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42 results for “stream invertebrate”
Trout and invertebrate assemblages in stream pools through wildfire and drought
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Data from: Long-term climate and hydrologic regimes shape stream invertebrate community responses to a hurricane disturbance
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Removing invasive stream macrofauna shifts non-target invertebrate mesofauna through facilitation
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Temporal niche dynamics of spreading native invertebrates underlie doubling of richness in pristine temperate streams
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Stream Invertebrate Taxa Qualitative Abundances
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the abundance and species distribution of algal mats in glacial meltwater streams of the region. This table contains data showing a qualitative count of invertebrate taxa found in the samples gathered.
Stochastic processes and ecological connectivity drive stream invertebrate community responses to short-term drought
1. Community responses to and recovery from disturbances depend on local (e.g. presence of refuges) and regional (connectivity to recolonization sources) factors. Droughts are becoming more frequent in boreal regions, and are likely to constitute a severe disturbance for boreal stream communities where organisms largely lack adaptations to such hydrological extremes. 2. We conducted an experiment in 24 seminatural stream flumes to assess the effects of local and regional factors on the responses of benthic invertebrate communities to a short-term drought. We manipulated flow (drought vs. constant-flow), spatial arrangement of leaf litter patches (aggregated vs. evenly distributed) and colonization from regional species pool (enhanced vs. ambient connectivity) to test the combined effects of disturbance, connectivity, and resource arrangement on the structural and functional responses of benthic invertebrate communities. 3. We found that a drought as short as one week reduced invertebrate richness and abundances, mainly through stochastic extinctions. Such changes in richness were not reflected in functional diversity. This suggests that communities were characterized by a high degree of functional redundancy, which allowed maintenance of functional diversity despite species losses. Feeding groups responded differently to drought, with organic matter decomposers responding more than scrapers and predators. 4. Three weeks was insufficient for a complete invertebrate community recovery from the drought. However, recovery was greater in channels subjected to enhanced connectivity, which increased taxonomic diversity and abundance of certain taxa. Spatial configuration of resources explained the least variation in our response variables, having a significant effect only on invertebrate abundance and evenness (both sampling occasions) and species richness (end of recovery period). 5. Even a short drought, if occurring late to the season, may not allow communities to recover before the onset of winter, thus having a potentially long-lasting effect on stream communities. For boreal headwaters, extreme dewatering poses a novel disturbance regime that may trigger substantial and potentially irreversible changes. An improved understanding of such changes is needed to underpin adaptive management strategies in these increasingly fragmented and disturbed ecosystems. 18-Dec-2020
Data from: Using survival models to estimate invertebrate prey identification times in a generalist stream fish
Estimates of predator feeding rates are important for understanding trophic dynamics. One common method for quantifying feeding rates in fishes combine mass-based diet data with gastric evacuation times to estimate prey mass consumed per predator. An alternative approach is to estimate rates of prey individuals consumed using prey identification times − the time period over which prey remain identifiable in a predator's stomach. One challenge with the analysis of prey identification times, however, is that the response variable is likely to be censored because the 'true' prey identification time cannot be observed directly. Here, we applied survival analysis that can incorporate censored data to estimate the effects of predator body size, water temperature, and prey characteristics (type, count and body size) on identification times in reticulate sculpin (Cottus perplexus). We focused on seven types of prey that are common in this generalist predator's diet: mayflies (Ephemeroptera), caddisflies (Trichoptera), stoneflies (Plecoptera), flies (Diptera), beetles (Coleoptera), worms (Annelida), and sculpin eggs. An information-theoretic model comparison approach indicated that an accelerated failure-time Weibull model with all five covariates provided the best relative fit to the full dataset. Prey type had a strong effect on prey identification times, with annelid worms having the shortest times (< 1 hr) and caddisflies having the longest times (> 15 hrs). Water temperature decreased prey identification times (7.5% per 1°C increase), whereas prey count (i.e. meal size) increased prey identification times (15.5% per additional prey item). Sculpin body size had a weak negative effect on prey identification times (0.04% per 1 mm increase). Body sizes of some taxa, including mayflies, caddisflies, and stoneflies, increased prey identification times, leading to an interaction between prey type and prey size. Our study highlights the utility of survival analysis to quantify variation in prey identification times in the diets of generalist predators.
Data from: Climate-driven hydrological variability determines inter-annual changes in stream invertebrate community assembly
Although flow regime is one of the major drivers of riverine communities, not much is known about how inter-annual variability and extremes of flow influence community assembly mechanisms. We used data on benthic macroinvertebrates and modelled flow regimes in 23 near-pristine boreal streams to assess how community assembly mechanisms and species occupancy varied in response to inter-annual variability in flow conditions across 11 successive years encompassing extreme (both low and high) flow events. A null model approach was used to test whether deterministic or stochastic processes dominated community assembly and how much regional (among-stream) flow variability contributed to community variability (β-diversity). Mean daily flow and the greatest rate of flow rise were the strongest flow-related descriptors of invertebrate community composition. Communities were differentially assembled depending on the direction of change in flow magnitude: in high-flow years, communities were more similar than expected by chance, while at low flows they tended to be more dissimilar than expected. Beta-diversity of macroinvertebrate communities was related to among-stream flow variability only at high flows. Common species correlated strongly with flow variability and contributed most to variation in β-diversity, suggesting that changes in assembly mechanisms are mainly driven by common species. While homogenization of communities in high-flow years reflected increased species occupancies and environmental sorting, increased turnover during low flows likely resulted from stochastic extinctions and dispersal limitation. Our findings suggest that extreme hydrological events exert a strong control over stream invertebrate community assembly, and their effect may be even more profound in the future as high and low-flow spells are expected to occur more frequently, not allowing time for communities to recover.
Data for: Impacts of urbanization on chloride and stream invertebrates: a 10-year citizen science field study of road salt in stormwater runoff
<p><strong>Abstract:</strong></p> <p>The use of deicing agents during the winter months is one of many stressors that impact stream ecosystems in urban and urbanizing watersheds. In this study, a long-term dataset collected by citizen scientists with the Missouri Stream Team was used to evaluate the relationships between watershed urbanization metrics and chloride metrics. Further, these data were used to explore effects of elevated chloride concentrations on stream invertebrate communities using quantile regression. While the amount of road surface in a watershed was a dominant factor in predicting the maximum chloride measurement, the median chloride concentration was also strongly related to the amount of medium-to-high density development in the watershed, suggesting that non-municipal salt use is an important contributor to increases in baseflow chloride concentrations. Additionally, chloride concentration appears to be one of the many factors that impact invertebrate density and diversity measurements, with decreases in invertebrate diversity corresponding with the U.S. EPA water quality criteria. Our findings suggest that the use of chloride-based road salt on municipal roads as well as in non-municipal settings is contributing to a loss of diversity and density of aquatic invertebrate communities in urban regions.</p>
Data for Individual and combined impacts of carbon dioxide enrichment, heatwaves, flow velocity variability and fine sediment deposition on stream invertebrate communities
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Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
One of the key challenges to understanding patterns of β diversity is to disentangle deterministic patterns from stochastic ones. Stochastic processes may mask the influence of deterministic factors on community dynamics, hindering identification of the mechanisms causing variation in community composition. We studied temporal β diversity (among-year dissimilarity) of macroinvertebrate communities in near-pristine boreal streams across 14 years. To assess whether the observed β diversity deviates from that expected by chance, and to identify processes (deterministic vs. stochastic) through which different explanatory factors affect community variability, we used a null model approach. We observed that at the majority of sites temporal β diversity was low indicating high community stability. When stochastic variation was unaccounted for, connectivity was the only variable explaining temporal β diversity, with weakly connected sites exhibiting higher community variability through time. After accounting for stochastic effects, connectivity lost importance, suggesting that it was related to temporal β diversity via random colonization processes. Instead, β diversity was best explained by in-stream vegetation, community variability decreasing with increasing bryophyte cover. These results highlight the potential of stochastic factors to dampen the influence of deterministic processes, affecting our ability to understand and predict changes in biological communities through time.
Data from: Enhanced ecosystem functioning following stream restoration: the roles of habitat heterogeneity and invertebrate species traits
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Leaf litter quality drives the feeding by invertebrate shredders in tropical streams
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Stochastic processes and ecological connectivity drive stream invertebrate community responses to short-term drought
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Data from: Climate-driven hydrological variability determines inter-annual changes in stream invertebrate community assembly
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Blue consequences of the green bioeconomy: clear-cutting intensifies the harmful impacts of land drainage on stream invertebrate biodiversity
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Data from: Using survival models to estimate invertebrate prey identification times in a generalist stream fish
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Data from: Drying determines the temporal dynamics of stream invertebrate structural and functional beta diversity
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Energy pathways modulate the resilience of stream invertebrate communities to drought
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Data from: Habitat connectivity and in-stream vegetation control temporal variability of benthic invertebrate communities
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.