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Article

Lionfish Diet Composition at Three Study Sites in the Aegean Sea: An Invasive Generalist?

by
Ioannis E. Batjakas
1,*,
Athanasios Evangelopoulos
2,
Maria Giannou
1,
Sofia Pappou
1,
Eleftheria Papanikola
1,
Maria Atsikvasi
1,
Dimitris Poursanidis
3 and
Chrysoula Gubili
2,*
1
Department of Marine Sciences, University of Aegean, University Hill, Lesvos Island, 81100 Mytilene, Greece
2
Hellenic Agricultural Organisation—DIMITRA, Fisheries Research Institute, Nea Peramos, 64007 Kavala, Greece
3
Foundation for Research and Technology-Hellas (FORTH), Institute of Applied and Computational Mathematics, Remote Sensing Lab, 70013 Heraklion, Greece
*
Authors to whom correspondence should be addressed.
Fishes 2023, 8(6), 314; https://doi.org/10.3390/fishes8060314
Submission received: 11 May 2023 / Revised: 2 June 2023 / Accepted: 8 June 2023 / Published: 13 June 2023
(This article belongs to the Special Issue Advances in Ecology and Management of Aquatic Invasive Species)

Abstract

:
The diet of the lionfish (Pterois miles), an invasive species in the Aegean Sea, was examined by collecting stomach content data from fish collected in three study sites in the Aegean Sea (southern Crete, Kastellorizo, and Nysiros islands). Prey composition in terms of numerical abundance and frequency of occurrence was used to compare lionfish’s diet between these sites. Lionfish largely preyed upon teleosts (4% to 83% numerical abundance and 16% to 58% frequency of occurrence, depending on the site) and decapods (12% to 95% numerical abundance and 11% to 81% frequency of occurrence). The most important teleost families in lionfish’s diet were Gobiidae, Labridae, and Scorpaenidae, while decapods and especially the family Scyllaridae and the genus Plesionika were the dominant decapod prey items. The lionfish was found to be an especially successful generalist across the study sites, an opportunistic, predatory species overall, and at the same time, at a local level, it seems to be an equally successful specialist that could increase the predation mortality of already stressed prey populations and can be a serious threat to endemic, critically endangered, and/or commercially important species.
Key Contribution: This study provides first-time insights into lionfish diet composition in three study sites in the Aegean Sea and highlights the specialist behavior of an especially successful generalist at a local level.

1. Introduction

The Mediterranean Sea has become a hotspot for alien species, with an increase in established taxa of 40% in the last decade, with approximately 1000 non-indigenous species being recorded till the end of 2021 [1]. Amongst them, fish (in total 173 species) is the group that attracted the highest attention as their settlement has raised serious concerns due to their rapid range expansion [2,3]. The successful establishment into their newly invaded ecosystems could be attributed to the multiple vectors of introduction such as increased marine traffic, enlargement of the Suez Canal, the shifts in abiotic factors (e.g., habitat quality and climate) [4], and their generalist nature [5,6], which has fundamental effects on local food web dynamics [7,8]. The invasive lionfish Pterois miles (Bennett 1828) is one of the most successful invaders [9], with increased predation rates on native fauna, resulting in altered community structure [10,11,12,13,14,15,16]. Its presence can reduce the recruitment of native species, drives declines in populations [14,17], and subsequently has serious implications on marine ecosystem functioning [18].
Since the first documented appearance of Pterois miles in the Mediterranean Sea in 1991 [19], the species has been extremely successful in establishing populations in new marine ecosystems [20]. Its range is constantly updated in the Mediterranean Sea [21,22], confirming its successful introduction and progressive invasion of the basin. Currently, it is established in the Levantine Sea, in the southern and central Aegean Sea, and in the Greek Ionian Sea, whereas few individuals have been recorded from Tunisia and southern Sicily (Italy) [22]. It reached the Mediterranean Sea through the Suez Cana [19]; however, the introduction pathway to the western Atlantic remains unknown [23]. It was first recorded off Florida in 1985 [12], with exponentially growing populations along the newly colonizing areas of the western Atlantic and the Caribbean region (more than 7.3 million km2). Moreover, a combination of the biological characteristics of the species, such as early maturation and reproduction [12], promotes its range expansion, which has not been interrupted by eradication programs [21]. Its population dramatic increases could be also attributed to its predatory behavior, whereas both native predators and prey are not prepared to face the versatile ecology of the species as seen in both the Mediterranean Sea and the western Atlantic Ocean [12]. Particularly, lionfish diet composition has exhibited a large variability among different locations [24], rendering important location-based diet assessments to better inform local management regimes.
The species exhibits an opportunistic, generalist feeding behavior, whose diet habits are directly connected to prey availability [25,26]. Differences in diet have been reported in the Mediterranean basin, where sampling (spear gun, boat-seining, long lines, and video recordings) and identification approaches (macroscopic examination and visual-video records) revealed that various fish species were among its main prey in Rhodes Island [27], whereas fish or benthic invertebrates were found in stomachs from Cyprus [28,29]. Given that regional differences in its diet are already confirmed, identification of new prey species should be expected with the investigation of its trophic preferences across its invaded geographic range. Therefore, new studies are required to evaluate lionfish diet habits and their effects as a predator of the native fauna. This study aims to provide first-time insights into lionfish diet composition in three study sites in the Aegean Sea (southern Crete, Kastellorizo, and Nysiros islands) and verify the species’ generalist strategy as a consumer across sites and individuals.

2. Materials and Methods

2.1. Ethics Statement

No ethical approval was required for fish provided by local fishermen dead.

2.2. Sample Collection

Individuals of P. miles were collected between November 2021 to September 2022 from three areas in Greece (southern Crete, Kastellorizo, and Nisyros Islands; Figure 1). All fish were caught as bycatch on nets by local fishermen at depths ranging from 10–20 m. Samples were preserved at −20 °C until further processing. Specimens were measured in length (TL) and weighed to the nearest 0.1 cm and 0.01 g, respectively. The sex of each specimen was determined, and individuals were grouped into three categories (female, male, and unknown). Individuals were also grouped into two size classes, small and large. TL of 17.5 cm was arbitrarily chosen as a threshold value for the separation of the size classes. This TL value equals the length at maturity (L50) for P. miles females estimated by Morris [30] based on pooled samples from worldwide locations.

2.3. Lab Work

Each individual was dissected, and its stomach was excised, weighed and its state (empty or non-empty) was determined. The contents of non-empty (=“full”) stomachs were removed, weighed with an OHAUS Adventurer precision scale and visually examined in a Petri dish under a stereomicroscope (Olympus SZ65). Prey items were identified to the lowest possible taxonomic level and counted. Hard diagnostic parts (i.e., fish bones, otoliths, shrimp rostra, and molluscan shells) were used for taxa identification. Otolith species identification was based on the otolith atlas [31]. Prey remains of the same taxonomic group were grouped together. Stomachs with unidentifiable material (because of advanced digestion) were excluded from further analysis regarding prey items but were not considered empty. Prey taxa were classified into three broad groups: fish, decapods, and benthic invertebrates (including benthic crustacean taxa except decapods).

2.4. Data Analysis

To evaluate whether the number of fish stomachs examined was adequate for a valid description of the species’ diet, prey accumulation curves [32,33] were computed with the vegan R package [34] for the whole dataset and each study area. The estimated (mean) number of prey groups and associated 95% confidence intervals were plotted against the cumulative number of stomachs examined. Stomach order was randomized as suggested by Ferry and Cailliet [32]. Proportions of empty (vacuity index, VI) and full stomachs were estimated as a percentage of the total number of examined stomachs for each area, sex, and size class. The proportions of empty and full stomachs were tested for significant differences between areas, sexes, and size classes using Pearson’s χ2 test of independence. Feeding intensity was also estimated with the ratio of (wet) food weight to total body weight (in 0/00) (repletion index, RI). RI values were tested for significant differences between areas, sexes, and size classes by means of the Kruskal–Wallis test.
The contribution of each prey taxon i in P. miles diet was estimated with the following methods [35]:
(i)
Frequency of occurrence:
%F = Si × 100/Sf
where %F is the frequency of occurrence of prey taxon i in the analyzed stomachs, Si is the number of stomachs in the analysis containing items of prey taxon i, and Sf is the total number of stomachs in the analysis.
(ii)
Numerical:
%N = ni ×100/Σni
where %N is the relative numerical abundance of prey taxon i, ni is the total number of prey i items, and Σni the total number of all prey items in all stomachs in the analysis.
Visualization of the variations of the relative numerical abundances of prey taxa and groups between areas was carried out using the treemap R package [36].
Non-metric Multi-Dimensional Scaling, nMDS [37], was used to ordinate samples on a 2D plot for the visualization and exploration of the Bray–Curtis similarity matrix, which was calculated based on square root-transformed prey numerical abundance data across all the analyzed stomachs. Permutational multivariate analysis of variance, PERMANOVA [38], was run on the same similarity matrix to test for statistically significant differences in stomach contents composition between areas, sexes, and size classes. All factors were set in the analysis design as fixed, the sums of squares type selected was Type III (partial), the permutation method was a permutation of residuals under a reduced model, and the number of permutations selected was 9999.
The one-way similarity percentage analysis, SIMPER [39], was also run on the similarity matrix to detect the prey taxa responsible for the between-areas dissimilarities (discriminating taxa) and within-area similarities (typifying taxa) regarding the P. miles stomach contents prey composition.
Diet overlap by area, sex, and size class was estimated with the Schoener index, Cxy [40]:
Cxy = 1 − 0.5 × (∑|pxi − pyi|)
where pxi and pyi are the proportions of prey category i (in terms of numerical abundance) in the diet of the species in the area, sex, or class size x and y, respectively. Cxy ranges from 1 (same prey items in the same proportions) to 0 (no common prey items).
The species feeding strategy was graphically depicted using a 2-D representation, where the prey-specific abundance of prey taxon i (Pi) was plotted against its frequency of occurrence (%F) in the stomachs with food contents. This method is a modified Costello graphical analysis [41], and it assesses simultaneously the prey importance, the feeding strategy, and the inter- and intra-individual components of trophic niche width. This information is obtained by the examination of the distribution of the points representing prey categories in the produced plots across the bottom left-top right diagonal (rare vs. dominant prey categories), top-bottom axis (specialization vs. generalization in the diet), and top left-top right axis (specialization at the individual vs. at the population level).
Diet breadth was calculated for each area, sex, and size class using the standardized Levins [42] niche breadth measure [43]:
BA = (Σpi^2 − 1)/(N − 1)
where pi is the relative abundance of prey taxon i, and N is the total number of prey taxa. The values that this index may take range between 0 and 1, with low values indicating a specialist predator and high values a generalist one. Prey taxa with relative abundance values < 3% and unidentifiable remains were excluded from the analysis.
All analyses were performed using the R Statistical Software (v4.2.2; R Core Team 2022) [44], except the NMDS and SIMPER, which were implemented in PRIMER 6.1.18 [45,46] and the PERMANOVA test, which was carried out in PERMANOVA 1.0.8 [47].

3. Results

3.1. Sample Size Adequacy

A total of 141 P. miles individuals were collected from the three areas (Table 1). More than half of them (73) were collected in Crete, whereas similar numbers were gathered from Kastellorizo (31) and Nisyros (37) islands. Most of the individuals were females (55%), while it was not possible to determine the sex of several fish (34%) due to the early developmental stage of the gonads. The two size classes were comparable in the numbers of individuals (S = 68, L = 73). The prey accumulation curves that were computed for each area (Figure 2) revealed upon visual examination that the numbers of stomachs collected were sufficient for Nisyros, less so for Kastellorizo, whereas for Crete the stomachs sample size was apparently not adequate. However, the estimated uncertainty was high in the cases of Nisyros and Kastellorizo.

3.2. Pterois miles Feeding Intensity

Overall, 105 of the collected stomachs had prey items inside, and 36 stomachs were empty (Table 1). Empty stomachs were more numerous in individuals from Nisyros and in males, whereas their numbers were similar between small and large individuals. However, the results of the Pearson’s χ2 test did not reveal significant differences in the VI values between areas, sexes, or size classes at a significance level of 0.05. The Kruskal–Wallis test revealed that only the area had a significant effect on RI (χ2 = 29.561, p = 3.809 × 10−7). The highest mean values of the repletion index were calculated in individuals from Kastellorizo and the lowest in individuals from Nisyros (Table 2).

3.3. Contribution of Prey Taxa to P. miles Diet

Overall, the contributions of fish and decapods were comparable in the diet of the species in the study area (%F = 47 and 37, respectively) and much higher than that of benthic invertebrates (%F = 7, Table 3, Figure 3).
Fish remains, Plesionika edwardsii, Plesionika spp., Scyllaridae, and Scyllarus sp., were the prey items most frequently found in the stomach contents of P. miles (%F ≥ 5). In terms of relative numerical abundance, the contribution of crustaceans (%N = 61) was higher than that of fish (%N = 35), whereas the relative numerical abundance of benthic invertebrates was small (%N = 4, Table 4, Figure 4). Fish remains, Plesionika spp. and Plesionika edwardsii, were numerically the most abundant prey items in the stomach contents of the species (%N ≥ 5).

3.4. Multivariate Analysis of P. miles Diet Composition

Stomach samples from a particular area were, in most cases, clustered together on the nMDS ordination plot, implying differences between areas in P. miles diet composition (Figure 5). No clear separation between groups was discerned on the nMDS plot according to sex or size class. The PERMANOVA main test revealed that the diet composition of the species differed significantly between areas [Pseudo-F = 5.0894, p (perm) = 0.0001]. Moreover, the PERMANOVA pairwise tests showed that P. miles stomach contents differed significantly in composition between Kastellorizo and Nisyros and between Kastellorizo and Crete (t = 2.1535, p (perm) = 0.0005 and t = 3.2464, p (perm) = 0.0001, respectively). However, the difference in P. miles diet composition between Nisyros and Crete was marginally insignificant (PERMANOVA: t = 1.4544, p (perm) = 0.0506). No statistically significant differences in the trophic preferences of the species between sexes or size classes were found.
According to the one-way SIMPER analysis results (Table 5), fish remains were the trophic item that was characteristic of the stomach samples from Nisyros and Crete, whereas, for Kastellorizo, the typifying trophic items were the crustacean taxa Plesionika edwardsii and Plesionika spp. Fish remains were the main discriminating prey item responsible for the Nisyros and Crete samples in terms of diet composition (contributing 37% of their dissimilarity), while several other prey taxa also contributed to the dissimilarity of the two areas, albeit to a lesser degree. Plesionika edwardsii, Plesionika spp., and fish remains cumulatively contributed 75.43% and 69.44% of the dissimilarity in the diet composition of P. miles between Nisyros and Kastellorizo and Crete and Kastellorizo, respectively.

3.5. Pterois miles Diet Overlap between Areas, Sexes, and Size Classes

Pterois miles diet overlap was moderate between Nisyros and Crete (Cxy = 0.46) and very low between Kastellorizo and Nisyros or Crete (Cxy = 0.04 and 0.07, respectively). Moreover, diet overlap was considerable between the sexes (Cxy = 0.67) and between size classes (Cxy = 0.69).

3.6. Pterois miles Feeding Strategy

The modified Costello method results (Figure 6) indicated that across all areas, decapods and fish were more important prey categories than benthic invertebrates. A certain degree of specialization of P. miles in decapods and fish was also identified. Fish was the dominant prey category in the samples from Nisyros. Specialization in fish at the population level and in benthic invertebrates at the individual level was also indicated in the plot for Nisyros. Fish were more important than decapods in the samples from Crete, and benthic invertebrates were the least important prey category. Moreover, the plot for Crete revealed a certain degree of specialization in decapods and fish in that area. Decapods were the dominant prey category of P. miles in the samples from Kastellorizo. The plot also indicated specialization in decapods at the population level.

3.7. Pterois miles Diet Breadth

Levins’ index values indicated a rather large trophic niche breadth in all areas (BA = 0.68–0.85), with the maximum value of the index calculated for Nisyros. Diet breadth was similar between sexes (BA = 44 and 42 for females and males, respectively) and higher in small (BA = 59) than in large individuals (BA = 44).

4. Discussion

The lionfish (P. miles) is a scorpaenid fish endemic in the Red Sea and the Gulf of Aqaba, where it preys on a wide variety of benthic fishes and decapods [48,49]. This study provides a first comparative assessment of its diet composition in three different study areas located in southern Greece (Southern Aegean Sea) and highlights the similarities and differences in its feeding habits. To our knowledge, this is the first study in Greece to describe the species’ diet composition and feeding patterns at a regional scale and to compare them among different areas.
The diet of P. miles was dominated either by fish or by decapods, depending on the area. The contribution of other benthic invertebrate groups in the species’ diet was comparatively low across all areas. At the same time, the lionfish diet composition and the relative contributions of prey varied considerably among study areas. Decapods were by far the primary prey in numerical abundance (95%) and frequency of occurrence (80.65%), followed by fish (4.3% and 16.1%, respectively) in Kastellorizo Island. Conversely, the main prey was fish (82.9% numerical abundance and 51.4% frequency of occurrence, respectively), followed by decapods (12.2% numerical abundance and 10.8% frequency of occurrence, respectively) in Nisyros Island. A similar lionfish prey composition was reported by Morris Jr and Akins [50], who stated that 71.8% numerical abundance and 61.6% frequency of occurrence of the prey species of lionfish in the Bahamas were teleosts and crustaceans. The dominant presence of these taxa as prey items in lionfish’s diet was noted in other studies as well [15,24,27,49,50,51,52,53].
Pterois miles seems to behave as a specialist predator in both sites, targeting specific food items. Almost all 71%F and 83%N of its diet comprised of Plesionika spp. in Kastellorizo Island, whereas on the island of Nisyros, most prey (40.5%F and 63.4%N) were unidentified fish remains, whilst the families Gobidae (5.4%F and 7.3%N) and Labridae (5.4%F and 7.3%N) dominated the identified fish prey (5.4%F and 4.88%N). Additionally, almost all the decapod prey items belonged to caridean shrimp (8.11%F and 9.76%N) in Nisyros Island. Similarly, the diet of P. miles was composed predominantly of bony fish (78.5%N), with the majority of prey belonging to the family Gobidae, followed by Pomacentridae and Labridae in Rhodes Island, southeastern Aegean Sea [27]. Fish prey that belongs to the aforementioned families were also reported in the Caribbean Sea, such as the Mexican Caribbean [51,52], Costa Rica [53], and Puerto Rico [15]. These findings support the hypothesis that lionfish can be dietary specialists [18]. Specialization in diet may largely depend on local prey assemblages’ composition, and thus, it is more likely to be observed locally [18,54].
Fish and decapods were also the main prey categories for the lionfish (%N = 55.3 and 36.8 and %F = 57.5% and 31.5%, respectively) in southern Crete. In this site, the lionfish exhibited a relatively more balanced diet, with one noticeable exception. Interestingly, a large proportion of the decapod prey belonged to the family Scyllaridae (26.3%N out of 36.8%N and 28.8%F out of 42.5%F). The specialist behavior appeared here as well, but to a lesser degree than in Kastellorizo Island. Thus, the lionfish could pose a threat to the endangered Mediterranean slipper lobster species (Scyllaridae), at least at the local level. Native Mediterranean scorpionfish species may prey on slipper lobsters, but only in one study, to our knowledge; S. latus and S. arctus were both listed amongst the prey items of S. scrofa [55].
It is difficult to properly assess the actual fisheries pressure on threatened and/or protected decapods when relying on official data [56,57]. The degree of uncertainty increases in species with limited or no commercial value, such as the slipper lobsters of the genus Scyllarus. The addition of the pressure caused by the lionfish predation, along with the uncertainty level of the fisheries pressure, may further reduce Scyllarus populations.
Native Mediterranean fish species of the Scorpanidae family exhibit several ecological similarities with P. miles, such as from being a generalist to a specialist strategy at a local level. For instance, Scorpaena maderensis Valenciennes, 1833 prefers epibenthic crustaceans [58], and Scorpaena loppei Cadenat, 1943 prefers mysids and decapods [59]. Studies regarding the feeding ecology of S. porcus, showed similar specialist feeding strategies [60,61,62,63], and in some cases, endangered seahorse species were preyed upon [64]. However, in all studies investigating the feeding habits of P. miles, it is suggested that many factors, such as prey availability, habitat complexity, and season could affect the feeding ecology of the species.

5. Conclusions

In conclusion, the lionfish is an especially successful generalist, opportunistic, predatory species at a regional scale [18,24,50,54,65], and as such, it feeds on the most abundant and common prey species [12]. At the same time, at a local level, it seems to be an equally successful specialist, and it could increase the predation mortality of already stressed prey populations, depending on local predator communities [24]. It can have a high ecological impact on native Mediterranean communities [66], similar to the detrimental impacts on native fish fauna and the food web in the Caribbean ecosystem [12,20,67,68,69], and can be a serious threat to endemic, critically endangered [17,70,71], and/or commercially important species [52]. Our results indicate that this is the case at our study sites in the Aegean Sea.
However, in order to reveal individual- and population-level specializations in lionfish diet and whether these can cause negative effects on native and/or endangered prey populations, robust large-scale studies of the species’ diet composition in association with prey availability are needed.

Author Contributions

Investigation, M.G., S.P., E.P. and M.A.; Resources, D.P.; Formal analysis, Visualization, A.E.; Writing—original draft, I.E.B., A.E. and C.G.; Writing— review & editing, I.E.B., A.E. and C.G.; Supervision, I.E.B.; Funding acquisition, C.G. All authors have read and agreed to the published version of the manuscript.

Funding

This work has been financed by the Operational Programme of Fisheries and Sea (OPFS) 2014–2020, Greece, and the European Maritime and Fisheries Fund (EMFF) as part of the project “Monitoring and control of invasive alien species in Greece using innovative techniques under current and future climate conditions—INVASION” (MIS 5049543).

Institutional Review Board Statement

Not applicable. No ethical approval was required for fish provided by local fishermen dead.

Data Availability Statement

Not applicable.

Acknowledgments

The authors are very grateful to two anonymous reviewers for their valuable comments and to local fishermen for providing samples.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zenetos, A.; Albano, P.G.; Lopez Garcia, E.; Stern, N.; Tsiamis, K.; Galanidi, M. Established non-indigenous species increased by 40% in 11 years in the Mediterranean Sea. Mediterr. Mar. Sci. 2022, 23. [Google Scholar] [CrossRef]
  2. Katsanevakis, S.; Rilov, G.; Edelist, D. Impacts of marine invasive alien species on European fisheries and aquaculture–plague or boon? CIESM Monogr. 2018, 50, 125–132. [Google Scholar]
  3. Tsirintanis, K.; Azzurro, E.; Crocetta, F.; Dimiza, M.; Froglia, C.; Gerovasileiou, V.; Langeneck, J.; Mancinelli, G.; Rosso, A.; Stern, N.; et al. Bioinvasion impacts on biodiversity, ecosystem services, and human health in the Mediterranean Sea. Aquat. Invasions 2022, 17, 308–352. [Google Scholar] [CrossRef]
  4. Galil, B.S.; Zenetos, A. A sea change—Exotics in the Eastern Mediterranean Sea. In Invasive Aquatic Species in Europe. Distribution, Impacts and Management; Leppakoski, E., Gollasch, S., Olenin, S., Eds.; Kluwer Academic Publishers: Dordrecht, The Amsterdam; Boston, MA, USA; London, UK, 2002; pp. 325–336. [Google Scholar]
  5. Olden, J.; Poff, N.; Douglas, M.; Douglas, M.; Fausch, K. Ecological and evolutionary consequences of biotic homogenization. Trends Ecol. Evol. 2004, 19, 18–24. [Google Scholar] [CrossRef]
  6. South, J.; Dick, J.T.; McCard, M.; Barrios-O’Neill, D.; Anton, A. Predicting predatory impact of juvenile invasive lionfish (Pterois volitans) on a crustacean prey using functional response analysis: Effects of temperature, habitat complexity and light regimes. Environ. Biol. Fishes 2017, 100, 1155–1165. [Google Scholar] [CrossRef] [Green Version]
  7. Fanelli, E.; Azzurro, E.; Bariche, M.; Cartes, J.E.; Maynou, F. Depicting the novel Eastern Mediterranean food web: A stable isotopes study following Lessepsian fish invasion. Biol. Invasions 2015, 17, 2163–2178. [Google Scholar] [CrossRef]
  8. Bezerra, L.A.V.; Angelini, R.; Vitule, J.R.S.; Coll, M.; Sánchez-Botero, J.I. Food web changes associated with drought and invasive species in a tropical semiarid reservoir. Hydrobiologia 2018, 817, 475–489. [Google Scholar] [CrossRef]
  9. Côté, I.M.; Smith, N.S. The lionfish Pterois sp. invasion: Has the worst-case scenario come to pass? Fish Biol. 2018, 92, 660–689. [Google Scholar] [CrossRef] [PubMed]
  10. Lesser, M.P.; Slattery, M. Phase shift to algal dominated communities at mesophotic depths associated with lionfish (Pterois volitans) invasion on a Bahamian coral reef. Biol. Invasions 2011, 13, 1855–1868. [Google Scholar] [CrossRef]
  11. Green, S.J.; Akins, J.L.; Cote, I.M. Foraging behaviour and prey consumption in the Indo-Pacific lionfish on Bahamian coral reefs. Mar. Ecol. Prog. Ser. 2011, 433, 159–167. [Google Scholar] [CrossRef] [Green Version]
  12. Côté, I.M.; Green, S.J.; Hixon, M.A. Predatory fish invaders: Insights from Indo-Pacific lionfish in the western Atlantic and Caribbean. Biol. Conserv. 2013, 164, 50–61. [Google Scholar] [CrossRef]
  13. Dahl, K.A.; Patterson, W.F., III. Habitat-specific density and diet of rapidly expanding invasive red lionfish, Pterois volitans, populations in the Northern Gulf of Mexico. PLoS ONE 2014, 9, e105852. [Google Scholar] [CrossRef]
  14. Green, S.J.; Côté, I.M. Trait-based diet selection: Prey behaviour and morphology predict vulnerability to predation in reef fish communities. J. Anim. Ecol. 2014, 83, 1451–1460. [Google Scholar] [CrossRef]
  15. Harms-Tuohy, C.; Schizas, N.V.; Appeldoorn, R.S. Use of DNA metabarcoding for stomach content analysis in the invasive lionfish Pterois volitans in Puerto Rico. Mar. Ecol. Prog. Ser. 2016, 558, 181–191. [Google Scholar] [CrossRef] [Green Version]
  16. Dahl, K.A.; Patterson, W.F., III; Robertson, A.; Ortmann, A.C. DNA barcoding significantly improves resolution of invasive lionfish diet in the Northern Gulf of Mexico. Biol. Invasions 2017, 19, 1917–1933. [Google Scholar] [CrossRef]
  17. Green, S.J.; Akins, J.L.; Maljkovi, A.; Côte, I.M. Invasive lionfish drive Atlantic coral reef fish declines. PLoS ONE 2012, 7, e32596. [Google Scholar] [CrossRef]
  18. Layman, C.A.; Allgeier, J.E. Characterizing trophic ecology of generalist consumers: A case study of the invasive lionfish in The Bahamas. Mar. Ecol. Prog. Ser. 2012, 448, 131–141. [Google Scholar] [CrossRef] [Green Version]
  19. Golani, D.; Sonin, O. New records of the Red Sea fishes, Pterois miles (Scorpaenidae) and Pteragogus pelycus (Labridae) from the eastern Mediterranean Sea. Jpn. J. Ichthyol. 1992, 39, 167–169. [Google Scholar] [CrossRef]
  20. Albins, M.A.; Hixon, M.A. Invasive Indo-Pacific lionfish Pterois volitans reduce recruitment of Atlantic coral-reef fishes. Mar. Ecol. Prog. Ser. 2008, 367, 233–238. [Google Scholar] [CrossRef] [Green Version]
  21. Bariche, M.; Torres, M.; Azzurro, E. The Presence of the invasive Lionfish Pterois miles in the Mediterranean Sea. Mediterr. Mar. Sci. 2013, 14, 292–294. [Google Scholar] [CrossRef]
  22. Dimitriadis, C.; Galanidi, M.; Zenetos, M.; Corsini-Foka, M.; Giovos, I.; Karachle, P.K.; Fournari-Konstantinidou, I.; Kytinou, E.; Issaris, Y.; Azzurro, E.; et al. Updating the occurrences of Pterois miles in the Mediterranean Sea, with considerations on thermal boundaries and future range expansion. Mediterr. Mar. Sci. 2020, 21, 62–69. [Google Scholar] [CrossRef]
  23. Johnston, M.W.; Purkis, S.J. Spatial analysis of the invasion of lionfish in the western Atlantic and Caribbean. Mar. Pollut. Bull. 2011, 62, 1218–1226. [Google Scholar] [CrossRef] [PubMed]
  24. Peake, J.; Bogdanoff, A.K.; Layman, C.A.; Castillo, B.; Reale-Munroe, K.; Chapman, J.; Dahl, K.; Patterson, W.F., III; Eddy, C.; Ellis, R.D.; et al. Feeding ecology of invasive lionfish (Pterois volitans and Pterois miles) in the temperate and tropical western Atlantic. Biol. Invasions 2018, 20, 2567–2597. [Google Scholar] [CrossRef]
  25. Côté, I.M.; Maljković, A. Predation rates of IndoPacific lionfish on Bahamian coral reefs. Mar. Ecol. Prog. Ser. 2010, 404, 219–225. [Google Scholar] [CrossRef] [Green Version]
  26. Ritger, A.L.; Fountain, C.T.; Bourne, K.; Martín-Fernández, J.A.; Pierotti, M.E. Diet choice in a generalist predator, the invasive lionfish (Pterois volitans/miles). J. Exp. Mar. Biol. Ecol. 2020, 524, 151311. [Google Scholar] [CrossRef]
  27. Zannaki, K.; Corsini-Foka, M.; Kampouris, T.E.; Batjakas, I.E. First results on the diet of the invasive Pterois miles (Actinopterygii: Scorpaeniformes: Scorpaenidae) in the Hellenic waters. Acta Ichthyol. Piscat. 2019, 49, 311–317. [Google Scholar] [CrossRef] [Green Version]
  28. D’Agostino, D.; Jimenez, C.; Reader, T.; Hadjioannou, L.; Heyworth, S.; Aplikioti, M.; Argyrou, M.; Feary, D.A. Behavioural traits and feeding ecology of Mediterranean lionfish and naiveté of native species to lionfish predation. Mar. Ecol. Prog. Ser. 2020, 638, 123–135. [Google Scholar] [CrossRef]
  29. Savva, I.; Chartosia, N.; Antoniou, C.; Kleitou, P.; Georgiou, A.; Stern, N.; Hadjioannou, L.; Jimenez, C.; Andreou, V.; Hall-Spencer, J.M.; et al. They are here to stay: The biology and ecology of lionfish (Pterois miles) in the Mediterranean Sea. Fish Biol. 2020, 97, 148–162. [Google Scholar] [CrossRef]
  30. Morris, J.A., Jr. The Biology and Ecology of Invasive Indo–Pacific Lionfish. Ph.D. Thesis, North Carolina State University, Raleigh, NC, USA, 2009; 168p. [Google Scholar]
  31. Tuset, V.M.; Lombarte, A.; Assis, C.A. Otolith atlas for the western Mediterranean, north and central eastern Atlantic. Sci. Mar. 2008, 72, 7–198. [Google Scholar] [CrossRef]
  32. Ferry, L.A.; Cailliet, G.M. Sample size and data analysis: Are we characterizing and comparing diet properly? In Proceedings of the GUTSHOP ’96, Feeding Ecology and Nutrition in Fish, International Congress on the Biology of Fishes, San Francisco, CA, USA, 14–18 July 1996; American Fisheries Society: Washington, DC, USA, 1996; pp. 71–80. [Google Scholar]
  33. Tiralongo, F.; Messina, G.; Cazzolla Gatti, R.; Tibullo, D.; Lombardo, B.M. Some biological aspects of juveniles of the rough ray, Raja radula Delaroche, 1809 in Eastern Sicily (central Mediterranean Sea). J. Sea Res. 2018, 142, 174–179. [Google Scholar] [CrossRef]
  34. Oksanen, J.; Blanchet, F.G.; Friendly, M.; Kindt, R.; Legendre, P.; McGlinn, D.; Minchin, P.R.; O’Hara, R.B.; Simpson, G.L.; Solymos, P.; et al. Vegan: Community Ecology Package. R Package Version 2.6-4. 2019. Available online: https://CRAN.R-project.org/package=vegan (accessed on 4 December 2022).
  35. Hyslop, E.J. Stomach contents analysis—A review of methods and their application. J. Fish. Biol. 1980, 17, 411–429. [Google Scholar] [CrossRef] [Green Version]
  36. Tennekes, M. Treemap: Treemap Visualization. R Package Version 2.4-3. 2021. Available online: https://CRAN.R-project.org/package=treemap (accessed on 4 December 2022).
  37. Kruskal, J.B. Nonmetric multidimensional scaling: A numerical method. Psychometrika 1964, 29, 115–129. [Google Scholar] [CrossRef]
  38. Anderson, M. A new method for non-parametric multivariate analysis of variance. Austral. Ecol. 2001, 26, 32–46. [Google Scholar]
  39. Clarke, K.R. Non-parametric multivariate analyses of changes in community structure. Austral. Ecol. 1993, 18, 117–143. [Google Scholar] [CrossRef]
  40. Schoener, T.W. Nonsynchronous spatial overlap of lizards in patchy habitats. Ecology 1970, 51, 408–418. [Google Scholar] [CrossRef] [Green Version]
  41. Amundsen, P.-A.; Gabler, H.-M.; Staldvik, F.J. A new method for graphical analysis of feeding strategy from stomach contents data. J. Fish Biol. 1996, 48, 607–614. [Google Scholar]
  42. Levins, R. Evolution in Changing Environments; Princeton University Press: Princeton, NJ, USA, 1968; 120p. [Google Scholar]
  43. Krebs, C.J. Ecological Methodology, 3rd ed.; Addison-Wesley Educational Publishers, Inc.: Boston, MA, USA, 2014. [Google Scholar]
  44. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2022; Available online: https://www.R-project.org/ (accessed on 1 December 2022).
  45. Clarke, K.R.; Warwick, R.M. Change in Marine Communities: An Approach to Statistical Analysis and Interpretation, 2nd ed.; PRIMER-E: Plymouth, UK, 2001. [Google Scholar]
  46. Clarke, Κ.Ρ.; Gorley, R.N. PRIMER v6: User Manual/Tutorial; PRIMER-E: Plymouth, UK, 2006. [Google Scholar]
  47. Anderson, M.J.; Gorley, R.N.; Clarke, K.R. PERMANOVA+ for PRIMER: Guide to Software and Statistical Methods; PRIMER-E: Plymouth, UK, 2008. [Google Scholar]
  48. Fishelson, L. Ethology and reproduction of pteroid fishes found in the Gulf of Aqaba (Red Sea), especially Dendrochirus brachypterus (Cuvier), (Pteroidae, Teleostei). Pubblicazioni della Stazione Zoologica di Napoli 1975, 39, 635–656. [Google Scholar]
  49. Khalaf, M.A.; Disi, A.M. Fishes of the Gulf of Aqaba; Marine Science Station: Aqaba, Jordan, 1997. [Google Scholar]
  50. Morris, J.A.; Akins, J.L. Feeding ecology of invasive lionfish (Pterois volitans) in the Bahamian archipelago. Environ. Biol. Fishes 2009, 86, 389–398. [Google Scholar] [CrossRef] [Green Version]
  51. Arredondo-Chávez, A.F.; Sánchez-Jimenez, J.A.; Ávila-Morales, O.G.; TorresChávez, P.; Herrerias-Diego, Y.; Medina-Nava, M.; Madrigal-Guridi, X.; Campos-Mendoza, A.; Domínguez- Domínguez, O.; Caballero-Vázquez, J.A. Spatio-temporal variation in the diet composition of red lionfish, Pterois volitans, (Actinopterygii: Scorpaeniformes: Scorpaenidae), in the Mexican Caribbean: Insights into the ecological effect of the alien invasion. Acta Ichthyol. Piscat. 2016, 46, 185–200. [Google Scholar] [CrossRef] [Green Version]
  52. Valdez-Moreno, M.; Quintal-Lizama, C.; Gómez-Lozano, R.; del Carmen García-Rivas, M. Monitoring an Alien Invasion: DNA Barcoding and the Identification of Lionfish and Their Prey on Coral Reefs of the Mexican Caribbean. PLoS ONE 2012, 7, e36636. [Google Scholar] [CrossRef] [Green Version]
  53. Sandel, V.; Martinez-Fernandez, D.; Wangpraseurt, D.; Sierra, L. Ecology and management of the invasive lionfish Pterois volitans/miles complex (Perciformes: Scorpaenidae) in Southern Costa Rica. Rev. Biol. Trop. 2015, 63, 213–221. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Munõz, R.C.; Currin, C.A.; Whitfield, P.E. Diet of invasive lionfish on hard bottom reefs of the Southeast USA: Insights from stomach contents and stable isotopes. Mar. Ecol. Prog. Ser. 2011, 432, 181–193. [Google Scholar] [CrossRef] [Green Version]
  55. Šantić, M.; Pallaoro, A.; Stagličić, N.; Markov-Podvinski, M. Feeding Habits of the red scorpionfish, Scorpaena scrofa (Osteichthyes: Scorpaenidae) from the eastern central Adriatic Sea. Cah. Biol. Mar. 2011, 52, 217–226. [Google Scholar] [CrossRef]
  56. Kampouris, T.E.; Koutsoubas, D.; Milenkova, D.; Economidis, G.; Tamvakidis, S.; Batjakas, I.E. New Data on the Biology and Fisheries of the Threatened Palinurus elephas (Fabricius, 1787) (Decapoda, Achelata, Palinuridae) from the North-West Aegean Sea, Greece. Water 2020, 12, 2390. [Google Scholar] [CrossRef]
  57. Kleiven, A.R.; Olsen, E.M.; Vølstad, J.H. Total catch of a red-listed marine species is an order of magnitude higher than official data. PLoS ONE 2012, 7, e31216. [Google Scholar] [CrossRef] [Green Version]
  58. La Mesa, G.; La Mesa, M.; Tomassetti, P. Feeding habits of the Madeira rockfish Scorpaena maderensis from central Mediterranean Sea. Mar. Biol. 2007, 150, 1313–1320. [Google Scholar] [CrossRef]
  59. Ordines, F.; Valls, M.; Gouraguine, A. Biology, feeding and habitat preferences of Cadenat’s rockfish, Scorpaena loppei (Actinopterygii: Scorpaniformes: Scorpanidae), in the Balearic Islands (western Mediterranean). Acta Ichthyol. Piscat. 2012, 42, 21–30. [Google Scholar] [CrossRef] [Green Version]
  60. Demirhan, S.A.; Can, M.F. Age growth food composition of Scorpaena porcus (Linnaeus 1758) in the southeastern Black Sea. J. Appl. Ichthyol. 2009, 25, 215–218. [Google Scholar] [CrossRef]
  61. Compaire, J.C.; Casademont, P.; Cabrera, R.; Gómez-Cama, C.; Soriguer, M.C. Feeding of Scorpaena porcus (Scorpaenidae) in intertidal rock pools in the Gulf of Cadiz (NE Atlantic). J. Mar. Biolog. Assoc. UK 2018, 98, 845–853. [Google Scholar] [CrossRef]
  62. Omri, N.; Derbal, F.; Kara, M.H. Diet of the black scorpionfish Scorpaena porcus (Scorpaenidae) of the gulf of Annaba, Algeria. Cybium 2019, 43, 179–186. [Google Scholar] [CrossRef]
  63. Aydin, M.; Mazlum, R.E. Feeding ecology of black scorpion fish (Scorpaena porcus Linnaeus, 1758) in SE Black Sea region, (Ordu) Turkey. J. Mar. Biol. Assoc. UK 2020, 100, 435–444. [Google Scholar] [CrossRef]
  64. Sahin, C.; Erbay, M.; Kalayci, F.; Ceylan, Y.; Yesilcicek, T. Life-History Traits of the Black Scorpionfish (Scorpaena porcus) in Southeastern Black Sea. Turk. J. Fish. Aquat. Sci. 2019, 19, 571–584. [Google Scholar] [CrossRef]
  65. Eddy, C.; Pitt, J.; Morris, J.A., Jr.; Smith, S.; Goodbody-Gringley, G.; Bernal, D. Diet of invasive lionfish (Pterois volitans and P. miles) in Bermuda. Mar. Ecol. Prog. Ser. 2016, 558, 193–206. [Google Scholar] [CrossRef] [Green Version]
  66. Galanidi, M.; Zenetos, A.; Bacher, S. Assessing the socio-economic impacts of priority marine invasive fishes in the Mediterranean with the newly proposed SEICAT methodology. Mediterr. Mar. Sci. 2018, 19, 107–123. [Google Scholar] [CrossRef] [Green Version]
  67. Albins, M.A.; Hixon, M.A. Worst case scenario: Potential long-term effects of invasive predatory lionfish (Pterois volitans) on Atlantic and Caribbean coral-reef communities. Environ. Biol. Fishes 2013, 96, 1151–1157. [Google Scholar] [CrossRef]
  68. Morris, J.A., Jr.; Akins, J.L.; Barse, A.; Cerino, D.; Freshwater, D.W.; Green, S.J.; Muñoz, R.C.; Paris, C.; Whitfield, P.E. Biology and ecology of the invasive lionfishes, Pterois miles and Pterois volitans. Proc. Gulf Caribb. Fish. Inst. 2009, 61, 409–414. [Google Scholar]
  69. Arias-González, J.E.; González-Gándara, C.; Cabrera, J.L.; Christensen, V. Predicted impact of the invasive lionfish Pterois volitans on the food web of a Caribbean coral reef. Environ. Res. 2011, 111, 917–925. [Google Scholar] [CrossRef]
  70. Rocha, L.A.; Rocha, C.R.; Baldwin, C.C.; Weigt, L.A.; McField, M. Invasive lionfish preying on critically endangered reef fish. Coral Reefs 2015, 34, 803–806. [Google Scholar] [CrossRef] [Green Version]
  71. Ballew, N.G.; Bacheler, N.M.; Kellison, G.T.; Schueller, A.M. Invasive lionfish reduce native fish abundance on a regional scale. Sci. Rep. 2016, 6, 32169. [Google Scholar] [CrossRef]
Figure 1. Approximate sampling locations of Pterois miles in southern Greece.
Figure 1. Approximate sampling locations of Pterois miles in southern Greece.
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Figure 2. Plots of the expected (mean) number of prey taxa as a function of the cumulative number of P. miles stomachs examined (prey accumulation curves) for the whole dataset and separately for Nisyros, Kastellorizo, and Crete. 95% confidence intervals for the estimate are indicated in green.
Figure 2. Plots of the expected (mean) number of prey taxa as a function of the cumulative number of P. miles stomachs examined (prey accumulation curves) for the whole dataset and separately for Nisyros, Kastellorizo, and Crete. 95% confidence intervals for the estimate are indicated in green.
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Figure 3. Variations of the frequency of occurrence (%F) of the P. miles prey groups between areas (Nisyros, Crete, and Kastellorizo), sex (Male, Female, and Unknown), size class (Small, Large), and for the whole dataset.
Figure 3. Variations of the frequency of occurrence (%F) of the P. miles prey groups between areas (Nisyros, Crete, and Kastellorizo), sex (Male, Female, and Unknown), size class (Small, Large), and for the whole dataset.
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Figure 4. Treemap plots depicting the variations of the relative numerical abundance (%N) of the P. miles prey groups between areas.
Figure 4. Treemap plots depicting the variations of the relative numerical abundance (%N) of the P. miles prey groups between areas.
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Figure 5. nMDS ordination plot of the P. miles stomach samples, colored by area (N = Nisyros; K = Kastellorizo; C = Crete).
Figure 5. nMDS ordination plot of the P. miles stomach samples, colored by area (N = Nisyros; K = Kastellorizo; C = Crete).
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Figure 6. Modified Costello graphical analysis of the P. miles diet for the whole dataset and separately for each area. The prey-specific abundance of prey category i (Pi) is plotted in the charts against its frequency of occurrence (%F) in the stomachs with food contents.
Figure 6. Modified Costello graphical analysis of the P. miles diet for the whole dataset and separately for each area. The prey-specific abundance of prey category i (Pi) is plotted in the charts against its frequency of occurrence (%F) in the stomachs with food contents.
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Table 1. Total number of stomachs and percentages of full and empty stomachs (=VI) of P. miles for each area, sex (Female, Male, and Unknown), and size class (Small, Large).
Table 1. Total number of stomachs and percentages of full and empty stomachs (=VI) of P. miles for each area, sex (Female, Male, and Unknown), and size class (Small, Large).
FactorLevelsTotalFull %Empty % (=VI)
AreaCrete7377%23%
Kastellorizo3184%16%
Nisyros3762%38%
SexF7878%22%
M1560%40%
U4873%27%
SizeS6876%24%
L7373%27%
Grand Total 14174%26%
Table 2. Mean values of the P. miles repletion index (0/00) for each area, sex (Female, Male, and Unknown), and size class (Small, Large).
Table 2. Mean values of the P. miles repletion index (0/00) for each area, sex (Female, Male, and Unknown), and size class (Small, Large).
SexSizeNisyrosKastellorizoCrete
F 31.83315.07171.12
S27.66294.77210.83
L32.66330.3103.39
M 27.19187.33
S 126.32
L27.19614.39
U 96.94230.6683.19
S23.5166.26100.78
L121.42311.1761.2
Area52.07257.6138.6
Table 3. Frequency of occurrence (%F) values for the different P. miles prey taxa and groups for each area (Nisyros, Crete, Kastellorizo), sex (Male, Female, Unknown), size class (Small, Large), and for the whole dataset.
Table 3. Frequency of occurrence (%F) values for the different P. miles prey taxa and groups for each area (Nisyros, Crete, Kastellorizo), sex (Male, Female, Unknown), size class (Small, Large), and for the whole dataset.
TaxonNCKFMUSLALL
BENTHIC INVERTEBRATES5.419.593.238.976.674.175.888.227.09
Cumacea5.410.000.000.006.672.080.002.741.42
Isopoda0.001.370.001.280.000.001.470.000.71
Gastropoda0.001.370.001.280.000.000.001.370.71
Mollusca0.001.370.001.280.000.000.001.370.71
Polychaeta0.004.110.003.850.000.002.941.372.13
Ostracoda0.001.373.231.280.002.081.471.371.42
DECAPODS10.8131.5180.6538.4633.3335.4244.1230.1436.88
Brachyura
Homola barbata (Fabricius, 1793)0.005.480.002.560.004.174.411.372.84
Inachus sp.0.002.740.001.280.002.082.940.001.42
Natantia
Alpheus sp.0.000.003.231.280.000.000.001.370.71
Plesionika edwardsii (Brandt, 1851)0.000.0041.948.9720.006.2510.298.229.22
Plesionika spp.0.001.3729.036.416.678.335.888.227.09
Caridea8.111.370.003.850.002.085.880.002.84
Parapenaeus longirostris (Lucas, 1846)0.002.740.000.000.004.172.940.001.42
Natantia0.000.0012.902.566.672.084.411.372.84
Macrura
Scyllarides latus (Latreille, 1803)0.006.850.003.850.004.172.944.113.55
Scyllarus arctus (Linnaeus, 1758)0.001.370.001.280.000.001.470.000.71
Scyllarus sp.0.009.590.006.410.004.175.884.114.96
Scyllaridae larvae0.001.370.001.280.000.000.001.370.71
Scyllaridae0.009.593.237.690.004.177.354.115.67
Decapoda2.700.000.001.280.000.000.001.370.71
FISH51.3557.5316.1352.5620.0045.8345.5947.9546.81
Atherina hepsetus Linnaeus, 17580.001.370.001.280.000.001.470.000.71
Chromis sp.0.002.740.001.280.002.081.471.371.42
Gobidae5.412.740.005.130.000.002.942.742.84
Labridae5.410.000.001.286.670.000.002.741.42
Pterois sp.5.410.000.002.560.000.000.002.741.42
Sargocentron rubrum (Forsskål, 1775)0.001.370.001.280.000.000.001.370.71
Scorpaena scrofa (Linnaeus,1758)0.001.370.001.280.000.000.001.370.71
Spicara smaris (Linnaeus, 1758)0.001.370.000.000.002.080.001.370.71
fish remains40.5447.9516.1342.3113.3341.6739.7138.3639.01
Table 4. Relative numerical abundance (%N) values for the different P. miles prey taxa and groups for each area (Nisyros, Crete, and Kastellorizo), sex (Male, Female, Unknown), size class (Small, Large), and for the whole dataset.
Table 4. Relative numerical abundance (%N) values for the different P. miles prey taxa and groups for each area (Nisyros, Crete, and Kastellorizo), sex (Male, Female, Unknown), size class (Small, Large), and for the whole dataset.
TaxonNCKFMUSLALL
BENTHIC INVERTEBRATES4.887.890.714.553.453.334.124.004.07
Cumacea4.880.000.000.003.451.111.180.000.68
Isopoda0.000.880.000.570.000.000.000.800.34
Gastropoda0.000.880.000.570.000.000.590.000.34
Mollusca0.000.880.000.570.000.000.590.000.34
Polychaeta0.003.510.002.270.000.000.592.401.36
Ostracoda0.001.750.710.570.002.221.180.801.02
DECAPODS12.2036.8495.0060.2365.5261.1162.3559.2061.02
Brachyura
Homola barbata (Fabricius, 1793)0.004.390.001.140.003.330.593.201.69
Inachus sp.0.001.750.000.570.001.110.001.600.68
Natantia
Alpheus sp.0.000.001.431.140.000.001.180.000.68
Plesionika edwardsii (Brandt, 1851)0.000.0035.0014.7731.0315.5618.8213.6016.61
Plesionika spp.0.001.7547.8622.1631.0323.3328.8216.0023.39
Caridea9.760.880.002.270.001.110.004.001.69
Parapenaeus longirostris (Lucas, 1846)0.001.750.000.000.002.220.001.600.68
Natantia0.000.0010.006.253.452.224.714.804.75
Macrura
Scyllarides latus (Latreille, 1803)0.007.890.002.840.004.442.943.203.05
Scyllarus arctus (Linnaeus, 1758)0.000.880.000.570.000.000.000.800.34
Scyllarus sp.0.007.020.003.410.002.221.764.002.71
Scyllaridae larvae0.001.750.001.140.000.001.180.000.68
Scyllaridae0.008.770.713.410.005.561.766.403.73
Decapoda2.440.000.000.570.000.000.590.000.34
FISH82.9355.264.2935.2331.0335.5633.5336.8034.92
Atherina hepsetus Linnaeus, 17580.000.880.000.570.000.000.000.800.34
Chromis sp.0.002.630.001.140.001.110.591.601.02
Gobidae7.321.750.002.840.000.001.182.401.69
Labridae7.320.000.001.143.450.001.760.001.02
Pterois sp.4.880.000.001.140.000.001.180.000.68
Sargocentron rubrum (Forsskål, 1775)0.004.390.002.840.000.002.940.001.69
Scorpaena scrofa Linnaeus, 17580.000.880.000.570.000.000.590.000.34
Spicara smaris (Linnaeus, 1758)0.000.880.000.000.001.110.590.000.34
fish remains63.4143.864.2925.0027.5933.3324.7132.0027.80
Table 5. Results of the one-way SIMPER analysis comparing areas in terms of the P. miles diet composition. The table presents area typifying species and species contributing most to the between areas dissimilarities up to a 90% cut-off value.
Table 5. Results of the one-way SIMPER analysis comparing areas in terms of the P. miles diet composition. The table presents area typifying species and species contributing most to the between areas dissimilarities up to a 90% cut-off value.
One-way SIMPER analysis
Within groups
SpeciesAv.AbundAv.SimSim/SDContrib%Cum.%
Group N (Average similarity = 34.59)
fish remains0.8032.910.7995.1495.14
Group C (Average similarity = 29.05)
fish remains0.7327.190.7493.6093.60
Group K (Average similarity = 26.60)
Plesionika edwarsii0.9115.560.5358.5158.51
Plesionika spp.0.919.280.3534.9093.41
Between groups
SpeciesAv.AbundAv.AbundAv.DissDiss/SDContrib%Cum.%
Groups N and C (Average dissimilarity = 69.17)
Group N Group C
fish remains 0.80 0.73 23.30 1.09 33.6933.69
Caridea 0.15 0.02 5.05 0.39 7.3040.98
Scyllarus sp. 0.00 0.13 4.02 0.35 5.8146.80
Scyllaridae 0.00 0.14 3.89 0.37 5.6352.42
Pterois sp. 0.09 0.00 3.53 0.30 5.1057.52
Cumacea 0.09 0.00 3.53 0.30 5.1062.63
Gobidae 0.10 0.04 2.96 0.34 4.2966.91
Scyllarides latus 0.00 0.12 2.89 0.29 4.1871.09
Labridae 0.10 0.00 2.79 0.29 4.0475.13
Homola barbata 0.00 0.08 2.11 0.26 3.0478.18
Decapoda 0.04 0.00 1.76 0.21 2.5580.73
Polychaeta 0.00 0.06 1.65 0.23 2.3983.12
Chromis sp. 0.00 0.04 1.50 0.18 2.1885.29
Parapenaeus longirostris 0.00 0.04 1.29 0.18 1.8787.16
Inachus sp. 0.00 0.04 1.19 0.18 1.7288.88
Ostracoda 0.00 0.03 0.95 0.13 1.3890.26
Groups N and K (Average dissimilarity = 93.62)
Group N Group K
Plesionika edwarsii 0.00 0.91 26.14 0.91 27.9227.92
Plesionika spp. 0.00 0.91 23.09 0.71 24.6752.59
fish remains 0.80 0.21 21.39 1.12 22.8475.43
Natantia 0.00 0.27 6.06 0.40 6.4881.91
Caridea 0.15 0.00 3.72 0.37 3.9785.88
Pterois sp. 0.09 0.00 2.86 0.29 3.0688.94
Cumacea 0.09 0.00 2.86 0.29 3.0692.00
Groups C and K (Average dissimilarity = 93.68)
Group C Group K
Plesionika edwarsii 0.00 0.91 24.18 0.90 25.8125.81
Plesionika spp. 0.03 0.91 21.79 0.72 23.2649.08
fish remains 0.73 0.21 19.08 1.07 20.3769.44
Natantia 0.00 0.27 5.63 0.40 6.0075.45
Scyllaridae 0.14 0.04 3.57 0.40 3.8179.26
Scyllarus sp. 0.13 0.00 3.14 0.35 3.3582.61
Scyllarides latus 0.12 0.00 2.35 0.29 2.5185.12
Homola barbata 0.08 0.00 1.68 0.26 1.7986.91
Polychaeta 0.06 0.00 1.33 0.23 1.4288.33
Ostracoda 0.03 0.04 1.27 0.21 1.3689.69
Chromis sp. 0.04 0.00 1.16 0.18 1.2490.93
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MDPI and ACS Style

Batjakas, I.E.; Evangelopoulos, A.; Giannou, M.; Pappou, S.; Papanikola, E.; Atsikvasi, M.; Poursanidis, D.; Gubili, C. Lionfish Diet Composition at Three Study Sites in the Aegean Sea: An Invasive Generalist? Fishes 2023, 8, 314. https://doi.org/10.3390/fishes8060314

AMA Style

Batjakas IE, Evangelopoulos A, Giannou M, Pappou S, Papanikola E, Atsikvasi M, Poursanidis D, Gubili C. Lionfish Diet Composition at Three Study Sites in the Aegean Sea: An Invasive Generalist? Fishes. 2023; 8(6):314. https://doi.org/10.3390/fishes8060314

Chicago/Turabian Style

Batjakas, Ioannis E., Athanasios Evangelopoulos, Maria Giannou, Sofia Pappou, Eleftheria Papanikola, Maria Atsikvasi, Dimitris Poursanidis, and Chrysoula Gubili. 2023. "Lionfish Diet Composition at Three Study Sites in the Aegean Sea: An Invasive Generalist?" Fishes 8, no. 6: 314. https://doi.org/10.3390/fishes8060314

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