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123 results for “environmental water”
Systematic review and meta-analysis: water type and temperature affect environmental DNA decay metadata
<p>Environmental DNA (eDNA) has been used in a variety of ecological studies and management applications. The rate at which eDNA decays has been widely studied but at present it is difficult to disentangle study-specific effects from factors that universally affect eDNA degradation. To address this, a systematic review and meta-analysis was conducted on aquatic eDNA studies. Analysis revealed eDNA decayed faster at higher temperatures and in marine environments (as opposed to freshwater). DNA type (mitochondrial or nuclear) and fragment length did not affect eDNA decay rate, although a preference for < 200 bp sequences in the available literature means this relationship was not assessed with longer sequences (<em>e.g.</em> > 800 bp). At present, factors such as ultraviolet light, pH, and microbial load lacked sufficient studies to feature in the meta-analysis. Moving forward, we advocate researching these factors to further refine our understanding of eDNA decay in aquatic environments. This dryad entry contains the metadata which formed the basis for the meta-analysis.</p>
Marine biodiversity patterns in coastal Australian waters revealed by a three-year environmental DNA survey
<p><strong>Aim</strong></p> <p>To test the capacity of eDNA to characterise the spatial and seasonal patterns found within a range of zooplankton communities, and investigate links with concurrent abiotic data collected as part of Australia's Integrated Marine Observing System (IMOS) programme.</p> <p><strong>Location</strong></p> <p>Samples were sourced seasonally for three years from nine Pan-Australian marine sites (n=90).</p> <p><strong>Methods</strong></p> <p>Here we apply a multi-assay metabarcoding approach to environmental DNA extracted from a rare long-term collection of bulk plankton samples. Six assays (targeting both the 16SrRNA and COI genes) were used to amplify and sequence the zooplankton diversity found within each sample. The data generated from each assay was filtered and clustered into OTUs prior to analysis. Abiotic IMOS data collected alongside the plankton collection enabled us to explore the physical and chemical drivers of community composition.</p> <p><strong>Results</strong></p> <p>The eDNA metabarcoding generated over 25 million sequences, identified in excess of 500 distinct taxa and detected clear spatial differences in marine metazoan communities. We found that site and sea surface temperature are the most consistent predictors of differences between zooplankton communities. We detected endangered and invasive species such as the bryozoan Membranipora membranace and the mollusc Maoricolpus roseus, and seasonal occurrences of species such as humpback whales (Megaptera novaeangliae). We also estimated the number of samples required to ensure robust marine eDNA metabarcoding biomonitoring programs into the future.</p> <p><strong>Main Conclusion</strong></p> <p>Our results demonstrate the ability of eDNA to capture and map zooplankton community changes in response to seasonal and spatial stressors and provide vital evidence to environmental stakeholders. We confirm that eDNA offers a practical opportunity for an ecosystem-wide approach to the long-term biomonitoring and understanding marine biomes where a morphological approach is not feasible.</p>
Figure 8 in The relationship between Sardinella aurita landings and the environmental factors in Moroccan waters (21°-26°N)
Figure 8. – Interannual trends of Sardinella aurita landings, SST, UI and Chl-a at latitude 22°N.
Figure 5 in The relationship between Sardinella aurita landings and the environmental factors in Moroccan waters (21°-26°N)
Figure 5. – Seasonal variability of Sardinella aurita landings in Dakhla port (2009-2016).
Figure 2 in The relationship between Sardinella aurita landings and the environmental factors in Moroccan waters (21°-26°N)
Figure 2. – Location of sampling areas of SST, Chl-a and UI data.
Figure 6 in The relationship between Sardinella aurita landings and the environmental factors in Moroccan waters (21°-26°N)
Figure 6. – Interannual trends of the SST (a) and Chl-a (b).
Figure 1 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 1. Map of sampling stations during 2013–2020 in the Romanian Black Sea area.
Figure 3 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 3. Black Sea temperature, salinity, and oxygen box plot by sector and season, 2013–2020.
Figure 2 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 2. Matrix of mesozooplankton abundance and biomass in 2013–2020, by seasons.
Figure 4 in Interactions between environmental factors and the mesozooplankton community from the Romanian Black Sea waters
Figure 4. Black Sea nutrients box plot by sector and season, 2013–2020.
Figure 2 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 2 Point Rosa Marsh along Lake St. Clair, Harrison Township, Michigan, USA. (A) Taken at
Figure 1 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 1 Map of Lake St. Clair Metropark with inset showing placement in the Lake St. Clair
Environmental drivers and distribution of cold-water corals in the global ocean - Habitat Suitability Models
<p><strong>Publication Abstract</strong></p> <p>Species distribution models (SDMs) are useful tools for identifying the distribution of marine species in data limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, quantitatively measuring the risk of bottom trawling, and evaluating protected areas for improving conservation management. Cold-water corals are globally distributed habitat forming organisms that are vulnerable to anthropogenic impacts and climate change, but data deficiency remains an ongoing issue for the effective spatial management of these important ecosystem engineers. In this study, we constructed 11 environmental seabed variables at 500m resolution based on the latest multi-depth global datasets and high-resolution bathymetry. Ensemble modeling methods were used to predict the global habitat suitability for ten widespread cold-water coral species, including six reef Scleractinian framework-forming species and four large gorgonian species. Temperature, depth, salinity, terrain ruggedness index, carbonate saturation state and chlorophyll were the most important factors in determining the global distributions of these species. The Scleractinian species <em>Madrepora oculata</em> showed the widest niche breadth, whilst most other species demonstrated somewhat limited niche breadth. The shallowest study species, <em>Oculina varicosa</em>, had the most distinctive niche of the group. The model outputs from this study represent the highest resolution global predictions for these species to date and are valuable in aiding the management, conservation and continued research into cold-water coral species.</p> <p><strong>Data description</strong></p> <p>These datasets (compressed Zip archives) contain the habitat suitability model outputs generated for the publication Tong et al., (2023) doi: 10.3389/fmars.2023.1217851, please refer to the manuscript for methodological details. These files are provided in an ArcGIS compatible TIFF format that is readable by various GIS packages and can be imported to R. </p> <p>AA.zip = <em>Acanella arbuscula</em><br> DP.zip = <em>Desmophyllum pertusum</em> (former and now unaccepted synonym <em>Lophelia pertusa</em>)<br> ER.zip = <em>Enallopsammia rostrata</em><br> GD.zip = <em>Goniocorella dumosa</em><br> MO.zip = <em>Madrepora oculata</em><br> OV.zip = <em>Oculina varicosa</em><br> PA.zip = <em>Paragorgia arborea</em><br> PP.zip = <em>Paramuricea placomus</em><br> PR.zip = <em>Primnoa resedaeformis</em><br> SV.zip = <em>Solenosmilia variabilis</em></p>
Environmental drivers and distribution of cold-water corals in the global ocean - Environmental Data Layers
<p><strong>Publication Abstract</strong></p> <p>Species distribution models (SDMs) are useful tools for identifying the distribution of marine species in data limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, quantitatively measuring the risk of bottom trawling, and evaluating protected areas for improving conservation management. Cold-water corals are globally distributed habitat forming organisms that are vulnerable to anthropogenic impacts and climate change, but data deficiency remains an ongoing issue for the effective spatial management of these important ecosystem engineers. In this study, we constructed 11 environmental seabed variables at 500m resolution based on the latest multi-depth global datasets and high-resolution bathymetry. Ensemble modeling methods were used to predict the global habitat suitability for ten widespread cold-water coral species, including six reef Scleractinian framework-forming species and four large gorgonian species. Temperature, depth, salinity, terrain ruggedness index, carbonate saturation state and chlorophyll were the most important factors in determining the global distributions of these species. The Scleractinian species <em>Madrepora oculata</em> showed the widest niche breadth, whilst most other species demonstrated somewhat limited niche breadth. The shallowest study species, <em>Oculina varicosa</em>, had the most distinctive niche of the group. The model outputs from this study represent the highest resolution global predictions for these species to date and are valuable in aiding the management, conservation and continued research into cold-water coral species.</p> <p><strong>Data description</strong></p> <p>These datasets (compressed Zip archives) contain the ten global environmental layers that were generated for the publication Tong et al., (2023) doi: 10.3389/fmars.2023.1217851, using a trilinear interpolation approach based on the 500m GEBCO bathymetric data product. These layers are representations of seafloor conditions. Please refer to the manuscript for methodological details. These files are provided in an ArcGIS compatible TIFF format that is readable by various GIS packages and can be imported to R. </p> <p>aoxu.zip = Apparrent Oxygen Utilization<br> diso2.zip = Dissolved Oxygen<br> nit.zip = Nitrate<br> oa.zip = Omega Aragonite<br> oc.zip = Omega Calcite<br> ph.zip = pH<br> phos.zip = Phosphate<br> sal.zip = Salinity<br> sil.zip = Silicate<br> temp.zip = Temperature</p>
Data from: Refining sampling efforts for fish diversity assessment in subtropical urban estuarine and oceanic waters using environmental DNA with multiple primers
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Warming increases environmental DNA (eDNA) removal rates in flowing waters
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Genome-scale target capture of mitochondrial and nuclear environmental DNA from water samples
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Marine biodiversity patterns in coastal Australian waters revealed by a three-year environmental DNA survey
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Systematic review and meta-analysis: water type and temperature affect environmental DNA decay metadata
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Revealing elasmobranch distributions in turbid coastal waters: insights from environmental DNA and particle tracking
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Allen Brain Atlas
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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.