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82 results for “aquatic diversity”
Survey of pond habitats and aquatic diversity of Madison, Wisconsin from May to Aug 2019 and 2020 Data Set
1) Urbanization may lead to changes in local richness (alpha diversity) or in community composition (beta diversity), although the direction of change can be challenging to predict. For instance, introduced species may offset the loss of native specialist taxa, leading to no change in alpha diversity in urban areas, but decreased beta diversity (i.e., more homogenous community structure). Alternatively, because urban areas can have low connectivity and high environmental heterogeneity between sites, they may support distinct communities from one another over small geographic distances. 2) Wetlands and ponds provide critical ecosystem services and support diverse communities, making them important systems in which to understand consequences of urbanization. To determine how urban development shapes pond community structure, we surveyed 68 ponds around Madison, Wisconsin, USA, which were classified as urban, greenspace, or rural based on surrounding land use. We evaluated the influence of local abiotic factors, presence of nonnative fishes, and landscape characteristics on alpha diversity of aquatic plants, macroinvertebrates, and vertebrates. We also analyzed whether surrounding land cover was associated with changes in community composition and/or the presence of specific taxa. 3) We found a 23% decrease in mean richness (alpha diversity) from rural to urban pond sites, and a 15% decrease in richness from rural to urban greenspace pond sites. Among landscape factors, observed pond richness was negatively correlated with adjacent developed land and mowed lawns, as well as greater distances to other waterbodies. Among pond level factors, habitat complexity was associated with increased richness, while the presence of invasive fish was associated with decreased richness. 4) Beta diversity was relatively high for all ponds due to turnover in composition between sites. Urban ponds supported more introduced species, lacked a subset of native species found in rural ponds,
Supplementary file 1 from: Moliner Cachazo L, Makati K, Chadwick MA, Catford JA, Price BW, Mackay AW, Guiry MD, Murray-Hudson M, Murray-Hudson F (2023) A review of the freshwater diversity in the Okavango Delta and Lake Ngami (Botswana): taxonomic composition, ecology, comparison with similar systems and conservation status. Aquatic Sciences
<p>Dataset with 2,204 freshwater species from the Okavango Delta and Lake Ngami (Botswana), with additional 355 species found in other areas of Botswana that are likely to be present in the study region. The dataset covers the following groups: amphibians, birds, fishes, macroinvertebrates, macrophytes, mammals, reptiles, phytoplankton, and zooplankton. The following information is given for each species: status in the Okavango Delta and Lake Ngami (present/potentially present); conservation status globally, Phylum, Class, Order, Family, Genus, species name, cited synonyms, common name, habitat, presence in high water, presence in low water, ecology, distribution in continental Africa, confirmed locations in the Okavango Delta, site coordinates, references, notes.</p>
Supplementary data for article "Small hydropower – small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 2: effects on functional diversity" by Scotti A., et al.
<p>Supplementary data for article "Small hydropower – small ecological footprint? A multi-annual environmental impact analysis using aquatic macroinvertebrates as bioindicators. Part 2: effects on functional diversity" by Scotti A., et al.:</p> <p><br> - Trait-based distances calculated for each pair of taxa;</p> <p>- CWM, CWM(LN) values, and their difference (CWMDIFF)</p> <p>Refer to the published articles for further details.</p>
Figure 1 in The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney
Figure 1. Locations of the monitoring sites. A: North of Orkney Mainland and northern isles, B: Scapa Flow and southern isles. For corresponding site names refer to Supplementary material Table S1.
Figure 3 in The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney
Figure 3. The total number of sites for which each non-native or cryptogenic species has been recorded for each sampling method for 2016 and 2017. NB: Only species recorded in these two years are reported in this figure. Abbreviations: Cm: Caprella mutica, As: Ascidiella scabra, Bh: Bonnemaisonia hamifera, Sj: Schizoporella japonica, Ce: Corella eumyota, Aa: Ascidiella aspersa, Cp: Colpomenia peregrina, Cf: Codium fragile ssp. fragile, Ti: Tricellaria inopinata, Ah: Asterocarpa humilis, Bs: Botryllus schlosseri, Bl: Botrylloides leachii, Mh: Melanothamnus harveyi, Bf: Bugulina fulva, Dj: Dasysiphonia japonica, Jm: Jassa marmorata, Mi: Monocorophium insidiosum, Ma: Monocorophium acherusicum, Cs: Ctenodrilus serratus, Tj: Telmatogeton japonicus, Pa: Potamopyrgus antipodarum, Cb: Crassicorophium bonellii, Dl: Diplosoma listerianum.
Fig 4 in Diversity and taxonomic structure of aquatic macroinvertebrates in a fluvio-lacustrine system in south-west Côte d'Ivoire: The case of the Soubré hydroelectric dam lake
Fig 4: Hierarchical classification of sampling stations based on the similarity of assemblages of aquatic macroinvertebrate families.
Figure 2 in The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney
Figure 2. The total number of non-native and cryptogenic species recorded at each monitoring location (2012–2017).
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.
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.
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.
Fig. 5 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 5. RDA tri-plot illustrating the similarities between the various sites (and surveys) and the physicochemical variables. The tri-plot describes 45.3 % of the variation, with 22.3 % being described on the first axis and 23 % on the second axis. Only the taxa of which more than 10 % is explained by the model and the 15 most significant environmental variables are visualised.
Fig. 2 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 2. MDS ordination of the invertebrate communities (diversity) of the selected pans with similarities based on agglomerative cluster analysis overlain. Numbers 1–9 represent the different pans, while repeated numbers represent the various sampling occasions.
Fig. 4 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 4. Mean and standard deviation of the Shannon diversity index, Simpson's index, Margalef's species richness index, and Pielou's evenness index for each of the pans. The mean was obtained from the results of the various sampling surveys and as a result, the standard deviation indicates seasonal variation.
Fig. 1 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 1. Location of the various pans included in the study. Pans 1, 2 and 8 are influenced by mining activities, pan 3 by agricultural activities, and pans 4–7 and 9 are located in an area with few anthropogenic activities.
Fig. 3 in Aquatic invertebrate communities of perennial pans in Mpumalanga, South Africa: a diversity and functional approach
Fig. 3. MDS ordination of the community traits of the selected pans with similarities based on agglomerative cluster analysis overlain. Numbers 1–9 represent the different pans, while repeated numbers represent the various sampling occasions.
Going with the flow? Relative importance of riverine hydrologic connectivity versus tidal influence for spatial structure of genetic diversity and relatedness in a foundational submersed aquatic plant
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Morphological diversity of the cetacean mandibular symphysis coincides with novel modes of aquatic feeding
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Fig 5 in Diversity and taxonomic structure of aquatic macroinvertebrates in a fluvio-lacustrine system in south-west Côte d'Ivoire: The case of the Soubré hydroelectric dam lake
Fig 5: Correlation of the spatial distribution of macroinvertebrate orders
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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)
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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.