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125 results for “Waterbirds”
Distribution of waterbirds along the Drugeon river, France
<p>This dataset describes bird observations performed along the Drugeon river, France from 2006 to 2019.</p> <p>'<a href="https://zenodo.org/record/4540002/files/Carte.jpg?download=1"><strong>Carte.jpg</strong></a>' Map of the study area. The box shows the location of the Bannans and the Sainte-Colombe transects. Village locations and the route of the river have been taken from 'BD Carto ', kindly provided for research by the National Geographical Institute, and modified on the basis of field observations.</p> <p>'<a href="https://zenodo.org/record/4540002/files/Mat%20sup%201%20transects%20Drugeon%20synthe%CC%80se_Zenodo.xlsx?download=1"><strong>Mat sup 1 transects Drugeon synthèse_Zenodo.xlsx</strong></a>' since September 2006, two transects were carried out four times a fortnight,on foot in the early morning. All identified birds, by sight or by ear, were noted with special care to avoid double counting. The two transects are located in the downstream part of the Drugeon valley. The Bannans transect starts from the Drugeon diversion upstream from the Bannans flour mill and runs along the river downstream to the place called Mitray, with a lateral extension to the En Vau-Les-Aigues marsh located partly in the La Rivière-Drugeon village. This transect is approximately 5.4 km long, of which 1.4 km follow the river. It sampled the bird population of the river, the marshes more or less wooded with willows, birches and a few spruces, and the neighboring meadows and pastures. The flour mill dam provides a 3660 square meter body of water that is not flushed out because it is attached to a dwelling house. This is the only non-huntable wetland area along the two transects. The Sainte-Colombe transect starts from the village, crosses the mesophilic and then wet meadows to reach almost the downstream end of the Bannans transect. It then runs along the river in its undisturbed part to the Chaffois mill. The return to the village is via an agricultural path that crosses mesophilic and humid meadows, a marsh and a small wood of poplar and spruce trees. This transect is 8.6 km long including 2 km along the river. A U-shaped pond carved out of a marsh provides an open water surface of approximately 3400 square meters. It was also prospected during the transect.</p> <p>'<a href="https://zenodo.org/record/4540002/files/Mat%20sup%202%20donne%CC%81es%20brutes%20descente%20du%20Drugeon.xlsx?download=1"><strong>Mat sup 2 données brutes descente du Drugeon.xlsx</strong></a>' covers the censuses along the course of the Drugeon river from 2014 to 2019. Birds were recorded during a course carried out on foot along the river on a bank from the Dompierre bridge located between Vaux-et-Chantegrue and Bonnevaux villages to the Pont Rouge bridge next to Vuillecin village (29,2 km representing almost the entire course of the Drugeon river). Each year, the census was taken in sections during the second half of October, an average of one to one and a half months after the opening of the hunting season. Each waterbird observed was precisely located on a map and then plotted on Google Earth. Using Géoportail and field surveys, a precise description of the watercourse has been carried out on the whole of the prospected area: environment bordering each bank (forest, wooded marsh, herbaceous marsh, meadow, village), vegetation on each bank (continuous willow, megaphorbiaie with scattered willows, pure megaphorbiaie, phragmitaie, short herbaceous vegetation), width of the river, slope of the watercourse, status with respect to hunting (huntable zone, zone not huntable because located less than 150 m from homes and hunting reserve).</p> <p><em>The figures of the following three files are computed from the two files above: Mat sup 1 and Mat sup 2:</em></p> <p><strong>'<a href="https://zenodo.org/record/4540002/files/Mat sup 3 Down river walk.zip?download=1">Mat sup 3 Down river walk.zip</a>'</strong> Distribution and abundance 2014-2019 of the main waterbird species along the Drugeon river</p> <p><strong>'<a href="https://zenodo.org/record/4540002/files/Mat sup 4 Hunting season onset.zip?download=1">Mat sup 4 Hunting season onset.zip</a>'</strong> Abundance of the Anatidae species on the Bannans and Sainte-Colombe transects according to the opening date of waterbird hunting</p> <p><strong>'<a href="https://zenodo.org/record/4540002/files/Mat sup 5 Bannans transect.zip?download=1">Mat sup 5 Bannans transect.zip</a>'</strong> Abundance of the Anatidae species on the Bannans and Sainte-Colombe transects according to the opening date of waterbird hunting</p> <p><strong>'<a href="https://zenodo.org/record/4540002/files/transectsDomi.kml?download=1">TransectsDomi.kml</a>' </strong>a kml file locating the Bannans and Sainte-Colombe transects (polylines).</p>
Waterbirds counts in the Drugeon bassin, France (game reserves and hunting areas) in 2020
<p>This dataset describes waterbird observations performed in game reserves and in hunting areas of the Drugeon river basin, France, in 2020.</p> <p>For each game reserve, a similar hunting area was selected in the same or an adjacent commune. If the hunting reserve was a stretch of river, as in Bonnevaux or Houtaud, another stretch of river was surveyed for comparison. In Frasne, the hunting reserve covers the Lothaud pond. Therefore, the adjacent Lucien pond was surveyed as a huntable area. The other nine wetland reserves are located in marshes and therefore nine other marshes were surveyed. Once this work was done, 10 other wetlands were also surveyed to complete the study. In total, 12 hunting reserves and 22 huntable areas, all in wetlands, were surveyed twice during the autumn of 2020. One of the 13 reserves was not surveyed (just forgotten in the sampling plan). The first survey was carried out between 24 August and 5 September, i.e. just before the opening of the waterfowl hunting season on 6 September. The second pass was carried out between 19 and 29 October, i.e. 44 to 54 days after the opening of the hunting season.</p> <p>Each sector was surveyed on foot, with round trips spaced at approximately 20 m intervals. The use of the Caynax application on Android allowed to control the location of the route, the regular spacing of the passages and the length of the route taken on each wetland. For both ponds, the water bodies were circled and birds were counted along the banks and on the water table. All characteristic wetland birds were noted, specifying whether they had been seen landing or in transit flight. Only birds landing are taken into account in this study. The observations were then recorded in an Excel table with the name of the area, its hunting status, the surface area, the number of kilometres covered during the survey and the date of the survey (see table <a href="https://zenodo.org/api/files/1546581e-0a8a-4966-9250-cc37eeafb414/db0.txt">db0.txt</a> and article cited below for more details).</p> <p><strong>FILE DESCRIPTION:</strong></p> <p><a href="https://zenodo.org/record/7539822/files/CartePAIGN_BB.jpg?download=1">CartePAIGN_BB.jpg </a>map of the areas studied. Green, game reserves sampled; red , hunting areas sampled: blue, one game reserve not sampled.</p> <p><a href="https://zenodo.org/record/7539822/files/db0.txt?download=1">db0.txt</a> counts for each area sampled</p> <ul> <li>com, commune</li> <li>lieu, place name</li> <li>pair, pair ID</li> <li>res, game reserve (OUI = yes, NON = no)</li> <li>ha, area sampled</li> <li>km, number of kilometers walked</li> <li>mois, month</li> <li>The next 28 colums are species ID, for full names see table <a href="https://zenodo.org/record/7539822/files/Statuts.txt?download=1">Statuts.txt</a>.</li> </ul> <p><a href="https://zenodo.org/record/7539822/files/Game reserves and hunting areas sampled.kml?download=1">Game reserves and hunting areas sampled.kml </a> kml file of the areas sampled (game reserves in green, hunting areas sampled in red; in blue, one reserve not sampled)</p> <p><a href="https://zenodo.org/record/7539822/files/Statuts.txt?download=1">Statuts.txt</a> list of species recorded</p> <ul> <li>espece, specie name (in French)</li> <li>nom latin, latin name</li> <li>nom anglais, species name (in English)</li> <li>sp, species ID</li> <li>protection, protection status: Protégée, protected; Chassable, huntable</li> <li>migrateur, migratory status: Migrateur tardif, late migratory; Migrateur précoce, early migratory</li> </ul> <p><strong>SUPPLEMENTARY FILES</strong></p> <p><a href="http://zenodo.org/record/7539822/files/R_code_for_Analysis.zip?download=1">R_code_for_analysis.zip</a> Workflow (in French) and R code for the analyses carried out in the article Michelat & Giraudoux (2023).</p> <p> </p>
Distribution models for riparian landbirds and waterbirds in the Sacramento-San Joaquin Delta
<p><strong>SUMMARY</strong><br> Distribution models for 9 riparian landbird species and 6 groups of waterbird species in the Sacramento-San Joaquin River Delta of California. </p> <p><strong>DESCRIPTION</strong><br> These predictive models were developed to relate the probability of species or group presence as a function of the surrounding landscape, facilitating predictions of species presence or absence over the entire landscape. Each .RData object is structured as a list containing individual model objects of class `gbm` for each species or group.</p> <p>Models were developed using Boosted Regression Trees, implemented in R using the R packages `dismo` (Hijmans et al. 2021) and `gbm` (Greenwell et al. 2020). Models were developed from pre-existing bird survey data, including 2,547 surveys for riparian landbirds conducted at 716 unique locations throughout the Central Valley of California during the breeding season (May and June), 2011–2019, and 7,820 surveys for waterbirds conducted at 504 unique locations in the Delta during the fall (July 15–November 15) and winter (November 17–March 5) seasons, 2013–14 and 2014–15. Waterbird models were developed for each of the fall and winter seasons, with 46 species grouped into 6 distinct groups defined by similar habitat requirements, foraging style, and diet. </p> <p>These models were used to predict the distribution of each species and group across a baseline Delta landscape (representing land cover in 2018), and these predictions were used to identify Priority Bird Conservation Areas in the Delta. In addition, the models were used to predict distributions for alternative scenarios of future landscape change, and to evaluate the net change from the baseline distributions in the total area of suitable habitat. These models are required for evaluating the change in Biodiversity Support benefits using the R package "DeltaMultipleBenefits", which provides the code and work flow for repeating the initial scenario analyses or analyzing new scenarios.</p> <p>For additional details about the development and applications of these data, please see: </p> <ul> <li>Dybala K, Sesser K, Reiter M, Shuford WD, Golet GH, Hickey C, Gardali T. (<em>In review</em>) Priority Bird Conservation Areas in California’s Sacramento–San Joaquin Delta.</li> <li>Dybala KE, et al. (<em>In review</em>) Multiple-benefit Conservation in Practice: A Framework for Quantifying Multi-dimensional Impacts of Landscape Change in California’s Sacramento–San Joaquin Delta.</li> <li>Dybala KE (2023) <em>DeltaMultipleBenefits: Projecting the Multiple Benefits of Land Cover Change in the Sacramento-San Joaquin River Delta</em>. R package version 1.0.0. doi:10.5281/zenodo.7718620. https://pointblue.github.io/DeltaMultipleBenefits </li> </ul> <p><strong>Literature Cited:</strong></p> <ul> <li>Greenwell B, Boehmke B, Cunningham J, Developers G (2020). <em>gbm: Generalized Boosted Regression Models</em>. R package version 2.1.8. https://CRAN.R-project.org/package=gbm</li> <li>Hijmans RJ, Phillips S, Leathwick J, Elith J (2021). <em>dismo: Species Distribution Modeling</em>. R package version 1.3-5. https://CRAN.R-project.org/package=dismo</li> </ul> <p><strong>FUNDING STATEMENT</strong><br> These data were developed as part of the project "Trade-offs and Co-benefits of Landscape Change on Bird Communities and Ecosystem Services in the Sacramento–San Joaquin River Delta", funded by Proposition 1 Delta Water Quality and Ecosystem Restoration Program, Grant Agreement Number – Q1996022, administered by the California Department of Fish and Wildlife.</p> <p><strong>POINT OF CONTACT</strong><br> Kristen Dybala, Point Blue Conservation Science, kdybala@pointblue.org</p> <p><strong>SUGGESTED CITATION</strong><br> Dybala KE, Sesser KA, Reiter ME, Shuford WD, Golet GH, Hickey CM, Gardali T. 2023. Distribution models for riparian landbirds and waterbirds in the Sacramento-San Joaquin Delta. doi: 10.5281/zenodo.7531945</p> <p><strong>DATA DISTRIBUTION</strong><br> Zenodo. (https://doi.org/10.5281/zenodo.7531945)</p> <p><strong>PROGRESS</strong><br> Complete, but note that the accompanying manuscript has not yet undergone peer-review, and thus these data may require future revision.</p> <p><strong>UPDATE FREQUENCY</strong><br> Not Planned</p> <p><strong>DATE</strong><br> These models were developed 2019-2022, based on bird survey data collected 2011-2019.</p> <p><strong>FIELD DEFINITIONS</strong><br> N/A</p> <p><strong>ABBREVIATION DEFINITIONS</strong></p> <p>BRT_models_riparianlandbirds.RData:</p> <ul> <li><strong>NUWO:</strong> Nuttall's Woodpecker (<em>Picoides nuttallii</em>)</li> <li><strong>ATFL: </strong>Ash-throated Flycatcher (<em>Myiarchus cinerascens</em>)</li> <li><strong>BHGR: </strong>Black-headed Grosbeak (<em>Pheucticus melanocephalus</em>)</li> <li><strong>LAZB: </strong>Lazuli Bunting (<em>Passerina amoena</em>)</li> <li><strong>COYE:</strong> Common Yellowthroat (<em>Geothlypis trichas</em>)</li> <li><strong>YEWA: </strong>Yellow Warbler (<em>Setophaga petechia</em>)</li> <li><strong>SPTO: </strong>Spotted Towhee (<em>Pipilo maculatus</em>)</li> <li><strong>SOSP:</strong> Song Sparrow (<em>Melospiza melodia</em>)</li> <li><strong>YBCH: </strong>Yellow-breasted Chat (<em>Icteria virens</em>)</li> </ul> <p>BRT_models_waterbirds.RData:</p> <ul> <li><strong>geese:</strong> Geese <ul> <li>Greater White-fronted Goose (<em>Anser albifrons</em>)</li> <li>Snow Goose (<em>Anser caerulescens</em>)</li> <li>Ross's Goose (<em>Anser rossii</em>)</li> <li>Cackling Goose (<em>Branta hutchinsii</em>)</li> <li>Canada Goose (<em>Branta canadensis</em>)</li> </ul> </li> <li><strong>dblr: </strong>Dabbling ducks, including: <ul> <li>Wood Duck (<em>Aix sponsa</em>)</li> <li>Gadwall (<em>Mareca strepera</em>)</li> <li>American Wigeon (<em>Mareca americana</em>)</li> <li>Mallard (<em>Anas platyrhynchos</em>)</li> <li>Blue-winged Teal (<em>Spatula discors</em>)</li> <li>Cinnamon Teal (<em>Spatula cyanoptera</em>)</li> <li>Northern Shoveler (<em>Spatula clypeata</em>)</li> <li>Northern Pintail (<em>Anas acuta</em>)</li> <li>Green-winged Teal (<em>Anas carolinensis</em>)</li> </ul> </li> <li><strong>divduck: </strong>Diving ducks (<em>Note: this model was only developed for the winter season</em>) <ul> <li>Canvasback (<em>Aythya valisineria</em>)</li> <li>Ring-necked Duck (<em>Aythya collaris</em>)</li> <li>Lesser Scaup (<em>Aythya affinis</em>)</li> <li>Bufflehead (<em>Bucephala albeola</em>)</li> <li>Common Goldeneye (<em>Bucephala clangula</em>)</li> <li>Hooded Merganser (<em>Lophodytes cucullatus</em>)</li> <li>Common Merganser (<em>Mergus merganser</em>)</li> <li>Ruddy Duck (<em>Oxyura jamaicensis</em>)</li> </ul> </li> <li><strong>crane: </strong>Cranes <ul> <li>Greater Sandhill Crane (<em>Antigone canadensis tabida</em>)</li> <li>Lesser Sandhill Crane (<em>Antigone canadensis canadensis</em>)</li> </ul> </li> <li><strong>shore: </strong>Shorebirds <ul> <li>Western Sandpiper (<em>Calidris mauri</em>)</li> <li>Least Sandpiper (<em>Calidris minutilla</em>)</li> <li>Dunlin (<em>Calidris alpina</em>)</li> <li>Black-necked Stilt (<em>Himantopus mexicanus</em>)</li> <li>American Avocet (<em>Recurvirostra americana</em>)</li> <li>Greater Yellowlegs (<em>Tringa melanoleuca</em>)</li> <li>Lesser Yellowlegs (<em>Tringa flavipes</em>)</li> <li>Long-billed Dowitcher (<em>Limnodromus scolopaceus</em>)</li> <li>Short-billed Dowitcher (<em>Limnodromus griseus</em>)</li> <li>Wilson's Snipe (<em>Gallinago delicata</em>)</li> </ul> </li> <li><strong>cicon: </strong>Herons/Egrets (Ciconiiformes) <ul> <li>Great Blue Heron (<em>Ardea herodias</em>)</li> <li>Great Egret (<em>Ardea alba</em>)</li> <li>Snowy Egret (<em>Egretta thula</em>)</li> <li>Cattle Egret (<em>Bubulcus ibis</em>)</li> <li>Green Heron (<em>Butorides virescens</em>)</li> <li>Black-crowned Night-Heron (<em>Nycticorax nycticorax</em>)</li> </ul> </li> </ul> <p><strong>ACCESS & USE CONSTRAINTS</strong><br> CC-by-4.0 (https://creativecommons.org/licenses/by/4.0/)</p> <p><strong>KEYWORDS</strong></p> <ul> <li><strong>Themes: </strong>birds, landbirds, songbirds, waterbirds, waterfowl, shorebirds, distribution, habitat</li> <li><strong>Place: </strong>Sacramento-San Joaquin River Delta, Central Valley, California</li> </ul>
Fig. 2, A in An Overview Of The Ecological Values Of Soumar Wetland On Waterbirds Diversity
Fig. 2, A — monthly trend of abundance and richness of waterbirds in the Soumar wetland (Setif, Algeria). Abundance = number of individuals and Taxa_S = number of species. B — cumulative effect between abundance and richness using the Gini measure of evenness (G').
Fig. 4 in An Overview Of The Ecological Values Of Soumar Wetland On Waterbirds Diversity
Fig. 4. Diversity profile of waterbirds alpha diversity for each month in the Soumar wetland (Setif, Algeria). α = 0 richness; α = 1 Shannon–Weaver index; α = 2 inverse Simpson index (1/D); and α = a high value approximates the Berger–Parker index.
Fig. 3 in Impact Of Coastal Wetland Restoration Strategies In The Chongming Dongtan Wetlands, China: Waterbird Community Composition As An Indicator
Fig. 3. Densities of Charadriidae (a), Anatidae (b), Ardeidae (c), and Laridae (d) among autumn, winter and spring in four sites. Error bars represent ±1 SE.
Fig. 3 in Waterbird Distribution Patterns And Environmentally Impacted Factors In Reclaimed Coastal Wetlands Of The Eastern End Of Nanhui County, Shanghai, China
Fig. 3. Non-metricmulti-dimensionalscaling(NMDS) ordinationplotsshowingwaterbird communitystructurefromsixstudysites.
Data from: Evaluating temporal and spatial transferability of a tidal inundation model for foraging waterbirds
<p>For ecosystem models to be applicable outside their context of development, temporal and spatial transferability must be demonstrated. This presents a challenge for modeling intertidal ecosystems where spatiotemporal variation arises at multiple scales. Models specializing in tidal dynamics are generally inhibited from having wider ecological applications by coarse spatiotemporal resolution or high user competency. The Tidal Inundation Model of Shallow-water Availability (TiMSA) uniquely simulates tides to empirically derive a time-integrated measure of availability for a shallow water depth range defined by the user. To evaluate temporal and spatiotemporal transferability, we employed TiMSA at the development site in the Florida Keys and at novel sub-sites in the Florida Bay (application site) under a different time period (application period). We used foraging Little Blue Herons (<em>Egretta caerulea</em>) as the ecological unit with which to constrain the model's 'water depth window', i.e., range of water depths to estimate shallow-water availability. At the development site, temporally consistent water depth windows contrasted with interannual variation in shallow-water availability which revealed short-term changes in Little Blue Heron foraging habitat. At the application site, water depth accuracy varied by sub-site and was correlated with spatial error in bathymetric elevation. Although TiMSA parameters were sensitive to environmental temporal variation and uncertainty in spatial data, a spatially-explicit water depth window generated reliable estimates of shallow-water conditions over space and time at the development and application sites. By exploring the contributing factors to model error, we provide solutions to reduce uncertainty of TiMSA parameters at potential application sites and recommendations for addressing bathymetric inaccuracy in digital elevation models. Accurately quantifying spatiotemporal changes of shallow-water has implications for monitoring habitat conditions for tidally-influenced species and projecting future changes to coastal ecosystems in response to anthropogenic stressors and natural disturbances such as sea level rise.</p>
Dataset of observations of waterbird community wintering in Crimea Reservoirs in 2009-2021
<p>The result of waterbird counting carried out in winter 2009-2021 in Crimean Reservoirs is presented. The dataset contains the number of individual bird species, as well as data on volume and water surface area. In the script file, there is a code applied to analyse the data.</p>
Fig. 7 in Importance Of Utliukskiy Liman For The Protection Of Waterbirds In The Azov-Black Sea Region During Autumn Migration
Fig. 7. Monthly percentage of the relative numbers of waterbirds at Utliukskiy Liman per different orders.
Fig. 8 in Importance Of Utliukskiy Liman For The Protection Of Waterbirds In The Azov-Black Sea Region During Autumn Migration
Fig. 8. Importance of Utliukskiy Liman among key wetlands of the region, basing on the ratio of the total bird numbers recorded in the region in August of 2004, 2006, 2009 and 2012.
Figure 2 in Impacts of anthropogenic activities and habitat degradation on breeding waterbirds
Figure 2. Distribution and observation frequency of urbanization, industrialization, pollution, overgrazing, disturbance, and illegal reed cutting and burning threats in 2002.
Fig. 2 in Neglected parasite reservoirs in wetlands: Prevalence and diversity of avian haemosporidians in waterbird communities in Northeast China
Fig. 2. Diversity (a) and frequency (b) of haemosporidian parasite lineages obtained from waterbirds in Tumuji, China. Sankey diagrams of the correlation between waterbirds (left, sorted by order) and identified haemosporidian lineages (right). The width of the lines indicates proportion to the infection recordings in waterbirds, and the colour of the lines indicates the range of the lineage size. The numbers represent infection cases. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Neglected parasite reservoirs in wetlands: Prevalence and diversity of avian haemosporidians in waterbird communities in Northeast China
Fig. 3. Bayesian phylogenetic reconstruction of 479 bp haemosporidian cyt b lineages from waterbirds in Tumuji, China, with Hepatocystis sp. as an outgroup, and several morpho-species were included for a higher resolution of phylogenetic patterns. Posterior probabilities higher than 0.90 are shown by the node. Lineages that were previously recorded and detected in this study are marked in bold. Major monophyletic clades with high support are labelled behind the line (Leucocytozoon: L1-L5; Haemoproteus: H1–H3).
Fig. 1 in Neglected parasite reservoirs in wetlands: Prevalence and diversity of avian haemosporidians in waterbird communities in Northeast China
Fig. 1. Heatmap of the apparent prevalence of waterbird species in the Tumuji National Nature Reserve. Presenting infected waterbird species (left, sorted by order) with prevalence (indicated by colour gradient, scale from 0 to 1). The sample size is shown in parentheses.
Fig. 5 in Can nesting waterbirds influence the community structure of macroinvertebrates in southern Brazilian intermittent wetlands?
Fig. 5. NMDS ordination diagram of (A) the composition of aQuatic macroinvertebrate communities in control and rookery wetlands in southern Brazil; (B) NMDS ordination diagram of the composition of aQuatic macroinvertebrate communities and sampling seasons. Red arrows indicate the water physicochemical variables significantly correlated (P <0.05) with the ordination, as detected by the envfit procedure. Abbreviation of water physicochemical variables: T (water temperature), MO (organic matter in the sediment), NTU (water turbidity); ORP (oXidation-reduction potential). TaXa abbreviation: Physa/Stenophysa (P.S), Thiaridae (Thr), Sepedon (Spd), Celina (Cln), Hidrophilus (Hdr), Dampfius (Dmp), Notonecta (Ntn), Lissorhoptrus (Lss), Belostoma (Bls), Oxyagrion (OXy), Tramea (Trm), Erythemis (Ery), Ochrotrichia (Och), Isotoma sp. (I), Oribatidae (Orb), Leptophlebia (Lpt), Eristalis (Ers), Amphizoa (Amp), Naucoris (Ncr), Delphacidae (D), Rhyacophila (Rhy), Mesovelia (Msv), Gerris (Grr), Ilybius (Ily), Hydrobiomorpha (Hyd), Berosus (Brs), Laccobius (Lcc), Derallus (Drl), Buenoa (Bun), Ambrysus (Amb), Neoplea (Npl), Perithemis (Prt). (C) projection of the water nutrients significantly correlated (P <0.05) with the ordination of aQuatic macroinvertebrate communities in the first sampling season (spring 2016), as detected by the envfit procedure (Ortoph, orthophosphate).
Fig. 3 in Can nesting waterbirds influence the community structure of macroinvertebrates in southern Brazilian intermittent wetlands?
Fig. 3. Abundance of aQuatic macroinvertebrates in control and rookery wetlands in each sampling season, southern Brazil. Whiskers indicate upper and lower 95% confidence intervals (± standard error).
Fig. 1 in Can nesting waterbirds influence the community structure of macroinvertebrates in southern Brazilian intermittent wetlands?
Fig. 1. Map of the study area with the location of the studied wetlands in southern Brazil. Filled circles indicate the control wetlands (wetlands without the presence of nesting bird colonies). Filled stars indicate the rookery wetlands.
Fig. 4 in Can nesting waterbirds influence the community structure of macroinvertebrates in southern Brazilian intermittent wetlands?
Fig. 4. Relationships between the richness of aQuatic macroinvertebrate communities and water turbidity (A), total solids dissolved (B). Relationships between the abundance of aQuatic macroinvertebrates and nitrate (C) and organic phosphorus (D)(TDS, total dissolved solids).
Fig. 3 in New Records of Fossil 'Waterbirds' from the Miocene of Kenya
Fig. 3. New records of Miocene Kenyan waterbirds. Indeterminate cranial end of right coracoid referred to Threskiornithidae (KNM MB 563) in ventral (A), dorsal (B), and medial (C) views; Nycticorax cf. nycticorax, incomplete right coracoid (KNH MB 562) in medial (D), dorsal (E), and ventral (F) views. Not to scale, see text for measurements.
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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.