure 1Temporal display of physical-chemical (panels A to C) and traits/performance of wild caught A. tonsa females (panels D to E) data versus day of the year. The break in the X-axis denotes a change in sampling frequency from 7 ± 2 (n = 7) to 20 ± 7 (n = 4) days.
Figure 2Single correlations between mean pH and copepod traits (A,B) and performance (C,D). Average value (±SE) of twelve (12) observations of body (A) and egg size (B), and ingestion rate (IR) (C) and egg production rate (EPR) (D) of adult A. tonsa females versus seawater pH recorded at 10 m depth. Shown within each panel are the coefficients of determination of the regression, r2, and the p-value for the regression throughout a five month period.
Identification of relevant environmental drivers explaining changes in performance and traits of A. tonsa according to the distance based Linear Model. The model was run among Euclidean and Similarity matrices applying a stepwise selection procedure and sequential R2 (Adj.) selection criteria.
| Variable | Adj. | SS | Pseud-F | P-value | Prop. | Cumul. | res. |
|---|---|---|---|---|---|---|---|
| +pH | 0.44 | 3672 | 29 | 0.0001 | 0.49 | 0.46 | 34 |
| +Chl | 0.48 | 481 | 3.4 | 0.041 | 6.37E-2 | 0.51 | 33 |
| +Sal | 0.50 | 231 | 2.2 | 0.121 | 3.06E-2 | 0.54 | 32 |
| +Temp | 0.50 | 175 | 1.2 | 0.29 | 2.31E-2 | 0.56 | 31 |
| +Oxy | 0.52 | 246 | 2.4 | 0.10 | 3.21E-2 | 0.59 | 30 |
Figure 3Chlorophyll (Chl) categorization in high and low levels. Significant Chl/ingestion rate (IR) relationship was assessed through a functional non-linear regression which showed 1 µg Chl L−1 significantly delimited (F1,35 = 6.43, P-value = 0.02, n = 36) the transition between the ascending and stable IR curve (A). Relative contribution observed at 10 m depth was 41.7% (H) and 58.3% (L).
Figure 4Factorization of upwelling pH levels (High and Low). The threshold between present day and future pCO2 levels segregated on in situ pCO2 estimations (A), the equivalent pH levels representing high (>7.89) and low (<7.89) levels (B). Upwelling pH values were compared with values globally considered in laboratory studies (n = 40) assessing copepod sensitivity to OA conditions expected by the years 2100 and 2300 (C).
Summary of laboratory experiments with different copepod species under pH levels associated to OA- (n = 40), whose species names were checked in the World Register of Marine Species. Scale of pH values not informed (N.I.).
| Lat. | pH OA–scenario | Scale | Source | ||
|---|---|---|---|---|---|
| 2100 | 2300 | ||||
| 34 N | — | 7.55 ± 0.01 | NBS | Kurihara | |
| 34 N | — | 7.32 | NBS | Kurihara & Ishimatsu, 2008 | |
| 24 N | 7.85 ± 0.04 | 7.37 ± 0.08 | NBS | Zhang | |
| 57 N | 7.77 ± 0.04 | 7.37 ± 0.02 | NBS | Mayor | |
| 78 N | 7.6 | NBS | Weydmann | ||
| 77 N | 7.53 | N.I. | Vehmaa | ||
| 54 N | 7.94 ± 0.08 | — | NBS | Rossoll | |
| 49.9 | 7.67 ± 0.21 | N.I. | Fitzer | ||
| 24 N | 7.83 ± 0.02 | — | NBS | Li & Gao, 2012 | |
| 59 N | — | 7.6 | N.I. | Vehmaa | |
| 63 N | 7.31 ± 0.04 | NBS | Pedersen | ||
| 50 N | 7.85 ± 0.02 | 7.78 ± 0.02 | NBS | McConville | |
| 78 N | 7.80 ± 0.05 | 7.6 ± 0.09 | Total | Lewis | |
| 38 N | 7.83 ± 0.02 | — | Total | Zervoudaki | |
| 59 N | — | 7.28 | N.I. | Almén | |
| 63 N | — | 7.64 ± 0.02 | Total | Pedersen | |
| 59 N | — | 7.6 | NBS | Engström-Öst | |
| 79 N | 7.37 | Free | Hildebrandt | ||
| 58 N | 7.82 ± 0.05 | 7.61 ± 0.06 | NBS | Cripps | |
| 59 N | — | 7.5 | Total | Vehmaa | |
| 23 N | 7.81 ± 0.04 | 7.62 ± 0.03 | NBS | Isari | |
| 79 N | 7.8 ± 0.05 | 7.61 ± 0.07 | Total | Thor & Oliva, 2015 | |
| 58 N | 7.7 ± 0.07 | 7.47 ± 0.07 | Total | Thor & Oliva, 2015 | |
| 24 N | 7.79 ± 0.02 | — | NBS | Jin | |
| 23 N | 2300 | 7.66 ± 0.01 | Total | Isari | |
| 37 N | 7.79 ± 0.01 | 7.61 ± 0.02 | N.I. | Oh | |
| 58 N | 7.8 ± 0.05 | 7.61 ± 0.07 | Total | De Wit | |
| 58 N | 7.75 ± 0.02 | 7.54 ± 0.08 | Total | Thor & Dupont, 2015 | |
| 42 N | 7.83 ± 0.01 | 7.74 ± 0.01 | Total | Zervoudaki | |
| 80 N | — | 7.70 ± 0.03 | Total | Thor | |
| 59 N | 7.69 ± 0.01 | 7.47 ± 0.01 | Total | Bailey | |
| 60 N | 7.61 ± 0.09 | 7.42 ± 0.04 | Total | Runge | |
| 80 N | 7.69 ± 0.01 | 7.47 ± 0.01 | Total | Bailey | |
| 59 N | 7.74 ± 0.05 | 7.67 ± 0.06 | Total | Almén | |
| 39.5 S | — | 7.58 ± 0.03 | NBS | Aguilera | |
| 24 N | 7.84 ± 0.06 | 7.42 ± 0.09 | NBS | Zhang | |
| 37 N | — | 7.70 ± 0.03 | NBS | Kang | |
| 79 N | — | 7.62 ± 0.02 | Total | Hildebrandt | |
| 79 N | — | 7.48 ± 0.1 | Total | Thor | |
| 58 N | — | 7.67 ± 0.04 | Total | Almén | |
Metrics of categorized pH levels and multiple comparisons of p-values under Kruskal-Wallis test (H2, 102 = 78, P = 0.001). Significant differences after multiple comparisons of p values are denoted as *.
| Factor | Level | Mean | Std. Dev. | Median | ||
|---|---|---|---|---|---|---|
| pH | 2300 | 36 | 7.53 | 0.13 | 7.60 | * |
| 2100 | 36 | 7.79 | 0.15 | 8.02 | * | |
| This study | 30 | 7.99 | 0.06 | 7.80 | * |
Figure 5Allocation of copepod body size, EPR and egg size according PERMANOVA CAP 1 and 2. CAP 1 clearly segregated high (grey color) from low (black) pH effect on copepod traits and performance. Under low pH conditions, CAP 2 separated high (blue) from low (red) Chl effects.
Figure 6Relationships between with autotrophic egg production efficiency (aEPE) and pH (A) and food resources (i.e., Chl) (B). The aEPE is the ratio between the weight-specific EPR/IR.