Research Article |
Corresponding author: James W. E. Dickey ( jamesdickey03@gmail.com ) Academic editor: Tammy Robinson-Smythe
© 2025 James W. E. Dickey, Julian W. Zeller, Elizabeta Briski, Jonathan M. Jeschke, Gareth Arnott.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Dickey JWE, Zeller JW, Briski E, Jeschke JM, Arnott G (2025) Food fight: Gammarus tigrinus demonstrate competitive advantage over native G. duebeni. NeoBiota 97: 301-318. https://doi.org/10.3897/neobiota.97.141901
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Introductions of non-native species (NNS) are major drivers of biodiversity loss. Gammarids (Crustacea, Gammaroidea) have been particularly successful in establishing and spreading in their non-native range, especially in Europe. While their impacts are wide-ranging, interference competition with native species has received limited study to date. Here, we assessed the competitive abilities of the successful North American NNS Gammarus tigrinus relative to the European native Gammarus duebeni, over a chironomid larva as a single food resource. We staged four types of dyadic contest encounters, with individuals of the native or NNS added to the experimental arena containing the food resource, and inter- or intraspecific competitor individuals added upon the first individual taking possession of the resource, or after 20 minutes. Gammarus tigrinus were more likely to take hold of the bloodworm in the opening 20 minutes, and did so more quickly than G. duebeni. During this period, they were also less thigmotactic than the native, being more explorative and spending a smaller proportion of time in the outer zone of the arena. They exhibited more aggressive interactions and activity with increasing size and mass, whereas larger G. duebeni were shown to be less aggressive and less active. Gammarus tigrinus were found to be significantly less likely to lose possession to G. duebeni than they were to conspecifics, whereas G. duebeni were similarly likely to lose possession to G. tigrinus as to conspecifics. Overall, our findings indicate that the behaviour and competitive ability of G. tigrinus demonstrated here add to a list of traits that facilitate its invasion success. In addition, our method offers potential as an effective, standardisable means of assessing the competitive abilities of gammarid NNS. We encourage future studies to develop it further, incorporating alternative resources, such as habitat, and to assess the role of ecologically relevant abiotic stressors in determining contest outcomes.
Animal behaviour, Baltic Sea, contests, exploitative competition, impact assessment, interference competition, non-native species
Global translocations of non-native species (NNS) are major drivers of biodiversity loss, affecting ecosystem services, human health and welfare, food security, and economic costs (
The Baltic Sea is the world’s largest brackish-water basin and a highly unique ecosystem, with a low number of native species, many of which are postglacial immigrants, and at least 132 non-native and cryptogenic species (
Heeding recent calls for more studies to help decipher the competitive mechanisms at play between NNS and native species (
Ethogram showing recorded behaviours and how they were defined by the researchers.
Behaviour category | Behaviour | Definition |
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Aggression | Bump | Collision between the two gammarids |
Approach | Approach of gammarid out of possession towards bloodworm held by other gammarid | |
Wrestle | Both gammarids holding same bloodworm | |
Boldness | Outer zone | Gammarid in outer ring (Fig. |
Middle zone | Gammarid in middle ring (Fig. |
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Inner zone | Gammarid in central ring, also initial location of bloodworm (Fig. |
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Activity | Line cross | When gammarid crosses from one “segment” into another (Fig. |
Possession | In possession | Gammarid holding bloodworm |
Not in possession | Gammarid not holding bloodworm |
Both G. tigrinus and G. duebeni were collected from Travemünde, Germany (53°83'N, 10°64'E) in August 2017 and kept in laboratory conditions (temperature: 16 °C, light regime: 12 h:12 h). While the prevalence of these species from this locality were approximately 50:50 in 2017, the NNS has since become dominant and the native extirpated (Briski, pers. obs.). Stocks of both study species were held in constantly aerated 56 L glass aquaria, filled with 10 ppt, 5-μm filtered Kiel Fjord water. Sand and artificial structures in the form of ceramic tubes were added to the tanks to simulate natural habitats. The animals were fed ad libitum with a mixture of commercial crustacean food (Tetra Mix, Tetra Crusta, and Dr. Shrimp Healthy).
48 hours before trials began, study gammarids were taken from holding tanks and held individually in 100 ml of 10ppt water within plastic dishes (8.4 cm diameter, 4.2 cm height) containing two ceramic tubes for shelter. Study individuals of length 5.9 mm and upwards from both species were chosen, and randomly assigned to dyads for contests. To standardise hunger levels, and in turn motivation, gammarids were given 3 defrosted frozen Daphnia sp. (Vivantis Aqua, Germany) for one hour, after which any remaining Daphnia were removed by pipette. They were then starved for the following 47 hours. After the removal of food, all individuals were measured and weighed within 30 minutes, so as to give ample recovery time prior to trials. For this, individuals were blotted dry and weighed, and photographed next to a ruler for scale. Using ImageJ software (
Mean head-to-telson lengths and masses for contestants of both species over the four experimental trial types.
Matchup | Species | Mean length (mm) | Length SE | Mean mass (g) | Mass SE |
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1 | 1. G. duebeni | 8.356 | 0.600 | 0.051 | 0.006 |
2. G. duebeni | 7.912 | 0.399 | 0.043 | 0.006 | |
2 | 1. G. duebeni | 9.097 | 0.514 | 0.066 | 0.010 |
2. G. tigrinus | 8.519 | 0.522 | 0.048 | 0.006 | |
3 | 1. G. tigrinus | 8.958 | 0.339 | 0.061 | 0.006 |
2. G. duebeni | 8.189 | 0.478 | 0.048 | 0.005 | |
4 | 1. G. tigrinus | 8.630 | 0.263 | 0.057 | 0.006 |
2. G. tigrinus | 8.489 | 0.330 | 0.051 | 0.006 |
Trials were run in September 2022. Prior to trials commencing, a single defrosted frozen chironomid larva (i.e., bloodworm; Vivantis Aqua, Germany) was added to the experimental arena (same dimensions as plastic dishes mentioned above; design shown in Fig.
Video analysis was conducted using BORIS v7.4.14 (
We tested eight hypotheses, using the following statistical analyses:
Statistical analyses were conducted using R v4.0.3 (R Development Core Team), with graphs created using the ‘ggplot2’ (
Gammarus tigrinus were more likely to take hold of the bloodworm in the opening 20 minutes, and those that did, did so more quickly than G. duebeni (hypothesis 1). Twenty-one of the individuals added first took hold of the bloodworm in the opening 20 minutes, the majority of which were G. tigrinus (G. tigrinus: n = 15, 71.4%; G. duebeni: n = 6, 28.6%). Of the individuals that took the bloodworm in the opening 20 minutes, G. tigrinus had a significantly lower latency (mean +/- SE: G. tigrinus 270.00 +/- 55.00 seconds; G. duebeni 343.23 +/- 77.36 seconds; Wilcoxon rank sum exact test: W = 74, p = 0.023).
There was a significant effect of species on the proportion of time spent in the outer zone (hypothesis 2), with G. tigrinus spending more time in the middle and inner zones than the native G. duebeni (Beta regression: z = 5.858, p < 0.001; Fig.
Boxplots outlining the relative proportional time spent in each of the three zones and how this differed between G. tigrinus and G. duebeni A outer zone B middle zone C inner zone.
Scatter plots showing the effects of A mass and B head-to-telson length on the number of line crosses per second in the arena, and how this differed between G. tigrinus and G. duebeni. Lines shown with 95% confidence intervals.
With regards to hypothesis 4, there was no significant effect of trial type and head-to-telson length disparity or mass disparity on the combined number of bumps and approaches between the participant gammarids (Quasipoisson GLM: trial type the sole independent variable in both minimum adequate models, p = 0.249). However, at an individual level, a significant two-way interaction effect between species and mass on the number of approaches and bumps (Quasipoisson GLM: F1,68 = 5.202, p = 0.040; Suppl. material
Scatterplot outlining the effect of mass on the number of aggressive interactions, and how this differed between G. tigrinus and G. duebeni. Lines shown with 95% confidence intervals.
There was no significant effect of trial type on proportion of contests that led to wrestles (4-sample test for equality of proportions without continuity correction: p = 0.517; hypothesis 5). Similarly, there were no significant effects for trial type and head-to-telson length disparity (Gaussian GLM: length disparity the sole independent variable in minimum adequate model, p = 0.165) or mass disparity (Gaussian GLM: trial type the sole independent variable in minimum adequate model, p = 0.153) on the log-transformed time spent wrestling or the number of wrestling bouts (Quasipoisson GLM: trial type the sole independent variable in both minimum adequate models, p = 0.115; hypothesis 6).
There were no significant effects of trial type and size disparity or mass disparity on the proportion of time in possession found for the gammarid added first (Quasibinomial GLM: trial type the sole independent variable in both minimum adequate models, p = 0.230; hypothesis 7). However, takeover success when G. tigrinus was in possession was significantly affected by the species out of possession (Binomial GLM: z = 2.249, p = 0.025; Suppl. material
The introductions of NNS with overlapping ecological niches and functional similarity can lead to displacement of native species, something that has repeatedly been documented for those faced with the arrival of G. tigrinus (
During the initial period, we found G. tigrinus to be more likely to take possession of the resource, and of the individuals from both species that took possession, G. tigrinus exhibited a lower latency to do so than G. duebeni. The ability to efficiently identify, locate, take and retain possession of food resources is a valuable way of overcoming competitors in a novel ecosystem. Lower latencies to commence foraging have also been linked to greater boldness (
The inability of G. duebeni to dispossess G. tigrinus when in possession could be explained by competitive naiveté, something that remains relatively unstudied (
In the present study, we did not see any significant effect of body mass or length on contest outcome or aggressive behaviour between G. tigrinus and G. duebeni. Those size measures are commonly used determinants of competitive ability or “resource holding potential” (
While the purpose of this study was to assess species-level differences, the methods employed could also be used to compare the competitive abilities of age-groups, sexes or populations. Indeed, there have been a number of calls to assess population-level differences within invasion ecology of late (
An important next step is to ground-truth the methods applied in this study and to use more real-world examples. While size seemed to play a minor role in our study, we note that adult G. duebeni can reach almost twice the size of adult G. tigrinus (
Going forward, we propose that the findings of this study, and the methods implemented to derive them, offer applied potential in the form of NNS impact assessment. Indeed, recent impact assessment measures comparing resource consumption rates between NNS and trophically analogous natives have become incredibly popular within invasion ecology (
In summary, we propose that this method, used here to demonstrate the competitive ability of a widespread NNS that has led to population declines of native gammarids across Europe and is expanding its range further (
Thanks to the three anonymous reviewers and Prof. Tammy Robinson-Smythe for the constructive feedback during the review process which undoubtedly improved the manuscript.
The authors have declared that no competing interests exist.
No ethical statement was reported.
JWED was supported by the Alexander von Humboldt Foundation, Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB) postdoctoral funding and the National Research, Development and Innovation Office, NKFIH (RRF-2.3.1-21-2022-00006), and JWZ by ERASMUS+ and a Consejo Superior de Investigaciones Científicas (CSIC) JAE Intro Programme scholarship.
JWED and GA conceived the study. JWED conducted the experiments. JWED and JWZ performed the video analyses and conducted statistical analyses. EB and JMJ provided resources. JWED led the writing of the manuscript, with all authors contributing to its development.
James W. E. Dickey https://orcid.org/0000-0001-7288-5555
Julian W. Zeller https://orcid.org/0009-0001-8771-4588
Elizabeta Briski https://orcid.org/0000-0003-1896-3860
Jonathan M. Jeschke https://orcid.org/0000-0003-3328-4217
All of the data that support the findings of this study are available in the main text or Supplementary Information.
Supplementary information
Data type: docx
Explanation note: table S1. Estimated regression parameters, standard errors, z values and p-values for the Beta regression. The proportion of time spent in the outer zone was used as the dependent variable, with species and 1) head-to-telson length, or 2) mass, initially used as the independent variables, however the minimum adequate model was left with only species remaining following stepwise deletion. Dispersion was allowed to depend on the effect of species. table S2. Estimated regression parameters, standard errors, t values and p-values for quasipoisson generalized linear model. The number of line crosses per time in arena was used as the dependent variable and species of the focal individual, species of its competitor, and head-to-telson length were used as the independent variables. table S3. Estimated regression parameters, standard errors, t values and p-values for quasipoisson generalized linear model. The number of line crosses per time in arena was used as the dependent variable, and species of the focal individual, species of its competitor and mass were used as the independent variables. table S4. Estimated regression parameters, standard errors, t values and p-values for quasipoisson generalized linear model. The number of aggressive interactions (i.e. bumps, approaches: see Table
Gammarid contest data
Data type: xlsx
Explanation note: Behaviour data, coded using BORIS.