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180 results for “Environmental Drivers”

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zenodo40/100

Figure 1 in Plant diversity in Sabkha ecosystems of arid region: spatial and environmental drivers

Figure 1. The first two axes of canonical analysis of principal coordinates based on discriminant analysis (CAP) of plant species composition in the three Sabkha ecosystems. Ash: Al-Oshaziyah; Qas: Qasab; Shaq: Shaqa. F-value= 2.879 and P-value=0.003 of the CAP model.

opencc-by-4.0Dec 2022View details →
dryad40/100

Data from: The spatial patterns of community composition, their environmental drivers and their spatial scale dependence vary markedly between fungal ecological guilds

<p><strong><span>Aim</span></strong></p> <p><span>How community composition varies in space and what governs the variation has been extensively investigated in macroorganisms. However, we have only limited knowledge for microorganisms, especially fungi, despite their ecological and economic significance. Based on previous research, we define and test a series of hypotheses regarding the composition of fungal communities, its most influential drivers and their spatial scale dependence. </span></p> <p><strong><span>Location</span></strong></p> <p><span>Czech Republic.</span></p> <p><strong><span>Time period</span></strong></p> <p><span>Present.</span></p> <p><strong><span>Taxa studied</span></strong></p> <p><span>Fungi.</span></p> <p><strong><span>Methods</span></strong></p> <p><span>We analyzed the distance decay relationships, community composition and its drivers (physical distance, litter and soil chemistry, tree composition, climate) in fungi, using multivariate analyses. We compared the results across three fungal ecological guilds (ectomycorrhizal fungi, saprotrophs and yeasts), two forest microhabitats (litter and bulk soil) and six spatial scales (from 5 m to 80 km) that comprehensively cover the Czech Republic.</span></p> <p><strong><span>Results</span></strong></p> <p><span>We found that, similar to macroorganisms, the ectomycorrhizal fungi and saprotrophs showed marked distance-decay relationships</span><span>,</span><span> and their community composition was driven mainly by vegetation and dispersal at local scales, but at regional scales, by environmental effects. In contrast, the third fungal guild, the unicellular yeasts, showed little distance decay, suggesting extraordinary spatial homogeneity, as often seen in microorganisms, such as bacteria.</span></p> <p><strong><span>Main conclusions</span></strong></p> <p><span>Our results underscore the remarkable variation in the community ecology of fungi, which seems to range well-known patterns both from the macro- and the microworld. Knowledge of these patterns advances our understanding of the ecology of fungi, rather understudied organisms of significant ecological and economic importance, which our findings identify as a potentially suitable model for bridging the gaps between the biogeography of micro- and macroorganisms. </span></p>

opencc-zeroMar 2023View details →
zenodo40/100

Upper thermal tolerance of grassland vipers (Vipera spp.): environmental drivers and local adaptation

<p>The thermal tolerance of ectotherms is a critical factor that influences their distribution, physiology, behaviour, and ultimately survival. Understanding the factors that shape thermal tolerance in these organisms is therefore of great importance for predicting their responses to forecasted climate warming. Here, we investigated the voluntary thermal maximum (VTmax) of nine grassland viper taxa and explored the factors that influence this trait. The small size of these vipers and the open landscape they inhabit renders them particularly vulnerable to overheating and dehydration. We found that the VTmax of grassland vipers is influenced by environmental temperature, precipitation, shortwave flux, and individual body size, rather than by phylogenetic relatedness. Vipers living in colder environments exhibited a higher upper thermal tolerance, contradicting the hypothesis that environmental temperature is positively related to VTmax. Our findings emphasise the importance of considering local to regional adaptation and environmental conditions when studying thermal physiology and the evolution of thermal tolerance in ectotherms.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Replication data for: IT Governance as Drivers of Dynamic Capabilities to Gain Corporate Performance Under the Effects of Environmental Dynamism.

<p>Este estudo, baseado em dados de 147 empresas brasileiras da base de dados artigo-cient&iacute;fica, explora o papel vital da governan&ccedil;a de TI na promo&ccedil;&atilde;o da inova&ccedil;&atilde;o e no aprimoramento de capacidades operacionais para melhorar a efici&ecirc;ncia corporativa em ambientes de neg&oacute;cios vol&aacute;teis. A an&aacute;lise estat&iacute;stica destacou a import&acirc;ncia da estrat&eacute;gia de orienta&ccedil;&atilde;o das empresas na maximiza&ccedil;&atilde;o do valor e impacto da governan&ccedil;a de TI, dependendo do n&iacute;vel de dinamismo ambiental. Os resultados sublinham a relev&acirc;ncia da governan&ccedil;a de TI na promo&ccedil;&atilde;o de capacidades din&acirc;micas e na gera&ccedil;&atilde;o de retornos econ&ocirc;micos.</p>

opencc-by-4.0Oct 2023View details →
dryad40/100

Data from: Environmental drivers of population-level variation in the migratory and diving ontogeny of an Arctic top predator

Open the record for dataset details and reuse information.

publicMar 2022View details →
dryad40/100

Data from: Potential drivers and implications of a balanced breeding sex ratio in a small population of an imperiled species with environmental sex determination

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publicAug 2024View details →
dryad40/100

Data from: Genetic, phenotypic, and environmental drivers of local adaptation and climate-change induced maladaptation in yellow warblers

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publicOct 2025View details →
dryad40/100

Data and code for: Nonlinear life table response analysis: Decomposing nonlinear and nonadditive population growth responses to changes in environmental drivers

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publicMar 2024View details →
dryad40/100

Environmental drivers of biseasonal anthrax outbreak dynamics in two multi-host savanna systems

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publicMar 2022View details →
dryad40/100

Data from: The spatial patterns of community composition, their environmental drivers and their spatial scale dependence vary markedly between fungal ecological guilds

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publicOct 2023View details →
edi40/100

SBC LTER: REEF: Macrocystis pyrifera biomass and environmental drivers in southern and central California

These data describe 1987-2019 time series of giant kelp (Macrocystis pyrifera) biomass and associated environmental variables (wave height, nitrate concentration, climate indices) at quarterly and annual time intervals. Data for spatially resolvable variables (giant kelp biomass, wave height, nitrate concentration) pertain to 361 coastline segments (500 m length) in southern and central California where giant kelp was persistent over the sampling period. Data are contained in 5 tables: 1) quarterly time series of giant kelp biomass, wave height, and nitrate concentrations for 361 coastline segments; 2) quarterly time series of aspatial climate indices (NPGO, MEI, PDO); 3) annual time series of giant kelp biomass, wave height, and nitrate concentrations for 361 coastline segments; 4) annual time series of aspatial climate indices (NPGO, MEI, PDO); 5) locations (latitude and longitude of center) of coastline segments. Kelp data are derived from satellite imagery using empirical relationships. Wave data are derived from an empirically validated swell propagation model. Nitrate data are derived from empirical relationships with remotely-sensed sea surface temperature.

openCC (other)Sep 2021View details →
dryad36/100

Environmental drivers of Sphagnum growth in peatlands across the Holarctic region

<p>The relative importance of global versus local environmental factors for growth and thus carbon uptake of the bryophyte genus <i>Sphagnum </i>– the main peat-former and ecosystem engineer in northern peatlands – remains unclear. 2) We measured length growth and net primary production (NPP) of two abundant <i>Sphagnum</i> species across 99 Holarctic peatlands. We tested the importance of previously proposed abiotic and biotic drivers for peatland carbon uptake (climate, N deposition, water table depth, and vascular plant cover) on these two responses. Employing structural equation models, we explored both indirect and direct effects of drivers on <i>Sphagnum</i> growth. 3) Variation in growth was large, but similar within and between peatlands. Length growth showed a stronger response to predictors than NPP. Moreover, the smaller and denser <i>Sphagnum fuscum</i> growing on hummocks had weaker responses to climatic variation than the larger and looser<i> S. magellanicum</i> growing in the wetter conditions. Growth decreased with increasing vascular plant cover within a site. Between sites, precipitation and temperature increased growth for <i>S. magellanicum</i>. The structural equation models indicated that indirect effects are important. For example, vascular plant cover increased with a deeper water table, increased nitrogen deposition, precipitation and temperature. These factors also influenced <i>Sphagnum</i> growth indirectly by affecting moss shoot density. 4) Synthesis Our results imply that in a warmer climate, <i>S. magellanicum</i> will increase length growth as long as precipitation is not reduced, while<i> S. fuscum</i> is more resistant to decreased precipitation, but also less able to take advantage of increased precipitation and temperature. Such species-specific sensitivity to climate may affect competitive outcomes in a changing environment, and potentially the future carbon sink function of peatlands.</p>

opencc-zeroDec 2019View details →
dryad36/100

Allometry rather than abiotic drivers explains biomass allocation among leaves, stems and roots of Artemisia across a large environmental gradient in China

<p>1. Biomass allocation patterns reflect the adaptive strategies of plants growing in different environments, which is a central issue in comparative plant ecology and evolution. However, the factors underpinning specific allocation patterns across organs and the existence of general rules governing allocation remain contentious. Optimal partitioning theory (OPT) states that plants can respond to resource availability by allocating relatively more biomass to the organ that captures the most limiting resources to optimize growth. In contrast, allometric partitioning theory (APT) postulates that biomass allocation among organs is a power function of plant size independently of environmental variation. As phylogenetic and growth form constraints (e.g. formation of inert heartwood in tree clades) may also affect biomass allocation, comparison among and within closely related taxa of rather similar growth form may enable a more direct testing of which of these two theories prevails.</p> <p>2. To test whether OPT or APT was prevalent at wide geographic scale, we investigated biomass allocation patterns among leaves, stems and roots of 1022 plants of 63 Artemisia species (Asteraceae) collected along broad climate (annual mean temperature range -4.9 to 18.0 °C, annual mean precipitation range 193 to 1668 mm) and soil gradients (soil carbon content range 1.6 to 15.4 kg C m-2) in central and eastern China.</p> <p>3. There were strong allometric relationships among leaf mass (ML), stem mass (MS) and root mass (MR) at both inter- and intraspecific level. Moreover, the interspecific and intraspecific patterns were not different from general patterns for pooled plants, i.e. ML/MR and ML/MS, but not MS/MR, generally decreased with plant size. However, the three organ mass ratios were not responsive to broad climatic or soil gradients after the effect of plant size was removed.</p> <p>4. Synthesis. Our results generally support APT instead of OPT, suggesting that Artemisia plants have evolved an allometric strategy rather than relying on adjustment of allocation among organs to adapt to the broadly varying environments at the regional scale. For follow-up research, we hypothesize that the strong allometric constraints on biomass allocation should depend on strong physiological adaptive responses of the different organs of Artemisia to environmental gradients.</p>

opencc-zeroOct 2020View details →
dryad36/100

Environmental and biotic drivers of soil microbial β‐diversity across spatial and phylogenetic scales

<p>Soil microbial communities play a key role in ecosystem functioning but still little is known about the processes that determine their turnover (β-diversity) along ecological gradients. Here, we characterize soil microbial β-diversity at two spatial scales and at multiple phylogenetic grains to ask how archaeal, bacterial and fungal communities are shaped by abiotic processes and biotic interactions with plants. We characterized microbial and plant communities using DNA metabarcoding of soil samples distributed across and within eighteen plots along an elevation gradient in the French Alps. The recovered taxa were placed onto phylogenies to estimate microbial and plant β-diversity at different phylogenetic grains (i.e. resolution). We then modeled microbial β-diversities with respect to plant β-diversities and environmental dissimilarities across plots (landscape scale) and with respect to plant β-diversities and spatial distances within plots (plot scale). At the landscape scale, fungal and archaeal β-diversities were mostly related to plant β-diversity, while bacterial β-diversities were mostly related to environmental dissimilarities. At the plot scale, we detected a modest covariation of bacterial and fungal β-diversities with plant β-diversity; as well as a distance–decay relationship that suggested the influence of ecological drift on microbial communities. In addition, the covariation between fungal and plant β-diversity at the plot scale was highest at fine or intermediate phylogenetic grains hinting that biotic interactions between those clades depends on early-evolved traits. Altogether, we show how multiple ecological processes determine soil microbial community assembly at different spatial scales and how the strength of these processes change among microbial clades. In addition, we emphasized the imprint of microbial and plant evolutionary history on today's microbial community structure.</p>

opencc-zeroOct 2019View details →
dryad36/100

Data from: Disentangling evolutionary, environmental and morphological drivers of plant anatomical adaptations to drought and cold in Himalayan graminoids

Understanding what determine plants ability to survive drought and cold is crucial for predicting how plants may respond to ongoing climate change. Plant survival strategies are usually characterized by morphological and physiological adaptations, while their underlying anatomical settings are largely unknown. Woody angiosperms and herbaceous dicots have repeatedly evolved small water transporting conduits and large storage parenchyma tissues at colder or drier places to cope with freezing- and drought-induced damages. However, whether these adaptations are also valid for graminoids remains unclear. Here we show that stem anatomical variations in grasses, sedges and rushes dominating in western Himalayan grasslands are driven by elevation and soil moisture via control over aboveground plant stature and belowground clonal growth, while phylogenetic constraints have only a weak effect. Phylogenetic comparative analyses controlling for confounding factors showed that the elevation-related cooling controls the conductive system through reduced vessel diameter and extended assimilatory and storage tissues with more chlorenchyma and less sclerenchyma around vessels. The soil moisture deficit, on the other hand, determines stabilization structures by promoting short-rhizomatous turf graminoids with hollow stems, thicker epidermis and deep adventitious roots in dry steppes and semi-deserts. Saline wetlands and moist alpine pastures promote long-rhizomatous short-stature plants with lower need for mechanical support (absence of hollow stem) and exposure to high evaporative forcing (thinner epidermis). Observed trends of decreasing vessel sizes and lignification rate with elevation supports the existing knowledge that narrower vessels and extensive parenchyma assist plants to grow in cold environments by avoiding freezing-induced cavitation. Our results bring novel information on ecological drivers influencing the evolution of anatomical adaptations in high mountain graminoids. Distinct grassland types, covering elevations from 2650 to 6150 m, harbor unrelated species with different evolutionary histories that have converged towards similar anatomical structures.

opencc-zeroJun 2019View details →
zenodo36/100

V2 - Space use of invertebrates in terrestrial habitats: phylogenetic, functional and environmental drivers of interspecific variations

<p>VERSION 2</p>

opencc-by-4.0Nov 2023View details →
dryad36/100

Data from: Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia

Despite a long history of mosquito-borne virus epidemics in the Americas, the impact of the Zika virus (ZIKV) epidemic of 2015-2016 was unexpected. The need for scientifically informed decision-making is driving research to understand the emergence and spread of ZIKV. To support that research, we assembled a data set of key covariates for modeling ZIKV transmission dynamics in Colombia, where ZIKV transmission was widespread and the government made incidence data publically available. On a weekly basis between January 1, 2014 and October 1, 2016 at three administrative levels, we collated spatiotemporal Zika incidence data, nine environmental variables, and demographic data into a single downloadable database. These new datasets and those we identified, processed, and assembled at comparable spatial and temporal resolutions will save future researchers considerable time and effort in performing these data processing steps, enabling them to focus instead on extracting epidemiological insights from this important data set. Similar approaches could prove useful for filling data gaps to enable epidemiological analyses of future disease emergence events.

opencc-zeroDec 2017View details →
zenodo36/100

Net effect of environmental fluctuations in multiple global-change drivers across the tree of life

<p>This dataset contains the raw data presented in the article and supplementary material by M. J. Cabrerizo and E. Mara&ntilde;&oacute;n entitled: &quot;<strong>Net effect of environmental fluctuations in multiple global-change drivers across the tree of life&quot;</strong></p>

opencc-by-4.0Jul 2022View details →
dryad36/100

Environmental drivers of local abundance-mass scaling in soil animal communities

<p>The relationship between species' body masses and densities is strongly conserved around a three-quarter power law when pooling data across communities. However, studies of local within-community relationships have revealed major deviations from this general pattern, which has profound implications for their stability and functioning. Despite multiple contributions of soil communities to people, there is limited knowledge on the drivers of body mass-abundance relationships in these communities. We compiled a dataset comprising 155 soil-animal communities across four countries (Canada, Germany, Indonesia, USA), all sampled using the same methodology. We tested if variation in local climatic and edaphic conditions drives differences in local body mass-abundance scaling relationships. We found substantial variation in the slopes of this power-law relationship across local communities. Structural equation modeling showed that soil temperature and water content have a positive and negative net effect, respectively, on soil communities. These effects are mediated by changes in local edaphic conditions (soil pH and carbon content) and the body-mass range of the communities. These results highlight ways in which alterations of soil climatic and edaphic conditions interactively impact the distribution of abundance between populations of small and large animals. These quantitative mechanistic relationships facilitate our understanding of how global changes in environmental conditions, such as temperature and precipitation, will affect community-abundance distributions and thus the stability and functioning of soil-animal communities.</p>

opencc-zeroSep 2022View details →
dryad36/100

Data from: The two environmental drivers of thermoregulatory costs: Interactions between thermal mean and heterogeneity influence thermoregulation

<p>Ectotherms often thermoregulate behaviourally within variable thermal environments in their attempts to acquire optimal body temperatures. Thermoregulation accrues benefits, but also incurs costs, which are crucial for understanding thermoregulatory behaviour. Costs of thermoregulating are influenced by two key attributes of the thermal environment – heterogeneity of thermal microhabitats and the deviation of the mean temperature from an animal's preferred temperature. However, empirical research has rarely distinguished between these two drivers of thermoregulatory costs or examined them concurrently.</p> <p>Our experiment used a novel thermoregulatory arena to examine the independent and interactive effects of the two environmental drivers of costs of thermoregulation on the thermoregulatory behaviour of a small ectotherm, the jacky dragon (<em>Amphibolurus muricatus</em>).</p> <p>Following previous theory we predicted that i) thermoregulation would be higher in environments with greater thermal heterogeneity (body temperatures closer to preferred temperatures, higher thermoregulatory accuracy, and higher effectiveness of thermoregulation); and ii) changes in thermoregulation as a function of mean environmental temperatures would differ depending on thermal heterogeneity.</p> <p>We found support for our prediction that these two environmental attributes had an interactive effect on thermoregulation, but not for our prediction that thermal heterogeneity would impact thermoregulation independently. Individuals in highly heterogeneous environments maintained greater thermoregulatory accuracy compared with those in less heterogeneous environments as the mean environment increasingly deviated from the preferred temperature range.</p> <p>The results emphasise the crucial conceptual distinction between thermal mean and heterogeneity as drivers of thermoregulatory costs and how this distinction underpins variation in the thermal behaviour of ectotherms.</p>

opencc-zeroMay 2024View details →

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Allen Brain Atlas

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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