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164 results for “invasive fish”
Throw trap and electrofishing data collected during 1996–2022 from the Everglades, Florida, United States for the publication "Contrasting invasion histories and effects of three non-native fishes observed with long-term monitoring data"
This dataset was used to analyze the effects of three non-native fishes in the Florida Everglades for a publication in the journal Biological Invasions. The dataset incorporates plot-level mean densities (# of individuals per square meter) of common aquatic animals collected during 1996–2022 from 17 sites across three regions of the Everglades: Taylor Slough, Shark River Slough, and Water Conservation Area 3A. Prey species included are nine common small fishes and three common decapod species (two crayfish species and grass shrimp). The dataset includes throw trap data on three predator taxa: African Jewelfish (Hemichromis letourneuxi), Mayan Cichlids (Mayaheros uruphthalmus), and sunfishes (Lepomis spp.). Annual indices of mean wet season electrofishing catch-per-unit-effort of Asian Swamp Eels (Monopterus albus/javanesis), Mayan Cichlids, sunfishes, and the three other large 'top predator' fishes (Amia calva, Lepisosteus platyrhincus, Micropterus salmoides) are included for plots where electrofishing was performed from 1997-2021. Hydrologic measures used in analyses and R code used to conduct analyses are also included.
Fig. 10 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 10. Trends in the relative abundance of trophic guilds in Lake Fenéki (Piscivores: y = 0.06 + 0.003x; R2 = 0.757; P> 0.00001)
Fig. 9 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 9. Proportion of each species in the cumulative abundance of non-native fish species in Lake Fenéki
Fig. 7 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 7. PCA biplot of the arcsin-square root transformed relative abundance data of the whole sampling period (1992–2011) (Variables: Sampling years; Objects: Relative abundances) (abbreviations were constructed from the Latin names of the species, using the first 3 characters of genus and species
Fig. 5 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 5. Estimated number of species (SD's ignored in order to improve visibility) as a function of number of individuals collected in each sampling year
Fig. 8 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 8. PCA biplot of the arcsin-square root transformed relative abundance data of the period 1994–2011 (Variables: Sampling years; Objects: Relative abundances)
Fig. 4 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 4. Relationships between the age of Lake Fenéki and the Shannon–Weaver index (y = 0.414ln(x) + 0.852; R2 = 0.772; P <0.0001)
Fig. 3 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 3. Relationships between the age of Lake Fenéki and the number of fish species (y = 4.141ln(x) + 3.807; R2 = 0.759; P <0.0001)
Fig. 1 in Long-Term Development Of Fish Assemblage In Lake Fenéki (Kis-Balaton Water Protection System, Hungary): Succession, Invasion And Stabilization
Fig. 1. Overlooking map of the Balaton-catchment, with the sampling site (Dark rectangle marked by the arrow indicates the flooded area of Lake Fenéki)
Fig. 1 in Invasive Mollusc, Crustacean, Fish And Reptile Species Along The Hungarian Stretch Of The River Danube And Some Connected Waters
Fig. 1. Increasing number of invasive species in the Hungarian Danube stretch according to the studied taxonomical groups
FIGURE 4 in Drastic reduction of the functional diversity of native ichthyofauna in a Neotropical lake following invasion by piscivorous fishes
FIGURE 4 | Temporal changes in species richness (dashed lines) and functional richness (FRic; continous lines) of the ichthyofauna from Carioca Lake, Middle Rio Doce basin, state of Minas Gerais, considering two scenarios: "all species", including native and non-native; and "only native species" (left figures). Plotted values expressed as a proportion to the maximum richness. The arrows represent the first records of the introduced piscivorous Cichla kelberi (in 1985) and Pygocentrus nattereri (in 1992) in the system. The upper plots represent the functional space (only two dimensions for simplify visualization), with polygons indicating the proportion filled by the set of species (FRic) in each year. Right figures illustrate the functional space showing the position of each species. Green and blue colors indicate, respectively, the native and introduced species, and crosses indicate native species extirpated from the lake. Codes at the ends of the arrows are the most important ecomorphological traits for each axis of the PCA (for functional trait and species codes, see Tab. 1 and Tab. S2).
FIGURE 3 in Drastic reduction of the functional diversity of native ichthyofauna in a Neotropical lake following invasion by piscivorous fishes
FIGURE 3 | Compositional change of the ichthyofauna from Carioca Lake, Middle Rio Doce basin state of Minas Gerais, southeastern Brazil. Green and blue squares indicate, respectively, the presence of native and introduced species in each year.
FIGURE 1 in Drastic reduction of the functional diversity of native ichthyofauna in a Neotropical lake following invasion by piscivorous fishes
FIGURE 1 | The lacustrine system of the Middle Rio Doce basin, state of Minas Gerais, Brazil. The green polygon delimits the area of the Rio Doce State Park (PERD) and the white circle indicates the location of Carioca Lake.
FIGURE 2 in Drastic reduction of the functional diversity of native ichthyofauna in a Neotropical lake following invasion by piscivorous fishes
FIGURE 2 | Morphometric measures taken from digital pictures: CPd – caudal-peduncle minimal depth, CFd – caudal-fin maximum depth, CFs – caudal-fin surface, PFi – distance from pectoral-fin insertion to the bottom of the body, PFb – body depth at the level of the pectoral-fin insertion, PFl – pectoral-fin length, PFs – pectoral-fin surface, Hd – head depth along the vertical axis of the eye, Ed – eye diameter, Eh – distance from the center of the eye to the bottom of the head, Mo – distance from the tip of the upper jaw to the bottom of the head along the head depth axis. Adapted from Leitão et al. (2016).
Figure 3 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 3. The proportion of risk statuses of fish families with four or more species assessed at the extent of Florida. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 1 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 1. The proportion of risk statuses of fish families with four or more species assessed at the extent of the conterminous U.S. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 2 in America's Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action
Figure 2. The proportion of risk statuses of fish families with four or more species assessed at the extent of the Great Lakes region. Panel (A) shows the proportion of species with high, moderate, low, multiple, and undetermined risk statuses of assessed species (total number of species evaluated in a family). Panel (B) shows the ratio of assessed to unassessed species in a given family (total species in a family). Total species in a family were obtained from FishBase (Froese and Pauly 2023).
Figure 7 in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?
Figure 7. Increase in rotenone concentration in water samples along the riverbank as result of spraying the bank with water of high rotenone concentration.
Figure 6 in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?
Figure 6. Temperature at 10 cm depth in substrate at a groundwater influenced riverbank before, during and after flooding the riverbed with rotenone-treated water. The curve shows an instant temperature rise, indicating rotenone treated surface water intruding the groundwater fed substrate.
Figure 5. Crew placing a in Fighting an invasive fish parasite in subarctic Norwegian rivers - The end of a long story?
Figure 5. Crew placing a rotenone disc in a small brook. Brooks of this size were numerous, often remote and typically inhabited with potentially infected arctic char juveniles. The rotenone disc replaced the more bulky 20 litre-can drip stations. Photograph by Dag H. Karlsen.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.