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28 results for “bird occurrence”
Data from: Area of habitat maps and validated occurrences for neotropical birds of conservation concern
<p>Understanding species distributions is essential for advancing bird conservation, especially in the rapidly changing landscapes of the Neotropics, where habitat loss and degradation are accelerating. Area of Habitat (AOH) maps offer valuable spatial tools for illustrating species distributions by highlighting potentially suitable habitats within their geographic range. In this study, we generated AOH maps for 713 neotropical bird species of conservation concern, which includes species listed as globally or nationally threatened, endemic, or with restricted ranges. Using primary biodiversity data and a structured geospatial workflow, we refined approximately 2.5 million occurrence records through a flagging process and validated 50,743 records manually.<strong> </strong>This unparalleled effort led to the creation of high-quality AOH maps, along with altitude-corrected Extent of Occurrence (EOO-DEM) and Inverse Distance Weighted (IDW) range maps. Our AOH maps significantly improved species distribution predictions for 82% of species, over EOO-DEM maps. The validated occurrences and AOH maps produced in this study have wide-ranging applications, providing a valuable basis for the development of new species distribution models and for evaluating species’ natural history, extinction risk, and habitat threats. They also support the identification of priority areas for strategic conservation investments. Importantly, these maps played a key role in systematic conservation planning analyses for the Conserva Aves initiative, which is facilitating the creation of more than 80 new protected areas across Latin America, safeguarding 2 million hectares and improving the management of an additional 2 million hectares (<a href="https://conserva-aves.org/">https://conserva-aves.org/</a>).</p>
Lesser Yellowlegs location data describing the occurrence of birds within harvest zones in the Caribbean and South America
<p>Shorebirds have experienced a precipitous reduction in abundance over the past four decades. While some threats to shorebirds are widespread (e.g. habitat alteration), others are regional and may affect specific populations. Lesser Yellowlegs (<i>Tringa flavipes</i>) are long-distance migrants that breed across the North American boreal biome and have declined in abundance by 60-80% since the 1970s. The documented harvest of Lesser Yellowlegs in the Caribbean and northeastern South America during southward migration is a possible limiting factor for the species, but it is unknown to what extent birds from different breeding origins may be affected. To address the question of differential occurrence in harvest zones during southward migration, we used PinPoint GPS Argos transmitters to track the southward migrations of 85 adult Lesser Yellowlegs from across the species' breeding range and 80° of longitude from Anchorage, Alaska, USA to the Mingan Archipelago, Quebec, Canada. We classified migratory locations as inside or outside three zones with high levels of harvest (Caribbean, coastal Guianas, and coastal Brazil) and then fit generalized additive mixed models to estimate the probability of occurrence of Lesser Yellowlegs in harvest zones according to their breeding origin. Individuals from the Eastern Canada population had a higher probability of occurrence within one or more harvest zones and remained in those zones longer than individuals breeding in Alaska and western Canada. Linear regressions also suggested that longitude of the breeding origin is an important predictor of occurrence in harvest zones during southward migration. Lastly, our findings, combined with other sources of evidence, suggest that current estimated harvest rates may exceed sustainable limits for Lesser Yellowlegs, which warrants further investigation.</p>
Linked collectors and determiners for: Literature based species occurrence data of birds of North-East India.
Natural history specimen data linked to collectors and determiners held within, "Literature based species occurrence data of birds of North-East India". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/6115006c-ec2f-4bfd-9315-115879785446">https://bionomia.net/dataset/6115006c-ec2f-4bfd-9315-115879785446</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/6115006c-ec2f-4bfd-9315-115879785446">https://gbif.org/dataset/6115006c-ec2f-4bfd-9315-115879785446</a>. Formatted as a Frictionless Data package.
The evolution of local co-occurrence in birds in relation to latitude, degree of sympatry, and range symmetry
<p>This study analyzes a large sample of occurrence records (7,834,063 checklists from the eBird project) of 887 passerine bird species distributed globally. Under the assumption that speciation and trait divergence rates are faster in temperate areas and that trait divergence does promote local secondary contact of newly evolved species, the expectaction is that local co-occurrence increases with latitude.Syntopy increased from the Southern to Northern Hemisphere and was positively related to sympatry and range symmetry.</p> <p> </p>
Lesser Yellowlegs location data describing the occurrence of birds within harvest zones in the Caribbean and South America
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Effects of phylogenetic distance, niche overlap and habitat alteration on spatial co-occurrence patterns in Neotropical bats and birds
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Vertebrate-habitat relationships: Logistic regression models predict probability of occurrence of bird and small mammal species in western Oregon
Logistic regression models predicting probability of occurrence of bird and of small-mammal species were produced using animal-habitat data sets from throughout western Oregon (Garman and Cole 1999 - Vertebrate Habitat Relationships Data Bank (VHRDB), Report to Coastal Landscape Analysis and Modeling Study). Regression coefficients, variables, and metrics related to model predictions are provided here under Entity 1, and in VHRDB as VERTLOGR.
Data from: Land-use homogenization reduces the occurrence and diversity of frugivorous birds in a tropical biodiversity hotspot
<p>These datasets have the variables used in the paper "Land-use homogenization reduces the occurrence and diversity of frugivorous birds in a tropical biodiversity hotspot" as well as the script to perform the analysis.</p>
Plant and bird phenology and plant occurrence from 1851 to 2020 (non-continuous) in Thoreau's Concord, Massachusetts
<p><span>Concord, Massachusetts, USA has served as an active location for phenological observations since philosopher and naturalist Henry David Thoreau began recording plant and animal occurrence and phenology in 1851. Since that time, numerous naturalists, scientists, and researchers have continued this tradition, creating an invaluable time series of 758 species in a single location. A total of 13,441 phenological records, spanning 118 years, now exist, with observations of many species ongoing. Relative abundance data for an additional 200 plant species is also provided. Thoreau's published journals and records in Special Collections libraries at the Concord Free Public Library, Harvard University, Peabody Essex Museum, and Morgan Library and Museum provide insight into his methods of routinely walking around Walden Pond, through natural areas, and within the town of Concord, seeking the first leaf or flower on plants, seasonal observations of migratory birds, and fruit maturation times. Several amateur naturalists, and most recently the present research group, have followed this method of regularly searching Concord for the earliest signs of seasonal events, visiting many of the same locations including Walden Pond, the site made famous by Thoreau. While Thoreau's observations were initially made out of a curious desire to document the natural world, these data have led to dozens to contemporary studies, addressing timely issues such as climate change, conservation, ecology, and invasive species. This time series of data, initiated by Thoreau and continued by others, has resulted in dozens of peer-reviewed publications, a popular science book, and numerous educational and outreach opportunities. These data grow increasingly valuable with time and as new and creative studies are undertaken with Thoreau's historic records. No copyright restrictions apply to the use of this data set other than citing this publication. </span></p>
Bird species occurrence point data(2015-2019)
<p>The data comes from BirdReport.cn(http://www.birdreport.cn/),including the numbers and geographic location of six bird species (<em>Falco tinnunculus, Ardea alba, Aix galericulata, Dendrocopos canicapillus, Streptopelia chinensis, Turdus mandarinus</em>) in 2015-2019.</p>
Plant and bird phenology and plant occurrence from 1851 to 2020 (non-continuous) in Thoreau’s Concord, Massachusetts
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Remotely sensed forest understory density and nest predator occurrence interact to predict suitable breeding habitat and the occurrence of a resident boreal bird species
<p>Habitat suitability models (HSM) based on remotely sensed data are useful tools in conservation work. However, they typically use species occurrence data rather than robust demographic variables, and their predictive power is rarely evaluated. These shortcomings can result in misleading guidance for conservation. Here, we develop and evaluate a HSM based on correlates of long term breeding success of an open nest building boreal forest bird, the Siberian jay. In our study site in northern Sweden, nest failure of this permanent resident species is driven mainly by visually hunting corvids that are associated with human settlements. Parents rely on understory nesting cover as protection against these predators. Accordingly, our HSM includes a light detection and ranging (LiDAR) based metric of understory density around the nest and the distance of the nest to the closest settlement to predict breeding success. It reveals that a high understory density 15-80 m around nests is associated with increased breeding success in territories close to settlements (<1.5 km). Farther away from human settlements breeding success is highest at nest sites with a more open understory providing a favourable warmer microclimate. We validated this HSM by comparing the predicted breeding success with landscape-wide census data on Siberian jay occurrence. The correlation between breeding success and occurrence was strong up to 40 km around the study site. However, the HSM appears to overestimate breeding success in regions with a milder climate, and therefore higher corvid numbers. Our findings suggest that maintaining patches of small diameter trees may provide a cost-effective way to restore the breeding habitat for Siberian jays up to 1.5 km from human settlements. This distance is expected to increase in the warmer, southern, and coastal range of the Siberian jay where the presence of other corvids is to a lesser extent restricted to settlements.</p>
Data from: Survey completeness of a global citizen-science database of bird occurrence
<p>Measuring the completeness of survey inventories created by citizen-science initiatives can identify the strengths and shortfalls in our knowledge of where species occur geographically. Here, we use occurrence information from eBird to measure the survey completeness of the world's birds in this database at three temporal resolutions and four spatial resolutions across the annual cycle during the period 2002 to 2018. Approximately 84% of the earth's terrestrial surface contained bird occurrence information with the greatest concentrations occurring in North America, Europe, India, Australia, and New Zealand. The largest regions with low levels of survey completeness were located in central South America, northern and central Africa, and northern Asia. Across spatial and temporal resolutions, survey completeness in regions with occurrence information was 55–74% on average, with the highest values occurring at coarser temporal and coarser spatial resolutions and during spring migration within temperate and boreal regions. Across spatial and temporal resolutions, survey completeness exceeded 90% within <i>ca</i>. 4–14% of the earth's terrestrial surface. Survey completeness increased globally from 2002 to 2018 across all months of the year at a rate of <i>ca</i>. 3% per year. The slowest gains occurred in Africa and in montane regions, and the most rapid gains occurred in India and in tropical forests after 2012. Thus, occurrence information from a global citizen-science program for a charismatic and well-studied taxon was geographically broad but contained heterogeneous patterns of survey completeness that were strongly influenced by temporal and especially spatial resolution. Our results identify regions where the application of additional effort would address current knowledge shortfalls, and regions where the maintenance of existing effort would benefit long-term monitoring efforts. Our findings highlight the potential of citizen science initiatives to further our knowledge of where species occur across space and time, information whose applications under global change will likely increase.</p>
Data from: Wind farms affect the occurrence, abundance and population trends of small passerine birds: the case of the Dupont's lark
1.The assessment of the effects of wind farms on bird populations is commonly based on collision fatality records. This could undervalue the effect of wind farms on small-sized birds. We evaluate the effect of wind turbines on occurrence, abundance and population trends of a threatened small passerine species, the Dupont's lark Chersophilus duponti. To our knowledge, this is one of the first studies addressing the effect of wind farms on population trends using time series data from multiple wind farms. 2.We estimated population trends by fitting a switching linear trend model with the software TRIM (Trend & Indices for Monitoring data). We used multiannual data surveys of five populations in the presence of wind farms and nine in their absence (2008–2016 period). Furthermore, we fitted a logistic and a negative binomial regression model to test the effect of wind farm proximity on species occurrence and abundance in 2016, respectively. We incorporated local connectivity and habitat availability estimates in both models as predictors. 3.Results showed a negative trend overall, but that was significantly more regressive in the presence of wind farms: 21.0% versus 5.8% average annual decline in the absence of wind farms. 4.Dupont's lark occurrence and abundance in 2016 were negatively affected by measures of population isolation and positively affected by the distance to wind farms. 5.These results highlight the negative effect of isolation and wind farm proximity on Dupont's lark population parameters. Taking into account the metapopulation structure exhibited by the species in the study area, this work established a 4.5 km threshold distance from wind farms, beyond which Dupont's lark populations should be unaffected. 6.Synthesis and applications. This work highlights the negative impact of wind farms on small-sized birds and provides a 4.5 km threshold distance that should be taken into account in the design of future wind energy projects. Moreover, we suggest an analytical approach based on population trends, species abundance and occurrence variation in relation to wind farms, useful for the assessment of wind farm impacts on small-sized birds.
FIGURE 15 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURE 15. The maximum likelihood tree showing phylogenetic relationships among four Megaxyela species and four outgroup taxa (-ln likelihood = 2913.5317). Numbers on branches indicate bootstrap values for MP and ML analyses (shown only for higher nodes with>50). Each terminal label represents the GenBank accession number for COI gene sequence. Larval samples are marked with an asterisk.
FIGURES 24–26. Megaxyela togashii. 24 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 24–26. Megaxyela togashii. 24, Late instar larva, Ashoro Town, June 30, 2010 (arrows: borders of segments; T1– T3: thoracic segments 1–3; A1–5: abdominal segments 1–5; 1–4: 1st to 4th annulets of abdominal segments 3 and 4); 25, late instar larva from Kihoku Town (sample no. 766), May 9, 2016, caudal abdominal segments, caudal view (A9, A10: abdominal segments 9, 10); 26, same larva, second and third thoracic segments, dorsal view (arrows: borders of segments; T1–T3: thoracic segments 1–3; 1–4: 1st to 4th annulets of thoracic segments 2 and 3). All photographed by A. Shinohara.
FIGURES 16–23. Megaxyela togashii. 16 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 16–23. Megaxyela togashii. 16, Live mature larva from Tatsuno City (sample no. 762), May 4, 2016 (arrows: borders of segments; T1–T3: thoracic segments 1–3; A1–10: abdominal segments 1–10); 17–23, alcohol-preserved mature larva from Kihoku Town (sample no. 765), fixed May 9, 2016; 17, head, frontal view; 18, left antenna, lateral view; 19, right mandible, lateral view (pt: posterior tooth); 20, right mandible, frontal view (pt: posterior tooth); 21, left mandible frontal view; 22, apical part of abdomen (arrows: borders of segments; A8–10: abdominal segments 8–10; 1–4: 1st to 4th annulets of abdominal segment 8); 23, anterior part of abdomen (arrows: borders of segments; A2–4: abdominal segments 2–4; 1–4: 1st to 4th annulets of abdominal segments 3 and 4; ssl: subspiracular lobe; spl: surpedal lobe). All photographed by A. Shinohara.
FIGURES 8–14. Megaxyela togashii. 8 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 8–14. Megaxyela togashii. 8, Leaflet of Juglans ailanthifolia with larva of M. togashii, Ashoro Town, June 30, 2010; 9, same larva, matured, July 2, 2010; 10, mature larva, Shintoku Town, June, 28, 2011; 11, leaflet of J. ailanthifolia with larva of M. togashii, Tatsuno City, April 30, 2016; 12, late instar larva, Kihoku Town, May 8, 2016; 13, another late instar larva, Kihoku Town, May 8, 2016; 14, dead and dried pupa with cast larval skin from Sapporo City, matured June 24, 2013, found in earthen cell in 2016. Photographed by A. Shinohara (8, 9, 11–14) and H. Hara (10).
FIGURES 1–7 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 1–7. Megaxyela togashii (1–5) and M. sp. (6, 7). 1, Leaflet of Juglans ailanthifolia with egg of M. togashii (arrowed), Tatsuno City, April 30, 2016; 2, same, close-up of egg; 3, newly hatched larva and remains of egg shell, May 1, 2016; 4, close-up of remains of egg shell, May 2, 2016; 5, early instar larva, May 2, 2016; 6, early instar larva and egg shelter with exit hole (arrowed), Mt. Odaesan, June 15, 2010; 7, egg shelter formed at apical part of leaflet, Mt. Odaesan, June 15, 2010. All photographed by A. Shinohara.
Bird species co-occurrence patterns in an Alpine environment supports the stress gradient hypothesis
<p>Understanding the relative contribution of different biotic interactions in shaping species assemblages constitutes a major goal in community ecology and consequently, multiple methods aimed at inferring the nature of these associations have emerged during the last decade. In this framework, the stress-gradient hypothesis (SGH) predicts that prevalent biotic interactions shift from competition to facilitation as abiotic stress increases (and productivity decreases). This hypothesis originally raised by plant ecologists has been barely applied to faunal communities. Here, we take advantage of 20 years of abundance data to investigate pairwise patterns in species co-occurrence in Alpine bird communities inhabiting two contrasting habitat types; forests (high-productivity) and mountain grasslands (low-productivity). We also integrate functional data with presence-absence and quantitative matrices in order to detect the signature of processes driving community assembly and test for limiting similarity. We employed a Bayesian approach, probabilistic pairwise association tests and joint Species Distribution Models; all methods revealed a higher frequency of positive interactions in mountain grasslands in agreement with what the SGH predicts. Both the frequency of positive and negative interactions remained moderately stable over the study period in both habitat types. There was no significant relationship between the degree of co-occurrence of species pairs and their functional distance in either habitat. However, when we only considered those combinations of species whose co-occurrence pattern deviated from that expected at random, we found that co-existing species are functionally more similar than those pairs that show segregated patterns in the forest assemblages. Such a relationship may arise via selective social information use and other processes including microhabitat preferences. Overall, our findings suggest that interspecific competition does not seem to be a major force driving the structure of bird assemblages in this mountain region.</p>
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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.