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73 results for “shallow lake”
Fig. 6 in Biology of growth of Hoplias aff. malabaricus (Bloch, 1794) in a shallow pampean lake (Argentina)
Fig. 6. Von Bertalanffy growth curves of trahira Hoplias aff. malabaricus obtained by several studies in South America (see Table 2 for sources information): Yalca summer group 1, Y1; Yalca spring group, Y2; Chascomús, C; Indio Muerto, IM; Monte, M; Lobos, L; Cienaga Grande de Lorica, CGL; Amanari Maranguepe female, AM f; Amanari Maranguepe male, AM m.
Fig. 3 in Biology of growth of Hoplias aff. malabaricus (Bloch, 1794) in a shallow pampean lake (Argentina)
Fig. 3. Frequency distribution of total lengths of the trahira Hoplias aff. malabaricus captured during the entire sampling period.
Fig. 5 in Biology of growth of Hoplias aff. malabaricus (Bloch, 1794) in a shallow pampean lake (Argentina)
Fig. 5. Trahira annual variation of observed individual Gonadosomatic index (GSI) and its respective fitted model, and expanded condition index (Knexp) curve (a). Mean relative marginal-increment scale index (MI%) and its respective standard deviations at each sampling date with the corresponding fitted model. Asterisk in MI (%) curve indicates the mean date of ring formation. Different letters below the MI% mean values indicate significant differences (p<0.05) (b).
Fig. 1 in Biology of growth of Hoplias aff. malabaricus (Bloch, 1794) in a shallow pampean lake (Argentina)
Fig. 1. Geographical location of Yalca Lake and its geographical position in south America. The sampling stations in the lake are indicated.
Fig. 1 in Trophic interactions among sympatric zooplanktivorous fish species in volume change conditions in a large, shallow, tropical lake
Fig. 1. Lake Chapala, Mexico. Numbers in bold represent the sampling sites, in italics depths contours (m).
Climate-associated variation in the drivers of benthic macroinvertebrate species-area relationships across shallow freshwater lakes
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Fig. 1 in Temporal variations of larval digenean assemblages parasitizing Heleobia parchappii (Mollusca: Cochliopidae) in two shallow lakes from the Buenos Aires province, Argentina
Fig. 1. Sampling sites in the Buenos Aires province, Argentina.
Salinity variation with water level in shallow lakes
<p>This dataset and associated R code describes water level and salinity data collected by the Department of Biodiversity Conservation and Attractions and its predecessors as part of the South-West Wetland Monitoring Program (SWWMP). SWWMP measured 152 lakes on multiple occassions between 1977 - 2019. The R code presents analyses of this data and associated groundwater quality and streamflow. The dataset consists of the following:</p> <p><strong>Water_Data.csv</strong></p> <p>A comma delimited ascii file containing the following columns of data.</p> <p>Code: A string denoting the lake identifier.</p> <p>Date: dd/mm/yyyy</p> <p>Depth (m): Lake water depth, relative to its deepest point.</p> <p>Salinity (ppt): g/L estimated from electrical conductivity measurments. </p> <p><strong>Salinity_variation_shallow_lakes.R</strong></p> <p>An R script for the analysis and interpreation of salinity vs water level data, utilising the data files included here.</p> <p><strong>Dulbinning_StageDischarge.csv</strong></p> <p>A comma delimited ascii file containing the following columns of data.</p> <p>Date,Depth (m),Salinity (mg/L)</p> <p>Date: dd/mm/yyyy</p> <p>Depth (m): Lake water depth, relative to its deepest point.</p> <p>Salinity (mg/L): Stream salinity.</p> <p>Q (Ml/day): Daily discharge from Department of Water and Environmental Regualtion stream gauge.</p> <p>EC (uS/cm): Stream electrical conductivity.</p> <p>d: Adjusted lake depth (m) relative to threshold depth at which streamflow is initiated.</p> <p>Q: Stream discharge (ML/day)</p> <p><strong>SiteSummary.xlsx</strong></p> <p>A Microsoft excel file with four sheets.</p> <p>Sheet 1: Data, containing the following columns.</p> <p>Code: A string denoting the lake identifier.</p> <p>Name: A string. The full lake name.</p> <p>Reserve_Name: A string. The full name of the nature reserve (if any) containing the lake.</p> <p>Easting: UTM easting in meters.</p> <p>Northing: UTM northing in meters.</p> <p>Zone: UTM zone.</p> <p>Longitude: decimal degrees.</p> <p>Latitude: decimal degrees.</p> <p>Bathy_Beta: Bathymetry exponent.</p> <p>StreamOutflow Level (m): estimate of level (relative to lake bottom) stream outflow is inititiated from bathymetry data.</p> <p>Lake Overflow level (m): estimate of level (relative to lake bottom) lake overtops its banks.</p> <p>model: prior expectation of the pattern of salinity variation with water level as estimated visually from the data.</p> <p>Soil_types: String describing the soil classes adjacent the lake described by Department of Primary Industries and Regional Development</p> <p>Inflow stream: Whether a stream geomorphic feature was seen in aerial imagery flowing into the lake and its type, None if no stream seen, perrenial if observed as wide and full of water, ephemeral if a dry stream feature with riparian vegetation seen.</p> <p>Outflow stream: Whether a stream geomorphic feature was seen in aerial imagery flowing from the lake and its type, None if no stream seen, perrenial if observed as wide and full of water, ephemeral if a dry stream feature with riparian vegetation seen. Outflow DWER gauge: Department of Water and Environmental Regulation stream gauge identifier.</p> <p>Aridity: ratio of annual potentia evaporation to annual rainfall.</p> <p>P_ann: Annual rainfall in mm.</p> <p>E_ann: Annual potential evaporation in mm.</p> <p> </p> <p>Sheet 2: Data Description is a briefer version of the data description for Sheet 1 as detailed above.</p> <p> </p> <p>Sheet 3: BEVE n-Q</p> <p>Lake water level data from Lake Beverly and DWER gauged streamflow at the outlet of Lake Beverly.</p> <p> </p> <p>Sheet 4: STAT n-Q</p> <p>Lake water level data from Station Lake and DWER gauged streamflow at the outlet of Station Lake.</p>
Data from: Watershed versus within-lake drivers of nitrogen: phosphorus dynamics in shallow lakes
Research on lake eutrophication often identifies variables affecting amounts of phosphorus (P) and nitrogen (N) in lakes, but understanding factors influencing N:P ratios is important given its influence on species composition and toxin production by cyanobacteria. We sampled 80 shallow lakes in Minnesota (USA) for three years to assess effects of watershed size, proportion of watershed as both row crop and natural area, fish biomass, and lake alternative state (turbid versus clear) on total N: total P (TN:TP), ammonium, total dissolved phosphorus (TDP), and seston stoichiometry. We also examined N:P stoichiometry in 20 additional lakes that shifted states during the study. Lastly, we assessed importance of denitrification by measuring denitrification rates in sediment cores from a subset of 34 lakes, and by measuring seston δ15N in four additional experimental lakes before and after they were experimentally manipulated from turbid to clear states. Results showed alternative state had the largest influence on overall N:P stoichiometry in these systems, as it had the strongest relationship with TN:TP, seston C:N:P, ammonium, and TDP. Turbid lakes had higher N at given levels of P than clear lakes, with TN and ammonium two-fold and 1.4-fold higher in turbid lakes, respectively. In lakes that shifted states, TN was three-fold higher in turbid lakes, while TP was only two-fold higher, supporting the notion N is more responsive to state shifts than is P. Seston δ15N increased after lakes shifted to clear states, suggesting higher denitrification rates may be important for reducing N levels in clear states, and potential denitrification rates in sediment cores were among the highest recorded in the literature. Overall, our results indicate lake state was a primary driver of N:P dynamics in shallow lakes, and lakes in clear states had much lower N at a given level of P relative to turbid lakes, likely due to higher denitrification rates. Shallow lakes are often managed for the clear-water state due to increased value as wildlife habitat. However, our results indicate lake state also influences N biogeochemistry, such that managing shallow lakes for the clear-water state may also mitigate excess N levels at a landscape scale.
Field Data associated with study: Investigating the water movements around a shallow shipwreck in Big Tub Harbour of Lake Huron: implications for managing underwater shipwrecks.
<p>Field data (Water temperature, pressure, currents, summary of boat presence data) used in analysis of the study (and paper with the same name) titled: Investigating the water movements around a shallow shipwreck in Big Tub Harbour of Lake Huron: implications for managing underwater shipwrecks.</p>
Creating new littoral zones in a shallow lake to forward-restore an aquatic food web
<p>Freshwater fish communities typically thrive in heterogenous ecosystems that offer various abiotic conditions. However, human impact increasingly leads to loss of this natural heterogeneity and its associated rich fish communities. To reverse this trend, we need guidelines on how to effectively restore or recreate habitats for multiple fish species. Lake Markermeer in the Netherlands is a human-created 70,000-ha lake with a uniform 4 m-water depth, steep shorelines, high wind-induced turbidity, and a declining fish community. In 2016, a forward-looking restoration project newly created a 1000-ha five-island archipelago in this degrading lake, which offered new sheltered shallow waters and deep sand excavations to the fish community. In 2020, we assessed how omnivorous and piscivorous fish species used these new habitats by tracking 78 adult fish of five key species across local and lake scales. We monitored spring arrival of adult fish and assessed local macro-invertebrate and young-of-the-year fish densities. Adult omnivorous Cyprinidae and piscivorous Percidae arrived at the archipelago in early spring, corresponding with expected spawning movements. During the productive summer season, 12 species of young-of-the-year fish appeared along the sheltered shorelines, with particularly high densities of common roach (<em>Rutilus rutilus</em>) and European perch (<em>Perca fluviatilis</em>). This suggests the sheltered, shallow, vegetated waters formed new suitable spawning and recruitment habitat for the fish community. Despite the highest food densities for adult fish in the shallowest habitats (< 2-m), adult fish preferred minimally 2-m deep water. After spawning, most Cyprinidae left the archipelago and moved long distances through the lake system, while most Percidae remained resident. This may be related to (1) high densities of young-of-the-year fish as food for piscivores, (2) medium food densities for omnivores compared to elsewhere in the lake-system, or (3) the attractiveness of 30-m deep sand excavations that were newly created and frequently used by one-third of all tracked fish. New littoral zones and a deep sand excavation constructed in a uniform shallow lake that lacked these habitat types attracted omnivorous and piscivorous fish species within four years. Both feeding guilds used the littoral zones for reproduction and nursery, and notably piscivorous fish became residents year-round.</p>
Data from: Habitat heterogeneity overrides local processes to drive the species-area relationship of benthic macroinvertebrates in shallow floodplain lakes
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Data from: Watershed versus within-lake drivers of nitrogen: phosphorus dynamics in shallow lakes
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Creating new littoral zones in a shallow lake to forward-restore an aquatic food web
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Regime shifts in a shallow lake: Consequences for taxonomic and functional diversity, and ecosystem multifunctionality
<ol> <li>Under increasing nutrient loading, shallow lakes may shift from a state of clear water dominated by submerged macrophytes to a turbid state dominated by phytoplankton or a shaded state dominated by floating macrophytes. How such regime shifts mediate the relationship between taxonomic and functional diversity and lake multifunctionality is poorly understood.</li> <li>We employed a detailed database describing a shallow lake over a 12-year period during which the lake has displayed all the three states (clear, turbid, and shaded) to investigate how species richness, functional diversity of fish and zooplankton, ecosystem multifunctionality, and five individual ecosystem functions (nitrogen and phosphorus concentrations, standing fish biomass, algae production, and light availability) differ among states. We also evaluated how the relationship between biodiversity (species richness and functional diversity) and multifunctionality is affected by regime shifts.</li> <li>We showed that species richness and the functional diversity of fish and zooplankton were highest during the clear state. The clear state also maintained the highest values of multifunctionality as well as standing fish biomass production, algae production, and light availability, whereas the turbid and shaded states had higher nutrient concentrations. Functional diversity was the best predictor of multifunctionality. The relationship between functional diversity and multifunctionality was strongly positive during the clear state, but such relationship became flatter after the shift to the turbid or shaded state.</li> <li>Our findings illustrate that focusing on functional traits may provide a more mechanistic understanding of how regime shifts affect biodiversity and the consequences for ecosystem functioning. Regime shifts towards a turbid or shaded state negatively affect the taxonomic and functional diversity of fish and zooplankton, which in turn impairs the multifunctionality of shallow lakes.</li> </ol>
Sinking efficiency of cyanobacteria-derived particulate organic carbon from one eutrophic lake and global perspectives on carbon burial flux in subtropical shallow lakes
<p>It is the data that support the findings entitled "Sinking efficiency of cyanobacteria-derived particulate organic carbon from one eutrophic lake and global perspectives on carbon burial flux in subtropical shallow lakes” </p>
FIGURES 1–12 in Morphological variability of stomatocyst 131 Pang & Wang (Chrysophyceae) from a freshwater shallow lake in South Urals, Russia
FIGURES 1–12. Morphological variability of stomatocyst 131 Pang & Wang from the Lake Zhurmankol (SEM). Figs. 1–6. Immature stomatocysts. Note the different stages of hexagonal pattern development. Figs. 7–9. Mature stomatocysts with fully developed hexagonal pattern and high mesh edges. Figs. 10–12. Structure of the pore-collar complex. Note a regular pore surrounded by a planar annulus. Scale bars: 1 μm.
Distribution. Coastal areas and large inland rivers of West Africa from the Senegal River at the Mauritania—Senegal border S to the Longa River in Angola. They occur as far as 2000 km from the ocean in the Inner Niger Delta of Mali, up to 75 km off the continental shore in the shallows and mangrove creeks of the Bijagos Archipelago of Guinea-Bissau, and as far E as Lake Tréné in Chad; formerly in Lake Chad itself. in Trichechidae
Distribution. Coastal areas and large inland rivers of West Africa from the Senegal River at the Mauritania—Senegal border S to the Longa River in Angola. They occur as far as 2000 km from the ocean in the Inner Niger Delta of Mali, up to 75 km off the continental shore in the shallows and mangrove creeks of the Bijagos Archipelago of Guinea-Bissau, and as far E as Lake Tréné in Chad; formerly in Lake Chad itself.
Thermal mixing regimes in ponds and shallow lakes
<p>Lakes are classified by thermal mixing regimes, with shallow waterbodies historically categorized as continuously mixing systems. Yet, recent studies demonstrate extended summertime stratification in ponds, underscoring the need to reassess thermal classifications for shallow waterbodies. To evaluate the mixing regimes of shallow waters, we measured summertime thermal dynamics in 34 ponds and shallow lakes across temperate North America and Europe. This dataset provides a time series dataset of water temperatures across the water column along with characteristics of each study waterbody, including some physical, chemical, and biological parameters. This dataset accompanies a manuscript entitled "Classifying mixing regimes in ponds and shallow lakes," published in Water Resources Research (10.1029/2022WR032522).</p>
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925). in Muridae
Distribution. Now restricted to the Channel Country of SW Queensland and the Lake Eyre Basin in NE South Australia. Descriptive notes. Head-body 95-120 mm, tail 105-160 mm, ear 23-29 mm, hindfoot 32-37 mm; weight 30-50 g. The Fawn Hopping Mouse has body form typical of hopping mice, with very long hindfeet, long tail with distal brush of longer hairs, very long ears, and large protruberant eyes. Dorsal fur is of variable color, from pale pinkish fawn to gray; ventral fur white. Unlike most other hopping mice, it has no throat pouch, but males have a glandular area of naked skin on the chest. Habitat. Occurs in low shrublands and tussock grasslands on stony ("gibber") plains and claypans. Shows marked habitat segregation from the Dusky Hopping Mouse (N. fuscus), which is closely associated with sandy substrates. Food and Feeding. The Fawn Hopping Mouse is mostly granivorous, but also eats other plant material (stems, leaves) and occasionally invertebrates. It uses succulent, salt-adapted plants around edges of claypans as a source of water. Breeding. Reproduction is probably largely opportunistic and aseasonal, with high reproductive output from near-continuous breeding after periods of high rainfall; reported littersize is 1-5, most commonly three; gestation period 38-43 days for nonlactating females. Females may mature later than other hopping mice, with reproductive maturity reached at about six months. Activity patterns. Terrestrial and nocturnal. Fawn Hopping Mice shelter during day in burrow systems that are typically simpler and shallower than those of other hopping mice. Movements, Home range and Social organization. Fawn Hopping Mice generally live singly or in small groups; typically uncommon within range, but population density may increase by an order of magnitude following periods of high rainfall. Status and Conservation. Classified as Near Threatened on The IUCN Red List. The Fawn Hopping Mouse has shown marked decline in range (estimated at greater than 50%), and presumably population size, since European settlement of Australia. This is mostlikely due to predation by the introduced house cat and Red Fox (Vulpes vulpes), and to habitat degradation associated with pastoralism. Bibliography. Brazenor (1934), Burbidge et al. (2008), Finlayson (1939), Gould (1853), Jackson & Groves (2015), Murray et al. (1999), Ogilby (1892), Thomas (1921h), Van Dyck & Strahan (2008), Waite (1898), Watts & Aslin (1981), Woinarski et al. (2014), Wood Jones (1925).
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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.