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81 results for “vulnerability assessment”
Data from: An ecological vulnerability index to assess impacts of offshore wind facilities on migratory song-birds
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Data from: A standardized assessment of forest mammal communities reveals consistent functional composition and vulnerability across the tropics
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The vulnerability of shellfish aquaculture to climate change and ocean acidification– a global assessment
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Data from: Using a trait-based approach for assessing the vulnerability and resilience of hillslope seep wetland vegetation cover to disturbances in the Tsitsa River catchment, Eastern Cape, South Africa
<p>Hill slope seep wetlands are ecologically and economically important ecosystems as they supply a variety of ecosystem services to society. In South Africa, livestock grazing is recognised as one of the most important disturbance factors changing the structure and function of hill slope seep wetlands. This study sought to investigate the potential effect of livestock grazing on the resilience and vulnerability of hillslope seep wetland vegetation cover using a trait based approach (TBA). Changes in vegetation cover were used as a surrogate for indicating grazing intensity. The degree of human disturbances was assessed using the Anthropogenic Activity Index (AAI). A TBA was developed using seven plant traits, resolved into 27 trait attributes. Based on the developed approach, plant species were grouped into vulnerable and resilient groups in relation to grazing pressure. It was then predicted that species belonging to the vulnerable group would be less dominant at the highly disturbed sites, as well as in the winter season when grazing pressure is at its peak. The approach developed enabled accurate predictions of the responses of hillslope plant species to grazing pressure seasonally, but spatially, only for the summer season. The predicted responses during the winter season across sites did not match the observed results, which could be attributed to the difficulty in species identification and accurate estimation of vegetation cover during winter. Overall, the approach developed here provides a general framework for applying the TBA and can thus be tested and applied elsewhere.</p>
Data from: Stepping inside the niche: microclimate data are critical for accurate assessment of species' vulnerability to climate change
To assess a species' vulnerability to climate change, we commonly use mapped environmental data that are coarsely resolved in time and space. Coarsely resolved temperature data are typically inaccurate at predicting temperatures in microhabitats used by an organism and may also exhibit spatial bias in topographically complex areas. One consequence of these inaccuracies is that coarsely resolved layers may predict thermal regimes at a site that exceed species' known thermal limits. In this study, we use statistical downscaling to account for environmental factors and develop high-resolution estimates of daily maximum temperatures for a 36 000 km2 study area over a 38-year period. We then demonstrate that this statistical downscaling provides temperature estimates that consistently place focal species within their fundamental thermal niche, whereas coarsely resolved layers do not. Our results highlight the need for incorporation of fine-scale weather data into species' vulnerability analyses and demonstrate that a statistical downscaling approach can yield biologically relevant estimates of thermal regimes.
Data from: Assessing the vulnerability of Africa's freshwater fishes to climate change: a continent-wide trait-based analysis
Climate change is a key driver of biodiversity loss across the globe, and freshwater fishes are predicted to be among the most vulnerable taxa. African freshwater ecosystems are home to one of the most unique and diverse ichthyo-faunas on the planet, and freshwater fish species provide essential livelihoods for millions of people living in riparian communities across the continent. Although nearly one sixth of African freshwater fishes have been designated as endangered or vulnerable to extinction by the IUCN Red List assessment, the effects of climate change on these species have not been explored on a continent-wide scale. In this study, we present the first trait-based climate change vulnerability assessment (CCVA) comprising the majority (85%) of Africa's currently described freshwater fishes. We assembled data relating to three dimensions of vulnerability including sensitivity, adaptive capacity, and exposure. In addition, we developed an index of 'conservation value' based on traditional conservation metrics including extinction risk, endemism, and provision of ecosystem services. We found that almost 40% of African freshwater fishes are vulnerable to climate change, mostly owing to the many species with highly specialized habitat and life-history requirements, and because of the numerous anthropogenic stressors they face. High proportions of species within the Nothobranchiidae and Cichlidae families were found to be vulnerable. Regions with high frequencies of vulnerable species included the African rift valley lakes, the Congo River drainage, and the coastal rivers of West Africa. Several important data deficiencies were identified relating to species' population sizes, genetic variability, and life history traits, and constitute priority research areas for the future. In addition, we highlighted some cases where traditional conservation approaches overlook species and regions that are predicted to be threatened by climate change.
Data from: Bird and bat species' global vulnerability to collision mortality at wind farms revealed through a trait-based assessment
Mitigation of anthropogenic climate change involves deployments of renewable energy worldwide, including wind farms, which can pose a significant collision risk to volant animals. Most studies into the collision risk between species and wind turbines, however, have taken place in industrialized countries. Potential effects for many locations and species therefore remain unclear. To redress this gap, we conducted a systematic literature review of recorded collisions between birds and bats and wind turbines within developed countries. We related collision rate to species-level traits and turbine characteristics to quantify the potential vulnerability of 9538 bird and 888 bat species globally. Avian collision rate was affected by migratory strategy, dispersal distance and habitat associations, and bat collision rates were influenced by dispersal distance. For birds and bats, larger turbine capacity (megawatts) increased collision rates; however, deploying a smaller number of large turbines with greater energy output reduced total collision risk per unit energy output, although bat mortality increased again with the largest turbines. Areas with high concentrations of vulnerable species were also identified, including migration corridors. Our results can therefore guide wind farm design and location to reduce the risk of large-scale animal mortality. This is the first quantitative global assessment of the relative collision vulnerability of species groups with wind turbines, providing valuable guidance for minimizing potentially serious negative impacts on biodiversity.
A Critical Review of the Impact of Climate Change on Food Security in Nigeria: A Vulnerability Assessment
<p>This review explores the profound ramifications of climate change on food security in Nigeria through a comprehensive vulnerability assessment. As a nation heavily reliant on agriculture, Nigeria faces escalating challenges exacerbated by shifting climatic patterns. This study employs a multi-faceted approach to analyze the intricate interplay between climate change and food security, considering both current and projected impacts. Utilizing a combination of quantitative and qualitative methods, the research evaluates the vulnerability of key agricultural regions, examining variations in temperature, precipitation, and extreme weather events. The findings underscore a heightened susceptibility of crop yields and livestock production to climatic anomalies, presenting a clear threat to the nation's food supply chain. Moreover, the study delves into the socio-economic dimensions of vulnerability, scrutinizing the adaptive capacity of local communities and the efficacy of existing policies. Identifying vulnerable populations and regions is crucial for targeted interventions and policy formulation. The study however, discusses potential adaptation strategies, emphasizing the importance of sustainable agricultural practices, climate-resilient crop varieties, and community-based initiatives.</p>
Landslide Vulnerability Assessment in Tegalrejo District, Yogyakarta
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
An integrated method for assessing vulnerability of buildings caused by debris flows
<p>Two datasets are provided for the development of a method in assessing culnerability of buildings caused by future debris flows. The first dataset includes the debris-flow events that caused damages to the buildings, and it is used to develop a physical vulnerability matrix. The second dataset is composed of debris-flow events that occurred in areas without distribution of buildings, and therefore no property loss is caused by these events. This dataset in our study is used for model training and utilize this model to estimate debris-flow density in future scenarios. </p>
African Climate Hazard Assessment; The impacts of climate change and the vulnerability of African nations
<p>The ACHA Index assesses the vulnerability to climate hazards for African nations. The uploaded datasets include the final index rankings as well as the individual aggregations of each hazard.</p>
Figure 10 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 10. Augochlora phoenicis (Vachal, 1911): (A) small female, frontal view of head; (B) mediumsized female, frontal view of head; (C) large, macrocephalic female, frontal view of head; (D) male, frontal view of head; € male, lateral view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 5 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 5. Augochlora lamellata sp. nov.: (A–C) holotype female; (D–F) paratype male, (A) Female, oblique view of head, arrow: lamellate preoccipital carina; (B) female, dorsal view of mesosoma; (C) female, dorsal view of metasoma; (D) male, lateral view of head, arrow: lamellate preoccipital carina; (E) male, dorsal view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 4 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 4. Augochlora laevinota sp. nov.: (A–C) holotype female; (D–F) paratype male. (A) Female, frontal view of head; (B) female, dorsal view of mesosoma; (C) female, dorsal view of metasoma; (D) male, frontal view of head; (E) male, dorsal view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 2 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 2. Theholotype female of Augochlora brevipilosa sp.nov., (A) frontal view of head; (B) dorsal view of mesosoma; (C) obliqueview of habitus, red arrows showing S4–5 short pubescence. Scale bar: 1.0 mm, all at same scale.
Figure 7 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 7. The holotype female of Augochlora meloi sp. nov.: (A) frontal view of head; (B) dorsal view of mesosoma; (C) dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 1 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 1. Augochlora almeidai sp. nov., (A– B) holotype female; (C–E) paratype male; (A) female, lateral view of head, red arrow showing thehypostomal lamella; (B) female, dorsal view of mesosoma and metasoma; (C) male, lateral view of head, red arrow showing the hypostomallamella; (D) male, dorsal view of mesosoma; (E) male, dorsal view ofmetasoma. Scale bar: 1.0 mm, all at same scale.
Figure 9 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 9. Augochlora obidensis sp. nov.: (A–C) holotype female; (D–F) paratype male. (A) Female, frontal view of head; (B) female, lateral view of mesosoma; (C) female, dorsal view of metasoma; (D) male, frontal view of head; (E) male, lateral view of mesosoma; (F) male, dorsal view of metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 6. Augochlora matucanensis Cockerell, 1914 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 6. Augochlora matucanensis Cockerell, 1914: (A) female, frontal view of head; (B) female, dorsal view of mesosoma and metasoma; (C) male, lateral view of head; (D) male, dorsal view of mesosoma and metasoma. Scale bar: 1.0 mm, all at same scale.
Figure 13 in A review of Augochlora (Oxystoglossella) bees from South America: unexpected Amazonian diversity and assessment of vulnerable species
Figure 13. Map of distribution records for Oxystoglossella of the A. aurinasis and A. modica species groups: (A) A. almeidai, A. aurinasis and A. meloi sp. nov.; (B) A. eucnemis, A. lamellata sp. nov., A. mineira sp. nov. and A. rightmyerae; (C) A. mendax and A. modica; (D) A. simplex sp. nov. and A. tenax.
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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.