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57 results for “aquatic environment”
Efficacy and fate of fluridone applications for control of invasive submersed aquatic vegetation in the estuarine environment of the Sacramento-San Joaquin Delta
We conducted a study in the Sacramento-San Joaquin Delta to determine efficacy of the widely used herbicide fluridone in an estuarine ecosystem. The primary goal of SAV removal was restoration of open water habitat for endangered Hypomesus transpacificus (Delta Smelt). Over 18 months and multiple sets of multi-week fluridone applications, we monitored concentrations of fluridone and responses by SAV across pairs of treated and reference sites. Fluridone concentrations in the water were generally below the 2-5 parts per billion required for SAV control. Monitoring demonstrated these low water concentrations were likely due to dissipation by tides, despite use of pelleted fluridone formulations marketed for flowing water environments. Fluridone did, however, accumulate in sediment at concentrations hundreds of times higher than those measured in the water. Nonetheless, we did not observe lasting reductions in SAV abundance or changes in SAV community composition. By demonstrating lack of efficacy of one of the few herbicides permitted for use in this estuary, this study highlights the need for development of SAV management tools tailored to the challenges of hydrologically complex environments like estuaries.
Curated mode-of-action data and effect concentrations for chemicals relevant for the aquatic environment
<p>Chemicals in the aquatic environment can be harmful to organisms and ecosystems. Knowledge on effect concentrations as well as on mechanisms and modes of interaction with biological molecules and signaling pathways is necessary to perform chemical risk assessment and identify toxic compounds. To this end, we developed criteria and a pipeline for harvesting and summarizing effect concentrations from the US ECOTOX database for the three aquatic species groups algae, crustaceans, and fish and researched the modes of action of more than 3,300 environmentally relevant chemicals in literature and databases. We provide a curated dataset ready to be used for risk assessment based on monitoring data and the first comprehensive collection and categorization of modes of action of environmental chemicals. Authorities, regulators, and scientists can use this data for the grouping of chemicals, the establishment of meaningful assessment groups, and the development of <em>in vitro</em> and <em>in silico</em> approaches for chemical testing and assessment.</p> <p> </p> <p> </p>
Sampling sites where ecological indices were used to assess the impact of different environmental stressors in aquatic environments in Argentina
Dataset is a compilation of all sampling sites of articles where ecological indices were used to assess the impact of different environmental stressors in aquatic environments from Argentina. Points of this dataset were extracted from 78 papers published between 1996 and 2018. We selected articles that use ecological indices to analyze some local environmental problematics or stressors. Using the type of index from each article we performed the kml file, which contained the categorized sampling sites by different symbols according to the ecological index: physico-chemical, biological, geomorphological and multimetric. We carried out a map (shapefile) with all the sampling sites referenced to the ecoregions of Argentina proposed by Burkart (1999).
Effects of biotic (shrimp) and abiotic (discharge) factors on the depositional environment quantified in a montane stream in Puerto Rico. (Shrimp/Algae/Can J. Fish Aquat. Sci. (1994))
Effects of biotic (shrimp) and abiotic (discharge) factors on the depositional environment were quantified in a montane stream in Puerto Rico. Electricity was used experimentally to exclude large (approximately >1cm in length) biota without artificially increasing sedimentation as in cage enclosure/exclosure experiments in stream systems. Shrimp (>1cm in length) were excluded from substrata by semicircular fence hooked up to battery-powered fence chargers which emitted continuous pulses of electricity. Unelectrified control substrata had natural high densities of atyid shrimp. Significantly greater masses of total sediment, fine and large organic particles, and algal biovolume occurred in shrimp exclusion treatments relative to controls. Shrimp exclusion treatments experienced slow and steady accumulation of sediments under base flow conditions and a large stepwise increase in sediment following a storm. No measurable sediment accrued in the presence of natural densities of shrimp under base flow conditions. Shrimp rapidly removed sediments that accrued during the storm (440-620 g*m2 dry mass-1), decreasing sediment mass in control treatments to near prestorm levels (5-13 g*m2 dry mass-1) within 30 h. Atyid shrimp can significantly affect the accumulation of organic and inorganic materials on rock substrata in stream pools between high-discharge events. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Data on submerged aquatic vegetation and its water environment in Lake Saint-Pierre, Saint Lawrence River, from 2012 to 2016
<p>This dataset is the result of a large collaborative work lead by the GRIL from 2012 to 2015 on a submerged aquatic vegetation meadow located downstream of two agricultural tributaries (Saint-François and Yamaska rivers) in Lake Saint-Pierre, a fluvial lake of the Saint Lawrence River. The data describe plants (as rake biomass and echosounding) and their environment, including water chemistry, current velocity as well as light, temperature and instantaneous meteo. Only echosounding data are available in 2016 and sediments were collected in 2015. Data are organized as a relational database and the GRIL_LSP_database.png provides keys and links between tables as well as data format. Data are in the tables mesure_integree, mesure_spatiale, mesure_verticale, plante_biomass_taxon, plante_recolte, plante_in_situ. The other tables are metadata about spatiotemporal locations and reported measures. Additional data (e.g. zooplankton, sediments) should eventually be made available and associated to this overall GRIL dataset.</p>
Figure 8 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 8. Relationships between values of distribution coefficients (Kd Shell/Water Zn (A), Kd Shell/Water Sr (B) and Kd Shell/Water Al (C)) and principal component 1, revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 6. Normed PCA factorial graph F1 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 6. Normed PCA factorial graph F1 × F2 of two revealed geographical groups of Beringiana beringiana samples (blue circles indicate samples from Primorsky Krai, Kunashir, Sakhalin, and Iturup islands; red circles indicate samples from Kamchatka Peninsula). Ellipses show 95 % confidence interval.
Figure 5 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 5. Relationships between Kd Shell/Sediment Al and Kd Shell/Water Al: (1) Peschanoye Lake, Kunashir Island, (2) Bolshoye Vavayskoye Lake, Sakhalin Island, (3) Vaskovskoye Lake, Primorsky Krai, (4) Lebedinoe Lake, Iturup Island, (5) Kurazhechnoye Lake, Kamchatka Peninsula, (6) Khalaktyrskoye Lake, Kamchatka Peninsula, (7) Chernoye Lake, Sakhalin Island.
Figure 4 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 4. Median joining networks of Beringiana beringiana (N = 50) based on the COI gene fragment. The circle size is proportional to the number of available sequences belonging to the given haplotype (the smallest = 1 sequence). The red numbers near branches indicate the number of nucleotide substitutions between haplotypes.
Figure 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 2. Shells of Beringiana beringiana specimens, collected from studied waterbodies: A – Kurazhechnoye Lake, Kamchatka Peninsula (voucher number RMBH biv1212/2), B – Vaskovskoye Lake, Primorsky Krai (RMBH biv1181/1), C – Lebedinoye Lake, Iturup Island (RMBH biv1254/2), D – Bolshoye Vavayskoye Lake, Sakhalin Island (RMBH biv1250/1), E - Peschanoye Lake, Kunashir Island (RMBH biv1251/1), F – Khalaktyrskoye Lake, Kamchatka Peninsula (RMBH biv1213/3). Scale bar = 50 mm.
Figure 1 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 1. Map of the studied region. Lakes: (1) Kurazhechnoye, Kamchatka Peninsula (n = 5), (2) Khalaktyrskoye, Kamchatka Peninsula (n = 5), (3) Lebedinoye, Iturup Island (n = 3), (4) Peschanoye, Kunashir Island (n = 3), (5) Chernoye, Sakhalin Island (n = 3), (6) Bolshoye Vavayskoye, Sakhalin Island (n = 3), (7) Vaskovskoye, Primorsky Krai (n = 3). n reveals the number of collected shells of Beringiana beringiana.
Figure 3. Principal components 1 and 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 3. Principal components 1 and 2 visualized by drawing synthetic outlines of extreme (±2SD) and mean shell shapes of Beringiana beringiana. The umbo position marked by star.
Figure 11 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 11. Relationships between values of KAl and longitudinal cross-sectional area of shell (mm2), d Shell/Sediment revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 7 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 7. Relationships between Ca-normalized concentration of zinc in shells and principal component 1, (A), copper in shells and principal component 1 (B), revealed from the shell shape analysis of Beringiana beringiana: (1) Peschanoye Lake, Kunashir Island, (2) Lebedinoe Lake, Iturup Island, (3) Bolshoye Vavayskoye Lake, Sakhalin Island, (4) Kurazhechnoye Lake, Kamchatka Peninsula, (5) Vaskovskoye Lake, Primorsky Krai, (6) Khalaktyrskoye Lake, Kamchatka Peninsula.
Figure 10 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 10. Relationships between values of Kd Shell/Water Al (A), Kd Shell/Water P (B), Kd Shell/Water Fe (C) and longitudinal cross-sectional area of shell (mm2), revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Figure 9 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 9. Relationships between Zn: Ca – ratio in Beringiana beringiana shells and longitudinal cross-sectional area of shell (mm2), revealed from shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
Data from: Behavioural and fitness effects of translocation to a novel environment: whole-lake experiments in two aquatic top predators
<p>Translocation into a novel environment through common fisheries-management practices, such as fish stocking, provides opportunities to study behavioural and fitness impacts of translocations at realistic ecological scales. The process of stocking, as well as the unfamiliarity with novel ecological conditions and the interactions with resident fish may affect translocated individuals, leading to alterations of behaviours and causing fitness impacts.</p> <p>Our objectives were to investigate how aquatic top-predators behaviourally establish themselves and compete with resident individuals following introduction in a novel lake environment and to investigate the resulting fitness consequences.</p> <p>Using high-resolution acoustic telemetry, we conducted whole-lake experiments and compared the activity, activity-space size and fate of translocated and resident individuals in two model top predators, northern pike (Esox lucius, n = 160) and European catfish (Silurus glanis, n = 33). Additionally, we compared the reproductive fitness of translocated and resident northern pike. The experiment was conducted with large (adult) individuals of different origins, resilient to predation, but subject to agonistic interactions and competition with resident fish.</p> <p>Over a period of several months, the translocated catfish exhibited consistently larger activity-space sizes than resident catfish, but did not differ from residents in activity and survival. The pike from one of the two translocated origins we tested also showed elevated space-use, and both translocated origins revealed higher mortality rates than their resident conspecifics, indicating maladjustment to their novel environment. When non-resident pike reproduced, they overwhelmingly produced hybrid offspring with resident fish, indicating that introductions fostered gene flow of non-native genes.</p> <p>Our study indicates that fish introductions result in behavioural and fitness impacts even in large-bodied top predators that experience low levels of natural predation risk. </p>
Sample preservation methods for nitrous oxide concentration and isotope ratio measurements in aquatic environments
<p>This is the raw data for the method paper submitted in Limnology and Oceanography: Methods titled "Sample preservation methods for nitrous oxide concentration and isotope ratio measurements in aquatic environments".</p>
Suspect Screening and Non-targeted Analysis of Chemical Pollutants in Botswana's Aquatic Environments
<p>Raw HRMS data associated with the paper titled </p> <p><strong><span>"Suspect Screening and Non-targeted Analysis of Chemical Pollutants in Botswana’s Aquatic Environments"</span></strong></p>
Data from: Passive sampling of environmental DNA in aquatic environments using 3D-printed hydroxyapatite samplers
<p>The study of environmental DNA released by aquatic organisms in their habitat offers a fast, non-invasive and sensitive approach to monitor their presence. Common eDNA sampling methods such as water filtration and DNA precipitation are time consuming, require difficult-to-handle equipment and partially integrate eDNA signals. To overcome these limitations, we created the first proof of concept of a passive, 3D-printed and easy-to-use eDNA sampler. We designed the samplers from hydroxyapatite (HAp samplers), a natural mineral with a high DNA adsorption capacity. The porous structure and shape of the samplers were designed to optimise DNA adsorption and facilitate their handling in the laboratory and in the field. Here we show that HAp samplers can efficiently collect genomic DNA in controlled set-ups, but can also collect animal eDNA under controlled and natural conditions with yields similar to conventional methods. However, we also observed large variations in the amount of DNA collected even under controlled conditions. A better understanding of the DNA-hydroxyapatite interactions on the surface of the samplers is now necessary to optimise the eDNA adsorption and to allow the development of a reliable, easy-to-use and reusable eDNA sampling tool.</p>
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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.