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opencc-by-4.0Oct 2024View details →

Data on the occurrence on anisakids and other parasites in fishery products from wild and farmed fish in all countries (Jan 2010 – Sept 2023)

This file contains data on anisakids and other parasites in fishery products from wild and farmed fish in all countries, covering studies published between January 2010 and September 2023. The systematic review protocol used to identify and extract the information is available at <a href="https://zenodo.org/records/10270810"> https://zenodo.org/records/10270810</a>. For data on anisakids for the period 2010-2020, this file is complementary to the zenodo file https://zenodo.org/records/14047972, and includes publications that were not selected in published meta-analyses.

opencc-zeroJun 2024View details →

The negative association of sea lice from fish farms on recreational fishing catches of Atlantic salmon

The question of whether and to what extent sea-louse (L. salmonis) infestations from salmon farms influence wild Atlantic salmon survival has been subject to sustained scientific debate and political controversy. Documenting the population-level effects of sea lice on wild salmon remains inherently challenging. We employ comprehensive sea-lice data and recreational catch data from Norway to assess the impact of farm sea-louse infestations on wild salmon catches in different production areas (PAs). Our analysis finds a significant correlation between declines in wild Atlantic salmon catches and increasing amounts of adult female sea lice per km2. The effect is most pronounced in PA 4 on the west coast of Norway, an area within the government's "traffic light" management system where out-migrating salmon smolts are deemed to face high exposure to louse-induced mortality risk. Our model predicts below-average catches when the total sea louse load exceeds the government's limit of 0.1 average adult female sea louse per farmed fish within some production areas. Furthermore, our results indicate that the risk of below-average catches increases by approximately 47% when salmon farms exceed this limit (estimated risk ratio of 1.47, 95 % CI [1.10, 1.96]). Synthesis and Applications: Our study expands the existing body of evidence demonstrating a negative association between fish farming and the ecosystem services provided by wild salmon stocks. It has important implications for aquaculture management. First, it shows that farm sea lice directly affect peoples, rights holders, and interest groups, such as landowners and anglers, who rely on viable populations of wild salmon. Second, it suggests that a >0.1 sea lice limit may be insufficient to prevent subpar catches in some areas. Furthermore, in the context of allowing further growth in farmed salmon biomass, setting absolute sea-louse limits for entire production areas may be a more effective regulatory instrument than setting average lice limits per farmed fish. Our findings contribute to advancing a scientific basis for setting appropriate louse limits on farm and area scales.

Fig 1 in Incidence of parasitic infection in adult and juvenile Clarias gariepinus in a private fish farm, Yola, Adamawa state

Fig 1: Sex Variation in Prevalence (%) of Parasitic Infection of Culture Clarias gariepinus

Plate 4 in Incidence of parasitic infection in adult and juvenile Clarias gariepinus in a private fish farm, Yola, Adamawa state

Plate 4: Capillaria parasites recovered from the stomach and intestine of C. gariepinu

Plate 6 in Incidence of parasitic infection in adult and juvenile Clarias gariepinus in a private fish farm, Yola, Adamawa state

Plate 6: Piscinoodinium (Dinoflagellate) found on the gill of adult Clarias gariepinus

Plate 2 in Incidence of parasitic infection in adult and juvenile Clarias gariepinus in a private fish farm, Yola, Adamawa state

Plate 2: Internal organ of adult Clarias gariepinus dissection indicating the stomach, intestine

Plate 3 in Incidence of parasitic infection in adult and juvenile Clarias gariepinus in a private fish farm, Yola, Adamawa state

Plate 3: Piscinoodinium (Dinoflagellate) found on the skin of adult Clarias gariepinus

Fig. 4 in Zooplankton Community Structure Of The Fish Farm Nagļi (Latvia)

Fig. 4. Mean physico-chemical parameters in the ponds, July.

Fig. 2 in Zooplankton Community Structure Of The Fish Farm Nagļi (Latvia)

Fig. 2. Mean water temperature in the ponds.

Fig. 1 in Zooplankton Community Structure Of The Fish Farm Nagļi (Latvia)

Fig. 1. The study area and sampling sites in the Fish farm Nagļi, 2018.

Fig. 3 in Zooplankton Community Structure Of The Fish Farm Nagļi (Latvia)

Fig. 3. Mean physico-chemical parameters in the ponds, May.

opencc-by-4.0Sep 2015View details →

Figure 1 in Heavy metal (cadmium, lead, and chromium) contamination in farmed fish: a potential risk for consumers' health

Figure 1. Map of the study area.

opencc-by-4.0Apr 2009View details →

Figure 1 in Cryptic speciation at organic-rich marine habitats: a new bacteriovore annelid from whale-fall and fish farms in the North-East Atlantic

Figure 1. Map showing collection sites in Sweden and Norway for the new species.

opencc-zeroFeb 2023View details →

Using standardized fish-specific autonomous reef monitoring structures (FARMS) to quantify cryptobenthic fish communities

1. Biodiversity inventories and monitoring techniques for marine fishes often overlook small (<5cm), bottom-associated ('cryptobenthic') fishes, and few standardized, comparative assessments of cryptobenthic fish communities exist. We sought to develop a standardized, quantitative survey method for cryptobenthic fishes that permits their sampling across a variety of habitats and conditions. 2. Fish-specific autonomous reef monitoring structures (FARMS) are designed to sample cryptobenthic fishes using a suite of accessible and affordable materials. To generate a variety of microhabitats, FARMS consist of three layers of stacked PVC pipes in three different sizes, as well as a bottom and top level of loose PVC-pipe fragments in a mesh basket. We deployed FARMS across a variety of habitats, including coral reefs, seagrass beds, oyster reefs, mangroves, and soft-bottom habitats across six locations (Hawai'i, Texas, Panama, Saudi Arabia, Brazil, and Curaçao). 3. From shallow estuaries to coral reefs beyond 100 m depth, FARMS attracted distinct communities of native cryptobenthic fishes with strong site or habitat specificity. Comparing the FARMS to communities sampled with alternative methods (enclosed clove-oil stations on coral reefs in Panama and oyster sampling units on oyster reefs in Texas) suggests that FARMS yield a subset of cryptobenthic species representative of those present on local coral and oyster reefs. While FARMS yield fewer individuals per sample and are restricted to cryptobenthic species, they are efficient sampling devices relative to the sampled area. 4. We demonstrate that FARMS represent a useful tool for standardized collections of cryptobenthic fishes. While natural substrata are bound to yield more mature communities with a larger number of individuals and wider range of specialist species, the potential to deploy and retrieve FARMS in turbid environments, beyond regular SCUBA depth, and where fish collections using anesthetics or ichthyocides are forbidden suggests that they are a valuable complementary technique to survey fishes in aquatic ecosystems. Deploying FARMS in locations and habitats where cryptobenthic fish communities have not been studied in detail may yield many valuable specimens of unknown or poorly known species.

opencc-by-4.0May 2023View details →

A stratified compartmental model for the transmission of Sparicotyle chrysophrii (Platyhelminthes: Monogenea) in gilthead seabream (Sparus aurata) fish farms

This repository hosts data and model codes of the paper: "A stratified compartmental model for the transmission of Sparicotyle chrysophrii (Platyhelminthes: Monogenea) in gilthead seabream (Sparus aurata) fish farms"  by Stella et al., Royal Society Open Science, 2023. doi:https://doi.org/10.1098/rsos.221377 Programming Language: MatLab The code has been tested on Matlab R2019b. Run the Main_Sparicotyle.m file code to reproduce Figures 2, 3, and 5 to 9 of the paper.

opencc-by-4.0Mar 2023View details →

Shellfish aquaculture farms as foraging habitat for nearshore fishes and crabs

This is the dataset used for the analysis in our paper. The file contains species counts and behavior classifications of nearshore fish and crabs taken from time-lapse underwater video. Also included are habitat transect data from each site. Presence/absence of zostera marina and zostera japonica eelgrass, algae, as well as eelgrass metrics were quantified in the transects. The metadata spreadsheet contains descriptions of each column in the datasheet. This data was collected at shellfish aquaculture farm sites across Puget Sound, Washington, USA in 2017, 2018, and 2019 using underwater timelapse video cameras and habitat transects. Transects were done with 1/4 meter^2 quadrat divided into 25 10x10cm^2 squares, each quadrat was measured 5 times along a 30 meter line parallel to shore. Video was recorded in 2 minute lengths every 10 minutes starting 1 hour before high tide, going to 1 hour after high tide, using cameras positioned approximately 18 inches off the substrate. PVC stakes were used to mark a 1 meter square of camera visibility and organisms observed within that 1 meter square were recorded.  For more information, see my chapter 1 thesis.

publicJan 2025View details →

Data from: Towards environmentally friendly finfish farming: A potential for mussel farms to compensate fish farm effluents

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publicJun 2024View details →

The negative association of sea lice from fish farms on recreational fishing catches of Atlantic salmon

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