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100 results for “Aquatic insects”
Environmental, Taxonomic, and Stable Isotope Data from Aquatic Insects sampled from Beaver-Engineered Headwater Streams (Adirondack Park, NY; 2024).
This data package contains environmental and biological data from a field study examining aquatic insect assemblage composition and basal resource use in beaver-engineered headwater streams in Adirondack Park, New York. Data was collected from six streams across two watersheds; the Oswegatchie River Watershed and Upper Hudson River Watershed. Three streams were sampled within the Oswegatchie River Watershed; East Creek, Sucker Brook, and Chair Rock Creek located near the Cranberry Lake Biological Station in St. Lawrence County. Three streams were sampled from the Upper Hudson River Watershed; Big Sucker Brook, Little Sucker Brook, and Panther Brook located near SUNY ESF’s Newcomb Campus in Essex County. Site conditions were characterized using densiometer measurements of canopy cover, visual assessments of substrate composition, and river discharge measurements collected with an OTT MF Pro flow meter. Aquatic insect assemblages were sampled using multihabitat active sampling and Hester–Dendy and leaf-bag passive samplers, with specimens identified to genus and assigned to functional feeding groups. Carbon and nitrogen stable isotopes were analyzed for a subset of insect taxa and three basal resource pools; coarse particulate organic matter (CPOM), fine particulate organic matter (FPOM), and periphytic algae. The Bayesian mixing model MixSIAR was used to estimate the proportional contribution of these primary sources to aquatic insect biomass. All data was collected between June and August 2024.
Aquatic and terrestrial insect activity phenology with trap collections at the Andrews Experimental Forest, 2009-2014
This study was designed to evaluate the influence of microclimatic heterogeneity, associated with complex terrain, on phenology and to evaluate potential trophic responses to scenarios of climate change, disturbance and land use. We focus on a simplified model trophic system involving vascular plants, terrestrial and aquatic insects, and migratory neotropical and resident birds. The model trophic system is interesting because the phenologies of different components in the model system are independent (cued by various abiotic drivers) and dependent (due to trophic interactions), potentially leading to complex system behaviors. Plant and poiklothermic animal (ex. invertebrates) phenologies are highly temperature dependent. Phenologies of terrestrial plants and invertebrates would therefore likely exhibit wide spatial and temporal variation across the landscape in response to temperature variation associated with elevational differences, cold air drainages patterns, and temperature inversions. Aquatic invertebrate phenologies are also tied to temperature, but stream temperatures are influenced by different factors than those driving air temperatures and they may be less sensitive to complex terrain. For the invertebrate part of this study, we are examining spring-time (April through June) flying (terrestrial and adult aquatic) insect activity and adult aquatic insect emergence across a range of sites in the HJ Andrews Experimental Forest. Flying insect activity will be assessed using malaise traps deployed at 16 sites ranging from 450m to over 1300m in elevation, and with a variety of forest stand ages and slope aspects. Emerging aquatic insects will be collected with emergence traps in six 1st to 2nd order streams ranging from 450m to 1000m in elevation, and differing in water source (spring vs run-off) and surrounding forest age. Insects from malaise traps will be identified to varying levels from order to genus, depending on the group and available keys. Adult aquat
Aquatic Insect Adult Metals Dataset: Urban and Forested Watersheds in the Piedmont of NC - 2021-2022
This dataset reports concentrations of 6 target trace metals (copper, zinc, nickel, lead, chromium, and selenium) in unfiltered water, emergent aquatic adult insects (by family), biofilm mats (predominately algae), and tree roots submerged under stream water. Biological and water samples were collected from three streams in the Piedmont region of North Carolina, USA: a wastewater dominated site (Ellerbe Creek, near the USGS gage at Glen Road ), a stormwater dominated site (Ellerbe Creek, near the USGS gage on Club Blvd), and a stream draining a predominately forested watershed (New Hope Creek, near a StreamPULSE site at Hollow Rock Preserve). This data was submitted for publication in a manuscript that explores how metals are transported by aquatic emergent insects from stream ecosystems into terrestrial food webs.
Aquatic insect sampling in Lookout Creek at the H.J. Andrews Experimental Forest, 2001
The database contains data from samples collected during the summer of 2001 on aquatic macroinvertebrates along Lookout Creek. Three data tables comprise the database. The two larger tables contain the taxonomic composition and abundances from samples collected using small (0.25m2 ) emergence traps and pan traps (0.19m2). Taxonomic resolution differs by order; for some taxa we identified individuals to family, genus, and species, some to family and genus, and others to family only. A third small data table is a complete list of taxa from the three orders Ephemeroptera, Plecoptera, and Trichoptera.
Supplementary Data for: A time-calibrated 'Tree of Life' of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world
<p>This compendium of files includes the dated phylogenetic tree in Newick format (<strong>Data S1</strong>), the list of statistical routines used for the three empirical case studies (<strong>Data S2</strong>), and the high-resolution version of the figures in the supplementary materials and main text (<strong>Data S3</strong>) for the <em>Earth-Science Reviews</em> paper "A time-calibrated ‘Tree of Life’ of aquatic insects for knitting historical patterns of evolution and measuring extant phylogenetic biodiversity across the world", which is under consideration. The best-scoring molecular tree (<strong>Data S1</strong>) can be opened using freely available programs like R (R Development Core Team, 2021), Dendroscope (Huson and Scornavacca, 2012), and FigTree (Rambaut, 2018).</p> <p>Please, feel free to send an email to the maintainer Dr. Jorge García Girón (jogarg@unileon.es OR Jorge.Garcia-Giron@oulu.fi) if you face any trouble downloading, opening, or using these files.</p> <ul> <li>Huson, D. H., & Scornavacca, C. (2012). Dendroscope 3: An interactive tool for rooted phylogenetic trees and networks. <em>Systematic Biology</em>, <em>61(6)</em>, 1061–1067.</li> <li>R Development Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/</li> <li>Rambaut, A. (2018). FigTree. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK. http://tree.bio.ed.ac.uk/software/figtree/</li> </ul>
Data about the aquatic insects drift in Xingu River
<p>The drift movement consists of the displacement of the organisms inside the water which allows its locomotion. This movement will result in a variation of the communities of organisms along the river, generating patterns. Based on this, we tested the hypotheses a) the movement of organisms along an upstream-downstream gradient will result in a pattern of nesteness distribution of organisms in aquatic insect communities; b) there will be an increase in the number of individuals and genera as we approach the most downstream point. The present study was carried out in seven sampling points distributed along the Xingu River. The sampling occurred at night in the central area of the river. The distribution of genera along the river remained constant. A nesteness distribution of the communities in the upstream-downstream gradient was not observed. Based on the results it is possible to visualize that the dispersion movement generates a nestedness of the genera downstream of the river, occurring a confluence for the last sampling point. The organisms are carried by the flow of the water stream and are influenced by the characteristics of the water body adapting to the type of environment in which they are located.</p>
Figure 3 in Diversity of cellulolytic and xylanolytic fungi associated with the digestive tract of aquatic insect larvae in streams of the Amazon Forest and Cerrado in Brazil
Figure 3. Percentage of fungal isolates from the DT of Stenochironomus (Diptera: Chironomidae) from trunks in Amazon Forest (A), trunks in Cerrado (B) and leaves in Cerrado (C) producers and non-producers of xylanase (Xyl) and cellulase (CMCase).
Figure 2 in Diversity of cellulolytic and xylanolytic fungi associated with the digestive tract of aquatic insect larvae in streams of the Amazon Forest and Cerrado in Brazil
Figure 2. Principal component analysis (PCA) of the physicochemical parameters of the streams sampled in the Amazon Forest - Amazonas (A) and Cerrado - Tocantins (T) in the north of Brazil.
Figure 1 in Diversity of cellulolytic and xylanolytic fungi associated with the digestive tract of aquatic insect larvae in streams of the Amazon Forest and Cerrado in Brazil
Figure 1. Map of the sampling sites of Stenochironomus (Diptera:Chironomidae) in low-order streams in the Adolpho Ducke Forest Reserve in the state of Amazonas (Amazon Forest Biome) and at the Lajeado State Park (LSP) in the state of Tocantins, (Cerrado Biome) Brazil.
FIG. 2. A in Zoochorous dispersal of freshwater peaclams (Bivalvia: Sphaeriidae): potential role of aquatic insects
FIG. 2. A. Dorsal and ventral views of the Aeshna juncea (Linnaeus, 1758) dragonfly nymph (Omolon River basin, Magadan Oblast, Russia). B. Euglesa globularis attached to the leg of the Common Hawker dragonfly nymph. C. Dorsal, ventral, and lateral views of the Callicorixa sp. nymph (a small unnamed lakelet near Orotukan settlement, Magadan Oblast, Russia). D. Euglesa parvula attached to the leg of the water boatmen nymph. Scale bars: (A, C) – 1 mm; (B, D) – 0.5 mm. Photos by Aksenova O.V.
РИС. 1. Карта района исследований в бассейне реки Колыма (МагаданскаЯ область, РоссиЯ) (1) оЗеро рЯдом с поселком Оротукан; (2) ОЗеро Лебединое рЯдом с селом Омолон. Фотографии Аксёновой О.В. (1) и Соколовой С.Е. (2). in Zoochorous dispersal of freshwater peaclams (Bivalvia: Sphaeriidae): potential role of aquatic insects
РИС. 1. Карта района исследований в бассейне реки Колыма (МагаданскаЯ область, РоссиЯ) (1) оЗеро рЯдом с поселком Оротукан; (2) ОЗеро Лебединое рЯдом с селом Омолон. Фотографии Аксёновой О.В. (1) и Соколовой С.Е. (2).
Figure 1 in Effects of forest conversion on tce assemblages' structure of aquatic insects in subtropical regions
Figure 1. Location of tce micro-basin and sampled streams in forested area (F1, F2, and F3) and converted area (C1, C2, and C3) at Parque Estadual do Turvo and adjacent areas, in soutcern Brazil.
Figure 3 in Effects of forest conversion on tce assemblages' structure of aquatic insects in subtropical regions
Figure 3. Ordination diagram of NMDS of Epcemeroptera, Plecoptera, and Triccoptera assemblages at streams in forested area (F) and converted area (C). Numbers 1-3 refer to tce stream; R refers to rocky bottom substrate, and L refers to leaf litter substrate.
Figure 1 in A comparative study of the aquatic insect diversity of two ponds located in Cachar District, Assam, India
Figure 1. Map of Cachar District, Assam, highlighting the urban pond in Silchar city and Jalinga pond in the West Jalinga tea garden.
Figure 3 in Spatial and temporal distribution of aquatic insects in the Dicle (Tigris) River Basin, Turkey, with new records
Figure 3. Nanocladius spiniplenus, pupa: a- TII–IX, b- thoracic horn, c- precorneal setae, d- anal lobe with three macrosetae.
Fig. 4 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 4. Comparison among Bray-Curtis dissimilarity indices of aquatic insect assemblages associated with white ginger lily banks and native vegetation profile in the littoral zone of a tropical reservoir in the Brazilian Savanna (Group 1, white ginger lily; Group 2, invaded forest; Group 3, native macrophyte; Group 4, riparian vegetation).
Fig. 2 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 2. Comparison between ecological variables of aquatic insect assemblages associated with invasive white ginger lily bank and other native vegetation banks in the littoral zone of a tropical reservoir in the Brazilian Savanna (A, abundance; B, richness; C, Simpson diversity; IM, invasive macrophyte; IF, invaded forest; NM, native macrophyte; RV, riparian vegetation).
Fig. 1 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 1. Location and characterization of vegetation profile banks of the Fazzari reservoir in the Brazilian Savanna (Cerrado Biome, Brazil).
Fig. 3 in Forecasting the impact of an invasive macrophyte species in the littoral zone through aquatic insect species composition
Fig. 3. Analyses of non-metric MDS of aquatic insect assemblages associated with white ginger lilY banks and native vegetation profiles in the littoral zone of a tropical reservoir in the Brazilian Savanna (●, white ginger lilY; ○, invaded forest; ∆, native macrohYte; ▲, riparian vegetation).
Linked collectors and determiners for: Aquatic Insects from the Caatinga: checklists and diversity assessments of Ubajara (Ceará State) and Sete Cidades (Piauí State) National Parks, Northeastern Brazil.
Natural history specimen data linked to collectors and determiners held within, "Aquatic Insects from the Caatinga: checklists and diversity assessments of Ubajara (Ceará State) and Sete Cidades (Piauí State) National Parks, Northeastern Brazil". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0f243a11-1cef-442e-98be-a743ace6085f">https://bionomia.net/dataset/0f243a11-1cef-442e-98be-a743ace6085f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0f243a11-1cef-442e-98be-a743ace6085f">https://gbif.org/dataset/0f243a11-1cef-442e-98be-a743ace6085f</a>. Formatted as a Frictionless Data package.
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International Brain Laboratory public data
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