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26 results for “fish stock”
Consumer Stocks: Fish, Vegetation, and other Non-physical Data from Everglades National Park (FCE LTER), South Florida, USA from February 2000 to April 2005
We hypothesize that standing crops of consumers reflect patterns of allochthonous nutrient transport along the estuarine interface at the Florida Coastal Everglades (FCE) LTER. Our goal is to investigate how variation in hydrology, water quality, and disturbance influence secondary production. This data set represents the numeric count data of fish, plants, and other fauna.
Consumer Stocks: Fish Biomass from Everglades National Park (FCE), South Florida from February 2000 to April 2005
We hypothesize that standing crops of consumers reflect patterns of allochthonous nutrient transport along the estuarine interface at the Florida Coastal Everglades (FCE) LTER. Our goal is to investigate how variation in hydrology, water quality, and disturbance influence secondary production. This data set represents the numeric count data of fish, plants, and other fauna.
Consumer Stocks: Fish Biomass from Everglades National Park (FCE), South Florida from February 1996 to March 2000
We hypothesize that standing crops of consumers reflect patterns of allochthonous nutrient transport along the estuarine interface at the Florida Coastal Everglades (FCE) LTER. Our goal is to investigate how variation in hydrology, water quality, and disturbance influence secondary production. This data set represents the numeric count data of fish, plants, and other fauna.
UCSB SONGS Mitigation Monitoring: Reef Performance Standard - Fish Standing Stock
These data describe annual estimates of fish standing stock (in tons) supported by the artificial reef, Wheeler North Reef, in Orange County, CA (33.40210N, 117.62420W). Data collection began in 2009 to evaluate the ability of Wheeler North Reef to compensate for losses of kelp forest habitat and associated biota caused by the operation of the San Onofre Nuclear Generating Station (SONGS).
FIGURE 6 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 6 | Bayesian topology and species delimitation using Generalized Mixed Yule-coalescent (GMYC), Bayesian Poisson Tree Process (bPTP) and Automatic Barcode Gap Discovery (ABGD) discriminating species denominated pilombetas.
FIGURE 3 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 3 | Fresh specimens of the species identified in the study area. A. Anchoviella brevirostris (75.5 mm SL), B. Anchoviella cayennensis (90.3 mm SL), C. Anchoviella lepidentostole (83.2 mm SL), D. Anchovia clupeoides (120 mm SL), E. Cetengraulis edentulus (104.4 mm SL), F. Lycengraulis grossidens (98.7 mm SL). Photographs were taken by the first author.
FIGURE 4 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 4 | Principal Components Analysis indicating the visual ordination of the six species of pilombetas in the morphospace. Estimated changes in dorsal and ventral view shape are shown as deformations from the mean shape along the first and second principal components.
FIGURE 2 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 2 | Location of anatomical landmarks used for morphometric analyses: 1- distal point of the rostrum; 2- posterior end of the head; 3-anterior insertion of the dorsal fin; 4- insertion of the first upper radius of caudal fin; 5-insertion of the first lower radius of caudal fin; 6-anterior anal fin insertion; 7- insertion of the ventral fin; 8-insertion of the pectoral fin; 9- posterior end of the eye; 10- anterior end of the eye.
FIGURE 1 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 1 | Map of the sampling locality of pilombetas specimens in São Francisco estuary, northeastern Brazil. EPA = Environmental Protection Area.
FIGURE 2 in An overview of fish stocking in Brazil
FIGURE 2 | Fish stocking effort (propagule size and number) in Brazil between 2010 and 2019, measured as the number of stocking events (A), the total number of fish released (B), and the average number of fish/ event (C).
FIGURE 4 in An overview of fish stocking in Brazil
FIGURE 4 | Proportion of native (black) and non-native fish (gray) stocked over the years, calculated from the events that informed taxa composition and the number of fish released.
FIGURE 3 in An overview of fish stocking in Brazil
FIGURE 3 | Fish stocking effort (propagule size and number) in different regions of Brazil, measured as the number of stocking events (A), the total number of fish released (B), and the average number of fish/event (C).
FIGURE 1 in An overview of fish stocking in Brazil
FIGURE 1 | Fish stocking events in Brazil, reporting the number of events recorded in each municipality between 2010 and 2019.
FIGURE 5 in Integrative systematics unveils the controversial identity of Engraulidae fishing stocks in a Neotropical estuary, northeast Brazil
FIGURE 5 | Canonical Variables Analysis discriminating for six pilombetas species.
Data from: Variable hybridization outcomes in trout are predicted by historical fish stocking and environmental context
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Genomics-enabled mixed-stock analysis uncovers intraspecific migratory complexity and detects unsampled populations in a harvested fish
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Data from: Estimates of gene flow and dispersal in wild riverine Brook Trout (Salvelinus fontinalis) populations reveal ongoing migration and introgression from stocked fish
As anthropogenic impacts accelerate changes to landscapes across the globe, understanding how genetic population structure is influenced by habitat features and dispersal is key to preserving evolutionary potential at the species level. Furthermore, knowledge of these interactions is essential to identifying potential constraints on local adaptation and for the development of effective management strategies. We examined these issues in Brook Trout (Salvelinus fontinalis) populations residing in the Upper Hudson River watershed of New York State by investigating the spatial genetic structure of over 350 fish collected from 14 different sampling locations encompassing three river systems. Population genetic analyses of microsatellite data suggest that fish in the area exhibit varying degrees of introgression from nearby State-directed supplementation activities. Levels of introgression in these populations correlate with water-way distance to stocking sites, although genetic population structure at the level of individual tributaries as well as their larger, parent river systems is also detectable and is dictated by migration and influenced by habitat connectivity. These findings represent a significant contribution to the current literature surrounding Brook Trout migration and dispersal, especially as it relates to larger interconnected systems. This work also suggests that stocking activities may have far-reaching consequences that are not directly limited to the immediate area where stocking occurs. The framework and data presented here may aid in the development of other local aquatic species-focused conservation plans that incorporate molecular tools to answer complex questions regarding diversity mapping, and genetically important conservation units.
Data Figures Indicators of the 'wild seafood' provisioning ecosystem service based on the surplus production of commercial fish stocks
<p>This excel sheet contains the underlying data for the Figures that are presented by Piet al (2017).</p> <p>Piet, GJ, HMJ van Overzee, DCM Miller, E Royo Gelabert, 2017. Indicators of the ‘wild seafood’ provisioning ecosystem service based on the surplus production of commercial fish stocks. Ecological Indicators, Volume 72: 194-202.</p>
Pulsed supplies of small fish facilitate short-term intraguild predation in salmon-stocked streams
<p class="MsoNormal"><span>Pulsed supplies of prey generally increase predator food intake. However, it is unclear whether this holds true when predators and pulsed prey are in same guild (i.e., intraguild [IG] predators and prey). IG prey may increase IG-predator food intake through predation, but they may decrease food intake through competition. To test these hypotheses, we compared the food intake of white-spotted charr (<em>Salvelinus leucomaenis</em>) (IG predator) in streams that were stocked or unstocked with masu salmon (<em>Oncorhynchus masou</em>) fry (IG prey) in streams in Hokkaido, Japan. One day after stocking, mean stomach content weight of charr was six-times higher than in unstocked streams due to fry consumption. In particular, large charr showed intense piscivory. However, predation on fry was rare on other days. Decreasing small fry may be partially responsible for the short-term occurrence of predation. In addition, acquisition of predator-avoidance behavior by fry and/or a lack of accommodation by charr to the sudden emergence of a new prey source may explain this time-limited intraguild predation. In days other than the first day post-stocking, food intake by charr did not differ between stocked and unstocked streams. No effects of interspecific competition on charr food intake were observed.</span></p>
Data from: Oxygen depletion in coastal seas and the effective spawning stock biomass of an exploited fish species
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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