Invasions of Ponto-Caspian fish species into north-western European river basins accelerated since the opening of the Rhine–Main–Danube Canal in 1992. Since 2002, at least five Ponto-Caspian alien fish species have arrived in The Netherlands. Four species belong to the Gobiidae family (Neogobius fluviatilis, Neogobius melanostomus, Ponticola kessleri, and Proterorhinus semilunaris) and one to the Cyprinidae family (Romanogobio belingi). These species are expected to be potentially deleterious for the populations of four native benthic fish species: Gobio gobio (Cyprinidae), Barbatula barbatula (Nemacheilidae), Cottus perifretum, and C. rhenanus (Cottidae). Invasion success may be dependent on competitive trophic interactions with native species, which are enabled and/or constrained by feeding-related morphological traits. Twenty-two functional feeding traits were measured in nine species (in total 90 specimens). These traits were quantitatively linked to the mechanical, chemical and behavioral properties of a range of aquatic resource categories, using a previously developed food-fish model (FFM). The FFM was used to predict the trophic profile (TP) of each fish: the combined capacities to feed on each of the resource types. The most extreme TPs belonged to three alien species, indicating that they were most specialized among the studied species. Of these three, only P. kessleri overlapped with the two native Cottus species, indicating potential trophic competition. N. fluviatilis and R. belingi did not show any overlap, indicating that there is low trophic competition. The two remaining alien goby species (N. melanostomus and P. semilunaris) had average TPs and could be considered generalist feeders. They overlapped with each other and with G. gobio and B. barbatula, indicating potential trophic competition. This study suggests that both generalist and specialist species can be successful invaders. Since the FFM predicts potential interactions between species, it provides a tool to support horizon scanning and rapid risk assessments of alien species.
Citation: Nagelkerke LAJ, van Onselen E, van Kessel N, Leuven RSEW (2018) Functional feeding traits as predictors of invasive success of alien freshwater fish species using a food-fish model. PLoS ONE 13(6): e0197636. https://doi.org/10.1371/journal.pone.0197636
Editor: Brian R. MacKenzie, Technical University of Denmark, DENMARK
Received: February 1, 2018; Accepted: May 4, 2018; Published: June 6, 2018
Copyright: © 2018 Nagelkerke 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: Raw measurement data are uploaded as S1 Table. The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the Supporting Information files.
Funding: Two of the authors are employed by commercial companies. E.v.O. is employed by “Arcadis Nederland B.V.”. This author was allowed to contribute to this article during working hours, but already performed most of the research work during her MSc study at Wageningen University. N.v.K. is employed by “Bureau Waardenburg B.V.”. This author was allowed to contribute to this article during working hours. Both funders (“Arcadis Nederland B.V.” and “Bureau Waardenburg B.V.”) only provided support in the form of salaries for the authors [E.v.O. and N.v.K.], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
Competing interests: The authors have declared that no competing interests exist, despite the fact that two of them are currently employed by commercial companies (E.v.O: Arcadis Nederland B.V.; N.v.K.: Bureau Waardenburg B.V.). This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Invasions of aquatic alien species are increasingly recorded all over the globe and can have profound and pervasive effects on ecosystems [1–4], even to such an extent that they are considered a global threat to biodiversity and human livelihoods [5,6]. Impacts of alien species involve both direct biotic interactions, such as parasitism  and predation  as well as indirect changes through competition for resources [9,10], spread of disease and parasites [7,11], and even habitat alterations . Because of the strong trophic links in the aquatic environment food-web interactions are of special interest to understand the dynamics of native and alien species [8,12,13].
One of the most extensive invasion waves is that of Ponto-Caspian species, which was facilitated by the development of the European network of water ways, shipping and ballast water . Since 1992 the spread of both invertebrates and fish species has accelerated through the connection of the Danube and Rhine river basins [14,15]. In the Netherlands this has resulted in the arrival of at least four alien gobies (Gobiidae) and one gudgeon species (Cyprinidae) [16–18]. In order of first date of record: Western tubenose goby, Proterorhinus semilunaris (Heckel, 1837) in 2002, Whitefin gudgeon, Romanogobio belingi (Slastenenko, 1934) in 2004, Round goby, Neogobius melanostomus (Pallas, 1814) in 2004, Bighead goby, Ponticola kessleri (Günther, 1861), in 2007, and Monkey goby, Neogobius fluviatilis (Pallas, 1814) in 2009.
Invasibility is higher in low-diversity and disturbed ecosystems , e.g. in freshwater fish communities  and appears to be driven by two phenomena: the existence of “vacant” or “empty” niches and competitive interactions between native and alien species [20–22]. In the case of the Ponto-Caspian fish invasion in The Netherlands, two goby species (P. kessleri and N. melanostomus) were shown to be able to outcompete River bullhead (Cottus perifretum), most likely for shelter and/or food . Other forms of competition have been suggested in reproduction, habitat use and resource use . But either as a predator, competitor or prey item, alien species have an impact on the trophic relations within an ecosystem . However, trophic competition between alien Ponto-Caspian and native fish species is not well understood, despite the existence of some diet analyses [25–28]. Moreover, the actual diet of fishes is highly dependent on resource availability in a particular context and does not necessarily reflect the competitive potential in new circumstances , such as in newly invaded ecosystems. Therefore the ability to predict prey use from the morphology of an alien species could be helpful in the assessment of its potential impact on the receiving ecosystem. Such an ecomorphological approach is based on the principle that the morphology of an organism is causally linked to its feeding capacities [29–31] and that morphological feeding traits that are optimal for a particular food type, may be limiting in processing other food types [29,32,33]. Several studies have explicitly investigated the relationship between morphology, ecological functioning, and invasion potential of fish [34–36]. In these studies morphology is either used as a proxy for the ecological position of a species , or the relationship between morphology and ecological functioning are related through a correlative approach .
In contrast to the aforementioned correlative approaches Sibbing and Nagelkerke  developed a “Food-Fish Model” (FFM) in which the functional feeding traits of fish are quantitatively linked to the capacity to feed on a suite of aquatic food types, by means of functional morphology. The FFM aims to predict which resources are likely to make a difference in case of competitive circumstances. This means that not only the differences in trophic morphology between species are shown, but also the implications of these differences for the capacity to utilize particular food resources. For that purpose resources are divided into categories that reflect the challenges they pose to their consumer (e.g. fish prey are fast, large, struggling, and easily digestible, as opposed to sessile algae, which are non-moving, small and hard to digest). The quality of the FFM depends therefore on how well resources and consumer traits can be matched [29,37], which in turn depends strongly on the knowledge of functional morphology.
The model was originally developed using a group of African carp-like fishes (Cyprinidae) and was successfully used to predict their diets . In the present study the FFM was used to explore the feeding capacities of the five aforementioned alien Ponto-Caspian species N. fluviatilis, N. melanostomus, P. semilunaris, P. kessleri, and R. belingi, and four native species: Gudgeon, Gobio gobio (L., 1758) (Cyprinidae), Stone loach, Barbatula barbatula (L., 1758) (Nemacheilidae), and two bullhead species, River bullhead, Cottus perifretum Freyhof, Kottelat & Nolte, 2005, and Brook bullhead, C. rhenanus Freyhof, Kottelat & Nolte, 2005 (Cottidae). These native species were selected because of their assumed (partly) overlapping ecological niches and shared habitats with the alien species, and /or reported adverse effects of alien species on their populations [23,24,38]. It is discussed whether the alien species, based on their feeding capacities, could pose a threat to the native species and to what extent competitive interactions for food could play a role in this.
Materials and methods
In total 85 fish (6–14 specimens per species), for which a complete morphological dataset could be collected were used (Table 1). Dead frozen specimens were provided from fish monitoring conducted in compliance to the Water Framework Directive (WFD; 2000/60/EC). Fish were caught in the period 2011–2013 in different water bodies in the Netherlands (Hollands Diep, Waal, IJssel, Zandmaas, Grensmaas, Geul, Gulp: S1 Fig), using electrofishing and seine netting, according to van Kessel et al. .
Twenty-two functional feeding traits were measured using electronic calipers (Sylvac, Switzerland) and a dissection microscope. For measurements smaller than 2 mm an eyepiece micrometer was used. All measurements followed Sibbing and Nagelkerke , but as the original method was developed for cyprinid fishes, some traits could not be measured for all species in this study and were left out. Some trait measurements were adapted, such as presence and absence of barbels, and the presence of oral and pharyngeal teeth (Table 2). Metric measurements were scaled by dividing them by the standard length (SL). Surface areas were divided by SL2, while ratios, degrees and presence / absence measurements (0/1) were not scaled. All raw measurement data on functional feeding traits are included in the supplementary material (S1 Table).
For each fish its morphological traits were, through functional morphology, systematically related to their effects on the capacity to utilize particular aquatic food types using the FFM. This was done in two steps as described in Sibbing and Nagelkerke . First the effects of morphological traits on the capacity to eat a suite of aquatic food types were established. These effects were quantitatively expressed as positive or negative values (ranging between -2 and +2, where values of ±2 indicate stronger effects than values of ±1), or zero values when there is no functional morphological evidence for an effect. The combined values of all such effects for an aquatic resource form a hypothetical “food specialist profile” (FSP), expressing the ideal relative sizes of morphological traits to exploit that resource (S2 Table). The FSP values for each aquatic food resource were correlated with the morphological measurements of each individual fish, using Kendall’s tau correlation. The resulting series of correlation coefficients was called a trophic profile (TP), expressing the relative capacity of each individual fish to utilize each of the food resources. The values of measured morphological traits and values of FSPs, were separately standardized before correlation (subtracting the mean value of each variable and dividing by the standard deviation), resulting in a mean value of zero and a standard deviation of one for each variable, thus giving equal weight to all variables.
Principal components analysis (PCA) was performed on the standardized functional feeding traits to compare overall trophic morphology, and also on the TPs, to compare the overall capacities to utilize aquatic food resources. Mean TPs per species were calculated and clustered by species to explore differences in feeding capacities between species, and by food type to explore which food types are likely to differentiate most between the studied species.
The first two dimensions of the PCA ordination of the functional feeding traits represented 59.4% of the total variation and revealed that trophic morphology is generally different between species (Fig 1). There is little overlap between species, despite the presence of intraspecific variation and there appears to be no obvious sorting between native and alien species. N. fluviatilis has the most average trophic morphology, indicated by its position in the center of the ordination. The group in the right half of the ordination, consisting of native B. barbatula and G. gobio, and of alien R. belingi, is separate from all other species in the ordination, which is mostly caused by the presence of barbels and the absence of oral teeth in these three species, as well as by on average smaller gapes and operculum areas. Within this group B. barbatula is characterized by a shorter gut and a less deep body than the two gudgeon species. The group of fishes in the lower left quadrant of the ordination consists of the two native Cottus species and the alien P. kessleri. These species are all three characterized by large gapes and head lengths, as well as by large gill raker distances. P. kessleri is the only alien species in this analysis that overlaps with a native species. Finally, P. semilunaris and N. melanostomus are found in the top left quadrant of the ordination. They show some overlap in trophic morphology with each other, but not with any of the native species. A relatively large body depth and gut length characterizes them.
Principal component analysis of 22 functional feeding traits of five alien and four native fish species. In the left panel each marker represents an individual, and different symbols and colors indicate different species. Alien species are indicated with an asterisk. In the right panel the directions and sizes of the loadings of the feeding traits on the ordination are indicated (note that for clarity not all traits are shown).
The PCA ordination of the TPs (the first two dimensions representing 79.3% of the total variation) shows a slightly different picture. TPs of the species clearly cluster, but with more intra-specific variation than the trophic morphologies (Fig 2). There are roughly three groups of TPs. The first consists of the alien species N. fluviatilis, N. melanostomus, and P. semilunaris, which are overall closest to the center of the ordination, indicating the most generalized TPs. These species show a relatively large capacity for feeding on benthic resources such as benthic insect larvae, mollusks, detritus, and crustaceans. They also strongly overlap with each other. The second group consists of native B. barbatula and G. gobio and the alien R. belingi, characterized by a higher capacity to feed on sessile algae, phytoplankton, and zooplankton, and a smaller capacity for utilizing fish and insects. Finally, there is a group consisting of the two native Cottus species and the alien P. kessleri, which are distinct from the other species, but overlapping with each other. These are mainly characterized by their greater capacity to feed on fish (both by ambush and pursuit hunting) and their smaller capacity for utilizing benthic resources, plankton, and sessile algae.
Principal component analysis of the trophic profiles of five alien and four native fish species. In the left panel each marker represents an individual, and different symbols and colors indicate different species. Alien species are indicated with an asterisk. In the right panel the directions and sizes of the loading of the food specialist profiles are indicated.
It is striking that the extreme borders of both the trophic morphology and the TP spaces are mostly occupied by alien species, but that they also occur in the center. This is confirmed by the clustering of the mean TP per species (Fig 3), which shows the same three species groups, associated with three food resource groups.
Capacities of species to utilize aquatic food types, expressed as the mean trophic profiles per species. Pies indicate the mean correlations of a species’ morphology with the hypothetical profiles for each food resource specialist (red indicate negative, green positive correlations). Trophic profiles were both clustered for species and food types. Numbers in the tree diagrams are significant (>95%) bootstrap values. Alien species are indicated with an asterisk.
Invasion success is hypothesized to be related to two phenomena: the existence of “vacant” or “empty” niches and superior competitive abilities of the alien invader [20–22]. We found that either of these phenomena are plausible in case of the invasion of alien Ponto-Caspian fish species in Europe. When comparing the functional trophic morphology of five alien and four native species we found that they were all distinct, with only little overlap (Fig 1), suggesting that the feeding capacity of these species is different, providing sufficient opportunity for resource partitioning and for successful invasions . When interpreting these differences more directly towards differences in the capacity to utilize particular aquatic resources, more overlap between the species was seen, not only between alien and native species, but also between different aliens and different natives (Fig 2). Such overlap suggests similar trophic capacities of individuals and species, but also potential competitive interactions. Most extreme TPs are of alien species, suggesting that they are more specialized for particular food types (e.g., R. belingi for sessile algae, P. kessleri for fish, and the other three alien gobies for crustaceans). However, some specimens of especially P. semilunaris and N. fluviatilis have an average TP, suggesting that they are generalist feeders. Also in earlier studies both diet generalists and specialists were found to be successful invaders [43,44]. Similarly, two species from this study, P. kessleri, which is predicted to be a more specialist feeder in comparison to the more generalist N. melanostomus, and of which independent diet analyses supports this prediction , are both successful invaders and shown to be associated with the decrease of native C. perifretum .
The results of this study may be influenced by methodological choices that were made. Brandner et al.  found that different sampling methods can result in size or sex bias in the caught specimens. However, in our case the standardized combination of electrofishing and seine netting, which is performed in compliance with requirements for ecological status assessments according to the European Water Framework Directive (WFD), most probably yielded fish samples that can be considered representative for the populations. Therefore, our results are unlikely to be biased by the sampling methodology.
More importantly, the number of functional traits, but also the number of aquatic food resources that are distinguished can affect the accuracy of predicting food use and potential resource partitioning from morphology . However, gradually a consensus on relevant functional traits of fish feeding emerges [29,46–48]. Moreover, as all aspects of the feeding sequence–from detection to digestion–are represented in the selected functional traits , the ordination of species and specimens within functional trait space (Fig 1) can be considered reliably reflecting trophic similarities. The crucial step in the FFM in comparison to other studies of the relationships between morphology and trophic performance in invasion success, is the explicit incorporation of direct causal links between functional traits and the capacity to feed on particular resources, rather than looking for a post hoc correlation between resource use and morphology. The aim is to predict not only the extent of similarity among species, but also to indicate which resources are likely to make a difference in case of competitive circumstances . For that purpose resources are divided into categories that reflect the challenges they pose to the consumer (e.g. fish prey are fast, large, struggling, easily-digestible prey, as opposed to sessile algae, which are non-moving, small and hard to digest). The quality of the FFM depends therefore on how well resources and consumer traits can be matched [29,37], which in turn depends strongly on the knowledge of functional morphology. Refining the resource categories will most likely not make the model more reliable. In an extensive study on the relationships between morphology and trophic guilds of Mediterranean fishes Albouy et al.  found that no more than seven trophic guilds could be reliably distinguished. Different resource categories can partly overlap in the challenges they pose to consumers and the optimum trophic morphologies for dealing with such resource categories can therefore also be partly similar. Thus, the greater overlap between species in the ordination of the TPs (Fig 2) most likely reflects a real biological phenomenon such as the similarity in traits of different resources and not only a consequence of methodological imperfection. In this study this overlap results in roughly three resource groups (fish and insects, phytoplankton and zooplankton, all other resources) and three consumer groups, that are roughly, but not completely linked (Fig 3).
To what extent can the FFM approach be helpful in the assessment of invasion risk of alien species? As it indicates the capacity for resource utilization in relation to other species, it is potentially more useful than methods based on comparing actual diets. This is especially the case for species such as Ponto-Caspian gobies, which have broad and adaptable diets, depending on environmental conditions and food availability in (newly) invaded areas [26–28,49]. Even when an alien species is predicted to be a superior competitor for a particular resource, it does not mean that trophic competition will actually take place. If food is abundant it may not occur and even when there is a preference for the same food type between species, food partitioning without competition is possible, for instance because of habitat partitioning [50,51]. Moreover, morphological constraints can, to some extent, be compensated for by behavioral adaptations which could increase niche breadth [29,52], thereby decreasing or increasing competitive interactions. Behavioral aspects could also be underlying the phenomenon of facilitative interactions , which means that it is easier for new species to become invasive when others have already successfully established. For instance, in the Netherlands several Ponto-Caspian amphipod species already established before the first gobies were recorded [54,55]. It is possible that Ponto-Caspian gobies have a competitive advantage over native species in utilizing this resource because of their common evolutionary history in their native range .
In addition to species differences, this study also shows that there is intra-specific variation in the trophic morphology and TPs, with some extreme individuals in all species. Such individuals could have a selective advantage over others, both of other and of their own species. The individual trait utility hypothesis of Cerwenka et al.  even suggests that individuals carrying extreme trait values could be driving successful invasions. In N. melanostomus it was found that individuals at the invasion front were different from those in longer established areas, mostly in traits related to size, growth, and feeding (the “bigger is better” hypothesis), increasing their competitive capability [57,58]. Therefore incorporating intra-specific variation in ecomorphological analyses to assess invasion risk is highly recommended.
Of course trophic interactions are not the only mechanism that could favor alien over native species. Life history traits, such as nest-guarding, high reproductive output [59,60], and alternative reproductive tactics , the use of shelters [10,23,59], swimming performance , and aggressive behavior [24,60] can all be of importance and are not included in this analysis. However, trophic interactions are always of importance and despite its limitations, the use of the FFM could provide a relatively simple and fast tool to support rapid assessments of invasion risk.
This study shows that the trophic morphologies of five Ponto-Caspian fish species that recently invaded The Netherlands are distinct from each other and also from almost all studied native species. The feeding capacities of some aliens, derived from morphology, overlapped with native species, indicating potential competitive trophic interactions. Other alien species have more extreme feeding capacities, which potentially indicate their capacity to fill “vacant niches”. This study suggests that both generalist (e.g. N. melanostomus) and specialist species (e.g. P. kessleri) can be successful invaders.
S1 Fig. Sampling locations.
1: Hollands Diep; 2: Waal; 3:IJssel; 4: Zandmaas; 5: Grensmaas; 6: Geul; 7: Gulp.
S1 Table. Raw measurement data on functional feeding traits.
S2 Table. Food specialist profiles.
Effects of the sizes of morphological traits on the capacity to feed on different aquatic food types. Effects can be negative, positive or neutral (0). For velocity suction capacity, relative gape area, and relative body depth an optimum instead of a continuous relationship was used, a deviation from the optimum was seen as negative (or neutral) for these traits. The method follows Sibbing and Nagelkerke .
- 1. Simberloff D, Martin J-L, Genovesi P, Maris V, Wardle DA, Aronson J, et al. Impacts of biological invasions: what's what and the way forward. Trends in Ecology & Evolution. 2013;28(1):58–66. https://doi.org/10.1016/j.tree.2012.07.013.
- 2. Strayer DL. Alien species in fresh waters: ecological effects, interactions with other stressors, and prospects for the future. Freshwater Biology. 2010;55:152–74.
- 3. Turbelin AJ, Malamud BD, Francis RA. Mapping the global state of invasive alien species: patterns of invasion and policy responses. Global Ecol Biogeogr. 2017;26(1):78–92.
- 4. Ricciardi A, MacIsaac HJ. Impacts of biological invasions on freshwater ecosystems. In: Richardson AJ, editor. Fifty years of invasion ecology: The legacy of Charles Elton. Oxford, UK: Blackwell Publishing Ltd.; 2011. p. 211–24.
- 5. Early R, Bradley BA, Dukes JS, Lawler JJ, Olden JD, Blumenthal DM, et al. Global threats from invasive alien species in the twenty-first century and national response capacities. Nature Communications. 2016;7:12485. PMC4996970. pmid:27549569
- 6. Pimentel D, Zuniga R, Morrison D. Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecological Economics. 2005;52(3):273–88.
- 7. Smit NJ, Malherbe W, Hadfield KA. Alien freshwater fish parasites from South Africa: Diversity, distribution, status and the way forward. International Journal for Parasitology: Parasites and Wildlife. 2017. https://doi.org/10.1016/j.ijppaw.2017.06.001.
- 8. Gallardo B, Clavero M, Sánchez MI, Vilà M. Global ecological impacts of invasive species in aquatic ecosystems. Glob Change Biol. 2016;22(1):151–63. pmid:26212892
- 9. Byers JE. Competition between Two Estuarine Snails: Implications for Invasions of Exotic Species. Ecology. 2000;81(5):1225.
- 10. van Kessel N, Dorenbosch M, de Boer MRM, Leuven RSEW, van der Velde G. Competition for shelter between four invasive gobiids and two native benthic fish species. Current Zoology. 2011;57(6):844–51.
- 11. Crowl TA, Crist TO, Parmenter RR, Belovsky G, Lugo AE. The spread of invasive species and infectious disease as drivers of ecosystem change. Frontiers in Ecology and the Environment. 2008;6(5):238–46.
- 12. David P, Thébault E, Anneville O, Duyck PF, Chapuis E, Loeuille N, et al. Impacts of Invasive Species on Food Webs: A Review of Empirical Data. Advances in Ecological Research. 56: Academic Press; 2017. p. 1–60.
- 13. Pace ML, Cole JJ, Carpenter SR, Kitchell JF. Trophic cascades revealed in diverse ecosystems. Trends in Ecology & Evolution. 14(12):483–8.
- 14. Copp GH, Bianco PG, Bogutskaya NG, Erős T, Falka I, Ferreira MT, et al. To be, or not to be, a non-native freshwater fish? Journal of Applied Ichthyology. 2005;21(4):242–62.
- 15. Ketelaars HAM. Range extensions of Ponto-Caspian aquatic invertebrates in Continental Europe. In: Dumont H, Shiganova TA, Niermann U, editors. Aquatic Invasions in the Black, Caspian, and Mediterranean Seas: The Ctenophores Mnemiopsis leidyi and Beroe in the Ponto-Caspian and other Aquatic Invasions. NATO Science Series IV. Earth and Environmental Sciences. 35. Dordrecht: Springer Netherlands; 2004. p. 209–36.
- 16. van Beek GCW. The round goby Neogobius melanostomus first recorded in the Netherlands. Aquatic Invasions. 2006;1(1):42–3.
- 17. van Kessel N, Dorenbosch M, Spikmans F. First record of Pontian monkey goby, Neogobius fluviatilis (Pallas, 1814), in the Dutch Rhine. Aquatic Invasions. 2009;4(2):421–4.
- 18. Soes DM, Spaans PJ, Veenvliet P. The Whitefin gudgeon Romanogobio belingi new for The Netherlands. Lauterbornia. 2005;55:141–4.
- 19. Fitzgerald DB, Tobler M, Winemiller KO. From richer to poorer: successful invasion by freshwater fishes depends on species richness of donor and recipient basins. Glob Change Biol. 2016;22(7):2440–50. pmid:26582547
- 20. Turetsky MR, Baltzer JL, Johnstone JF, Mack MC, McCann K, Schuur EAG. Losing Legacies, Ecological Release, and Transient Responses: Key Challenges for the Future of Northern Ecosystem Science. Ecosystems. 2017;20(1):23–30.
- 21. Fridley JD, Sax DF. The imbalance of nature: revisiting a Darwinian framework for invasion biology. Global Ecol Biogeogr. 2014;23(11):1157–66.
- 22. Lekevičius E. Vacant niches in nature, ecology, and evolutionary theory: a mini-review. Ekologija. 2009;55(3–4):165–74.
- 23. van Kessel N, Dorenbosch M, Kranenbarg J, van der Velde G, Leuven RSEW. Invasive Ponto-Caspian gobies rapidly reduce the abundance of protected native bullhead. Aquatic Invasions. 2016;11(2):179–88.
- 24. Kakareko T, Kobak J, Grabowska J, Jermacz Ł, Przybylski M, Poznańska M, et al. Competitive interactions for food resources between invasive racer goby Babka gymnotrachelus and native European bullhead Cottus gobio. Biological Invasions. 2013;15(11):2519–30.
- 25. Copp GH, Kováč V, Zweimüller I, Dias A, Nascimento M, Balážová M. Preliminary study of dietary interactions between invading Ponto-Caspian gobies and some native fish species in the River Danube near Bratislava (Slovakia). Aquatic Invasions. 2008;3(2):193–200.
- 26. Piria M, Jakšić G, Jakovlić I, Treer T. Dietary habits of invasive Ponto-Caspian gobies in the Croatian part of the Danube River basin and their potential impact on benthic fish communities. Science of The Total Environment. 2016;540(Supplement C):386–95. https://doi.org/10.1016/j.scitotenv.2015.05.125.
- 27. Brandner J, Auerswald K, Cerwenka AF, Schliewen UK, Geist J. Comparative feeding ecology of invasive Ponto-Caspian gobies. Hydrobiologia. 2013;703(1):113–31.
- 28. Polačik M, Janáč M, Jurajda P, Adámek Z, Ondračková M, Trichkova T, et al. Invasive gobies in the Danube: invasion success facilitated by availability and selection of superior food resources. Ecology of Freshwater Fish. 2009;18(4):640–9.
- 29. Sibbing FA, Nagelkerke LAJ. Resource partitioning by Lake Tana barbs predicted from fish morphometrics and prey characteristics. Reviews in Fish Biology and Fisheries. 2001;10(4):393–437. Sibbing2000.
- 30. Link JS. A General Model of Selectivity for Fish Feeding: A Rank Proportion Algorithm. Transactions of the American Fisheries Society. 2004;133(3):655–73.
- 31. Wainwright PC, Richard BA. Predicting patterns of prey use from morphology of fishes. Environmental Biology of Fishes. 1995;44(1):97–113.
- 32. Norton SF. A functional approach to ecomorphological patterns of feeding in cottid fishes. Environmental Biology of Fishes. 1995;44(1–3):61–78.
- 33. Griffen BD, Mosblack H. Predicting diet and consumption rate differences between and within species using gut ecomorphology. Journal of Animal Ecology. 2011;80(4):854–63. pmid:21418211
- 34. Azzurro E, Tuset VM, Lombarte A, Maynou F, Simberloff D, Rodríguez-Pérez A, et al. External morphology explains the success of biological invasions. Ecology Letters. 2014;17(11):1455–63. pmid:25227153
- 35. Jakubčinová K, Simonović P, Števove B, Čanak Atlagić J, Kováč V. What can morphology tell us about ecology of four invasive goby species? J Fish Biol. 2017;90(5):1999–2019. pmid:28266017
- 36. Pennuto CM, Rupprecht SM. Upstream range expansion by invasive round gobies: Is functional morphology important? Aquatic Ecology. 2016;50(1):45–57.
- 37. Nagelkerke LAJ, Rossberg AG. Trophic niche-space imaging, using resource and consumer traits. Theoretical Ecology. 2014;7(4):423–34.
- 38. Cammaerts R, Spikmans F, van Kessel N, Verreycken H, Chérot F, Demol T, et al. Colonization of the Border Meuse area (The Netherlands and Belgium) by the non-native western tubenose goby Proterorhinus semilunaris (Heckel, 1837) (Teleostei, Gobiidae). Aquatic Invasions. 2012;7(2):251–8.
- 39. Fryer G, Iles TD. The Cichlid fishes of the great lakes of Africa: their biology and evolution. Edinburgh: [s.n.]; 1972.
- 40. Sibbing FA. Food processing by mastication in cyprinid fish. In: Vincent JFV, Lillford PJ, editors. Feeding and the texture of food. SEB Seminar Series. 44. Cambridge: Cambridge University Press; 1991. p. 57–92.
- 41. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2017.
- 42. Suzuki R, Shimodaira H. pvclust: Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling. R package version 2.0–0. 2015.
- 43. Bøhn T, Amundsen P-A. The Competitive Edge of an Invading Specialist. Ecology. 2001;82(8):2150.
- 44. Moyle PB, Marchetti MP. Predicting Invasion Success: Freshwater Fishes in California as a Model. BioScience. 2006;56(6):515.
- 45. Brandner J, Pander J, Mueller M, Cerwenka AF, Geist J. Effects of sampling techniques on population assessment of invasive round goby Neogobius melanostomus. J Fish Biol. 2013;82(6):2063–79. pmid:23731152
- 46. Albouy C, Guilhaumon F, Villéger S, Mouchet M, Mercier L, Culioli JM, et al. Predicting trophic guild and diet overlap from functional traits: statistics, opportunities and limitations for marine ecology. Marine Ecology Progress Series. 2011;436:17–28.
- 47. Aneesh Kumar KV, Tuset VM, Manjebrayakath H, Sumod KS, Sudhakar M, Otero-Ferrer JL, et al. Functional approach reveals low niche overlap among common deep-sea fishes from the south-eastern Arabian Sea. Deep Sea Research Part I: Oceanographic Research Papers. 2017;119(Supplement C):16–23. https://doi.org/10.1016/j.dsr.2016.11.011.
- 48. Córdova-Tapia F, Hernández-Marroquín V, Zambrano L. The role of environmental filtering in the functional structure of fish communities in tropical wetlands. Ecology of Freshwater Fish. in press.
- 49. Borcherding J, Dolina M, Heermann L, Knutzen P, Krüger S, Matern S, et al. Feeding and niche differentiation in three invasive gobies in the Lower Rhine, Germany. Limnologica—Ecology and Management of Inland Waters. 2013;43(1):49–58.
- 50. Darnaude AM, Harmelin-Vivien ML, Salen-Picard C. Food partitioning among flatfish (Pisces: Pleuronectiforms) juveniles in a Mediterranean coastal shallow sandy area. Journal of the Marine Biological Association of the UK. 2001;81(1):119–27.
- 51. Correa SB, Winemiller KO. Niche partitioning among frugivorous fishes in response to fluctuating resources in the Amazonian floodplain forest. Ecology. 2014;95(1):210–24. pmid:24649660
- 52. Wainwright PC. Morphology and Ecology: Functional Basis of Feeding Constraints in Caribbean Labrid Fishes. Ecology. 1988;69(3):635–45.
- 53. Ricciardi A. Facilitative interactions among aquatic invaders: is an "invasional meltdown" occurring in the Great Lakes? Canadian Journal of Fisheries and Aquatic Sciences. 2001;58(12):2513–25.
- 54. Dick JTA, Platvoet D. Invading predatory crustacean Dikerogammarus villosus eliminates both native and exotic species. Proceedings of the Royal Society B: Biological Sciences. 2000;267(1447):977–83. pmid:10874746
- 55. Leuven RSEW, van der Velde G, Baijens I, Snijders J, van der Zwart C, Lenders HJR, et al. The river Rhine: a global highway for dispersal of aquatic invasive species. Biological Invasions. 2009;11(9):1989–2008.
- 56. Cerwenka AF, Pagnotta A, Böker C, Brandner J, Geist J, Schliewen UK. Little association of biological trait values with environmental variables in invasive alien round goby (Neogobius melanostomus). Ecol Evol. 2017;7(12):4076–85. pmid:28649321
- 57. Brandner J, Cerwenka AF, Schliewen UK, Geist J. Bigger Is Better: Characteristics of Round Gobies Forming an Invasion Front in the Danube River. PLOS ONE. 2013;8(9):e73036. pmid:24039854
- 58. Brandner J, Cerwenka AF, Schliewen UK, Geist J. Invasion strategies in round goby (Neogobius melanostomus): Is bigger really better? PLOS ONE. 2018;13(1):e0190777. pmid:29304159
- 59. Kornis MS, Mercado-Silva N, Vander Zanden MJ. Twenty years of invasion: a review of round goby Neogobius melanostomus biology, spread and ecological implications. J Fish Biol. 2012;80(2):235–85. pmid:22268429
- 60. L’avrinčíková M, Kováč V, Katina S. Ontogenetic variability in external morphology of round goby Neogobius melanostomus from Middle Danube, Slovakia. Journal of Applied Ichthyology. 2005;21(4):328–34.
- 61. Bleeker K, de Jong K, van Kessel N, Hinde CA, Nagelkerke LAJ. Evidence for ontogenetically and morphologically distinct alternative reproductive tactics in the invasive Round Goby Neogobius melanostomus. PLOS ONE. 2017;12(4):e0174828. pmid:28369128