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Fig. 5. Estimated species richness E in Spatial and temporal variation of benthic fish assemblages during the extreme drought of 1997-98 (El Niño) in the middle rio Negro, Amazonia, Brazil
Fig. 5. Estimated species richness E(Sn) by strata at rio Negro (a-Sep, b-Nov 1997 and c-Feb 1998) and rio Branco (d-Sep
Fig. 3. Estimated species richness E in Spatial and temporal variation of benthic fish assemblages during the extreme drought of 1997-98 (El Niño) in the middle rio Negro, Amazonia, Brazil
Fig. 3. Estimated species richness E(Sn) by months of collection for (a) rio Negro and (b) rio Branco.
Fig. 4 in Spatial and temporal variation of benthic fish assemblages during the extreme drought of 1997-98 (El Niño) in the middle rio Negro, Amazonia, Brazil
Fig. 4. Temporal and spatial variation of CPUA in number of individuals (ind.m-2.103 - a and c) and biomass (g.m-2.103 - b and d) captured on the rio Negro (a and b) and rio Branco (c and d) for each trawl in: () Sep; () Nov (just in rio Negro) 1997 and () Feb 1998.
Data for: The interactive effects of soil fertility and tree mycorrhizal association explain spatial variation of diversity-biomass relationships in a subtropical forest
<p><span>Observed biodiversity-ecosystem function (BEF) relationships are highly variable, particularly in natural forests. However, our understanding of the factors that generate these often contradictory patterns, especially the role of different mycorrhizal associations, is still limited. By relating tree species richness and aboveground biomass (AGB) in a fully-mapped 24-ha subtropical forest dynamics plot, we evaluated the impacts of soil fertility and tree mycorrhizal type in mediating BEF relationships at multiple spatial scales. Our results demonstrate a highly positive total richness effect on AGB for arbuscular mycorrhizal (AM) trees but a negative effect on AGB for ectomycorrhizal (EcM) trees, and their relationships were highly spatial scale dependent. However, the observed BEF relationships turned into positive at small spatial scales (i.e., 10 m and 20 m) after controlling for other confounding factors (i.e., topography, soil fertility, and AM proportion). In addition, we found significant interactions between soil fertility and species richness on AGB. Specifically, the positive effect of total species richness on AGB for major mycorrhizal types gradually weakened with increasing soil fertility, while the positive effect of EcM species richness on AM AGB gradually enhanced at small spatial scales, suggesting the observed diversity effects can be largely attributed to resource niche complementarity and the role of EcM fungi.</span></p> <p><span>Synthesis. We conclude that the variable BEF relationships among forest communities could be explained by spatial variation in abiotic environments and community mycorrhizal composition because different types of symbionts perform different nutrient uptake strategies and ability in protection from antagonists. Our findings provide novel insights into the understanding of the variation in the shape of BEF relationships in natural forests, which is critical for forest management, conservation, and restoration in a changing world.</span></p>
Using DNA metabarcoding to explore spatial variation in diet across European Hawfinch populations
<p><span>The investigation of diet in avian species is essential to an understanding of their ecology and local adaptations, as well as long-term conservation. This can be particularly challenging due to the wide distribution and high ecological plasticity of many bird species. Dietary richness and variation are under-studied in woodland bird species, due primarily to challenges in accurately identifying plant and invertebrate taxa consumed. Within Europe, Hawfinch (</span><span><em>Coccothraustes</em> <em>coccothraustes</em></span><span>) have shown variation in population trends, with moderate declines across central and eastern Europe, while western European populations have shown moderate increases. Ecological drivers behind this differing trend are still unknown; one possibility is differences in diet, yet little research has been conducted into Hawfinch diet in mainland Europe or elsewhere. This study aimed to present the first molecular dietary analysis of Hawfinch populations across two European countries. Faecal samples were collected between January and July of 2019 from Hawfinch caught at six artificial feed sites: two in Denmark and four in Germany. DNA was successfully extracted from 80 samples and plant Internal Transcribed Spacer 2 (ITS2) and invertebrate Cytochrome Oxidase Subunit 1 (COI) barcodes were amplified. A total of 35 plant and 37 invertebrate taxa were found across the 80 Hawfinch faecal samples, with plant and insect orders Fagales and Lepidoptera respectively the most frequently detected. Hawfinch dietary composition differed significantly between European countries, suggesting Hawfinch can make use of available food resources which are likely to differ spatially. Our study shows how DNA metabarcoding can be used to provide novel ecological information associated with under-studied bird species, thus providing essential information for future management and conservation of Hawfinch and their habitats. <br></span></p>
Scripts of data selection and analysis: role of community size in driving spatial variation in riverine fish metacommunities around the world
<p>Here we describe how we obtained and analyzed data for the manuscript: High compositional dissimilarity among small communities is decoupled from environmental variation, accepted for publication in Oikos. (10.1111/oik.09802). A preprint is also available: https://doi.org/10.32942/osf.io/vngse</p> <p>We investigated the role of community size in mediate the strength of ecological drift and environmental selection in driving community spatial variation in metacommunities. </p>
Spatial variation in the evolutionary potential and constraints of basal metabolic rate and body mass in a wild bird
<p><span>Organismal energy budget is strongly related to resource consumption, performance, and fitness. Hence, understanding the evolution of key energetic traits, such as basal metabolic rate (BMR), in natural populations is central for understanding life-history evolution and ecological processes. Here we used quantitative genetic analyses to study evolutionary potential of BMR in two insular populations of the house sparrow <em>(Passer domesticus</em>). We obtained measurements of BMR and body mass (M<sub>b</sub>) from 911 house sparrows on the islands of Leka and Vega along the coast of Norway</span><span>.</span><span> These two populations were the source populations for translocations to create an additional third, admixed "common garden" population in 2012. With the use of a novel genetic group animal model concomitant with a genetically determined pedigree, we differentiate genetic and environmental sources of variation, thereby providing insight into the effects of spatial population structure on evolutionary potential. We found that the evolutionary potential of BMR was similar in the two source populations, whereas the Vega population had a somewhat higher evolutionary potential of M<sub>b</sub> than the Leka population. BMR was genetically correlated with M<sub>b</sub> in both populations, and the conditional evolutionary potential of BMR (independent of body mass) was 41% (Leka) and 53% (Vega) lower than unconditional estimates. Overall, our results show that there is potential for BMR to evolve independently of M<sub>b</sub>, but that selection on BMR and/or M<sub>b</sub> may have different evolutionary consequences in different populations of the same species.</span></p>
Multi‐marker DNA metabarcoding reveals spatial and sexual variation in the diet of a scarce woodland bird
<p>Avian diet can be affected by site‐specific variables, such as habitat, as well as intrinsic factors such as sex. This can lead to dietary niche separation, which reduces competition between individuals, as well as impacting how well avian species can adapt to environmental variation. Estimating dietary niche separation is challenging, due largely to difficulties in accurately identifying food taxa consumed. Consequently, there is limited knowledge of the diets of woodland bird species, many of which are undergoing serious population declines. Here, we show the effectiveness of multi‐marker fecal metabarcoding to provide in‐depth dietary analysis of a declining passerine in the UK, the Hawfinch (Coccothraustes coccothraustes). We collected fecal samples from (n = 262) UK Hawfinches prior to, and during, the breeding seasons in 2016–2019. We detected 49 and 90 plant and invertebrate taxa, respectively. We found Hawfinch diet varied spatially, as well as between sexes, indicating broad dietary plasticity and the ability of Hawfinches to utilize multiple resources within their foraging environments.</p>
Spatial and temporal variations in nutrient and Chl a concentration in a Faroese fjord
<p>The datasett is a two-year time series of seawater nitrate, silicate, phosphorous and Chl a content in in a Faroese fjord. Weekly or biweekly sampling from April to September at four depths at two stations.</p>
Spatial and temporal variations in temperature and salinity in a Faroese fjord
<p>The dataset contains a two-year time series of CTD profiles, including temperature, salinity, fluorescent, par and oxygen in a Faroese fjord. Weekly or biweekly sampling from April to September at seven stations.</p>
STGMVA: clustering, imputation, and integration for spatial resolved transcriptomics using spatiotemporal gaussian mixture variational autoencoder
<p> In this study, we present STGMVA, a comprehensive analysis toolkit employs a spatiotemporal gaussian mixture variational autoencoder to tackle these tasks effectively. STGMVA consists of two stages: pretraining the gene expression and spatial location using a gaussian mixture model, and learning the embedding vectors through a variational graph autoencoder. Results demonstrate STGMVA surpasses state-of-the-art approaches on various spatial transcriptomics datasets, exhibiting superior performance across different scales and resolutions. Notably, STGMVA achieves the highest clustering accuracy in human brain, mouse hippocampus, and mouse olfactory bulb tissues. Furthermore, STGMVA enhances and denoises gene expression patterns for gene imputation task. Additionally, STGMVA has the capability to correct batch effects and achieve joint analysis when integrating multiple tissue slices.</p>
Evaluation of different settlement substrates for field-based collection of Ostrea edulis. Spatial variation in oyster spat settlement along the Swedish west coast was also monitored.
<p>Aim: Evaluate different types of settlement substrates for field-based collection of <em>Ostrea edulis</em>. Document spatial variation in settlement of oyster spat on coupelle collectors along the Swedish west coast.</p> <p>Different types of substrates (shells of different species and materials with different structures) were placed in the sea and the survival and number of spat attached to the substrates were evaluated. Growth and species identification (<em>O. edulis</em> versus <em>M. gigas</em>) were documented. Data was collected from the Swedish west coast in 2020.</p>
Variations in the Intensity and Spatial Extent of Tropical Cyclone Precipitation
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Multi‐marker DNA metabarcoding reveals spatial and sexual variation in the diet of a scarce woodland bird
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Data from: The duration of high spring light for understory plants: contrasting responses to spatial and temporal temperature variation
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Data for: The interactive effects of soil fertility and tree mycorrhizal association explain spatial variation of diversity-biomass relationships in a subtropical forest
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Using DNA metabarcoding to explore spatial variation in diet across European Hawfinch populations
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Differential responses to weather and land-cover conditions explain spatial variation in winter abundance trends in a migratory bird of conservation concern
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Spatial variation in abundance parameters of a federally threatened groundwater salamander within and among central Texas headwater creeks
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Code and data: Spatial variation in upper limits of coral cover on the Great Barrier Reef
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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.