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120 results for “aquatic ecosystems”
Spatial variability in water chemistry of four Wisconsin aquatic ecosystems - High speed limnology Environmental Science and Technology datasets
Advanced sensor technology is widely used in aquatic monitoring and research. Most applications focus on temporal variability, whereas spatial variability has been challenging to document. We assess the capability of water chemistry sensors embedded in a high-speed water intake system to document spatial variability. We developed a new sensor platform to continuously samples surface water at a range of speeds (0 to > 45 km hr-1) resulting in high-density, meso-scale spatial data. Here, we archive data associated with an Environmental Science and Technology publication. Data include a single spatial survey of the following aquatic ecosystems: Lake Mendota, Allequash Creek, Pool 8 of the Upper Mississippi River, and Trout Bog. Data have been provided in three formats (raw, hydraulic-corrected, and tau-corrected).
Photosynthetic quotients in aquatic ecosystems: data and code supporting Trentman et al. 2023 manuscript in L&O Letters
This study provides a summary of the mismatch between our current knowledge and the application of the photosynthetic quotient (PQ). We use data from the Upper Clark Fork River (UCFR) as a case study example of how the PQ may vary in space and time based on environmental conditions. Surface water sample measurements of dissolved oxygen (DO), temperature (T), nutrients (NO3-N, NH4-N, SRP), and several metabolism indicators are represented in this data product. Figures represent data from two sites on the mainstem of the Upper Clark Fork River (UCFR) over a roughly two-year period, from 2019 to 2021. Some measurements are derived from existing data products or manuscripts, including DOT (Valett, et al., 2023); nutrients (H. M. Valett, Dec. 2, 2022, pers. comm); air pressure (Deer Lodge Weather Station, 2023); underlying data for Trentman et al. (2023) Figure 2 and Figure 4e and 4f (via Burris, 1981); and SI-Figure2 USGS gage data (USGS, 2023). Products unique to this data product include metabolism data (Trentman, et al., 2023 (Figure 5)), chamber data supporting Trentman, et al., (2023) Figure 6, and code simulations/data. All analytes and variables are documented in the project data dictionary. For details on data collection methods, see the methods section, the manuscript, and/or referenced data products.
Nearshore high-frequency temporal water quality observations and process-based modeling of aquatic ecosystem metabolism in Lake Tahoe completed by members of the Blaszczak Lab at the University of Nevada Reno, 2021-2023
The overarching goal of this project was to develop a process-based understanding of how watershed-to-lake connections drive nearshore productivity dynamics in a large oligotrophic mountain lake (Lake Tahoe). We addressed this goal through a combined approach of high-frequency sensor deployment and maintenance, ecosystem metabolism modeling, laboratory incubations, and routine monitoring of water chemistry and other parameters. The data we collected as part of this project and the ecosystem metabolism estimates we generated demonstrate how variable ecosystem productivity is in time and space in the nearshore of Lake Tahoe. Although maintenance of the sensor arrays during the exceptional winter of 2023 was challenging, we were able to capture the data necessary to estimate a complete time series of metabolic activity across two years with very different hydroclimatic conditions. Throughout this project we accomplished the following: 1. We generated over two years of daily estimates of ecosystem metabolism (gross primary productivity, ecosystem respiration, and net ecosystem productivity) from multiple locations on both the east and west shores of the lake and from areas in close proximity to and far away from stream water inflows. 2. We measured ammonium (NH4+) and nitrate (NO3-) concentrations in surface water samples from both Glenbrook and Blackwood creeks and the nearshore of Lake Tahoe for over two years. 3. We quantified rates of NH4+ and NO3- uptake in benthic samples of the dominant substrate type collected during peak streamflow, the receding limb, and baseflow conditions in 2023 from multiple locations in the nearshore using established laboratory incubation methods. 4. Finally, we used a combination of time series models and structural equation modeling to integrate our results and improve understanding of the direct and indirect effects of hydroclimatic variability on observed patterns in ecosystem metabolism in the nearshore. See this git code repository
Carbon flux from aquatic ecosystems of the Arctic Coastal Plain along the Beaufort Sea, Alaska, 2010-2018
Multiple aquatic ecosystems (pond, lake, river, lagoon, ocean) on the Arctic Coastal Plain (ACP) near Utqiaġvik, AK were visited to determine their relative contribution to landscape-level atmospheric CO2 flux and how this may have changed over time. pCO2 (partial pressure of carbon dioxide) was monitored in late summer (late July to mid-August) over a period of four years (2013, 2015, 2017, 2018) from open water areas and is related to habitat type, dissolved organic carbon (DOC) and environmental factors (temperature, radiation, rainfall). Data include both daily averages from most sites, as well as spatial representation of pCO2 in Elson Lagoon and diel cycles of pCO2 from a tundra pond. Pond NEP (net ecosystem production) is estimated by free water metabolism and presented as daily estimates over a four summer period.
Generalization of a density-dependent ecosystem function in dominant aquatic macroinvertebrates
<div> <div> <p>This Zenodo record contains the supporting data and code for the publication 'Generalization of a density-dependent ecosystem function in dominant aquatic macroinvertebrates', published in Oikos (<a title="DOI to publication" href="https://doi.org/10.1111/oik.10774">https://doi.org/10.1111/oik.10774</a>). The data are described in detail in the corresponding publication. The data archive contains a ReadMe file, two text files with the empirical data, and a corresponding R script for analysis. All required data to reproduce the full analysis from the original publication are provided.</p> <p>In order to reproduce the analysis and figures, run <code>DensityDependenceAnalysis20240319.R</code>. Make sure that your working directory is the actual folder containing the data files <code>Data_Field.txt</code> and <code>Data_Lab.txt</code>. If run in Rstudio, this should happen automatically. Else this is easily achieved by (re)starting R (or R Studio) by double-clicking the R script file from the folder. The script will produce all the figures from the paper, organized in a folder <code>AnalysisYYYYMMDD</code> and two subfolders <code>CheckFigs</code> and <code>SuppFigs</code>. Figures are prepared as pixel graphics (PNG).</p> </div> </div>
Carbon quality regulates the temperature dependence of aquatic ecosystem respiration
Lakes are undergoing a variety of changes that may alter their role in the global carbon cycle. Lake temperatures are increasing at the same time that lakes in many regions are experiencing long-term increases in dissolved organic carbon (DOC) concentrations. The balance between rates of ecosystem respiration (ER) and gross primary production (GPP) is an important determinant of CO2 outgassing from lakes and thus it is important to understand factors regulating ER rates in these systems. Temperature is known to regulate rates of ER, but other factors have the potential to modulate this relationship. One such regulator may be the quality of the dissolved organic matter (DOM) in the system. Theory suggests that ER may increase more with temperature in lakes dominated by allochthonous, refractory material than in systems dominated by more autochthonous DOM. To test this theory, we conducted a mesocosm study where half of the mesocosms received water from a naturally occurring autochthonous DOM source and the other half from an allochthonous DOM source. We monitored water temperature and dissolved oxygen concentrations in each mesocosm using in-situ high frequency DO sensors. After 27 days we used this data to calculate daily ER for each mesocosm. We then related daily ER to mean nighttime temperature and tested whether the relationship was different in the two DOM treatments. Treatments dominated by allochthonous DOM had a greater temperature dependence of respiration than those dominated by autochthonous DOM. These results suggest that as lake temperatures continue to increase, ER will increase more in lakes dominated by allochthonous DOM than those dominated by autochthonous DOM.
Mitigation of urbanisation effects on aquatic ecosystems by synchronous ecological restoration
<p>Ecosystem degradation and biodiversity loss have been caused by economic booms in developing countries over recent decades. In response, ecosystem restoration projects have been advanced in some countries but the effectiveness of different approaches and indicators at large spatio-temporal scales (i.e., whole catchments) remains poorly understood. Our datasets with a diverse array of 440 aquatic restoration projects including wastewater treatment, constructed wetlands, plant/algae salvage, and dredging of contaminated sediments implemented and maintained from 2007 to 2017 across more than 2000km2 of the northwest Taihu basin (Yixing, China). Synchronized investigations of water quality and invertebrate communities were conducted before and after restoration. Our datasets showed that even though there was rapid urbanization at this time, nutrient concentrations (NH<sub>4</sub><sup>+</sup>-N, TN, TP) and biological indices of benthic invertebrates (taxonomic richness, Shannon diversity, sensitive taxon density) improved significantly across most of the study area. Improvements were associated with the type of restoration project, with projects targeting pollution sources leading to the clearest ecosystem responses compared with those remediating pollution sinks. However, in some locations, the recovery of biotic communities appears to lag behind nutrients (e.g. nitrogen and phosphorus), likely reflecting long-distance re-colonization routes for invertebrates given the level of pre-restoration degradation of the catchment.</p>
Fig. 1 in Trophic Structure Of Amphibian And Reptile Communities In Terrestrial And Aquatic Ecosystems Of Belarus
Fig. 1. Scheme of food relations of amphibians and reptiles in communities of terrestrial and aquatic ecosystems of Belarus.
Fig. 2 in Trophic Structure Of Amphibian And Reptile Communities In Terrestrial And Aquatic Ecosystems Of Belarus
Fig. 2. Degree of similarity of taxonomic composition of food ration of amphibians and reptilesentomophages in natural ecosystems of Belarus.
FIGURE 8 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 8. Details of non-biting midge larva (Diptera: Chironomidae: Chironominae) in the amber piece PED 1383; volume renders of µCT-scan. A, Habitus, dorsal view. B, Habitus, dorso-posterior view. C–G, Anterior body. C, In ventral view. D, Colour-marked version of C. E, Lateral view. F. Colour-marked version of D. G, Head capsule in ventral view. H, Colour-marked version of G. Abbreviations: at = antennae; lr = labrum; me = mentum; mep = mental plates, hc = head capsule.
FIGURE 9 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 9. Caddisfly larvae preserved in Baltic amber from the literature, all simplified. A, Leptoceridae representative larva (Wichard et al., 2009 their fig 09.04a, b). B, Collection Hoffeins 144.1, probably Ecnomidae (Wichard et al., 2009, their fig 09.05a, b). C, Collection Gröhn 3230, Phryganidae (likely Hagenella) (Wichard et al., 2009, their fig 09.06). D, First caddisfly larva preserved with its case (Gröhn, 2015, his fig 7665).
FIGURE 5 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 5. Additional caddisfly larvae in the Baltic amber. A, B. Collection Gröhn L7698, Leptoceridae. A, Overview. B, Close-up on head in oblique lateral view. C, D, Representatives of Integripalpia (probably related to Leptoceridae). E, Representative of Annulipalpia. F. PED 1635, Leptoceridae. C–F, image courtesy of Jonas Damzen, used with permission
FIGURE 4. Caddisfly larva morphotype 1 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 4. Caddisfly larva morphotype 1, Lepidostomatidae; specimen 3 from amber piece PED 1383. A–D. Volume renders of µCT-scan. A, Head in lateral view. B, Frontal view of the larva in the case. C, Dorsal view, "roof" of the case digitally removed. D, Frontal view slightly different angle than in B. E–G, Surface reconstruction of µCT-scan, case removed. E, Dorsal view. F, Lateral view. G, Antero-lateral view. Abbreviations: lh = lateral hump of abdomen unit 1.
FIGURE 2. Caddisfly larva morphotype 1 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 2. Caddisfly larva morphotype 1, Lepidostomatidae; specimen 2 from amber piece PED 1383, volume renders of µCT-scan A, Habitus, antero-ventral view. B, Colour-marked version of A. C, Head in frontal view. D, Thorax and head in dorsal view. E, Head in ventral view with mouthparts. F, Head in lateral view. Abbreviations: ad = abdomen; an = antenna; hc = head capsule; la = labium; lb = labrum; md = mandible; mp = maxillary palps; pt = prothorax; t3 = trunk appendage 3.
FIGURE 3. Caddisfly larva morphotype 1 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 3. Caddisfly larva morphotype 1, Lepidostomatidae; specimen 1 from amber piece PED 1383. Colourmarked version of Figure 1B. Abbreviations: at = antenna; frc = frontoclypeus; lr = labrum; md = mandible. Small brown dots on the labrum are marking labral setae bases. Images obtained with digital microscopy, white transmitted light.
FIGURE 1. Amber piece PED 1383 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 1. Amber piece PED 1383 with assemblage of different fossils. A, Overview. B–D. Caddisfly larva morphotype 1, Lepidostomatidae. B, Anterior region of specimen 1. C, Ventral view of specimen 2. D, Another specimen (Caddisfly larva morphotype 1, Lepidostomatidae; specimen 2 from amber piece PED 1383) not seen in overview from this direction. E, F, Non-biting midge larva (Diptera: Chironomidae) sitting on the case of a caddisfly specimen 3. E, Overview. F. Colour-marked version of F. Images obtained with digital microscopy, white transmitted light.
FIGURE 6. Caddisfly larva morphotype 3 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 6. Caddisfly larva morphotype 3, Leptoceridae, PED 1635, volume renders of µCT-scans. A, Lateral view. B, Lateral view, other side. C, Fronto-lateral view, case partially removed. D, Frontal view. E, Colour-marked version of D. F, labeled head. Abbreviations: at = antenna; md = possible mandibles.
FIGURE 7 in Unique fossils of caddisfly larvae from Baltic amber and in situ amber formation in aquatic ecosystems
FIGURE 7. Details of non-biting midge larva (Diptera: Chironomidae: Chironominae) in the amber piece PED 1383. A, Head in dorsal view B, Colour-marked version of A. C, Close-up on labrum region. D, Colour-marked version of C. A, B recorded with digital microscope with overhead light source, C, D recorded with digital microscopy, white transmitted light. Abbreviations: at = antennae; hc = head capsule; lo Lauterborn organ; lr = labrum; sI–II = labral setae I–II.
Fig. 2 in Impacts of crustacean invasions on parasite dynamics in aquatic ecosystems: A plea for parasite-focused studies
Fig. 2. Introduced hosts ‾ native parasites: hypothetical examples of the potential effects of invasive crustaceans on native parasites. Note that only a subsample of nonexclusive scenarios from a number of potential outcomes of biological invasion on native parasite dynamics is represented here. The hypothetical native parasite considered here has a two-host life cycle involving a definitive host predator and an intermediate host prey, transmission from the intermediate host to the definitive host requiring consumption of infected intermediate host prey. The variable sizes of squares, circles and diamonds represent relative intermediate and definitive hosts, and parasite abundances, respectively. During transmission, some parasites are unsuccessful and therefore lost from the system (parasite loss); the thickness of the arrows indicates the relative numbers that are either lost or successfully transmitted. The life cycle at the top represents the situation prior to the invasion, providing a benchmark for comparisons. (A) The invader is a suitable alternative intermediate host in which native parasite larvae can survive. However, the introduced host is also a poor transmission vector, due to low predation rate from the definitive host and/or failed host manipulation by the parasite, for example. Introduced hosts are thus more infected than their congeneric, native hosts only because of the accumulation of native parasite larvae that fail to get transmitted to the definitive host. This may in turn negatively affect parasite dynamics in native hosts as shown here. (B) The invader is again a suitable alternative intermediate host but also a good transmission vector to the definitive host, leading to greater infection risk for native definitive hosts. In this case, the invader positively influences parasite dynamics and may increase infection levels in definitive hosts, as shown here. In extreme cases, invasive hosts may be more efficient vectors for the parasite than native hosts and become key hosts. (C) The invader is not a suitable host but directly impacts native intermediate hosts, the transmission vector for the parasite, through predation and thus indirectly reduces native parasite abundance in native definitive hosts.
Fig. 1 in Impacts of crustacean invasions on parasite dynamics in aquatic ecosystems: A plea for parasite-focused studies
Fig. 1. Hypothetical examples of enemy release (A), dilution effect (B), parasite spillback (C) and spillover (D) following introduction of a non-native host in a recipient ecosystem, illustrating the fundamental differences among the different processes. The theoretical recipient ecosystem is here composed of a native host infected by a parasite with a simple life cycle and direct transmission, invaded by a congeneric non-native host infected with a co-introduced parasite with a similar life cycle, to simplify representation. The variable sizes of squares and diamonds represent relative host and parasite abundances, respectively. The thickness of the arrows represents transmission dynamics of the parasite and account for parasite loss during transmission. Enemy release (A) happens when the introduced species benefits from a reduction, or total loss as represented here, in parasitism as a result of invasion. This may in turn have drastic effects on invasion success and both native and invasive host abundances. Dilution effect (B) results from the failure of native parasites to use invasive hosts for successful reproduction and transmission. Native parasites may be unable to infect or be killed (as represented here) by the invasive host. Dilution may in turn decrease parasite transmission among native hosts and negatively affect parasite population dynamics. Parasite spillback (C) happens when invasive hosts acquire a native parasite that is already present in the native host population. Infected invasive hosts can then act as reservoirs of native parasites, potentially increasing infection levels in native hosts as represented here. Increased infection levels in the native host may in turn reduce native host abundance, compared to pre-invasion levels (not represented here). Parasite spillover (D) follows the co-introduction of non-native parasites with their invasive hosts and infection of native hosts by the introduced parasite. Infection of the native host can be maintained by the invasive host, which acts as a reservoir of infection, self-sustained if the parasite can reproduce in its novel host, or both as represented here. Infection of the native host by the introduced parasite can in turn influence host abundances, compared to pre-invasion levels. Note that in scenario D, the native host may or may not possess native parasites.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.