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312 results for “change in distribution”
Fig.1 in Distribution Of Ixodes Ricinus (Arachnida, Ixodidae) In Ukraine In The Context Of Tick Hazard, And Factors Favoring Its Persistence In Conditions Of Fast-Going Environmental Change
Fig.1. The hiatus in the range that has been noted on the territory of Ukraine: 1 — European area of distribution; 2 — Crimean area of distribution; 3 — Caucasian-Western Asian area of distribution; 4 — zone of disjunction (after fig. 1 Akimov & Nebogatkin, 1996 with changes).
Fig. 2 in Distribution Of Ixodes Ricinus (Arachnida, Ixodidae) In Ukraine In The Context Of Tick Hazard, And Factors Favoring Its Persistence In Conditions Of Fast-Going Environmental Change
Fig. 2. Distribution of I. ricinus on the territory of Ukraine, from the point of view of tick-borne danger.
Data from: Potential effects of future climate change on global reptile distributions and diversity
<p class="first-paragraph"><span><strong>Aim:</strong></span><span> Until recently, complete information on global reptile distributions has not been widely available. Here, we provide the first comprehensive climate impact assessment for reptiles on a global scale.</span></p> <p class="western"><span><strong>Location:</strong></span><span> Global, excluding Antarctica</span></p> <p class="western"><span><strong>Time period:</strong></span><span> 1995, 2050, 2080</span></p> <p class="western"><span><strong>Major taxa studied:</strong></span><span> Reptiles</span></p> <p class="western"><span><strong>Methods:</strong></span><span> We modelled the distribution of 6,296 reptile species and assessed potential global as well as realm-specific changes in species richness, the change in global species richness across climate space, and species-specific changes in range extent, overlap and position under future climate change. To assess the future climatic impact on 3,768 range-restricted species, which could not be modelled, we compared the future change in climatic conditions between both modelled and non-modelled species.</span></p> <p class="western"><span><strong>Results:</strong></span><span> Reptile richness was projected to decline significantly over time, globally but also for most zoogeographic realms, with the greatest decrease in Brazil, Australia and South Africa. Species richness was highest in warm and moist regions, with these regions being projected to shift further towards climate extremes in the future. Range extents were projected to decline considerably in the future, with a low overlap between current and future ranges. Shifts in range centroids differed among realms and taxa, with a dominating global poleward shift. Non-modelled species were significantly stronger affected by projected climatic changes than modelled species.</span></p> <p class="western"><span><strong>Main conclusions:</strong></span><span> With ongoing future climate change, reptile richness is likely to decrease significantly across most parts of the world. This effect as well as considerable impacts on species' range extent, overlap, and position were visible across lizards, snakes and turtles alike. Together with other anthropogenic impacts, such as habitat loss and harvesting of species, this is a cause for concern. Given the historical lack of global reptile distributions, this calls for a re-assessment of global reptile conservation efforts, with a specific focus on anticipated future climate change.</span></p>
Derived data supporting the analysis of surface albedo changes from Mars 2020 observations: Probabilistic distribution of the Amplitude Spectral Densities of Supercam microphone recordings and Monte-Carlo dust devil simulations.
<p>These files contain derived data used in the analysis submitted for publication in Journal of Geophysical Research: Planets, entitled "Dust Lifting Through Surface Albedo Changes at Jezero Crater, Mars" by Vicente-Retortillo et al. The article was initially submitted on November 14, 2022, and the revised version on March 1, 2023.</p> <p>Files include the derived data and information needed to generate Figures 4 (Microphone_Data.mat and Plot_ASD_from_Microphone_Data) and 6 (remaining files) of the article.</p>
Effects of climate change on the distribution of plant species and plant functional strategies on the Canary Islands
<p>Occurrence data:</p> <p>We used occurrence data from the Banco de Datos de Biodiversidad de Canarias, an open-access database, for single-island endemic (SIE; n = 325), archipelago endemic (AE; n = 234) and definitely non-endemic native (NEN; n = 149) extant seed plant species (excluding subspecies), in a raster of 500 m x 500 m grid cells covering the Canary Islands (<a href="https://www.biodiversidadcanarias.es/biota/">https://www.biodiversidadcanarias.es/biota/</a>) [<em>accessed 14/03/2022</em>]. The database includes all species listed in the checklist of the Banco de Datos de Biodiversidad de Canarias, across 31,628 grid cell assemblages. Species range in occurrence from 1 to 4,466 cells. We only retrieved occurrences for which a species has been certainly observed or collected (precision level 1 of four levels). The Banco de Datos de Biodiversidad de Canarias provides presence-only information that is spatially biased by sampling effort (Hortal et al., 2007). However, the sampling bias of SIEs, AEs, and NENs is less than for species overall because studies incorporated into the database involved focus on, and extensive sampling of, endemic and non-endemic native species (<a href="https://www.biodiversidadcanarias.es/biota/documentos">https://www.biodiversidadcanarias.es/biota/documentos</a>). We considered a species (pseudo-)absent if it was not recorded at a site, although we recognise that there is debate as to whether this truly represents absences.</p>
Data from: Species-specific responses to paleoclimatic changes and landscape barriers drive contrasting phylogeography of co-distributed lemur species in northeastern Madagascar
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Group and individual social network metrics are robust to changes in resource distribution in experimental populations of forked fungus beetles
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Racing amidst change: urbanization and climate alter functional traits and distribution of an Amazonian parthenogenetic lizard
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Supplementary data from 'Predicting the distribution of Australian frogs and their overlap with Batrachochytrium dendrobatidis under climate change'
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Data from: Potential effects of future climate change on global reptile distributions and diversity
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Data from: Integrating genomic data and simulations to evaluate alternative species distribution models and improve predictions of glacial refugia and future responses to climate change
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Modelling the carbon balance in bryophytes and lichens: Presentation of PoiCarb 1.0, a new model for explaining distribution patterns and predicting climate-change effects
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Geographic distribution change and climatic niche change of Odonates in Great Britain
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Thermal tolerance in Drosophila: repercussions for distribution, community coexistence and responses to climate change
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Spatial distribution of benthic algae in the South China Sea: responses to gradually changing environmental factors and ecological impacts on coral communities
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Analysis of vegetation distribution in interior Alaska and sensitivity to climate change using a logistic regression approach
All data are used in the following manuscript which is in prep Analysis of vegetation distribution in interior Alaska and sensitivity to climate change using a logistic regression approach Calef et al.
Data from: Historical demography and climate driven distributional changes in a widespread Neotropical freshwater species with high economic importance
The Neotropical region exhibits the greatest worldwide diversity and the diversification history of several clades is related to the puzzling geomorphologic and climatic history of this region. The freshwater Amazon ecoregion contains the main hydrographic basins of the Neotropical region that are highly dendritic and ecologically diverse. It contains a rich and endemic fish fauna, including one of its most iconic and economically important representatives, the bony-tongue Arapaima gigas (Teleostei, Osteoglossiformes). Here, we evaluated the projected distribution of the genus in different historical periods (Present, Last Glacial Maximum, Last Interglacial Maximum and Near Future) and interpreted these results in light of the genomic diversity and modeled historical demography. For that, we combined species distribution models, population genetic analysis using SNPs and deep learning model selection. We analyzed a representative sample of the genus from the two basins where it naturally occurs, four localities in the Amazon (Am) and three in the Tocantins-Araguaia (To-Ar) basin, as well as individuals from three fish farms. We inferred a potentially smaller distribution in the glacial period, with a possible refuge in central Am. Our genetic data agrees with this result, suggesting a higher level of genetic diversity in the Am basin, compared to that observed in To-Ar. Our deep learning model comparison indicated that the To-Ar basin was colonized by the population from the Am basin. Considering a global warming scenario in the near future, A. gigas could reach an even larger range, especially if anthropogenic related dispersal occurs, potentially invading new areas and impacting their communities.
DATA & CODE for "Substrate-dependent fish have shifted less in distribution under climate change"
<p>Authors: Sarah M. Roberts*<sup>1</sup>, Andre M. Boustany<sup>2</sup>, Patrick N. Halpin<sup>1</sup></p> <p><strong>Author affiliations: </strong></p> <p>*<sup>1</sup>Marine Geospatial Ecology Lab, Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC 27708, US</p> <p><sup>2 </sup>Monterey Bay Aquarium, 886 Cannery Row, Monterey, CA 93940, USA</p> <p>This dataset and code run the necessary methods for the manuscript titled: "<strong>Substrate-dependent fish have shifted less in distribution under climate change. </strong><strong>Substrate-dependent fish have shifted less in distribution under climate change" </strong>published in Nature Communications Biology. In order to run the code, you need to request data from <a href="https://oceanadapt.rutgers.edu/">https://oceanadapt.rutgers.edu/</a>. The download is free, I just don't have permission to publish their data. Software needed is Rstudio and R. This is the updated and current version. </p>
Data from: Modelling the potential impacts of climate change on the distribution of ichthyoplankton in the Yangtze Estuary, China
<p><span><a name="_Hlk10553342"><b>Aim: </b></a>Species distribution models (SDMs) are an effective tool to explore the potential distribution of terrestrial, freshwater, and marine organisms; however, SDMs have been seldom used to model ichthyoplankton distributions and thus our understanding of how larval stages of fishes will respond to climate change is still limited. Here, we developed SDMs to explore potential impacts of climate change on habitat suitability of ichthyoplankton.</span></p> <p><span><b>Location: </b>Yangtze Estuary, China</span></p> <p><span><b>Methods: </b>Using long-term ichthyoplankton survey data and a large set of marine predictor variables, we developed ensemble SDMs for five abundant ichthyoplankton species in the Yangtze Estuary (<i>Coilia mystus</i>, <i>Hypoatherina valenciennei</i>, <i>Larimichthys polyactis</i>, <i>Salanx ariakensis</i>, and <i>Chelidonichthys spinosus</i>). Then, we projected their habitat suitability under present and future climate conditions.</span></p> <p><span><b>Results: </b>The ensemble SDMs had good predictive performance and were successful in estimating the known distributions of the five species. Model projections highlighted two contrasting patterns of response to future climates: while <i>C. mystus</i> will likely expand its range, the ranges of the other four species will likely contract and shift northward.</span></p> <p><span><b>Main conclusions: </b><a name="_Hlk15635552">According to our SDM projections, the five ichthyoplankton species that we tested in the Yangtze Estuary are likely to respond differently to future climate changes. These projected different responses seemingly reflect the differential functional attributes and life history strategies of these species. </a>To the extent that climate change emerges as a critical driver of the future distribution of these species, our findings provide an important roadmap for designing future conservation strategies for ichthyoplankton in this region.</span></p>
Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.
A proactive approach to conservation must be predictive, anticipating how habitats will change and which species are likely to decline or prosper. We use composite species distribution modeling to identify suitable habitats for 18 members of the North American Atlantic Coastal Plain Flora (ACPF) since the Last Glacial Maximum and project these into the future. We then use Scirpus longii (Cyperaceae), a globally imperiled ACPF sedge with many of the characteristics of extinction vulnerability, as a case study. We integrate phylogeographic and population genetic analyses and species distribution modeling to develop a broad view of its current condition and prognosis for conservation. We use genotyping-by-sequencing to characterize the genomes of 142 S. longii individuals from twenty populations distributed throughout its range (New Jersey to Nova Scotia). We measure the distribution of genetic diversity in the species and reconstruct its phylogeographic history using SNAPP and RASE. Extant populations of S. longii originated from a single refugium south of the Laurentide ice sheet around 25 thousand years ago. The genetic diversity of S. longii is exceedingly low, populations exhibit little genetic structure, and the species is slightly inbred. Projected climate scenarios indicate that nearly half of extant populations of S. longii will be exposed to unsuitable climate by 2070. Similar changes in suitable habitat will occur for many other northern ACPF species – centers of diversity will shift northward and Nova Scotia may become the last refuges for those species not extinguished.
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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.