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225 results for “Environmental variability”
Data from: Environmental variables influence patterns of mammal co-occurrence following introduced predator control
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Data from: Environmental and local habitat variables as predictors of trophic interactions in subtidal rocky reefs along the SE Pacific coast
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Periglacial ground movement and environmental variables in the Gaissane mountain massif, Northern Norway
<p>Dataset documenting ground movement and environmental conditions at 68'590 common pixels (40 m resolution).<br> Study area: ca. 148 sqkm area in the Gaissane mountain massif, County of Troms og Finnmark, Northern Norway (70°00'N, 26°14'E).<br> <br> Ground movement associated with cryoturbation and solifluction has been detected using a distributed scatterers Synthetic Aperture Radar Interferometry (InSAR) technique based on Sentinel-1 satellite images (2015-2018).<br> Two-dimensional information (vertical and horizontal in the East-West plane) has been retrieved by combining InSAR results from ascending and descending SAR geometries.<br> The results are expressed as mean annual ground velocities (mm/yr).<br> Seven environmental variables are documenting the climatic, geomorphic, hydrological and ecological conditions at similar locations.<br> The dataset was used to perform statistical modelling using generalized linear model, generalized additive model, generalized boosting method and random forest.</p>
Temporal instability of lake charr phenotypes: Synchronicity of growth rates and morphology linked to environmental variables?
<p>Pathways through which phenotypic variation among individuals arise can be complex. One assumption often made in relation to intraspecific diversity is that the stability or predictability of the environment will interact with expression of the underlying phenotypic variation. <span>To address</span> biological complexity below the species level<span>, we investigated variability across years in morphology and annual growth increments between and within two sympatric lake charr <i>Salvelinus namaycush</i> ecotypes in Rush Lake, USA. </span>A rapid phenotypic shift in body and head shape was found within a decade. The magnitude and direction of the observed phenotypic change was consistent in both ecotypes, which suggests similar pathways caused the variation over time. Over the same time period, annual growth increments declined for both lake charr ecotypes and corresponded with a consistent phenotypic shift of each ecotype. Despite ecotype-specific annual growth changes in response to winter conditions, the observed annual growth shift for both ecotypes was linked, to some degree, with variation in the environment. Particularly, a declining trend in regional cloud cover was associated with an increase of early stage (ages 1-3) annual growth for lake charr of Rush Lake. Underlying mechanisms causing changes in growth rates and constrained morphological modulation are not fully understood. An improved knowledge of the biology hidden within the expression of phenotypic variation promises to clarify our understanding of temporal morphological diversity and instability.</p>
Functional traits and related environmental variables of 28 populations of Nuphar lutea
<p>This dataset includes 31 leaf functional traits, 2 genetic diversity metrics and 4 leaf reflectance measures on 28 wild populations of yellow water lily (<em>Nuphar lutea</em>). For each population (plot) coordinates, water depth, specific conductivity, nitrate, sediment organic matter and sediment total phosphorus contents are provided as well. The populations were located in 4 different lake systems in central and northern Italy. All the information on the methodology used to collect the data and can be found in the related paper.</p>
A matter of scale: Identifying the best spatial and temporal scale of environmental variables to model the distribution of a small cetacean
<p>The importance of scale when investigating ecological patterns and processes is recognised across many species. In marine ecosystems, the processes that drive species distribution have a hierarchical structure over multiple nested spatial and temporal scales. Hence, multi-scale approaches should be considered when developing accurate distribution models to identify key habitats, particularly for populations of conservation concern. Here, we propose a modelling procedure to identify the best spatial and temporal scale for each modelled and remotely sensed oceanographic variable to model harbour porpoise (<em>Phocoena phocoena</em>) distribution. Harbour porpoise sightings were recorded during dedicated line-transect aerial surveys conducted in the summer of 2016, 2021 and 2022 in the Northeast Atlantic. Binary generalised additive models were used to assess the relationships between porpoise presence and oceanographic variables at different spatial (5, 20 and 40 km) and temporal (daily, monthly and across survey period) scales. Selected variables included sea surface temperature, thermal fronts, chlorophyll-a, sea surface height, mixed layer depth and salinity. A total of 30,514 km was covered on-effort with 216 harbour porpoise sightings recorded. Overall, the best spatial scale corresponded to the coarsest resolution considered in this study (40 km), while porpoise presence showed stronger association with oceanographic variables summarised at a longer temporal scale (monthly and averaged over survey period). Habitat models including covariates at coarse spatial and temporal scales may better reflect the processes driving availability and abundance of prey resources at the large scales covered during the surveys. These findings support the hypothesis that a multi-scale approach should be applied when investigating species distribution. Identifying suitable spatial and temporal scale would improve the functional interpretation of the underlying relationships, particularly when studying how a small marine predator interacts with its environment and responds to climate and ecosystem changes. </p>
Evolutionary history and environmental variability structure contemporary tropical vertebrate communities
<p>Tropical regions harbor over half of the world's mammals and birds, but how their communities have assembled over evolutionary timescales remains unclear. To compare eco-evolutionary assembly processes between tropical mammals and birds, we tested how hypotheses concerning niche conservatism, environmental stability, environmental heterogeneity, and time-for-speciation relate to tropical vertebrate community phylogenetic and functional structure. We used in-situ observations of species identified from systematic camera trap sampling as realized communities from 15 protected tropical rainforests in four tropical regions worldwide. We quantified standardized phylogenetic and functional structure for each community and estimated the multi-trait phylogenetic signal (PS) in ecological strategies for the four regional species pools of mammals and birds. Using linear regression models, we test three non-mutually exclusive hypotheses by comparing the relative importance of colonization time, paleo-environmental changes in temperature and land cover since 3.3 Mya, contemporary seasonality in temperature and productivity, and environmental heterogeneity for predicting community phylogenetic and functional structure. The phylogenetic and functional structure showed non-significant yet varying tendencies toward clustering or dispersion in all communities. Mammals had stronger multi-trait PS in ecological strategies than birds (mean PS: mammal = 0.62, bird = 0.43). Distinct dominant processes were identified for mammal and bird communities. For mammals, colonization time and elevation range significantly predicted phylogenetic clustering and functional dispersion tendencies, respectively. For birds, elevation range and contemporary temperature seasonality significantly predicted phylogenetic and functional clustering tendencies, respectively, while habitat diversity significantly predicted functional dispersion tendencies. Our results reveal different eco-evolutionary assembly processes structuring contemporary tropical mammal and bird communities over evolutionary timescales that have shaped tropical diversity. Our study identified marked differences among taxonomic groups in the relative importance of historical colonization and sensitivity to environmental change. </p>
Data on soil variables (with plot IDs) and grassland species traits used for the analysis of grassland vegetation data by Pillar, V.D. (2024) Trait divergence in plant community assembly is generated by environmental factor interactions. Journal of Vegetation Science, 35, e13259. Available from: https://doi.org/10.1111/jvs.13259
<p>File <a href="../api/records/10983049/draft/files/Plot_IDs_990ua.txt/content" target="_blank" rel="noopener noreferrer">Plot_IDs_990ua.txt</a> contains the IDs of the 1-m2 plots used for the analysis of grassland vegetation data by Pillar, V.D. (2024) Trait divergence in plant community assembly is generated by environmental factor interactions. The plot data are stored in the sPlot database (PPBio South Brazilian Grassland Database).</p> <p>File <a href="../api/records/10983049/draft/files/E_990ua_21SoilVar.txt/content" target="_blank" rel="noopener noreferrer">E_990ua_21SoilVar.txt</a> contains data on soil variables evaluated in the 250 m transects, but here expanded to the 990 1-m2 plots (each transect was sampled using 10 1-m2 pots).</p> <p>File <a href="../api/records/10983049/draft/files/B_769spp_4t.txt/content" target="_blank" rel="noopener noreferrer">B_769spp_4t.txt</a> is the species trait database collected in the framework of several research projects in the Quantitative Ecology Lab (EcoQua) and Grassland Vegetation Studies Lab (LevCamp) of Universidade Federal do Rio Grande do Sul (UFRGS). Data gaps were filled by compiled from the TRY database and data imputation.</p> <p> </p> <p> </p>
Temporal and spatial variation of zooplankton in relation to environmental variables in the upper Santos estuary, São Paulo, Brazil
<p><span>Zooplankton samples were collected through oblique trawls with a 200 µm net with a flow meter during low tide, at 4 sampling sites with different degrees of salinity in the upper Santos estuary, in 28 campaigns carried out between 2014 and 2023, to analyze the spatial and temporal variations in the structure and abundance of zooplankton in relation to environmental variables using data from a long-term monitoring, in this way, contributing to the update of knowledge about the zooplankton community of the Santos estuary. </span></p>
Massaciuccoli Lake basin in Tuscany, Italy. Datasets of 75 environmental, geomorphologic, and socio-economic variables associated from remote past to remote future
<p>Collection of 148 datasets representing 75 environmental, geomorphologic, and socio-economic variables associated with the Massaciuccoli Lake basin in Tuscany, Italy. <br>The data cover five temporal snapshots: remote past (1950-1980), recent past (1981-2015), present (2016.2024), near future (2050 under RCP4.5 and 8.5), and remote future (2100 under RCP4.5 and 8.5)<br>Raster data have been harmonised and resampled at 0.0005° (~50 m) resolution.<br>Vector data have been aligned and cut over the basin boundaries.<br>A QGIS project using the WGS84 EPSG:4326 projection is included in the ZIP file. </p> <p>A metadata file (in MS Excel format) reports data content descriptions, the primary sources, their FAIRness levels, and the direct links to the primary sources when available. <br>The dataset numbers are aligned to the table Id-column entries.</p>
Pearson correlation tests for environmental variables, Student t-test for range shift and comparisons for habitat loss in 2070
<p><span>Habitat loss and shifts associated with climate change threaten global biodiversity, with impacts likely to be most pronounced at high latitudes. With the disappearance of the tundra breeding habitats, migratory shorebirds that breed at these high latitudes are likely to be even more vulnerable to climate change than those in temperate regions. We examined this idea using new distributional information on two subspecies of Black-tailed Godwits <em>Limosa limosa</em> in Asia: the northerly, bog-breeding <em>L. l. bohaii</em> and the more southerly, steppe-breeding <em>L. l. melanuroides</em>. Based on breeding locations of tagged and molecularly assayed birds, we modelled the current breeding distributions of the two subspecies with species distribution models, tested those models for robustness, and then used them to predict climatically suitable breeding ranges in 2070 according to bioclimatic variables and different climate change scenarios. Our models were robust and showed that climate change is expected to push bohaii into the northern rim of the Eurasian continent. <em>Melanuroides</em> is also expected to shift northward, stopping in the Yablonovyy and </span><span>Stanovoy Ranges</span><span>, and breeding elevation is expected to increase.</span> <span>Climatically suitable breeding habitat ranges would shrink to 16% and 11% of the currently estimated ranges of <em>bohaii</em> and <em>melanuroides</em>, respectively. Overall, this study provides the first predictions for the future distributions of two little-known Black-tailed Godwit subspecies and highlights the importance of factoring in shifts in bird distribution when designing climate-proof conservation strategies.</span></p>
Moyarwood bog: Environmental variables 01042013_31032018
<p>Hourly datasets of the environmental variables recorded at Moyarwood bog, Co. Galway, Ireland between April 1 2013 and March 31 2018. Variables include soil temperature at 5cm and 10cm depths; photosynthetic photon flux density (PPFD) and water table depth.</p>
Data from: Experimental assessment of downstream environmental DNA patterns under variable fish biomass and river discharge rates
<p><span>The development of environmental DNA (eDNA) methods towards implementation as a cost-effective, nonlethal tool for fish biomonitoring in lotic environments requires insights on the temporal and spatial distribution of eDNA in river systems. Yet, little is known on how downstream eDNA dispersal is affected by the combination of river discharge and source biomass effects. In this study, we aimed at unravelling the effect of source- and system-specific processes on the stream reach of eDNA. We used a longitudinal cage study in two river sections characterized by a significantly different discharge rate, where two invasive and two native fish species were introduced under two contrasting biomass treatments. Using droplet digital PCR (ddPCR) analyses, we found that eDNA concentrations become strongly reduced 2 km downstream from the source, an effect that is strengthened with increasing river discharge and coinciding dilution effects. Higher discharge rates resulted in equal or even higher detection probabilities at increasing distance from the source. The introduction of high fish stock biomass resulted in an increase of eDNA concentrations, as well as detection probabilities and in parallel reduced the stochasticity of the measurements. A peak in eDNA concentrations at a downstream distance ranging between 300 m and 2 km confirms the complexity of plume-shaped downstream eDNA patterns. Our results showed interspecific variation in eDNA emission and suggest species-specific differences in eDNA persistence. This study underlines the impact of both river discharge rate and source biomass on downstream eDNA detection and dispersal patterns. </span></p>
New proposal of epiphytic Bromeliaceae functional groups to include nebulophytes and shallow tanks: functional traits and environmental variables data bases
<p>Data set contains two data files (two .xlsx files). The first data file contains records of functional traits from 204 Bromeliacea species, this records are separeted in two sheets, one with new data compiled from publications, original data and data messuered from herbarium specimens; the second sheed compiled data published by Heits et al., 2021, that was combined with sheet 1 data to carry out statistical analysis; this base also contains other sheets with refrences, contributors and sites of collection.The second data file contains environmental data obtand from bioclim, Terraclimate, Zomer et al. (2022) and FAO, such as vapor presure deficit, precipitation, aridity index, soil capacity to retein moisture, evapotranspiration, temperature and ecological zones from species records from GBif and herbarium georeferenced records. Records include references and contributors.</p>
Plant community formation and species distribution pattern in relation to environmental variables in Endiras Natural Forest, northwest Ethiopia
<p><span>The study was conducted in Endiras Forest, Northwest Ethiopia, so as to evaluate the effects of environmental variables on the patterns of plant community formation. A systematic random sampling technique was used to collect vegetation data from 56 (20 m x 20 m) plots laid at 100 m intervals on ten transects. In each plot, the species encountered and its percent cover abundance were recorded, which was later transformed into a modified Braun-Blanquet scale. The composite soil samples collected from 15 cm x 15 cm subplots were examined for 13 soil parameters. Communities were determined using cluster analysis. The Shannon-Wiener index was employed to quantify species diversity. The relationships between species and environmental variables were evaluated using Canonical Correspondence Analysis (CCA). Seventy three woody plant species, distributed in 38 families, were documented. Fabaceae was found to be the most species-rich family (21.9%). Five communities were generated from the cluster analyses that vary in diversity. Nine environmental variables were found to be significant in determining patterns of community formation (Pr< 0.05). Organic matter, pH, and altitude, highly correlated with CCA axis 1, are largely shaped the species distribution patterns. Various patterns of community formation demonstrate the need to design different conservation measures.</span></p>
Plant community formation and species distribution pattern in relation to environmental variables in Endiras Natural Forest, northwest Ethiopia
<p><span>The study was conducted in Endiras Forest, Northwest Ethiopia, so as to evaluate the effects of environmental variables on the patterns of plant community formation. A systematic random sampling technique was used to collect vegetation data from 56 (20 m x 20 m) plots laid at 100 m intervals on ten transects. In each plot, the species encountered and its percent cover abundance were recorded. The composite soil samples collected from 15 cm x 15 cm subplots were examined for 13 soil parameters. Communities were determined using cluster analysis. The Shannon-Wiener index was employed to quantify species diversity. The relationships between species and environmental variables were evaluated using CCA. Seventy three woody plant species, distributed in 38 families, were documented. Fabaceae was found to be the most species-rich family (21.9%). Five communities were generated from the cluster analysis. Nine environmental variables were found to be significant in determining patterns of community formation (Pr< 0.05). Organic matter, pH, and altitude are largely shaped the species distribution patterns. Various patterns of community formation demonstrate the need to design different conservation measures.</span></p>
Figure 2 in Fish Diversity and Distribution in the Aksu River Estuary (Antalya- Turkey), in Relation to Environmental Variables
Figure 2. Temporal and spatial variations of biomass, Shannon and Evenness index.
Figure 3 in Fish Diversity and Distribution in the Aksu River Estuary (Antalya- Turkey), in Relation to Environmental Variables
Figure 3. Plot of site and species scores with 3 environmental variables in the first two CCA axes.
Fig. 1 in Effects Of The Environmental Variables On The Alien Amphipod Pontogammarus Robustoides In The Daugava River And Its Reservoirs
Fig. 1. The study area and sampling sites in the Daugava River and its reservoirs in Latvia, 2016.
Fig. 4 in Effects Of The Environmental Variables On The Alien Amphipod Pontogammarus Robustoides In The Daugava River And Its Reservoirs
Fig. 4. Seasonal changes of individuals groups by body length in the Pļaviņas Reservoir.
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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.