Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
186
datasets available to search
ShareScore release 0.9.0
Dataset results
186 results for “bird conservation”
Fig. 2 in Bird Diversity Differs Between Industrial Tree Plantations On Borneo: Implications For Conservation Planning
Fig. 2. Species accumulation curves for (A) Sabah Softwoods and (B) Sarawak Planted Forest Project.
Figure 1 in Bird checklist and contributions to conservation of the Atlantic forest-cerrado ecotone in Três Lagoas municipality, Brazil
Figure 1. Três Lagoas Municipality map, Atlantic forest-cerrado ecotone and survey and localities (1-31).
Data from: Deciduous forests hold conservation value for birds within South Andaman Island, India
<p>We assessed the importance of deciduous and evergreen habitats for forest birds (including several endemic and threatened species) within South Andaman Island, India. To this end, we compared the composition and diversity (taxonomic, functional and phylogenetic) of forest birds across the two habitat types, and evaluted species-specific responses to habitat variables within the island.</p> <p>The dataset collected and R codes used in this study are published here. Bird species traits were sourced from Tobias et al. (2022) and Wilman et al. (2014). Phylogenetic trees were sourced from <a href="https://birdtree.org/">birdtree.org</a> (Jetz et al. 2012).</p> <p><br><strong>Taxonomic Coverage: </strong>Birds, 54 species</p> <p><strong>Geographic Coverage:</strong> South Andaman Island, Andaman and Nicobar Islands, India</p> <p><strong>Temporal Coverage:</strong> March-May 2022 and December 2022-April 2023</p> <p> </p> <p><strong>Brief summary of field methods: </strong><br>We conducted line-transect surveys for forest birds across evergreen and deciduous forests in South Andaman Island, India. <br>Twenty-seven transects were sampled either in the morning (between 0515 – 0930 hrs) or in the afternoon (between 1515 – 1730 hrs) from March-May 2022 and December 2022-April 2023. For every bird detected, we noted species identity, group size (if visible), time of detection, and whether the bird(s) was seen or heard. Detections of flying birds and nocturnal species (owls and nightjars) were excluded.<br>For each transect, we measured - <br>a. tree density and basal area (using the point-centered quarter method, or PCQ); <br>b. canopy cover, proportion of deciduous trees, and presence of cane, bamboo runners and clumps of standing bamboo (averaged across PCQ points);<br>c. number of large trees and cut logs (counted within a 20m-wide belt along each transect); and <br>d. distance from nearest settlement/village (using Google Earth Pro).</p> <p>The dataset published here contains eight data files and two R code files, along with a <strong>ReadMe.txt</strong> file that explains each of these files.</p> <p> </p> <p><strong>Funding:</strong></p> <p>Science and Engineering Research Board (Govt. of India) - SRG/2021/001523</p> <p>The Rufford Foundation</p> <p>The Rauf Ali Fellowship</p> <p>Arvind Datar</p> <p>Rohini Nilekani Philanthropies</p> <p> </p> <p><strong>References:</strong></p> <p>Jetz, W., G. H. Thomas, J. B. Joy, K. Hartmann, and A. O. Mooers. 2012. The global diversity of birds in space and time. Nature 491:444–448.<br>Tobias, J. A., C. Sheard, A. L. Pigot, A. J. M. Devenish, J. Yang, et al. 2022. AVONET: morphological, ecological and geographical data for all birds. Ecology Letters 25:581–597.<br>Wilman, H., J. Belmaker, J. Simpson, C. de la Rosa, M. M. Rivadeneira, and W. Jetz. 2014. EltonTraits 1.0: Species-level foraging attributes of the world’s birds and mammals. Ecology 95:2027–2027.</p>
Data from: Sequential use of niche and occupancy models identifies conservation and research priority areas for two data-poor endemic birds from the Colombian Andes
<p>The lack of high-quality information on data-poor species can hinder efforts to inform conservation actions via spatial distribution modeling. This is particularly true for tropical birds of conservation concern, for which ecological studies and assessments of their conservation status have received limited funding. Here we use a cost- and time-efficient protocol for assessing the distribution of range-restricted taxa and to identify priority areas for their conservation based on a sequential application of Environmental Niche Models (ENMs) and Occupancy-Detection Models. This approach first uses available geographical information and niche-theory to prioritize potential study sites, which can later be surveyed to obtain high-quality presence-absence data to accurately model distributional ranges with limited resources. We apply this protocol to identify priority areas for two Neotropical birds of conservation concern endemic to the Colombian Andes: Yellow-headed Brush-finch (<i>Atlapetes flaviceps</i>) and Tolima Dove (<i>Leptotila conoveri</i>). We first fitted ENMs using spatially-filtered datasets containing all available records up to 2018. We then conducted field surveys across climatically suitable areas identified for both species, carrying out a total of 1750 counts to generate input data for the occupancy models. Overall, our results suggested more extended and more continuous distribution ranges for both species than previously reported, but also identified population strongholds that are not currently represented within the national protected areas system. Both species occupied a narrow elevational belt (~1300–2600) of the Central Andes of Colombia primarily on the slopes of the Magdalena River valley, with isolated populations in the Western and Eastern Andes; these areas have undergone some of the most marked landscape transformations in Colombia. This straightforward protocol maximizes available information and minimizes costs, while allowing for estimation of occurrence probabilities for range-restricted, data-poor taxa.</p>
Data from: Choice of prioritization method impacts recommendations for climate-informed bird conservation in the United States
<p class="MsoNormal">Climate-informed spatial planning is urgently needed to guide initiatives aimed at both conserving biodiversity as a whole (e.g., protection of 30% of lands and waters by 2030) and recovering North American avifauna in particular. Various methods for prioritizing conservation areas exist, yet alternative methods may direct managers to different lands for protection and thus varying recommendations for meeting area-based targets. Here, we used bird species distribution models and landcover projections to systematically evaluate two widely-used methods for prioritizing areas most likely to facilitate the persistence of multiple species under climate change: (1) <em>in situ </em>macrorefugia, identified as areas of high predicted species retention; and (2) complementarity-based optimizations, identified using the Zonation conservation planning software. For 17 biogeographical groups in the continental United States, we compared priority areas for bird conservation derived from these two alternatives with respect to their spatial distributions and consensus (i.e., overlap), expected conservation outcomes (e.g., species and functional diversity), predicted climate change exposure, habitat characteristics, landscape configurations, and degree of formal protection. Spatial distributions of priority areas differed by biogeographical group and method, with 40.5% consensus on average across groups. Consensus was extensive within mountainous and coastal regions and limited at high latitudes (e.g., Alaska) and in flat, interior regions (e.g., grasslands). As expected, complementarity-based optimizations more efficiently represented species than retention-based <em>in situ </em>macrorefugia, especially for forest groups, and had greater overall biodiversity value and better habitat condition. Conversely, <em>in situ </em>macrorefugia encompassed higher elevations and larger contiguous patches and were expected to experience less winter-season warming. Formal protection averaged <50% across biogeographical groups, regardless of prioritization method. Our findings illustrate the value of complementarity-based optimizations for bird conservation under climate change. More broadly, comparing approaches for prioritizing areas for long-term species persistence can reveal critical tradeoffs in recommendations for climate-informed protected area planning.</p>
Figure 1 in Checklist of the birds of Mato Grosso do Sul state, Brazil: diversity and conservation
Figure 1. Localities with ornithological inventories in Mato Grosso do Sul state.The black circle corresponds to different sample sites, whose geographic coordinates can be found in Table S1. Image: Ivana Cardoso.
Figure 1 in Birds of the Pantanal floodplains, Brazil: historical data, diversity, and conservation
Figure 1. Localities with ornithological inventories in Pantanal wetland.The circles correspond to different sample sites, whose geographic coordinates can be found in Table S1. The dark gray spots correspond to burned areas in 2020 fire gray spots correspond to burned areas in 2020 fire according to ALARMES-HISTÓRICO (LASA/ UFRJ, 2021; Pinto et al., 2020).
Supplementary material 1 from: Virkkala R, Rajasärkkä A (2012) Preserving species populations in the boreal zone in a changing climate: contrasting trends of bird species groups in a protected area network. Nature Conservation 3: 1-20. https://doi.org/10.3897/natureconservation.3.3635
Mean densities and number of observations of species in 1981–1999 and in 2000–2009
Landscape-scale conservation mitigates the biodiversity loss of grassland birds
<p>The decline of biodiversity from anthropogenic landscape modification is among the most pressing conservation problems world-wide. In North America, long-term population declines have elevated the recovery of the grassland avifauna to among the highest conservation priorities. Because the vast majority of grasslands of the Great Plains are privately owned, the recovery of these ecosystems and bird populations within them depend on landscape-scale conservation strategies that integrate social, economic, and biodiversity objectives. The Conservation Reserve Program (CRP) is a voluntary program for private agricultural producers administered by the United States Department of Agriculture that provides financial incentives to take cropland out of production and restore perennial grassland. We investigated spatial patterns of grassland availability and restoration to inform landscape-scale conservation for a comprehensive community of grassland birds in the Great Plains. The research objectives were to 1) determine how apparent habitat loss has affected spatial patterns of grassland bird biodiversity, 2) evaluate the effectiveness of CRP for offsetting the biodiversity declines of grassland birds and 3) develop spatially explicit predictions to estimate the biodiversity benefit of adding CRP to landscapes impacted by habitat loss. We used the Integrated Monitoring in Bird Conservation Regions program to evaluate hypotheses for the effects of habitat loss and restoration on both the occupancy and species richness of grassland specialists within a continuum modelling framework. We found the odds of community occupancy declined by 37% for every 1 Standard Deviation (SD) decrease in grassland availability [log<i><sub>e</sub></i>(km<sup>2</sup>)] and increased by 20% for every 1 SD increase in CRP land cover [log<i><sub>e</sub></i>(km<sup>2</sup>)]. There was 17% turnover in species composition between intact grasslands and CRP landscapes, suggesting grasslands restored by CRP retained considerable, but incomplete representation of biodiversity in agricultural landscapes. Spatially explicit predictions indicated absolute conservation outcomes were greatest at high latitudes in regions with high biodiversity, whereas the relative outcomes were greater at low latitudes in highly modified landscapes. By evaluating community-wide responses to landscape modification and CRP restoration at bioregional scales, our study fills key information gaps for developing collaborative strategies, and balancing conservation of avian biodiversity and social well-being in agricultural production landscapes of the Great Plains.</p>
Conservation of birds in fragmented landscapes requires protected areas
<p class="MsoNoSpacing">For successful conservation of biodiversity, it is vital to know whether protected areas in increasingly fragmented landscapes effectively conserve species. However, how large habitat fragments must be and what level of protection is required to sustain species, remains poorly known. We compiled a global dataset on almost 2000 bird species in 741 forest fragments varying in size and protection status, and show that protection is associated with higher bird occurrence, especially for threatened species. Protection becomes increasingly important with increasing size of forest fragments. For forest fragments >50 ha our results show that strict protection (IUCN cat. I-IV) is strongly associated with higher bird occurrences, whereas fragments should be at least 175 ha to observe a positive effect of moderate protection (cat. V-VI). This meta-analysis quantifies the importance of fragment size, protection status, and their interaction for the conservation of bird species communities, and stresses that protection should not be limited to large pristine areas.</p>
Figure 1 in Bird diversity and conservation in the southern coast of Santa Catarina state, Brazil
Figure 1. Localities surveyed in the southern coast of Santa Catarina state, Brazil. (1) Lagoa da Urussanga Velha; (2) Praia do Rincão; (3) Lagoa do Rincão/Jacaré; (4) Foz do Rio Araranguá; (5) Praia dos Golfinhos; (6) Lagoa do Caverá; (7) Furnas; (8) Rio Novo; (9) Anita Garibaldi; (10) Morro dos Macacos.
Figure 4 in Bird diversity and conservation in the southern coast of Santa Catarina state, Brazil
Figure 4. Birds considered novel distributional records for the southern coast of Santa Catarina state, Brazil. (A) Bubo virginianus, Sombrio; (B) Limnornis curvirostris, Balneário Gaivota; (C) Schoeniophylax phyrganophilus, Balneário Gaivota; (D) Pseudocolopteryx flaviventris, Balneário Gaivota.
Figure 2 in Bird diversity and conservation in the southern coast of Santa Catarina state, Brazil
Figure 2. Habitats surveyed in the southern coast of Santa Catarina state, Brazil. (A) A general view of Morro dos Conventos beach, Araranguá; (B) Dunes and shrubby restingas near the mouth of Araranguá river, Araranguá; (C) Lagoon in the locality of Ilhas, near the mouth of Araranguá river, Araranguá; (D) A general view of the northeastern portion of Lagoa da Urussanga Velha, Balneário Rincão; (E) Understory of a lowland forest in Morro dos Macacos ecological park, Passo de Torres; (F) Wetlands of Typha domingensis in the border of Lagoa do Sombrio, Passo de Torres; (G) Mouth of Urussanga river, Balneário Rincão; (H) Wetlands with Scirpus giganteus in Lagoa do Rincão, Balneário Rincão.
Field margins as substitute habitat for the conservation of birds in agricultural wetlands; Supplementary information
<p>Supplementary material, dataset and script links to the research paper submit for recommendation by PCI Ecology.</p>
Data from: Choice of prioritization method impacts recommendations for climate-informed bird conservation in the United States
Open the record for dataset details and reuse information.
Data from: Bird diversity and endemism along a land-use gradient in Madagascar: the conservation value of vanilla agroforests
Open the record for dataset details and reuse information.
Landscape-scale conservation mitigates the biodiversity loss of grassland birds
Open the record for dataset details and reuse information.
Benefits of modelling abundance for rare species conservation: a case study with multiple birds across one million hectares
Open the record for dataset details and reuse information.
Mapping multiscale breeding bird species distributions across the United States and evaluating their conservation applications
Open the record for dataset details and reuse information.
Code from: Metrics for conservation success: using the bird‐friendliness index to evaluate grassland and aridland bird community resilience across the Northern Great Plains ecosystem
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.