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Ecological traps in shallow coastal waters—Potential effect of heat-waves in tropical and temperate organisms

Vinagre, Catarina,Mendonça, Vanessa,Cereja, Rui,Abreu-Afonso, Francisca,Dias, Marta,Mizrahi, Damián,Flores, Augusto A. V.

Abstract

Mortality of fish has been reported in tide pools during warm days. That means that tide pools are potential ecological traps for coastal organisms, which happen when environmental changes cause maladaptive habitat selection. Heat-waves are predicted to increase in intensity, duration and frequency, making it relevant to investigate the role of tide pools as traps for coastal organisms. However, heat waves can also lead to acclimatization. If organisms undergo acclimatization prior to being trapped in tide pools, their survival chances may increase. Common tide pool species (46 species in total) were collected at a tropical and a temperate area and their upper thermal limits estimated. They were maintained for 10 days at their mean summer sea surface temperature +3°C, mimicking a heat-wave. Their upper thermal limits were estimated again, after this acclimation period, to calculate each species' acclimation response. The upper thermal limits of the organisms were compared to the temperatures attained by tide pool waters to investigate if 1) tide pools could be considered ecological traps and 2) if the increase in upper thermal limits elicited by the acclimation period could make the organisms less vulnerable to this threat. Tropical tide pools were found to be ecological traps for an important number of common coastal species, given that they can attain temperatures higher than the upper thermal limits of most of those species. Tide pools are not ecological traps in temperate zones. Tropical species have higher thermal limits than temperate species, but lower acclimation response, that does not allow them to survive the maximum habitat temperature of tropical tide pools. This way, tropical coastal organisms seem to be, not only more vulnerable to climate warming per se, but also to an increase in the ecological trap effect of tide pools.

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RESEARCH ARTICLE Ecological traps in shallow coastal waters— Potential effect of heat-waves in tropical and temperate organisms Catarina Vinagre 1 *, Vanessa Mendonc¸a 1 , Rui Cereja 1 , Francisca Abreu-Afonso 1 , Marta Dias 1 , Damia ´n Mizrahi 2 , Augusto A. V. Flores 2 1MARE–Marine and Environmental Sciences Centre, Universidade de Lisboa, Faculdade de Ciências, Campo Grande, Lisboa, Portugal, 2Centro de Biologia Marinha, Universidade de São Paulo, Rod. Manoel Hipo ´lito do Rego, São Sebastião, SP, Brazil *[email protected] Abstract Mortality of fish has been reported in tide pools during warm days. That means that tide pools are potential ecological traps for coastal organisms, which happen when environmental changes cause maladaptive habitat selection. Heat-waves are predicted to increase in intensity, duration and frequency, making it relevant to investigate the role of tide pools as traps for coastal organisms. However, heat waves can also lead to acclimatization. If organisms undergo acclimatization prior to being trapped in tide pools, their survival chances may increase. Common tide pool species (46 species in total) were collected at a tropical and a temperate area and their upper thermal limits estimated. They were maintained for 10 days at their mean summer sea surface temperature +3˚C, mimicking a heat-wave. Their upper thermal limits were estimated again, after this acclimation period, to calculate each species’ acclimation response. The upper thermal limits of the organisms were compared to the temperatures attained by tide pool waters to investigate if 1) tide pools could be considered ecological traps and 2) if the increase in upper thermal limits elicited by the acclimation period could make the organisms less vulnerable to this threat. Tropical tide pools were found to be ecological traps for an important number of common coastal species, given that they can attain temperatures higher than the upper thermal limits of most of those species. Tide pools are not ecological traps in temperate zones. Tropical species have higher thermal limits than temperate species, but lower acclimation response, that does not allow them to survive the maximum habitat temperature of tropical tide pools. This way, tropical coastal organisms seem to be, not only more vulnerable to climate warming per se, but also to an increase in the ecological trap effect of tide pools. Introduction Ecological traps, which happen when environmental changes cause maladaptive habitat selection, have been identified for many species, in diverse ecosystems, most of them terrestrial [1– PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 1 / 17 a1111111111 a1111111111 a1111111111 a1111111111 a1111111111 OPEN ACCESS Citation: Vinagre C, Mendonc¸a V, Cereja R, AbreuAfonso F, Dias M, Mizrahi D, et al. (2018) Ecological traps in shallow coastal waters— Potential effect of heat-waves in tropical and temperate organisms. PLoS ONE 13(2): e0192700. https://doi.org/10.1371/journal.pone.0192700 Editor: Daniel E. Naya, Universidad de la Republica Uruguay, URUGUAY Received: July 3, 2017 Accepted: January 29, 2018 Published: February 8, 2018 Copyright: ©2018 Vinagre et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper. Funding: This study had the support of the Portuguese Foundation for Science and Technology through the WarmingWebs project, PTDC/MAR-EST/2141/2012, the “Investigador FCT” position granted to C. Vinagre and the strategic project UID/MAR/04292/2013 granted to MARE. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. 3]. They are likely to increase local extinction risk, thus understanding where they may occur and what species will be affected is important for conservation biology. Global warming has the potential to dramatically change environments worldwide. These changes should occur at rapid rates exposing animals to conditions they have not experienced in their evolutionary history. Shallow coastal waters are among the habitats where the impacts of climate warming will be apparent more rapidly, making these areas useful natural laboratories, not only for the study of community dynamics as they traditionally have been, but also for climate change research [4– 11]. Their low depth means that they have a lower thermal inertia than open-ocean waters, and that their thermal regime is affected by both oceanographic and atmospheric conditions. In fact, such habitats have been considered early warning systems for climate change impacts [4]. These shallow coastal waters are among the most productive ecosystems in the world and provide shelter and nursery grounds to many species, including important commercial species of fish, crustaceans and cephalopods [12–14]. Among shallow-water habitats, tide pools are probably the best sentinels to assess the impacts of global warming on marine assemblages. Tide pools add important niche space to coastal habitats and commonly host diverse biological communities [15]. They often support important macroalgal canopy [16,17] that creates a tridimensional environment with abundant shelter and food resources for small organisms that are in turn prey to secondary consumers [18,19]. While using the tide pool environment, however, small invertebrates and fish find refuge from most predators, since low depth excludes large consumers. Due to these favourable conditions, tide pools are often nursery areas for larvae and juveniles of marine fish and shrimp [20–22]. However, these small water bodies have much lower thermal inertia than surrounding nearshore waters, occasionally attaining exceedingly high temperatures, mostly during summer ebb-tide periods and especially in higher tide pools [23]. Very fast variation of air temperature can lead to lethal conditions and may result in mass mortality of many different species, as repeatedly observed in tropical shores [23–25]. Natural selection of behavioral and other physiological traits may not catch up with the ongoing trend of increased warming, leading to maladaptive selection of tide-pool habitats [26–29]. This scenario is consistent to the ecological trap concept, initially coined for maladaptive nesting bird strategies [1], and verified for a wide range of taxa [2,3], including the well-known case of insect attraction to polarized light causing death upon contact [2]. Heat-waves occur when the daily maximum temperature of more than five consecutive days exceeds the average maximum temperature by 5˚C (the average maximum being estimated for the period 1961–1990). They are predicted to increase in intensity, duration and frequency as a consequence of climate change. However, most studies on the effects of warming on living organisms focus on mean temperatures and fail to address the potential impacts of the predicted change in the severity and the temporal occurrence of heat waves [30]. Since tide pool waters are very sensitive to heat waves, it becomes important to study the role of tide pools as ecological traps. If heat-wave induced mortality events are already observed at tide pools [24,25], it is reasonable to assume they will become more frequent in the future due to climate warming. However, heat waves can also lead to acclimatization of the upper thermal limits of tide pool dwellers. If organisms undergo acclimatization prior to being trapped in tide pools, their survival chances may increase. Also relevant is the ongoing debate on whether tropical species are more vulnerable to climate warming than temperate species. This has important implications for conservation priorities at a global scale. The rate of climate warming is predicted to be lower in the tropics than in temperate zones [31,32]. However, species that evolved in more thermally stable environments, like the tropics, may suffer disproportionately from small increases in temperature, Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 2 / 17 Competing interests: The authors have declared that no competing interests exist. while species that live in strongly seasonal environments, like temperate zones, prone to wider temperature variation, may tolerate greater temperature shifts [33–36]. This way, tropical organisms would be more vulnerable to future warming than their temperate counterparts [33]. Although tolerating higher temperatures, tropical species exhibit lowest thermal plasticity, as predicted by the “trade-off hypothesis” [37–39]. Moreover, several studies have shown that more tolerant species are actually living closer to their upper thermal limits [23,40,41]. Thermal vulnerability will ultimately depend on the organisms’ thermal window, acclimation response and genetic adaptation potential [42], which remain unknown for most species. Evaluating the effects of heat waves on tropical and temperate species, particularly on whether warming episodes elicit an increase of their thermal limits, and by how much, is a critical task for a more realistic assessment of the impact of global warming on coastal marine organisms. In the present work, we set out to test if an increase in temperature, consistent with that attained by subtidal waters during heat waves (10 days at +3˚C = “heat wave experiment”) [43, 44] can elicit an increase in the upper thermal limits of tropical and temperate coastal organisms. We aimed to test realistic temperatures and we used a dynamic method, the critical thermal maximum, which mimics the natural thermal ramp that occurs in tide pools in summer [23], to determine the upper thermal limits of these organisms, before and after the “heat wave experiment”. Finally, we compared the temperatures attained at natural tide pools and the upper thermal limits of the organisms tested to verify if (1) tide pools could be considered ecological traps, and whether (2) the increase in upper thermal limits elicited by the “heat wave experiment” could acclimate tested organisms, reducing their vulnerability to further heat stress. The effects of region (tropical vs temperate) and taxonomic group (mollusks, crustaceans and fish) on the acclimation response, and both the average and the among-individual variation of upper thermal limits (respectively indicating tolerance and potential for local selection), were tested. Material and methods The authors declare that the experiments followed the Portuguese and Brazilian legislation for animal experimentation. Ethics committees in Portugal and Brazil specifically authorized this experiment. Authorization document 0421/000/000/2013 from the Portuguese authorities (DGAV) and 13.1.981.53.7 from the Brazilian authorities (CEUA, USP—Ribeirão Preto). Study areas Mollusks, crustaceans and fish were collected in a tropical and a temperate coastal area, in Southeastern Brazil (São Sebastião–Ubatuba, São Paulo State) and Central Portugal Portugal (Cascais–Avencas), respectively, in the summer of 2015. Two sites, distanced approximately 70 km, were chosen in each area for the sampling of organisms (23 o 49’S; 45 o 25’W and 23˚27’S; 45˚03’W in Brazil and 38 o 410N; 9 o 210W and 38˚ 26’N; 8˚50’W in Portugal). Tides are semidiurnal in both areas. All the tide pools selected for this study (seven pools in each area) were located in the lower intertidal, where a higher diversity of species occurs. Similarly sized pools were selected, with a mean depth of 0.3 m and a maximum depth of 0.5 m. All species examined in this study make extensive use of lower tide pools. In order to assess whether or not tide-pools may act as ecological traps in the sampled regions, temperature datasets obtained using Onset Hobo V2 and Maxim iButtons probes deployed at the bottom of random tide pools during the summer of 2014 and 2015 at Cascais-Avencas (summer 2014, 2015, Central Portugal), and during the summer of 2016 at Calhetas (São Sebastião, Brazil), were examined. First, we compared equivalent datasets at specific periods from just a few days before (3–6 d) to the end of the warmest season in central Portugal (maximum daily averages over 26˚C, Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 3 / 17 from June 19 to September 22) and the warmest season in São Paulo, Brazil (over 27˚C, from January 3 to March 20), according to historical data (weatherspark.com). Then we compiled all available data for a more precise estimation of extreme temperature percentiles (P 99.5 , P 99.0, P95 ), which unlike maximum temperature records are not affected by sample size (Fig 1). Species tested In total 46 coastal species were tested, 23 tropical species and 23 temperate species. Both transient and resident species were tested. The tropical species studied were the mollusks Lottia subrugosa (d’Orbigny, 1846), Morula nodulosa (C.B. Adams, 1845), Echinolittorina lineolata (d’Orbigny, 1840), Stramonita haemastoma (Linnaeus, 1767), Strombus pugilis Linnaeus, 1758, Tegula viridula (Gmelin, 1791); the crustaceans Callinectes danae Smith, 1869, Clibanarius antillensis Stimpson, 1859, Epialtus brasiliensis Dana, 1852, Eriphia gonagra (Fabricius, 1781), Eurypanopeus abbreviatus (Stimpson 1860), Menippe nodifrons Stimpson 1859, Microphrys bicornutus (Latreille, 1825), Pachygrapsus transversus (Gibbes 1850), Pagurus brevidactylus (Stimpson, 1859), Palaemon northropi (Rankin 1898), Panopeus americanus Saussure, 1857; and the teleost fish Abudefduf saxatilis (Linnaeus, 1758), Bathygobius soporator (Valenciennes 1837), Diplodus argenteus (Valenciennes, 1830), Eucinostomus melanopterus (Bleeker 1863), Odontesthes argentinensis (Valenciennes, 1835) and Scartella cristata (Linnaeus 1758). The temperate species studied were the mollusks Acanthochitona crinita (Pennant, 1777), Calliostoma zizyphinum (Linnaeus, 1758), Cerithium vulgatum Bruguière, 1792, Gibbula umbilicalis (da Costa, 1778), Lepidochitona cinerea (Linnaeus, 1767), Melarhaphe neritoides (Linnaeus, 1758), Nassarius reticulatus (Linnaeus, 1758), Ocenebra erinaceus (Linnaeus, 1758), Phorcus lineatus (da Costa, 1778), Mytilus galloprovincialis Lamarck, 1819; the crustaceans Pagurus prideaux Leach, 1815, Pagurus bernhardus (Linnaeus, 1758), Palaemon elegans (Rathke 1837), Palaemon serratus (Pennant 1777), Pirimela denticulata (Montagu, 1808), Lophozozymus incisus (Milne-Edwards 1834); and the teleost fish Coryphoblennius galerita (Linnaeus, 1758), Diplodus sargus (Linnaeus, 1758), Gobius paganellus Linnaeus, 1758, Lepadogaster lepadogaster (Bonnaterre, 1788), Lipophrys pholis (Linnaeus, 1758), Pomatoschistus microps (Krøyer 1838) and Syngnathus acus Linnaeus, 1758. Acclimation conditions and critical thermal maxima The organisms were collected in tide pools, by hand or with hand-nets, and transported to the laboratory. They were kept in closed-system aquaria with constant temperature, aerated sea water and salinity of 35‰. The dissolved O 2 level varied between 95% and 100%. Each individual aquarium was 25 x 25 x 25 cm. The individuals of each species were randomly placed in two aquaria, species were separated to avoid the additional stress of inter-species agonistic relations and/or predator-prey behavior. Organisms were fed daily ad libitum and starved for 24h prior to temperature trials. Fish, crabs and shrimp were fed with frozen shrimp muscle and commercial fish pellets (commercial brand Continente, Portugal). Omnivorous and herbivorous mollusks were given natural rocks covered with the macroalgae Ulva sp. and commercial fish pellets. Organisms were kept for seven days at the same temperature as the habitat temperature found in the natural environment at the time of capture, 29.0˚C (±0.5˚C) for tropical organisms and 22.0˚C (±0.5˚C) for temperate ones, to ensure that all had a similar recent thermal history and minimal thermal disturbance. At the end of this 7-day period, the critical thermal maximum (CTMax) was determined for a subset of these organisms to determine control values of CTMax (CTMax control ). Afterwards, organisms were acclimated for 10 days at 3˚C above the acclimation temperature, 32˚C for tropical organisms and 25˚C for temperate ones, mimicking a heat wave period Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 4 / 17 Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 5 / 17 in nature [43,44]. At the end of this 10 day-period, CTMax was estimated for another subset of individuals of each species (CTMax 10 days ). Although the experiment was sequential, different organisms of each species were tested in each CTMax trial, i.e. no organism was exposed to more than one CTMax trial (all individuals that were subjected to a CTMax trial were excluded from the remaining experiment). The CTMax method is a widely used dynamic method of quantifying the upper thermal limits of ectothermic vertebrates and invertebrates [23,45–49]. It is determined by exposing the organisms to a constant thermal ramp until a critical point is reached (e.g. loss of balance [50–52]). [46] defined CTMax as the “arithmetic mean of the collective thermal points at which the end-point is reached”, the end-point being loss of equilibrium. In shrimp and fish, loss of equilibrium was defined as the point when individuals could not swim straight and started moving in an angled position. Crabs were forced upside down with tweezers, and an end-point was recorded if they were unable to get back upright. These criteria are the same followed by [53] and [23,54]. Gastropods were placed in a transparent container and allowed to attach to its walls and move around, inactive specimens were discarded [55]. Every 10 min, containers were tipped over to identify which organisms could remain attached and which had reached CTMax, by losing their attachment [56]. Bivalves were continuously observed and CTMax was determined when they opened their valves and relaxed their foot muscle, simultaneously. All organisms were subjected to a thermostatic bath with a constant rate of water-temperature increase of 1˚C/15 min, with constant aeration and observation, until they reached the end-point. This temperature ramp is consistent to what can be found in tide pools during summer days, following the recommendations of [57] for the use of ecologically realistic warming ramps. The experiments were carried out in shaded day light (14 L; 10D). The temperature at which each animal reached its end-point was measured with a digital thermometer and registered. The total length of all individuals was measured at the end of the CTMax experiment (Table 1). Fish were measured with an ichthyometer (total length) and shrimps (total length), crabs (maximum carapace width) and mollusks (maximum shell length) with a digital slide caliper. Sample sizes were similar to those used by [46], [53] and [23,54] (Table 1). Data analyses CTMax. The upper thermal limits for each species were calculated using the equation: CTMaxðspeciesÞ¼PðTendpoint nÞ=n Where T end-point is the temperature at which the end-point was reached for any given individual, and n stands for sample size. To estimate intraspecific variability of the CTMax, the 95% confidence interval was estimated for each species. Acclimation response The acclimation response was defined as the difference between the CTMax after warming (CTMax 10days ) and the CTMax registered after the control period (CTMax control ). Fig 1. Overall temperature frequency distributions at tide-pools continuously monitored at Avencas (Portugal) and Calhetas (Brazil) during summer. Data from Avencas was obtained from six replicate pools; two sampled at 15 min intervals in 2014 over 4 d and four sampled hourly in 2015 over 2d. Data from Calhetas was obtained from six replicate pools sampled continuously over 56 d at 2 h intervals during the summer of 2015/6. https://doi.org/10.1371/journal.pone.0192700.g001 Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 6 / 17 Table 1. Taxonomic group, sample size and mean length of the individuals used to estimate the CTMax control and the CTMax 10 days . CTMax control CTMax 10 days Taxonomic group Sample size Length (mm) s.d. Sample size Length (mm) s.d. Tropical species Lottia subrugosa Mollusca 19 13.4 3.2 20 13.0 1.9 Morula nodulosa Mollusca 29 16.0 2.9 21 17.8 1.8 Echinolittorina lineolata Mollusca 15 3.8 0.9 14 3.9 0.9 Stramonita haemastoma Mollusca 10 31.4 8.3 15 28.7 6.3 Strombus pugilis Mollusca 13 62.8 16.2 5 72.2 2.2 Tegula viridula Mollusca 15 23.1 1.1 10 21.2 2.3 Callinectes danae Crustacea 9 36.8 19.2 10 58.1 8.5 Clibanarius antillensis Crustacea 16 25.4 5.6 7 29.1 6.5 Epialtus brasiliensis Crustacea 15 5.3 1.1 19 5.1 0.8 Eriphia gonagra Crustacea 7 28.1 2.7 7 31.8 6.2 Eurypanopeus abbreviatus Crustacea 64 15.3 2.9 70 17.5 3.9 Menippe nodifrons Crustacea 39 24.9 7.6 48 22.0 7.1 Microphrys bicornutus Crustacea 5 13.6 4.2 6 6.0 1.4 Pachygrapsus transversus Crustacea 32 10.8 3.9 33 13.7 4.3 Pagurus brevidactylus Crustacea 12 18.4 4.8 10 15.7 2.7 Palaemon northropi Crustacea 55 24.7 7.6 57 25.2 4.6 Panopeus americanus Crustacea 17 7.8 2.3 12 8.3 1.3 Abudefduf saxatilis Fish 16 22.1 5.6 15 23.8 2.9 Bathygobius soporator Fish 14 36.1 15.4 19 31.0 11.9 Diplodus argenteus Fish 7 44.1 8.4 12 45.5 11.3 Eucinostomus melanopterus Fish 12 30.3 8.6 7 29.8 6.3 Odontesthes argentinensis Fish 11 35.2 12.0 7 45.5 12.0 Scartella cristata Fish 25 41.7 11.5 19 42.2 16.9 Temperate species Acantochitona crinita Mollusca 7 9.1 1.7 5 13.0 2.4 Calliostoma zizyphinum Mollusca 6 16.2 3.9 9 13.0 1.8 Cerithium vulgatum Mollusca 9 35.0 3.8 9 34.6 4.4 Gibbula umbilicalis Mollusca 10 11.7 2.6 6 10.8 1.0 Lepidochitona cinerea Mollusca 10 10.0 2.8 12 7.8 2.0 Melarhaphe neritoides Mollusca 34 3.2 0.7 23 3.3 0.6 Nassarius reticulatus Mollusca 20 19.6 3.1 25 17.3 4.4 Ocenebra erinaceus Mollusca 10 24.2 2.7 13 23.8 2.9 Phorcus lineatus Mollusca 19 14.2 2.4 17 12.4 1.7 Mytilus galloprovincialis Mollusca 92 19.5 6.1 85 21.2 5.2 Pagurus prideaux Crustacea 11 26.6 8.3 18 25.8 6.3 Pagurus bernhardus Crustacea 5 21.0 5.6 7 22.8 8.0 Palaemon elegans Crustacea 37 27.0 7.6 37 26.9 5.7 Palaemon serratus Crustacea 26 30.8 9.0 41 34.1 11.4 Pirimela denticulata Crustacea 5 15.2 1.6 5 15.6 1.2 Lophozozymus incisus Crustacea 11 22.2 7.2 10 17.9 3.5 Coryphoblennius galerita Fish 22 23.9 4.6 27 27.5 7.1 Diplodus sargus Fish 10 44.8 11.2 14 39.1 8.7 Gobius paganellus Fish 10 42.6 8.0 12 45.9 9.3 Lepadogaster lepadogaster Fish 10 61.7 16.2 19 57.4 11.4 Lipophrys pholis Fish 9 52.8 9.3 7 42.4 6.8 (Continued) Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 7 / 17 Statistical analyses T-tests were conducted to investigate if CTMax control values were different from the CTMax 10days values for each species. Factorial analyses of variance (ANOVA) were conducted to test the effect of region (tropical vs temperate) and taxonomic group (Mollusca vs Crustacea vs Teleostea) in CTMax control , acclimation response and 95% confidence interval (of the CTMax control ), using estimates measured of each species as replicates. The effect of tide pool was also tested in a similar way. Prior to these tests, normality and homoscedasticity were confirmed. The phylogenetic independent contrasts method was used in a linear-regression analysis between CTMax -control and acclimation response to test the “trade-off” hypothesis. Tests were performed using the software COMPARE, version 4.6b [58], including a nested, hierarchical random term representing taxonomic affinities of the taxa (phylum/class/order/family/genus/ spp) to account for non-independence of data, since no phylogenetic tree is available for all taxa included in this study. Results The highest CTMax control was that of the tropical mollusk S.haemastoma, 41.90˚C, while the highest CTMax control for temperate species was that of the mollusk M.galloprovincialis, 40.74˚C (Fig 2). The mean CTMax control for tropical species was 39.86˚C, while for temperate species it was 33.48˚C (Fig 3). The tropical species with the lowest CTMax control , 36.61˚C, was the fish D.argenteus, while the lowest CTMax control of temperate species was 30.24˚C for the mollusk N.reticulatus (Fig 2). The tropical species with the highest acclimation response, 1.40˚C, was D.argenteus, while the temperate species with the highest acclimation response, 3.35˚C, was N.reticulatus, meaning that the species with the lowest CTMax control were the ones with the highest acclimation response, both for tropical and temperate species (Figs 2and 4). Of the 23 tropical species tested, 13 could not acclimate, while for the 23 temperate species tested, only 5 did not acclimate (Figs 5and 6). The mean acclimation response of the tropical species was 0.38˚C, while for the temperate species it was 1.47˚C (Figs 4and 5). The mean 95% confidence interval of the CTMax control values was 0.5 for tropical organisms and 0.8 for temperates organisms (Fig 4). A negative significant correlation was found between acclimation response and CTMax control , with acclimation response decreasing with increasing CTMax control (r 2 = 0.42, P <0.05). The effect of region (tropical vs temperate) was significant for CTMax control , 95% confidence interval and acclimation response (Table 2). The effect of taxonomic group (Mollusca vs Crustacea vs Teleostei) was not significant for any of the variables tested (Table 2). The effect of tide pool was not significant (p >0.01). Among tropical species, only 3 out of 23 species presented a CTMax control above the maximum habitat temperature (MHT = 41.5˚C) and only 2 species had a CTMax 10days above MHT, rendering tide pool as effective ecological traps in the tropics when temperature reaches MHT Table 1. (Continued) CTMax control CTMax 10 days Taxonomic group Sample size Length (mm) s.d. Sample size Length (mm) s.d. Pomatoschistus microps Fish 16 28.4 3.1 18 27.7 3.4 Syngnathus acus Fish 6 106.0 11.6 5 70.0 33.6 s.d. stands for standard deviation. https://doi.org/10.1371/journal.pone.0192700.t001 Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 8 / 17 (Fig 2). This was remarkably different for temperate species since 21 out of the 23 species tested presented a CTMax control above MHT (30.6˚C) and all species had a CTMax 10days above MHT (Fig 2). When the percentile 99.5 of water temperature is used as a reference, 21 out of Fig 2. Critical thermal maximum (CTMax) of the control (CTMax control ), in green dots, and after 10 days at a +3˚C temperature (CTMax 10 days ), in orange dots, for each species. Tropical species are presented in the red background area, while temperate species are presented in the blue background area. The red dotted line indicates the highest recorded water temperature in tropical (41.5˚C) and temperate (30.6˚C) tide pools. The orange dotted line indicates the percentile 99.5 of water temperature in tropical (37.9˚C) and temperate (29.0˚C) tide pools (Fig 1). https://doi.org/10.1371/journal.pone.0192700.g002 Fig 3. Distribution of the values of CTMax control of tropical and temperate organisms. https://doi.org/10.1371/journal.pone.0192700.g003 Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 9 / 17 37. Chown SL. Physiological variation in insects: hierarchical levels and implications. J Insect Physiol. 2001; 47: 649–660. PMID: 11356411 38. Overgaard J, Kristensen TN, Mitchell KA, Hoffmann AA. Thermal tolerance in widespread and tropical Drosophila species: does phenotypic plasticity increase with latitude? Am Natural. 2011; 178: S80– S96. 39. Gunderson AR, Stillman JH. Plasticity in thermal tolerance has limited potential to buffer ectotherms from global warming. Proc Royal Soc B. 2015; 282: 1471–2954. 40. Somero GN. Comparative physiology: a “crystal ball” for predicting consequences of global change. Am J Physiol. 2011; 301: R1–R14. 41. Jost JA, Podolski SM, Frederich M. Enhancing thermal tolerance by eliminating the pejus range: a comparative study with three decapod crustaceans. Mar Ecol Progr Ser. 2012; 444: 263–274. 42. Stillman JH. Acclimation Capacity Underlies Susceptibility to Climate Change. Science. 2003; 301, 65. https://doi.org/10.1126/science.1083073 PMID: 12843385 43. Garrabou J, Coma R, Bensoussan N, Bally M, Chevaldonne ´P, Cigliano M, Diaz D, Harmelin JG, Gambi MC, Kersting DK, Ledoux JB, Lejeusne C, Linares C, Marschal C, Pe ´rez T, Ribes M, Romano JC, Serrano E, Teixido N, Torrents O, Zabala M, Zuberer F Cerrano C. Mass mortality in Northwestern Mediterranean rocky benthic communities: effects of the 2003 heat wave. Global Change Biology. 2009. 15; 1090–1103. 44. Meehl GA et al Global climate projections.–In: SolomonS. et al. (eds), Climate change 2007: the physical science basis. Contribution of Working Group I to the 4th Assessment Rep. of the Intergovernmental Panel on Climate Change. Cambridge Univ. Press. 2007; pp. 747–845. 45. Cuculescu M, Hyde D, Bowler K. Thermal Tolerance of Two Species of Marine Crab, Cancer pagurus and Carcinus maenas. J Thermal Biol. 1998; 23: 107–110. 46. Mora C, Ospina A. Tolerance to high temperatures and potential impact of sea warming on reef fishes of Gorgona Island (tropical eastern Pacific). Mar Biol. 2001; 139: 765–769. 47. Salas A, Dı ´az F, Re AD, Glindosanchez CE, Sanchez-Castrejon E, Gonza ´lez M, et al. Preferred Temperature, Thermal Tolerance, and Metabolic Response of Tegula regina (Stearns, 1892). J Shellfish Res. 2014; 33: 239–246. 48. Kaspari M, Clay NA, Lucas J, Yanoviak SP, Kay A. Thermal adaptation generates a diversity of thermal limits in a rainforest ant community. Glob Change Biol. 2015; 21: 1092:1102. 49. Regil JN, Mascaro M, Dı ´az F, Re AD, Sa ´nchez-Zamora A, Caamal-Monsreal C, et al. Thermal biology of prey (Melongena corona bispinosa,Strombus pugilis,Callinectes similis,Libinia dubia) and predators (Ocyurus chrysurus,Centropomus undecimalis) of Octopus maya from the Yucatan Peninsula. J Thermal Biol. 2015; 53: 151–161. 50. Brattstrom BH. Thermal acclimation in Anuran amphibians as a function of latitude and altitude. Comp Biochem Phys. 1968; 24: 93–111. 51. Huey RB, Crill WD, Kingsolver JG, Weber KE. A method for rapid measurement of heat or cold resistance of small insects. Func Ecol. 1992; 6: 489–494. 52. Lutterschmidt W.I. and Hutchison V.H., 1997. The critical thermal maximum: history and critique. Can J Zool. 1997; 75: 1561–1574. 53. Madeira D, Narciso L, Cabral H, Vinagre C. Thermal tolerance and potential impacts of climate change on coastal and estuarine organisms. J Sea Res. 2012; 70: 32–41. 54. Vinagre C, Dias M, Roma J, Silva A, Madeira D, Diniz M. Critical thermal maxima of common rocky intertidal fish and shrimps–a preliminary assessment. J Sea Res. 2013; 81: 10–12. 55. Clarke AP. The nature of heat coma in Littorina littorea (Mollusca: Gastropoda). Mar Biol. 2000; 137: 447–451. 56. Sorte CJB, Hofmann GE. Thermotolerance and heat-shock protein expression in Northeastern Pacific Nucella species with different biogeographical ranges. Mar Biol. 2005; 146: 985–993. 57. Vinagre C, Leal I, Mendonc¸a V, Flores AV. Effect of warming rates on the Critical Thermal Maxima of fish, crabs and shrimp. J Thermal Biol. 2015b; 47: 19–25. 58. Martins E P. COMPARE, version 4.6b. 2004. Computer programs for the statistical analysis of comparative data. Distributed by the author at http://compare.bio.indiana.edu/. Department of Biology, Indiana University, Bloomington IN. 59. Ghalambor CK. Are mountain passes higher in the tropics? Integr Comp Biol. 2006; 46: 5–17. https:// doi.org/10.1093/icb/icj003 PMID: 21672718 60. Angilletta MJ, Wilson RS, Navas CA, James RS. Tradeoffs and the evolution of thermal reaction norms. Trends Ecol Evol. 2003; 18: 234–240. Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 16 / 17 61. Deutsch CA, Tewsbury JJ, Huey RB, Sheldon KS, Ghalambor CK, Haak DC, et al. Impacts of climate warming on terrestrial ectotherms across latitude. Proc Nat Acad Sci USA. 2008; 105: 6668–6672. https://doi.org/10.1073/pnas.0709472105 PMID: 18458348 62. Diederich CM, Pechenik JA. Thermal tolerance of Crepidula fornicata (Gastropoda) life history stages from intertidal and subtidal subpopulations. Mar Ecol Progr Ser. 2013; 486: 173–187. 63. Overgaard J, Kearney MR, Hoffmann AA. Sensitivity to thermal extremes in Australian Drosophila implies similar impacts of climate change on the distribution of widespread and tropical species. Glob Change Biol. 2014; 20: 1738–1750. 64. Duarte H, Tejedo M, Katzenberger M. Can amphibians take the heat? Vulnerability to climate warming in subtropical and temperate larval amphibian communities. Glob Change Biol. 2012; 18: 412–421. 65. Po ¨rtner HO. Climate change and temperature dependent biogeography: systemic to molecular hierarchies of thermal tolerance in animals. Comp Biochem Physiol A. 2002; 132: 739–761. 66. Po¨rtner HO. Climate change and temperature dependent biogeography: oxygen limitation of thermal tolerance in animals. Naturwissenschaft. 2001; 88: 137–146. 67. Po ¨rtner HO, Knust R. Climate change affects marine fishes through the oxygen limitation of thermal tolerance. Science. 2007; 315: 95–97. https://doi.org/10.1126/science.1135471 PMID: 17204649 68. Brown JH, Gillooly JF, Allen AP, Savage VM, West GB. Towards a metabolic theory of ecology. Ecology. 2004; 85: 1771–1789. 69. Glazier DS. A unifying explanation for diverse metabolic scaling in animals and plants. Biol Rev. 2010; 85: 111–13. https://doi.org/10.1111/j.1469-185X.2009.00095.x PMID: 19895606 70. Vucic-Pestic O, Ehnes R, Rall BC, Brose U. Warming up the system: higher predator feeding rates but lower energetic efficiencies. Glob Change Biol. 2011; 17: 1301–1310. 71. Donelson JM, Munday PL, Mccormick MI, Nilsson GE. Acclimation to predicted ocean warming through developmental plasticity in a tropical reef fish. Glob Change Biol. 2012; 17: 1712–1719. Ecological traps in shallow coastal waters PLOS ONE | https://doi.org/10.1371/journal.pone.0192700 February 8, 2018 17 / 17