Data from: Direct, but not indirect, predation-risk cues deter larval settlement in a scyphozoan jellyfish
Data files
Sep 18, 2026 version files 16.98 KB
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README.md
2.44 KB
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settlement_all_experiments.xlsx
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Abstract
Settlement represents a key transition from dispersal to recruitment, during which predation can strongly influence population dynamics through both consumptive and non-consumptive effects. Predation generates chemical cues that convey information about the presence of predators, attacks on prey, ingestion of prey, and post-attack conditions. Predation-risk cues can be direct, when emitted by the predator itself, or indirect, when released by prey, yet how larvae respond to these cues during settlement remains poorly understood in many systems.
Here, we assessed how larvae of the scyphozoan jellyfish Aurelia coerulea respond to different predation-risk cues by conducting four experiments manipulating predator kairomones, conspecific alarm cues, conspecific post-attack cues, and predator diet cues. We hypothesised that settlement responses would depend on the information provided by cues, with an avoidance response expected for those indicating direct predation risk.
Settlement was deterred in response to direct cues (predator kairomones) and the combination of direct and indirect cues (predator kairomones with conspecific alarm cues). In contrast, settlement was unaffected by indirect cues alone (conspecific post-attack cues) and cues not associated with predation (mechanical damage cues). In addition, predator diet cues had no further effect beyond that of predator kairomones alone. These results suggest that larval behaviour is shaped by predation risk, with information about the presence of predators playing a key role in eliciting antipredator responses during settlement.
Our findings provide mechanistic evidence for understanding how predation-risk cues mediate non-consumptive effects during habitat selection in organisms with complex life cycles, highlighting how antipredator responses during a critical life-history transition can influence recruitment success.
Dataset DOI: 10.5061/dryad.g79cnp66v
Description of the data and file structure
This dataset contains larval settlement data from four laboratory experiments testing whether chemical cues associated with predation risk influence larval settlement in the jellyfish Aurelia coerulea. Experiments examined responses to predator kairomones, cues from active predation on conspecific polyps, cues from conspecific polyps previously exposed to predation, and predator diet cues.
Files, sheets, and variables
File: settlement_all_experiments.xlsx
Description: It contains the number of larvae that settled in each treatment during each experiment and the total number of larvae added to each replicate at the start of each experiment.
Sheets: There is one sheet per experiment.
Exp1 - Experiment 1: Predator kairomones. Treatments: unconditioned seawater (control), live nudibranchs (predator presence), and seawater conditioned with nudibranchs (predator odour).
Exp2 - Experiment 2: Conspecific alarm cues. Treatments: unconditioned seawater (control), seawater conditioned with uninjured polyps (uninjured conspecifics), seawater conditioned with polyps exposed to predatory injury (predator attack), and seawater conditioned with polyps exposed to non-predatory injury (mechanical abrasion).
Exp3 - Experiment 3: Conspecific post-attack cues. Treatments: unconditioned seawater (control), seawater conditioned with polyps without predation history (non-preyed conspecifics), and seawater conditioned with polyps previously exposed to predation (preyed conspecifics).
Exp4 - Experiment 4: Predator diet cues. Treatments: unconditioned seawater (control), seawater conditioned with nudibranchs fed jellyfish polyps (predator fed jellyfish polyps), and seawater conditioned with nudibranchs fed sea anemones (predator fed sea anemones).
Variables:
• Replicate ID
• Treatment label
• Settled: number of larvae that had settled at the end of the experiment.
• Total: number of larvae added at the start of the experiment.
• Experiment ID
Code/software
All analyses were performed in R.
Access information
No special access restrictions apply. Data are available through the Dryad Digital Repository.
