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306 results for “bird communities”
Fig. 1 in Spatial Heterogeneity Of Steppe Bird Community In The Azov-Black Sea Enclave Of The European Dry-Steppe Zone (Southern Ukraine)
Fig. 1. Division of the Azov-Black Sea dry-steppe enclave into count squares of 10x10 km and subregions: 1 — RB Prychornomoria, 2 — Lower Dnipro, 3 — LB Prychornomoria, 4 — N Prysyvashshia, 5 — NW Pryazovia, 6 — Syvash, 7 — Western Crimea, 8 — Central Crimea, 9 —Kerch Peninsula, 10 — Foothills.
Fig. 2 in Spatial Heterogeneity Of Steppe Bird Community In The Azov-Black Sea Enclave Of The European Dry-Steppe Zone (Southern Ukraine)
Fig. 2. Similarity of subregions of the dry-steppe enclave in the number of all steppe bird species: 1 — RB Prychornomoria, 2 — Lower Dnipro, 3 — LB Prychornomoria, 4 — N Prysyvashshia, 5 — NW Pryazovia, 6 — Syvash, 7 — Western Crimea, 8 — Central Crimea, 9 —Kerch Peninsula, 10 — Foothills.
Fig. 3 in Spatial Heterogeneity Of Steppe Bird Community In The Azov-Black Sea Enclave Of The European Dry-Steppe Zone (Southern Ukraine)
Fig. 3. Similarity of subregions of the dry-steppe enclave in the number of rare steppe bird species: 1 — RB Prychornomoria, 2 — Lower Dnipro, 3 — LB Prychornomoria, 4 — N Prysyvashshia, 5 — NW Pryazovia, 6 — Syvash, 7 — Western Crimea, 8 — Central Crimea, 9 —Kerch Peninsula, 10 — Foothills.
Data from: Species richness and evenness of European bird communities show differentiated responses to measures of productivity
<p>Understanding patterns of species diversity is crucial for ecological research and conservation, and this understanding may be improved by studying patterns in the two components of species diversity, species richness and evenness of abundance of species. Variation in species richness and evenness has previously been linked to variation in total abundance of communities as well as productivity gradients. Exploring both components of species diversity is essential because these components could be unrelated or driven by different mechanisms. The aim of this study was to investigate the relationship between species richness and evenness in European bird communities along an extensive latitudinal gradient. We examined their relationships with latitude and Net Primary Productivity, which determines energy and matter availability for heterotrophs, as well as their responses to territory densities (i.e., the number of territories per area) and community biomass (i.e., the bird biomass per area). We applied a multivariate Poisson log-normal distribution to unique long-term, high-quality time-series data, allowing us to estimate species richness of the community as well as the variance of this distribution, which acts as an inverse measure of evenness. Evenness in the distribution of abundance of species in the community was independent of species richness. Species richness increased with increasing community biomass, as well as with increasing density. Since both measures of abundance were explained by NPP, species richness was partially explained by energy-diversity theory (i.e., the more energy, the more species sustained by the ecosystem). However, species richness did not increase linearly with NPP but rather showed a unimodal relationship. Evenness was not explained either by productivity nor by any of the aspects of community abundance. This study highlights the importance of considering both richness and evenness to gain a better understanding of variation in species diversity. We encourage the study of both components of species diversity in future studies, as well as use of simulation studies to verify observed patterns between richness and evenness.</p>
Figure 1 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 1. Map of the RPPN Foz do Rio Aguapeí and location of the six studied areas in the RPPN Foz do Rio Aguapeí. Legend: (1) Lagoa São Gabriel; (2) Lagoa das Piranhas; (3) Lagoa dos Porcos; (4) Constructed wetland; (5) Aguapei river –; and (6) Lagoa da sede. Sources: CESP (2013) and Google Earth (2021).
Figure 2 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 2. Cumulative curve of the 52 waterfowl bird species in the RPPN Foz do Rio Aguapeí showing stability from sample 27 to 31.
Figure 3 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 3. NMDS (stress of 0.097) of the spatial distribution of the aquatic bird community recorded by the transect method in the lagoons of the RPPN Foz do Aguapeí, during the dry (rounded symbols) and rainy seasons (square symbols). Legend: LS = Lagoa da Sede; LSG = Lagoa São Gabriel; LP = Lagoa da Piranha and LPO = Lagoa dos Porcos.
Figure 4 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest
Figure 4. NMDS (stress of 0.001) of the spatial distribution of the aquatic bird community recorded by the transect method in the lotic environments of the RPPN Foz do Aguapeí, during the dry (rounded symbols) and rainy seasons (square symbols). Legend: AR = Aguapeí River and CW = Constructed wetland.
Figure 3 in Preliminary assessment of community composition and phylogeographic relationships of the birds of the Meratus Mountains, south-east Borneo, Indonesia
Figure 3. Lemon-bellied White-eyes Zosterops chloris from: (A) the Meratus Mountains (J. C. Eaton); (B) Tukangbesi Islands, south-east Sulawesi, Z. c. flavissimus (J. C. Eaton); and (C) Lore Lindu National Park, central Sulawesi, Z. c. mentalis (D. Beadle)
Figure 4 in Preliminary assessment of community composition and phylogeographic relationships of the birds of the Meratus Mountains, south-east Borneo, Indonesia
Figure 4. Male Hill Blue Flycatchers (Cyornis banyumas) from: (A) the Meratus Mountains (J. C. Eaton) and (B) Poring, Sabah, C. b. montanus (J. C. Eaton)
Figure 2 in Preliminary assessment of community composition and phylogeographic relationships of the birds of the Meratus Mountains, south-east Borneo, Indonesia
Figure 2. Rooted maximum likelihood trees indicating mtDNA-ND2 relationships between Meratus and other populations (in some cases species) for 12 species exhibiting marked genetic patterns. Bootstrap values are reported next to respective nodes.
Figure 4 in Bird communities of different woody vegetation types from the Niraj Valley, Romania
Figure 4. Species richness (a), abundance (b), diversity (c), and equitability (d) in different phytocoenoses. St- Salicetum triandrae, SP- Salici–Populetum, CF- Carpino–Fagetum, CQ- Carpino–Quercetum petraeae, GQmu- Genisto tinctoriae– Quercetum petraeae subass. melicetosum uniflorae, PC- Pruno spinosae–Crataegetum, and orchards. Different letters signify P <0.05.
Figure 3 in Bird communities of different woody vegetation types from the Niraj Valley, Romania
Figure 3. The abundance of different ecological categories in the studied plant associations. O- Orchards, PC- Pruno spinosae–Crataegetum, SP- Salici–Populetum, St- Salicetum triandrae, and forests.
Fig. 4 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 4. Differences by foraging guild among infected birds in the probability of Haemoproteus versus Plasmodium infection adjusted for the significant predictors in the model. Single asterisks with brackets beneath denote significant differences between categories.
Fig. 3 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 3. Differences by wintering ground among infected birds in the probability of Haemoproteus versus Plasmodium infection adjusted for the significant predictors in the model. Single asterisks with brackets beneath denote significant differences between categories.
Fig. 2 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 2. Differences by avian family in the probabilities of a) infection versus non-infection with a Haemosporidian parasite and b) among infected birds, the Plasmodium versus Haemoproteus infection adjusted for the significant predictors in the respective models. Single asterisks with brackets beneath denote significant differences between families.
Fig. 1 in Characterization of the Plasmodium and Haemoproteus parasite community in temperate-tropical birds during spring migration
Fig. 1. Location of field site in Clive Runnells Family Mad Island Marsh Preserve in Texas, USA (Image credit: Google Earth).
Figure 2 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 2. Dominance–diversity curves of bird assemblages in different alpine habitats in a valley near Lhasa, Tibet.
Figure 1 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 1. The map shows the vegetation patterns of the study site, and its location and landscape type at a larger geographical scale.
Figure 3 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 3. Seasonal change of relative abundances of several selected species in alpine habitats (pooled data) in a valley near Lhasa, Tibet.
ScienceDex guides
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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.