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115
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ShareScore release 0.9.0
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115 results for “invasive predator”
Invasive predator diet plasticity has implications for native fish conservation & invasive species suppression
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Native and invasive squirrels show different behavioural responses to scent of a shared native predator
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Evolutionary change in metabolic rate of Daphnia pulicaria following invasion by the predator Bythotrephes longimanus
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Visual recognition and coevolutionary history drive responses of amphibians to an invasive predator
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Data from: Predation risk affects growth and reproduction of an invasive snail and its lethal effect depends on prey size
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Data from: Spatial dynamics of habitat use informs reintroduction efforts in the presence of an invasive predator
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Size, not temperature, drives cyclopoid copepod predation of invasive mosquito larvae
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Data from: Trophic sensitivity of invasive predator and native prey interactions: integrating environmental context and climate change
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Data from: Gape-limited predators as agents of selection on the defensive morphology of an invasive invertebrate
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Declining invasive grey squirrel populations may persist in refugia as native predator recovery reverses squirrel species replacement
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Data from: Predator-free space, functional responses and biological invasions
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Fig. 9 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 9. Defense strategy (schooling and dispersing) by the Nile Tilapia (mean ± SD) in the tanks with Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data showed interaction (P =0.018) among species, structural complexity and schooling. Shoaling decreased for 0% to 100% structural complexity treatments, while dispersing behavior increased for the RD treatment.
Fig. 4 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 4. Temporal variation of predatory activity the experiment, in each treatment. Mean ± SD of Oreochromis niloticus survival in the tanks with Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles). Levels of habitat complexity: a. 0%, b. 50%, c. 100% and d. RD.
Fig. 1 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 1. Experimental tanks used. The left side of the image shows the simulation of habitat complexity using a plastic imitation of macrophytes: upper left – 0% habitat complexity, upper right – 50%, bottom left – 100% and bottom right – RD (rocks and driftwood). The right side of the image shows the individual water circulation system, the lamps used to manipulate the photoperiod of 12:12 h light:dark and the dark panels at the windows to avoid the influence of natural light.
Fig. 5 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 5. Use of microhabitat (surface, middle and bottom layers) by the native predators (mean ± SD) Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data showed significant interaction (P = 0.049) among species, structural habitat complexity and microhabitat.All species of native predators used the bottom layer of the tank more frequently.
Fig. 6 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 6. Activity (inactive, swimming, stalking and attacking) by the native predators (mean ± SD) Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data suggested that the interaction among species, structural habitat complexity and activity was significant (P <0.001). The native predators did not stalk or attack in any of the treatments.
Fig. 2 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 2. Summary of scheme of experimental procedures, design and statistical analyses. From left to right: acclimatization period and procedures for each species in isolation (Oreochromis niloticus, Salminus brasiliensis, Pseudoplatystoma corruscans and Brycon orbignyanus). Experimental design: four levels of habitat complexity (0%, 50% and 100% (simulated using green plastic filaments) and RD (rocks and driftwood) simulated with basaltic rocks and tree branches) for three species combinations (O. niloticus x S. brasiliensis, O. niloticus x P. corruscans and O. niloticus x B. orbignyanus), replicated three times, totaling 36 experimental units. Ten O. niloticus were placed in each tank and after 6 h, one predator was added. Data collection started 6 h from the beginning of the experiment and was repeated at 12-h intervals (5 a.m./5 p.m.). The predatory efficiency, predation frequency over time, use of microhabitat and activity by predators and prey, together with the defense strategy of the prey, were analyzed using different models of ANOVA design.
Fig. 3 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 3. Predatory efficiency (mean ± standard deviation (SD) of Oreochromis niloticus consumption) by Pseudoplatystoma corruscans (white bars), Salminus brasiliensis (black bars) and Brycon orbignyanus (gray bars), in 0%, 50%, 100% and RD treatments. ANOVA for these data was not significant (P = 0.69) for interaction between species and structural complexity. However, the predatory efficiencies of species were different (P <0.001).
Fig. 7 in Foraging behavior interactions between the invasive Nile Tilapia (Cichliformes: Cichlidae) and three large native predators
Fig. 7. Use of microhabitat (surface, middle and bottom) by the Nile Tilapia (mean ± SD) in the tanks with Pseudoplatystoma corruscans (white circles), Salminus brasiliensis (white squares) and Brycon orbignyanus (black triangles), for 0%, 50%, 100% and RD treatments. The three-way ANOVA for these data suggested significant (P = 0.045) interaction between species, structural complexity and use of microhabitat. The juveniles used the surface and bottom layers more frequently.
Figure 5 in Predation on invasive land gastropods by a Neotropical land planarian
Figure 5. Mean amount of time, in seconds, spent by Obama ladislavii on slime of three different prey species. BS = Bradybaena similaris (160.83 ± 35.72); DL = Deroceras laeve (121.33 ± 35.54); HA = Helix aspersa (55.33 ± 24.83). Different letters indicate significant difference in means.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.