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158 results for “historical distribution”
Linked collectors and determiners for: New records of Microgaster deductor Nixon, 1968 (Hymenoptera: Braconidae: Microgastrinae) for the Holarctic region, with comments on its historical distribution.
Natural history specimen data linked to collectors and determiners held within, "New records of Microgaster deductor Nixon, 1968 (Hymenoptera: Braconidae: Microgastrinae) for the Holarctic region, with comments on its historical distribution". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3b6eb0c3-6695-4869-80b8-910ac0fd6537">https://bionomia.net/dataset/3b6eb0c3-6695-4869-80b8-910ac0fd6537</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3b6eb0c3-6695-4869-80b8-910ac0fd6537">https://gbif.org/dataset/3b6eb0c3-6695-4869-80b8-910ac0fd6537</a>. Formatted as a Frictionless Data package.
TreeGOER Holdridge Life Zone Distributions: Observations for 48,129 tree species across 45 historical (1901-1920) and contemporary (1979-2013) terrestrial life zones
<p><strong>TreeGOER (Tree Globally Observed Environmental Ranges)</strong> is a database that documents the environmental ranges (minimum, maximum, median, mean and 5%, 25%, 75% and 95% quantiles) for 48,129 tree species and for 51 environmental variables, including 38 bioclimatic variables, 8 soil variables and 3 topographic variables. TreeGOER is available from the following Zenodo archives: <a href="https://doi.org/10.5281/zenodo.7922927">https://doi.org/10.5281/zenodo.7922927.</a></p> <p>The TreeGOER ranges were calculated after cleaning occurrence records and standardizing species names with the <a href="https://bsapubs.onlinelibrary.wiley.com/doi/10.1002/aps3.11388">WorldFlora</a> R package to <a href="https://onlinelibrary.wiley.com/doi/10.1002/tax.12373">World Flora Online</a> or the <a href="https://www.nature.com/articles/s41597-021-00997-6">World Checklist of Vascular Plants</a> for a global GBIF occurrence download of 44,267,164 occurrences (GBIF.org 2021 <strong>GBIF Occurrence Download</strong> <a href="https://doi.org/10.15468/dl.77gcvq">https://doi.org/10.15468/dl.77gcvq</a>). The process of compilation of TreeGOER with 30 arc-seconds global grid layers, two examples of BIOCLIM applications that investigated the effects of climate change on global tree diversity patterns and R scripts to repeat these analyses have been described by Kindt, R. (2023). <strong>TreeGOER: A database with globally observed environmental ranges for 48,129 tree species</strong>. Global Change Biology 29: 6303–6318. <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914</a>.</p> <p>This Zenodo archive documents the occurrence of the same previously compiled and cleaned observations for the TreeGOER across global raster layers that document the contemporary (1979-1920) and historical (1901-1920) distribution of 45 <strong>Terrestrial Life Zones</strong>. These global raster layers were created for the following article:</p> <ul> <li>Elsen, P. R., Saxon, E. C., Simmons, B. A., Ward, M., Williams, B. A., Grantham, H. S., Kark, S., Levin, N., Perez-Hammerle, K.-V., Reside, A. E., & Watson, J. E. M. (2022). Accelerated shifts in terrestrial life zones under rapid climate change. <em>Global Change Biology</em>, 28, 918–935. <a href="https://doi.org/10.1111/gcb.15962">https://doi.org/10.1111/gcb.15962</a></li> </ul> <p>and are <a href="https://datadryad.org/stash/dataset/doi:10.5061/dryad.41ns1rnff">available for download from DRYAD</a>:</p> <ul> <li>Elsen, Paul R.; Saxon, Earl C.; Simmons, B. Alexander; Ward, Michelle; Williams, Brooke A.; Grantham, Hedley S.; Kark, Salit; Levin, Noam; Perez-Hammerle, Katharina-Victoria; Reside, April E.; Watson, James E. M.; Perez‐Hammerle, Katharina‐Victoria. 2021. Data from: Accelerated shifts in terrestrial life zones under rapid climate change.<strong> </strong>Nov 05 2021 version files. <a href="https://doi.org/10.5061/dryad.41ns1rnff">https://doi.org/10.5061/dryad.41ns1rnff</a></li> </ul> <p>The raster layers were processed using <em>R</em> and <em>Google Earth Engine</em> following the methodology described in Elsen et al (<a href="https://doi.org/10.1111/gcb.15962">2022</a>). Documentation of the different zones are partially available from this README file: <a href="https://datadryad.org/stash/downloads/file_stream/1145694">https://datadryad.org/stash/downloads/file_stream/1145694</a></p> <p>For each of the 48,129 tree species, the distribution is given for:</p> <ul> <li>Contemporary climate: number of observations in life zones mapped by <a href="https://datadryad.org/stash/downloads/file_stream/1145680">https://datadryad.org/stash/downloads/file_stream/1145680</a></li> <li>Historical climate: number of observations in life zones mapped by <a href="https://datadryad.org/stash/downloads/file_stream/1145681">https://datadryad.org/stash/downloads/file_stream/1145681</a></li> <li>Mixed climate: number of observations for contemporary life zones if GBIF observations were from 1979 or later, and number of observations for historical life zones if GBIF observations were from before 1979</li> <li>Static climate: number of observations in the same zone in the contemporary and historical climate. The number of observations in areas where the life zone changed are listed in the variable of 'H-0'.</li> </ul> <p>Observations outside the life zone maps are listed in the variable of 'H-1'.</p> <p> </p> <p>The development of this data set archive supported by the <strong>Darwin Initiative</strong> to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by <strong>Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia</strong> to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, by the <strong>Green Climate Fund</strong> through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> and through the <em>Readiness proposal on Climate Appropriate Portfolios of Tree Diversity for Burkina Faso</em> projects, by the <strong>Bezos Earth Fund</strong> to the <em>Quality Tree Seed for Africa in Kenya and Rwanda</em> project and by the <strong>German International Climate Initiative (IKI)</strong> to the regional tree seed programme on <em>The Right Tree for the Right Place for the Right Purpose in Africa</em>.</p>
Spatial variation in current and historical management of Arabica coffee across forests in its indigenous distribution
Open the record for dataset details and reuse information.
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 from: A framework for simultaneous tests of abiotic, biotic, and historical drivers of species distributions: empirical tests for North American wood warblers based on climate and pollen
Understanding how abiotic, biotic and historical factors shape species distributions remains a central question in ecology, but studies linking biotic factors to continental-scale patterns remain scarce. Here, we present a novel framework for simultaneously testing patterns expected when abiotic, biotic or historical factors drive species range limits. We use ecological niche models to produce empirical estimates of the "Biotic, Abiotic, and Movement" paradigm (BAM diagrams), which previously had only been used theoretically. Based on climatic and pollen data, as well as explicit consideration of dispersal limitations, we implement the framework for a group of North American birds (Oreothlypis warblers) with clear habitat associations. Because the pollen-based predictor variables characterize vegetation, they represent biotic factors needed by each bird species. Although continental-scale patterns of distribution traditionally are attributed to abiotic factors, only one species matched the hypothesis of solely abiotic drivers. In contrast, pollen-based models indicate biotic drivers for two species, correctly predicting their absence in climatically suitable areas. These results highlight the feasibility of considering and quantifying potential effects of biotic interactions on species ranges, especial when interactions can be decoupled from abiotic factors. Furthermore, the availability of pollen data now and in the Holocene highlights the potential of these data to be used to predict range shifts of other organisms tightly dependent on particular vegetation types.
Fig. 2 in PAST DISTRIBUTION OF TILIA-FEEDING PHYLLONORYCTER MICROMOTH (LEPIDOPTERA: GRACILLARIIDAE) IN THE RUSSIAN FAR EAST BASED ON SURVEY OF HISTORICAL HERBARIUM
Fig. 2. Herbarium specimens of Tilia amurensis with Phyllonorycter mines, originating
MAP 195 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 195. Distribution of Acontias kgalagadi in Angola.
MAP 237 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 237. Distribution of Typhlacontias rudebecki in Angola.
MAP 181 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 181. Distribution of Chamaesaura anguina oligopholis in Angola.
MAP 125 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 125. Distribution of Afrogecko ansorgii in Angola.
MAP 43 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 43. Distribution of Hyperolius gularis in Angola.
MAP 4 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 4. Distribution of Xenopus muelleri in Angola.
MAP 161 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 161. Distribution of Monopeltis perplexus in Angola.
FIGURE 15 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 15. Namibian Savanna Woodlands near Virei, Namibe Province (Photo by Luis Ceríaco).
MAP 368 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 368. Distribution of Thrasops flavigularis in Angola.
MAP 334 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 334. Distribution of Naja mossambica in Angola.
MAP 309 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 309. Distribution of Psammophis jallae in Angola.
FIGURE 5 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 5. Annual mean temperatures of Angola (after Hijmans et al. 2005).
FIGURE 2 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 2. The topography of Angola (after Sayre et al. 2013)
FIGURE 7 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
FIGURE 7. Major ecoregions of Angola (after Olson et al. 2001).
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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.