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162 results for “Climatic influence”

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Figure 6 in Influence of Climatic Factors on the Interannual Changes of Gonadosomatic Index of the Red Mullet Mullus barbatus ponticus in the Coastal Crimean Waters

Figure 6. The average weight – length relationship for the red mullet that lived in the coastal waters of Crimea in the spring and summer of 2016–2019.

opencc-by-4.0Apr 2020View details →
zenodo40/100

Figure 2 in Influence of Climatic Factors on the Interannual Changes of Gonadosomatic Index of the Red Mullet Mullus barbatus ponticus in the Coastal Crimean Waters

Figure 2. The average annual GSI values (1) of females and males of red mullet, the average monthly temperature of water (2) during the spawning period, and their standard deviations.

opencc-by-4.0Apr 2020View details →
dryad40/100

Data for: Hardwoods influence effect of climate and intraspecific competition on growth of woodland longleaf pine trees

<p>Longleaf pine woodlands of the North American Coastal Plain are proposed to be resilient to climate change impacts, but little is known about changes in limiting factors to longleaf pine growth as climate has changed in the late 20<sup>th</sup> and early 21<sup>st</sup> centuries. Moreover, the role that neighborhood trees play in the context of climate change remains largely unexplored. We used static and moving-window tree-ring and climatic analyses to measure the effects of climate on longleaf pine growth at a site in southwest Georgia, USA. We then performed maximum likelihood analysis to examine the influence of neighboring hardwoods on the response of longleaf pine growth to the joint effects of competition and climate. Analysis of climate data from local stations in southwest Georgia over six decades indicated that mean air temperature decreased until the late 20<sup>th </sup>century and then began to rise, and that the variability of spring and summer precipitation has increased. Tree ring and climate analyses indicated longleaf pine radial growth is sensitive to precipitation and air temperature, and that the strength of correlation of longleaf pine growth to summer air temperature and summer precipitation increased since the 1950s. Likelihood models, which were applied over a shorter (23-year) period and explicitly incorporated competition, did not support a link between summer temperature and growth but did indicate summer precipitation increased growth. Furthermore, basal area of neighboring hardwoods was correlated with greater pine growth per millimeter of precipitation. Basal area of neighboring longleaf pine negatively affected the growth of conspecific trees; the presence of hardwoods increased the competitive effect when basal area of neighboring pine trees was low (&lt;10 m<sup>2</sup> ha<sup>-1</sup>) but decreased the competitive effect when basal area of neighboring pine trees was high (≥ 10 m<sup>2</sup> ha<sup>-1</sup>). These results suggest that retention or recruitment of hardwood trees when restoring longleaf pine woodlands may contribute to increased ability to withstand dry summers and may help to allay concerns of managers that retention of hardwoods will unduly affect the growth of residual mature longleaf pines.</p>

opencc-zeroFeb 2023View details →
dryad40/100

Climate and non-native herbivores influence reproductive investment by Greater Sage-grouse

<p>Highly seasonal environments can increase competition among herbivores for nutrients, leading to consequences affecting rates of reproduction and survival. There is concern about the impacts of non-native ungulates on Greater Sage-grouse in the Great Basin of North America. We estimated nesting propensity, the annual proportion of females attempting a nest, for Greater Sage-grouse in relation to the abundance of ungulates using 7 years of data from the northwestern Great Basin, USA. We focused on nesting because it is the necessary first major investment required for the production of new recruits. We used a Bayesian multi-stratum model to investigate the effects of weather and sympatric non-native herbivores, free-roaming horses and domestic cattle, on reproductive rates and female survival of adult and yearling sage-grouse. Adults nested at a higher rate (0.931, 95% CI, 0.904 – 0.953) than yearlings (0.867, 95% CI, 0.802 – 0.922) under average conditions of all other covariates. If the first nest failed, renesting rates were similar between adults (0.349, 95% CI, 0.292 – 0.410) and yearlings (0.353, 95% CI, 0.217 – 0.507). Females in better body condition at the start of the season nested at higher rates, and moderately snowy winters led to the highest nesting propensity during the following spring. Drier conditions led to low rates of nesting, particularly in areas with dense cattle grazing. Female survival was lower for nesting females, indicating a survival cost of reproduction. Areas with abundant free-roaming horses had slightly higher nesting propensity, though other research suggests negative impacts later in the breeding cycle. Sage-grouse face life-history trade-offs that may be shifting due to changing climatic conditions. Our work suggests that the effects of competition with non-native ungulates on sage-grouse life-histories may be exacerbated by adverse weather.</p>

opencc-zeroMar 2023View details →
dryad40/100

Climate and habitat type interact to influence contemporary dispersal potential in Prairie Smoke (Geum triflorum)

Open the record for dataset details and reuse information.

publicApr 2024View details →
dryad40/100

Spatiotemporal influences of climate and humans on muskox range dynamics over multiple millennia

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publicAug 2022View details →
dryad40/100

Sex roles in birds: influence of climate, life histories and social environment

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publicJan 2022View details →
dryad40/100

Species mixture effects and climate influence growth, recruitment and mortality in Interior West U.S.A. Populus tremuloides - conifer communities

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publicMay 2021View details →
dryad40/100

Data for: Hardwoods influence effect of climate and intraspecific competition on growth of woodland longleaf pine trees

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publicFeb 2023View details →
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Climate and non-native herbivores influence reproductive investment by Greater Sage-grouse

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publicMar 2023View details →
dryad36/100

Influence of climate, soil and land cover on plant species distribution in the European Alps

<p>Although the importance of edaphic factors and habitat structure for plant growth and survival is known, both are often neglected in favor of climatic drivers when investigating the spatial patterns of plant species and diversity. Yet, especially in mountain ecosystems with complex topography, missing edaphic and habitat components may be detrimental for a sound understanding of biodiversity distribution. Here, we compare the relative importance of climate, soil and land cover variables when predicting the distributions of 2'616 vascular plant species in the European Alps, representing approximately two thirds of all European Flora. Using presence-only data, we built point-process models (PPMs) to relate species observations to different combinations of covariates. We evaluated the PPMs through block cross-validations, and assessed the independent contributions of climate, soil and land cover covariates to predict plant species distributions using an innovative predictive partitioning approach. We found climate to be the most influential driver of spatial patterns in plant species with a relative influence of ~58.5% across all species, with decreasing importance from low to high elevations. Soil (~20.1%) and land cover (~21.4%), overall, were less influential than climate, but increased in importance along the elevation gradient. Furthermore, land cover showed strong local effects in lowlands, while the contribution of soil stabilized at mid-elevations. The decreasing influence of climate with elevation is explained by increasing endemism, and the fact that climate becomes more homogeneous as habitat diversity declines at higher altitudes. In contrast, soil predictors were found to follow the opposite trend. Additionally, at low elevations, human-mediated land cover effects appear to reduce the importance of climate predictors. We conclude that soil and land cover are, like climate, principal drivers of plant species distribution in the European Alps. While disentangling their effects remains a challenge, future studies can benefit markedly by including soil and land cover effects when predicting species distributions.</p>

opencc-zeroAug 2020View details →
zenodo36/100

Data and Software accompanying "Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere", submitted to JGR: Biogeosciences August 2020

<p>This is a collection of all of the data files and python notebooks used in creating the manuscript&nbsp;&quot;Slope-aspect induced climate differences influence how water is exchanged between the land and atmosphere&quot;, submitted to JGR: Biogeosciences August 2020.&nbsp;</p>

opencc-by-4.0Aug 2020View details →
dryad36/100

Data from: Climate oscillation and alien species invasion influences oceanic seabird distribution

Spatial and temporal distribution of seabird transiting and foraging at sea is an important consideration for marine conservation planning. Using at-sea observations of seabirds (n = 317), collected during the breeding season from 2012 to 2016, we built boosted regression tree (BRT) models to identify relationships between numerically dominant seabird species (red-footed booby, brown noddy, white tern and wedge-tailed shearwater), geomorphology, oceanographic variability, and climate oscillation in the Chagos Archipelago. We documented positive relationships between red-footed booby and wedge-tailed shearwater abundance with the strength in the Indian Ocean Dipole, as represented by the Dipole Mode Index (6.7% and 23.7% contribution respectively). The abundance of red-footed boobies, brown noddies and white terns declined abruptly with greater distance to island (17.6%, 34.1% and 41.1% contribution respectively). We further quantified the effects of proximity to rat-free and rat-invaded islands on seabird distribution at sea, and identify breaking point distribution thresholds. We identified areas of increased abundance at sea and habitat use-age under a scenario where rats are eradicated from invaded nearby islands and recolonised by seabirds. Following rat eradication, abundance at sea of red-footed booby, brown noddy, and white terns increased by 14%, 17% and 3% respectively, with no important increase detected for shearwaters. Our results have implication for seabird conservation and island restoration. Climate oscillations may cause shifts in seabird distribution, possibly through changes in regional productivity and prey distribution. Invasive species eradications and subsequent island recolonization can lead to greater access for seabirds to areas at-sea, due to increased foraging or transiting through, potentially leading to distribution gains and increased competition. Our approach predicting distribution after successful eradications enables anticipatory threat-mitigation in these areas, minimising competition between colonies and thereby maximising the risk of success and the conservation impact of eradication programmes.

opencc-zeroJul 2021View details →
dryad36/100

Data from: Phylogenetic conservatism and biogeographic affinity influence woody plant species richness-climate relationships in eastern Eurasia

<p>Mechanisms underlying species richness patterns remain a central yet controversial issue in biology. Climate has been regarded as a major determinant of species richness. However, the relative influences of different evolutionary processes, (i.e. niche conservatism, diversification rate, and time for speciation) on species richness-climate relationships remain to be tested. Here, using newly compiled distribution maps for 11,422 woody plant species in eastern Eurasia, we estimated species richness patterns for all species and for families with tropical and temperate affinities separately, and explored the phylogenetic signals in species richness patterns of different families and their relationships with contemporary climate and climate change since the Last Glacial Maximum (LGM). We further compared the effects of niche conservatism (represented by contemporary-ancestral climate niches differences), diversification rate and time for speciation (represented by family age) on variation in the slopes of species richness-climate relationships. We found that winter coldness was the best predictor for species richness patterns of most tropical families while Quaternary climate change was the best predictor for those of most temperate families. Species richness patterns of closely-related families were more similar than those of distantly-related families within eudicots, and significant phylogenetic signals characterized the slopes of species richness-climate relationships across all angiosperm families. Contemporary-ancestral climate niche differences dominated variation in the relationships between family-level species richness and most climate variables. Our results indicate significant phylogenetic conservatism in family-level species richness patterns and their relationships with contemporary climate within eudicots. These findings shed light on the mechanisms underlying large-scale species richness patterns and suggest that ancestral climatic niche may influence the evolution of species richness-climate relationships in plants through niche conservatism.</p>

opencc-zeroMar 2020View details →
dryad36/100

Data from: Influence of a climatic gradient on genetic exchange between two oak species

Premise of the study. In plant groups with limited intrinsic barriers to gene flow, it is thought that environmental conditions can modulate interspecific genetic exchange. Oaks are known for limited barriers to gene flow among closely related species. Here, we use Quercus as a living laboratory in which to pursue a fundamental question in plant evolution: do environmental gradients restrict or promote genetic exchange between species? Methods. We focused on two North American oaks, the rare Q. dumosa and the widespread Q. berberidifolia. We sampled intensively along a contact zone in California. We sequenced restriction site associated DNA markers and measured vegetative phenotype. We tested for genetic exchange, the association with climate, and the effect on phenotype. Key results. There is evidence for genetic exchange between the species. Admixed plants are found in areas of intermediate climate, while less admixed plants are found at the extremes of the climatic gradient. Genetic and phenotypic patterns are out of phase in the zone of contact; some plants display the phenotype of one species but are genetically associated with another. Conclusions. Our results support the hypothesis that a strong climatic gradient can promote genetic exchange between species. The overall weak correlation between genotype and phenotype in the contact zone between the species suggests that genetic exchange can lead to the breakdown of trait combinations used to define species. This incongruency predicts ongoing problems for conservation of Q. dumosa, with implications for conservation of other oaks. Please be aware that if you ask to have your user record removed, we will retain your name in the records concerning manuscripts for which you were an author, reviewer, or editor. In compliance with data protection regulations, you may request that we remove your personal registration details at any time. (Use the following URL: https://www.editorialmanager.com/ajb/login.asp?a=r) Please contact the publication office if you have any questions.

opencc-zeroDec 2018View details →
zenodo36/100

Analysis of anthropogenic influence on pollen based climate research

<p>In paleoclimatology the relationships between vegetation and climate are used to infer past climate from plant fossils. However, if a transfer function is tested on modern pollen and climate observations,  there is a mismatch between observed and inferred climate. Several causes for such a mismatch have been identified by literature, but this research focusses on humans. Humans influence community assembly of vegetation, but the effect of this influence on climatic studies is not well investigated. The aim of this research was to assess anthropogenic  influence on climatic mismatch.</p> <p>Data was collected from previous research on 29 Amazonian sites. This was run through a transfer function and mismatch was calculated for the mean annual temperature, mean diurnal range and annual precipitation. Linear regression tests were used to test the data on a correlation between human influence (land use and distances to features) and mismatch.</p> <p>Mismatch decreased at first and then increased in the opposite direction. There is evidence that precipitation is affected by humans. Of all considered measures the distance to the nearest hardened road had the strongest relationship with induced mismatch.</p> <p> </p> <p>This file contains all used data and R scripts. With the contents the results can be recreated. Instructions on use are enclosed</p>

opencc-by-4.0Jul 2017View details →
zenodo36/100

Universal microbial network decomposes mammals despite varied climate, location, and seasonal influence

<p>Microbial breakdown of organic material is one of the most important processes on earth, yet enormous knowledge gaps exist about its controls. We demonstrate that a universal, inter-kingdom microbial network assembles in response to nutrient-rich, terrestrial mammalian decomposition, despite selection effects of location, climate and season. We created the first metagenome-assembled genome library from mammalian decomposition-associated soils and combined it with metabolomics to identify a microbial decomposer network that interacts by cross-feeding to efficiently metabolize labile decomposition products. The key fungal and bacterial decomposers appear unique to the breakdown of terrestrial cadavers, and are rare in relative abundance across non-decomposition environments. Blow flies are suggested as an important decomposer vector and the observed lockstep of microbial interactions underlies a robust microbial forensic tool for predicting the time since death.&nbsp;</p>

opencc-by-3.0-usApr 2023View details →
dryad36/100

Variable influence of photosynthetic thermal acclimation on future carbon uptake in Australian wooded ecosystems under climate change

<p><span>Climate change will impact gross primary productivity (GPP), net primary productivity (NPP), and carbon storage in wooded ecosystems. The extent of change will be influenced by thermal acclimation of photosynthesis – the ability of plants to adjust net photosynthetic rates in response to growth temperatures – yet regional differences in acclimation effects among wooded ecosystems are currently unknown.  We examined the effects of changing climate on 17 Australian wooded ecosystems with and without the effects of thermal acclimation of C<sub>3</sub> photosynthesis. Ecosystems were drawn from five ecoregions (tropical savanna, tropical forest, Mediterranean woodlands, temperate woodlands, and temperate forests) that span Australia's climatic range. We used the CABLE-POP land surface model adapted with thermal acclimation functions and forced with HadGEM2-ES climate projections from RCP8.5. For each site and ecoregion, we examined a) effects of climate change on GPP, NPP, and live tree carbon storage; and b) impacts of thermal acclimation of photosynthesis on simulated changes. Between the end of the historical (1976–2005) and projected (2070–2099) periods, simulated annual carbon uptake increased in the majority of ecosystems by 26.1 to 63.3% for GPP and 15 to 61.5% for NPP.  Thermal acclimation of photosynthesis further increased GPP and NPP in tropical savannas by 27.2% and 22.4% and by 11% and 10.1% in tropical forests with positive effects concentrated in the wet season (tropical savannas) and the warmer months (tropical forests). We predicted minimal effects of thermal acclimation of photosynthesis on GPP, NPP and carbon storage in Mediterranean woodlands, temperate woodlands and temperate forests. Overall, positive effects were strongly enhanced by increasing CO<sub>2</sub> concentrations under RCP8.5. We conclude that the direct effects of climate change will enhance carbon uptake and storage in Australian wooded ecosystems (likely due to CO<sub>2</sub> enrichment) and that benefits of thermal acclimation of photosynthesis will be restricted to tropical ecoregions.</span></p>

opencc-zeroNov 2023View details →
dryad36/100

Data from: Climatic influences on winter precipitation use by trees in summer

<p>Trees in seasonal climates may use water originating from both winter and summer precipitation. However, the seasonal origins of water used by trees have not been systematically studied. We used stable isotopes of water to compare the seasonal origins of water found in three common tree species across 24 Swiss forest sites sampled in two different years. The data set provides information on the sites (e.g., latitude/longitude, site name), site characteristics (e.g., weather/climate), tree species studied (beech, spruce and oak), and corresponding observations of stable isotopes of hydrogen and oxygen in tree xylem water. </p>

opencc-zeroFeb 2022View details →
dryad36/100

Data from: Influence of topographic features and vegetation on climate refugia in the boreal plains

<ol> <li>Climate-change refugia can be defined by the strength of influence of physiographic and biotic properties on local atmospheric conditions relative to regional averages. In flatter landscapes, thermal heterogeneity and decoupling may be limited. We sought to quantify the magnitude of climate decoupling produced by topographic variation and vegetation in North America's boreal-parkland-grassland transition zone.</li> <li>We deployed iButton data loggers at four hill and 12 river valley systems along a latitudinal gradient in Alberta, Canada (N = 240) between 2014 and 2018. We modelled monthly temperature metrics by season as a function of topography and percent vegetation cover using general linear mixed effect models.</li> <li>Summer T<sub>max</sub> varied ~6 <sup>o</sup>C across the entire elevation gradient sampled, and ~3.5 <sup>o</sup>C within the range of topographic conditions sampled, after accounting for latitude. We found that canopy cover type had a negative effect on most temperature metrics, with coniferous forests having the strongest effect on T<sub>min </sub>and T<sub>ave</sub>. Spatial predictions derived from models based on iButton sensors resulted in similar regional patterns compared to a gridded climate product (ClimateNA), but the difference between them increased with potential solar radiation, vegetation cover and terrain roughness.</li> <li>We observed that local T<sub>max</sub> on steep, north-facing slopes with relatively low levels of potential solar radiation were 0.5 – 1.5 <sup>o</sup>C cooler than the surrounding landscape on average, while terrain roughness may further contribute to 0.5 – 0.7 ­<sup>o</sup>C. When combined, these local landscape characteristics may compensate for expected warming by the end of the century. Topographic and vegetation characteristics that are related to colder local climates should be considered in the evaluation of future climate-change impacts and to identify potential refugia from climate-change.</li> </ol>

opencc-zeroApr 2022View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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