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619 results for “estuarine”
Data from: Ecological forensic testing: Using multiple primers for eDNA detection of marine vertebrates in an estuarine lagoon subject to anthropogenic influences
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Vulnerability of estuarine systems in the contiguous United States to water quality change under future climate and land-use
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Data from: Hypoxia disrupts sex-specific physiology and gene expression leading to decreased fitness in the estuarine sea anemone Nematostella vectensis
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Developmental temperature, more than long-term evolution, defines thermal tolerance in an Estuarine Copepod
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Long-term data reveal widespread phenological change across major U.S. estuarine food webs
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Laboratory measurements of nitrous oxide production rates in agricultural soils from Lancaster, PA, estuarine sediments from the Scheldt Estuary Belgium/Netherlands, and estuarine soils from the Delaware River NJ under gradients of physicochemical perturbation
A set of experiments was performed to test 1) how various physicochemical perturbations (salinity, zinc, temperature, soil moisture, and pH) influenced denitrification and nitrous oxide production on short timescales (<1 day) in agricultural soils from Lancaster, PA, USA, 2) how variation in a single parameter (salinity) influenced rates of denitrification and nitrous oxide production in sediments that experience a range in that parameter (tidal freshwater, oligohaline, and mesohaline estuarine sediments from the Scheldt River estuary Belgium/Netherlands) on short timescales (< 1 day), and 3) how denitrification and nitrous oxide production along with key functional gene expression in tidal freshwater estuarine soils from the Delaware River, NJ, USA responded to a long-term (6 month) change in a single parameter (salinity) in a press experiment with subsequent short-term (< 1 day) pulses. In the final long-term experiment, nitrite reductase (nirS) and nitrous oxide reductase (nosZ) gene expression were also measured at three timepoints (days 7, 35, and 110).
Multidecadal Time Series of Measured Chlorophyll-a in Lakes and Estuarine-Coastal Ecosystems, 1966-2024
The photosynthetic pigment chlorophyll-a is a commonly measured index of phytoplankton biomass and water quality across all aquatic ecosystem types. Some monitoring and research programs have sustained chlorophyll-a measurements for decades at monthly or higher frequency. Each of these time series is an invaluable record of phytoplankton variability at a particular location. The patterns of that variability have been essential for identifying the underlying processes of phytoplankton change at time scales of days, months, seasons, years and decades. Multidecadal series are rare and valuable because they provide empirical records of phytoplankton changes over the recent decades of unprecedented global change. These records also provide an empirical basis for comparing patterns and rates of change across geographic regions and ecosystem types. This data package contains multidecadal time series of measured chlorophyll-a concentration in three ecosystem types: 134 freshwater lakes (including a small number of reservoirs) that do not freeze; 78 high latitude lakes that do freeze; and 176 coastal ecosystems defined as water bodies where freshwater and seawater mix, including estuaries, coastal bays and lagoons, tidal rivers, and the Baltic Sea. Although there are other published compilations of chlorophyll-a time series, this package was compiled specifically to report observations made at monthly or higher frequency and sustained over multiple decades. The mean time series duration in this package is 33 years, and the mean number of sampling dates per site was 503 (range 186 to 2381). Thus, this data package provides an empirical basis for analyses to measure and compare decadal-scale patterns and rates of phytoplankton biomass variability between inland lakes and water bodies at the land-ocean interface. All chl-a measurements reported here were accessed from published repositories, except these four sites. We acknowledge and thank the following data providers for perm
Meiobenthos abundance. Long-term variability and dynamics of estuarine meiobenthic populations for North Inlet Estuary, South Carolina, from 1972 to 1992, North Inlet LTER (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/350/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/6/1. The abstract below was extracted from the Level 0 data package and is included for context: The original purpose of this research was to determine if natural meiobenthic assemblages exhibited continuity over time and to monitor several physical variables to determine if these influenced long-term temporal patterns. The most recent study focused on variation and the relations of meiobenthos abundance with environmental factors over 11 years. Typically marine benthic community studies are limited temporally and the majority of previously published 'longterm' meiofauna results (all taxa) were based on about a year's duration.
Model data for "Flow Separation and Increased Drag Coefficient in Estuarine Channels with Curvature"
<p>These are the model data we generated using ROMS and analyzed for the journal article "Increased Drag Coefficient in Estuarine Channels with Curvature". Files include 8 sinuous channel models and 2 straight channels. sinuous_channel_1.nc and straight_channel_1.nc are the pair of models analyzed in section 3. sinuous_channel_1_avg.nc and straight_channel_1_avg.nc are the one-hour average result. sinuous_channel_2_avg.nc and straight_channel_2_avg.nc are the pair of deep channel models. sinuous_channel_3_avg.nc and others are the other different sinuous channel models.</p>
Zonation of mangrove flora and fauna in a subtropical estuarine wetland based on surface elevation
<p>In the context of sea-level rise (SLR), an understanding of the spatial distributions of mangrove flora and fauna is required for effective ecosystem management and conservation. These distributions are greatly affected by tidal inundation, and surface elevation is a reliable quantitative indicator of the effects of tidal inundation. Most recent studies have focused exclusively on the quantitative relationships between mangrove-plant zonation and surface elevation, neglecting mangrove fauna. Here, we measured surface elevation along six transects through the mangrove forests of a subtropical estuarine wetland in Zhenzhu Bay (Guangxi, China), using a real-time kinematic global positioning system. We identified the mangrove plants along each transect and investigated the spatial distributions of arboreal, epifaunal, and infaunal molluscs, as well as infaunal crabs, using traditional quadrats. Our results indicated that 97.3% of all mangrove forests in the bay were distributed within the 400–750 m intertidal zone, between the local mean sea level and mean high water (119 cm above mean sea level). Mangrove plants exhibited obvious zonation patterns, and different species tended to inhabit different niches along the elevation gradient: <i>Aegiceras corniculatum</i> dominated in seaward locations while <i>Lumnitzera racemosa</i> dominated in landward areas. Mangrove molluscs also showed distinct patterns of spatial zonation correlated with surface elevation, independent of life-form and season; the spatial distributions of some molluscs were influenced by the relative abundances of certain mangrove plants. In contrast, the spatial distributions of crabs in the bay were not correlated with surface elevation. To the best of our knowledge, this is the first study to explicitly quantify the influences of surface elevation on the spatial distributions of mangrove fauna in the intertidal zone. This characterization of the vertical ranges of various flora and fauna in mangrove forests provides a basic framework for future studies aimed at predicting changes in the structure and functions of mangrove forests in response to SLR.</p>
Size-dependent predation and intraspecific inhibition of an estuarine snail feeding on oysters
<p><span>Predator outbreaks have increased in the past two decades in many ecosystems and are predicted to become more common with climate change. During these outbreaks, predator densities increase rapidly, and can cause large reductions in prey populations or shifts in prey size structure. However, unexpected interactions may occur at high predator densities, necessitating a mechanistic understanding of how increased predator density affects predator-prey dynamics. In the northern Gulf of Mexico, outbreaks of southern oyster drill (<i>Stramonita haemastoma</i>, Linnaeus, 1767) occur during high salinity events, and can greatly reduce eastern oyster (<i>Crassostrea virginica</i>, Gmelin, 1791) populations. A large outbreak of drills occurred from 2013—2015 in Apalachicola Bay, FL which corresponded with an oyster fishery collapse in that bay. To improve our mechanistic understanding of predation during such a high-density outbreak, laboratory experiments based on field observations were used to quantify the prey size selection by drills and the drill functional response, as a function of drill abundance. Drills fed on medium-sized oysters (50-75 mm) more often than small and larger-sized oysters, and often formed aggregations during feeding events. However, despite this aggregative response, there was a negative relationship between per capita feeding rates and drill abundance. Indeed, the Crowley-Martin functional response model had the most parsimonious fit to the data, suggesting that predator-predator inhibition reduced attack rates and increased handling times. Due to an increase in regional drought conditions and water usage in the southeastern United States, drill outbreaks will likely increase in frequency and duration. A greater understanding of how predation rates change with predator densities during outbreaks will improve predictions of oyster mortality, and strengthen the scientific framework for oyster fishery decisions.</span></p>
Strong genetic structure in a widespread estuarine crab: A test of potential versus realized dispersal
<p>Aim: Genetic structure has proven difficult to predict for marine and estuarine species with multi-day pelagic larval durations, since many disperse far less than expected based on passive transport models. In such cases, the gap between potential and realized dispersal may result from larval behaviors that evolved to facilitate retention and settlement in favorable environments. Behavior is predicted to play a particularly key role in structuring truly estuarine species, which often moderate their behavior to remain within their natal estuaries. In such systems, this restricted dispersal may lead to high divergence, local adaptation, and eventual speciation across their range. Here, we test whether a geographically widespread estuarine crab, known to have behavior promoting larval retention, exhibits high population structure despite a 2-4 week larval duration.</p> <p>Location: Atlantic and Gulf Coasts of North America Taxon: White-fingered mud crab, Rhithropanopeus harrisii</p> <p>Methods: Population genomic analyses across nine estuaries from New Hampshire to Louisiana using 12,638 transcriptome-derived SNPs.</p> <p>Results: We found highly differentiated genetic signatures among all nine estuaries, separated by 200-5,000 km of coastline. Estimates of gene flow suggest that migration is low and largely symmetrical between sites. We also observed deep phylogenetic divides corresponding to major biogeographic breaks.</p> <p>Main conclusions: These results indicate substantial and longstanding constraints to dispersal in the species' native range, likely arising from the emergence of geological and oceanographic barriers and sustained by behavior that promotes estuarine retention during larval development. This work supports the idea that larval behavior promoting estuarine retention can be reflected in substantial genetic structure even in species with multi-week pelagic larval durations. Such behavior-restricted dispersal has implications for predicting adaptation and spread in estuarine species, many of which have been introduced outside their native ranges.</p>
Fig. 1 in A New Talitrid Genus and Species, Lowryella wadai, from Estuarine Reed Marshes of Western Japan (Crustacea: Amphipoda: Talitridae)
Fig. 1. Sampling sites of Lowryella wadai gen. et sp. nov.
Drivers of phytoplankton variability in and Near the Pearl River Estuarine, South China Sea during Typhoon Hato (2017): A numerical study
<p>Simulated and Observed data for JGR manuscript: Drivers of phytoplankton variability in and Near the Pearl River Estuarine, South China Sea during Typhoon Hato (2017): A numerical study. Please read the "A Data Interpretation - README.pdf" before loading the dataset.</p>
Figure 2 in Polychaete diversity in the estuarine habitats of Términos Lagoon, southern Gulf of Mexico
Figure 2. Number of species by family at each habitat in Términos Lagoon.
Figure 1 in Polychaete diversity in the estuarine habitats of Términos Lagoon, southern Gulf of Mexico
Figure 1. Location and distribution of habitats in Términos Lagoon, southern Gulf of México.
Figure 1 in Aquatic pollutants are associated with reproductive alterations and genotoxicity in estuarine fish (Sciades herzbergii - Bloch, 1794) from the Amazon Equatorial Coast
Figure 1. Sampling site: São José Bay, in the Island of Maranhão, Brazil.
Fig. 1 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 1. Collecting localities of alligators in Georgia and Florida.
Fig. 4 in Gastric nematode diversity between estuarine and inland freshwater populations of the American alligator (Alligator mississippiensis, daudin 1802), and the prediction of intermediate hosts
Fig. 4. Prey stomach contents categorized to taxonomic class levels.
Data from: Detrital shadows: estuarine food web connectivity depends on fluvial influence and consumer feeding mode
We measured the influence of landscape setting on estuarine food web connectivity in five macrotidal Pacific Northwest estuaries across a gradient of freshwater influence. We used stable isotopes (δ13C, δ15N, δ34S) in combination with a Bayesian mixing model to trace primary producer contributions to suspension- and deposit-feeding bivalve consumers (Mytilus trossulus and Macoma nasuta) transplanted into three estuarine vegetation zones: emergent marsh, mudflat, Japanese eelgrass (Zostera japonica), and native eelgrass (Zostera marina). Fluvial discharge and consumer feeding mode strongly influenced the strength and spatial scale of observed food web linkages, while season played a secondary role. Mussels displayed strong cross-ecosystem connectivity in all estuaries, with decreasing marine influence in the more fluvial estuaries. Mussel diets indicated homogenization of detrital sources within the water column of each estuary. In contrast, the diets of benthic deposit-feeding clams indicated stronger compartmentalization in food web connectivity, especially in the largest river delta where clam diets were trophically disconnected from marsh sources of detritus. This suggests detritus deposition is patchy across space, and less homogenous than the suspended detritus pool. In addition to fluvial setting, other estuary-specific environmental drivers, such as marsh area or particle transport speed, influenced the degree of food web linkages across space and time, often accounting for unexpected patterns in food web connectivity. Transformations of the estuarine landscape that alter river hydrology or availability of detritus sources can thus potentially disrupt natural food web connectivity at the landscape scale, especially for sedentary organisms which cannot track their food sources through space.
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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.