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68 results for “multiple drivers”
Data from: Testing multiple drivers of the temperature-size rule with nonlinear temperature increase
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Long-term empirical evidence, early warning signals, and multiple drivers of regime shifts in a lake ecosystem
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Data from: Glaciations, gradients, and geography: multiple drivers of diversification of bush frogs in the Western Ghats Escarpment
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Disentangling the roles of bottom-up and top-down drivers in the trade-off between food acquisition and safety in prey with multiple predators
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Data from: Why are monarch butterflies declining in the West? Understanding the importance of multiple correlated drivers
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Data from: Disentangling the effects of multiple environmental drivers on population changes within communities
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Data from: Orchid phylogenomics and multiple drivers of their extraordinary diversification
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Data from: Multiple environmental drivers structure plant traits at the community level in a pyrogenic ecosystem
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Data from: Drivers of landscape evolution: multiple regimes and their influence on carbon sequestration in a sub-tropical peatland
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Data from: Combinations of Spok genes create multiple meiotic drivers in Podospora
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Data from: Growth responses of a green alga to multiple environmental drivers
One feature of global change is that biota must respond not to single, but to multiple environmental drivers. By growing a model photosynthetic microbe in environments containing between one and eight different drivers, including changes in CO2, temperature, and pH, in different combinations, we show that the number as well as the identities of drivers explain shifts in population growth rates. This is because the biotic response to multiple environmental drivers depends on the response to the single dominant driver, and the chance of a driver of large effect being present increases with the number of drivers. Interactions between drivers slightly counteract the expected drop in growth. Our results demonstrate that population growth declines in a predictable way with the number of environmental drivers, and provide an empirically supported model for scaling up from studies on organismal responses to single drivers to predict responses to large numbers of environmental drivers.
Niche differentiation within a cryptic pathogen complex: climatic drivers and hyperparasitism at multiple spatial scales
<p><span>Pathogens are embedded in multi-trophic food webs, which often include co-occurring cryptic species within the same pathogen complex. Nonetheless, we still lack an understanding of what dimensions of the ecological niche might allow these cryptic species to coexist. We explored the role of climate, host characteristics (tree autumn phenology) and attack by the fungal hyperparasite <em>Ampelomyces</em> (a group of fungi attacking plant pathogens) in defining the niches of three powdery mildew species (<em>Erysiphe alphitoides</em>, <em>E. hypophylla</em> and<em> E. quercicola</em>) within a cryptic pathogen complex on the pedunculate oak Quercus robur at the continental (Europe), national (Sweden and France) and landscape scales (a 5 km2 island in southwestern Finland). Previous studies have shown that climate separated the niches of three powdery mildew species (<em>E. alphitoides</em>, <em>E. hypophylla </em>and <em>E. quercicola</em>) in Europe and two species (<em>E. alphitoides </em>and <em>E. quercicola</em>) in France. In our study, we did not detect a significant relationship between temperature or precipitation and the distribution of <em>E. alphitoides </em>and <em>E. hypophylla</em> present in Sweden, while at the landscape scale, temperature, but not relative humidity, negatively affected disease incidence of <em>E. alphitoides</em> in an exceptionally warm year. Tree variation in autumn phenology did not influence disease incidence of powdery mildew species, and hyperparasite presence did not differ among powdery mildew species at the continental, national and landscape scale. Climate did not affect the distribution of the hyperparasite at the continental scale and at the national scale in Sweden. However, climate affected the hyperparasite distribution in France, with a negative relationship between non-growing season temperature and presence of the hyperparasite. Overall, our findings, in combination with earlier evidence, suggest that climatic factors are more important than species interactions in defining the niches of cryptic species within a pathogen complex on oak. </span></p>
Data from: Identifying multiple coral reef regimes and their drivers across the Hawaiian archipelago
Loss of coral reef resilience can lead to dramatic changes in benthic structure, often called regime shifts, which significantly alter ecosystem processes and functioning. In the face of global change and increasing direct human impacts, there is an urgent need to anticipate and prevent undesirable regime shifts and, conversely, to reverse shifts in already degraded reef systems. Such challenges require a better understanding of the human and natural drivers that support or undermine different reef regimes. The Hawaiian archipelago extends across a wide gradient of natural and anthropogenic conditions and provides us a unique opportunity to investigate the relationships between multiple reef regimes, their dynamics and potential drivers. We applied a combination of exploratory ordination methods and inferential statistics to one of the most comprehensive coral reef datasets available in order to detect, visualize and define potential multiple ecosystem regimes. This study demonstrates the existence of three distinct reef regimes dominated by hard corals, turf algae or macroalgae. Results from boosted regression trees show nonlinear patterns among predictors that help to explain the occurrence of these regimes, and highlight herbivore biomass as the key driver in addition to effluent, latitude and depth.
Out of the Andes and up to the Arctic: multiple drivers promote rapid radiation in Colias butterflies
<p>The drivers of insect radiation in mountain ecosystems are poorly understood compared to birds and plants. The drivers of insect radiation in mountain ecosystems are poorly understood compared to birds and plants. We studied the rapid radiation of the butterfly genus Colias, which has diversified in mountain ecosystems in Eurasia, Africa, and the Americas. Based on a dataset of 150 nuclear protein-coding genetic loci and whole mitochondrial genomes, we constructed a time-calibrated tree of the genus Colias with broad taxon sampling. We then inferred historical characteristics of this genus, including ancestral range reconstruction, historical diversification rates, and the evolution of host plant use. We found that rapid diversification was driven by several factors including favorably warm climates in the mid-Pliocene that promoted the population expansion, and the formation of the Isthmus of Panama and the Bering Land Bridge, which led to intercontinental dispersals that opened new ecological opportunities. These two extrinsic factors may simultaneously be the main extrinsic drivers of the genus' rapid diversification. Introgression may have improved the ecological adaptability of the genus Colias, and we propose that this is the primary intrinsic driver of diversification. Expansion of host plant breadth enabling population expansion was a secondary driving factor. We suggest that mountain uplift had little effect on the diversity of Colias after the initial split from the common ancestor shared with its sister taxon Zerene and emphasize the importance of historical climatic and geological events for studies of rapid radiations of montane species.</p>
Niche differentiation within a cryptic pathogen complex: climatic drivers and hyperparasitism at multiple spatial scales
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Out of the Andes and up to the Arctic: multiple drivers promote rapid radiation in Colias butterflies
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Data from: Growth responses of a green alga to multiple environmental drivers
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Data from: Identifying multiple coral reef regimes and their drivers across the Hawaiian archipelago
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Deep Multiple-omics Profiling of Brain Tumors Identifies Signaling Networks Downstream of Cancer Driver Genes
GEO Series GSE114331. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Dissecting the autism-associated 16p11.2 locus identifies multiple drivers in neuroanatomical phenotypes and unveils a male-specific role for the major vault protein
GEO Series GSE243261. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.