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94 results for “local environments”
Local thermal environment and warming influence supercooling and drive widespread shifts in the metabolome of diapausing Pieris rapae butterflies
<p>Global climate change has the potential to negatively impact biological systems as organisms are exposed to novel temperature regimes. Increases in annual mean temperature have been accompanied by disproportionate rates of change in temperature across seasons, and winter is the season warming most rapidly. Yet, we know relatively little about how warming will alter the physiology of overwintering organisms. Here, we simulated future warming conditions by comparing diapausing <i>Pieris rapae</i> butterfly pupae collected from disparate thermal environments and by exposing <i>P. rapae </i>pupae to acute and chronic increases in temperature. First, we compared internal freezing temperatures (supercooling points) of diapausing pupae that were developed in common-garden conditions but whose parents were collected from northern Vermont, USA, or North Carolina, USA. Matching the warmer winter climate of North Carolina, North Carolina pupae had significantly higher supercooling points than Vermont pupae. Next, we measured the effects of acute and chronic warming exposure in Vermont pupae and found that warming induced higher supercooling points. We further characterized the effects of chronic warming by profiling the metabolomes of Vermont pupae via untargeted LC-MS metabolomics. Warming caused significant changes in abundance of hundreds of metabolites across the metabolome. Notably, there were warming-induced shifts in key biochemical pathways, such as pyruvate metabolism, fructose and mannose metabolism, and β-alanine metabolism, suggesting shifts in energy metabolism and cryoprotection. These results suggest that warming affects various aspects of overwintering physiology in <i>P. rapae</i> and may be detrimental depending on the frequency and variation of winter warming events. Further research is needed to ascertain the extent to which the effects of warming are felt among a broader set of populations of <i>P. rapae</i>,<i> </i>and among other species, in order to better predict how insects may respond to changes in winter thermal environments.</p>
Data from: A role for the local environment in driving species-specific parasitism in a multi-host parasite system
<p>The extent and magnitude of parasitism often vary among closely related host species and across populations within species. Determining the ecological basis for this species and population-level variation in parasitism is critical for understanding infection dynamics in multi-host-parasite systems. To investigate such ecological underpinnings of variation in parasitism, we studied <em>Enallagma </em>damselflies host species and their water mite (<em>Arrenurus</em> spp.) ectoparasites in lakes.</p> <p>We first evaluated how host identity and density could shape parasitism. To test the effects of con- and heterospecific host density on parasitism, we used a field experiment with <em>E. basidens</em> and <em>E. signatum</em>. We found that parasitism did not vary with con- or heterospecific density and was determined by host identity alone, with no spillover effects.</p> <p>We also evaluated the potential role of local adaptation and resource availability in shaping parasitism. To do so, we used <em>E. signatum</em> in a reciprocal transplant experiment crossed with a prey resource level manipulation. This experiment revealed that parasitism declined sharply for one host population in its non-local lake, but not the other source population, with no effects of prey levels. This asymmetry implies that damselflies express enhanced defenses against parasitism that are not population specific nor dependent on resource abundance, or that mites developed heightened local host specificity.</p> <p>The results of multivariate modeling from an observational study generally supported these experimental findings: neither host density nor resource abundance strongly explained among population variation in parasitism. Instead, local abiotic conditions (pH) had the strongest relationship with parasitism, with minimal associations with predator density, temperature, and a measure of immune function.</p> <p>Collectively, our findings suggest a crucial role for the local environment in shaping host-parasite interactions within multi-host-parasite systems. More generally, these results show that research at the intersection of community ecology and disease ecology is critical for understanding host-parasite dynamics within natural communities.</p>
Research data supporting "Ephemeral Ice-Like Local Environments in Classical Rigid Models of Liquid Water"
<p>This repository contains the set of data shown in the paper <strong>"</strong><em>Ephemeral Ice-Like Local Environments in Classical Rigid Models of Liquid Water</em>", published on the Journal of Chemical Physics (DOI:10.1063/5.0088599).</p>
Combined genotype and phenotype analyses reveal patterns of genomic adaptation to local environments in the subtropical oak Quercus acutissima
Understanding the effects of the demographic dynamics and environmental heterogeneity on the genomic variation of forest species is important not only for uncovering the evolutionary history of the species but also for predicting their ability to adapt to climate change. In this study, we combined a common garden experiment with range-wide population genomics analyses to infer the demographic history and characterize patterns of local adaptation in a subtropical oak species, Quercus acutissima. We scanned about 8% of the oak genome using a balanced representation of both genic and non-genic regions and identified a total of 55,361 SNPs in 167 trees. Genomic diversity analyses revealed an east-west split in the species distribution range. Coalescent-based model simulations inferred a late Pleistocene divergence in Q. acutissima between the east and west groups as well as subsequent pre-glaciation population expansion events. Consistent with observed genetic differentiation, morphological traits also showed east-west differentiation and the biomass allocation in seedlings was significantly associated with precipitation. Environment was found to have a significant and stronger impact on the non-neutral than the neutral SNPs, and also significantly associated with the phenotypic differentiation, suggesting that apart from the geography, environment had played a role in determining non-neutral and phenotypic variation. Our approach, which combined a common garden experiment with landscape genomics data, validated the hypothesis of local adaptation of this long-lived oak tree of subtropical China. Our study joins the small number of studies that have combined genotypic and phenotypic data to detect patterns of local adaptation.
Data for: Local adaptation of switchgrass drives trait relations to yield and differential responses to climate and soil environments
<p>Switchgrass, a potential biofuel crop, is a genetically diverse species with phenotypic plasticity enabling it to grow in a range of environments. Two primary divergent ecotypes, uplands and lowlands, exhibit trait combinations representative of acquisitive and conservative growth allocation strategies, respectively. Whether these ecotypes respond differently to various types of environmental drivers remains unclear but is crucial to understanding how switchgrass varieties will respond to climate change. We grew two upland, two lowland, and two intermediate/hybrid cultivars of switchgrass at three sites along a latitudinal gradient in the central United States. Over a 4-year period, we measured plant functional traits and biomass yields and evaluated genotype-by-environment (G´E) interaction effects by analyzing switchgrass responses to soil and climate variables. We found substantial evidence of G´E interactions on biomass yield, primarily due to deviations in the response of the southern lowland cultivar Alamo, which produced more biomass in hotter and drier environments relative to other cultivars. While lowland cultivars had the highest potential for yield, their yields were more variable year-to-year compared to other cultivars, suggesting greater sensitivity to environmental perturbations. Models comparing soil and climate principal components as explanatory variables revealed soil properties, especially nutrients, to be most effective at predicting switchgrass biomass yield. Also, conservative plant traits such as high stem mass and tiller height became increasingly positively associated with biomass yield at lower latitudes where the climate is hotter and drier, regardless of ecotype. Lowland cultivars, however, showed a greater predisposition to exhibit these conservative traits. These results suggest switchgrass trait allocation trade-offs that prioritize aboveground biomass production are more tightly associated in hot, dry environments and that lowland cultivars may exhibit a more specialist life strategy relative to other cultivars. Altogether, this research provides essential knowledge for improving the viability of switchgrass as a biofuel crop.</p>
Dataset from Nature Materials paper: Amorphous nickel hydroxide shell tailors local chemical environment on platinum surface for alkaline hydrogen evolution reaction
<p>Dataset of the paper "Amorphous nickel hydroxide shell tailors local chemical environment on platinum surface for alkaline hydrogen evolution reaction" accepted in Nature Materials.</p> <p>- GCGA_inputs.zip: A zip file containing all needed input files to run a grand canonical genetic algorithm (GCGA) global optimization structure search. Note that the script would need modifications to be compatible with later version of the GOCIA package, please following the most updated instructions at https://github.com/zishengz/gocia</p> <p>- GCGA_Ni12OxHy_all_samples.db: An ASE database file containing all unique structures from the GCGA search of Ni12OxHy on a Pt(111) surface. </p> <p>- GM_Ni12O25H13.vasp: The structure of the global minimum structure from GCGA search, which is also the surface structure we focused on in this study, in VASP structure format.</p> <p>- rxn_structures.zip: A zip file containing the structures of reaction intermediates investigated in this work, in VASP structure format</p> <p> </p>
Data from: Local adaptation in mainland anole lizards: Integrating population history and genome-environment associations
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Data from: Local environment, not local adaptation, drives leaf-out phenology in common gardens along an elevational gradient in Acadia National Park, Maine
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Data for: Local adaptation of switchgrass drives trait relations to yield and differential responses to climate and soil environments
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Data for: Local environments, not hybridization, influence cardiac performance of native trout under acute thermal stress
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Data from: A role for the local environment in driving species-specific parasitism in a multi-host parasite system
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Helicopter parenting: Local-scale environment determines hiding and supervision in neonatal ungulates
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Hydrological connectivity and local environment alternately drive spatial structure of floodplain aquatic community across season
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Local dominance predicts foraging decisions in a changing environment
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Data from: Influence of range position on locally adaptive gene-environment associations in Populus flowering time genes
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Genetic divergence and local adaptation of Liriodendron driven by heterogeneous environments
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Combined genotype and phenotype analyses reveal patterns of genomic adaptation to local environments in the subtropical oak Quercus acutissima
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Local thermal environment and warming influence supercooling and drive widespread shifts in the metabolome of diapausing Pieris rapae butterflies
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Data from: Climate and local environment structure asynchrony and the stability of primary production in grasslands
<p><b>Aim</b>: Climate variability threatens to destabilize production in many ecosystems. Asynchronous species dynamics may buffer against such variability when decreased performance by some species is offset by increased performance of others. However, high climatic variability can eliminate species through stochastic extinctions or cause similar stress responses among species, reducing buffering. Local conditions, such as soil nutrients, can further alter production stability directly or by influencing asynchrony. We test these hypotheses using a globally distributed sampling experiment.</p> <p><b>Location</b>: Grasslands in North America, Europe and Australia.</p> <p><b>Time period</b>: Annual surveys over five-year intervals occurring between 2007 and 2014.</p> <p><b>Major taxa studied</b>: Herbaceous plants.</p> <p><b>Methods</b>: We annually sampled per-species cover and aboveground community biomass (net primary productivity; NPP), plus soil chemical properties, in twenty-nine grasslands. We tested how soil conditions, combined with precipitation and temperature variability, affect species richness, asynchrony and temporal stability of primary productivity. We used bivariate relationships and structural equation modeling to examine proximate and ultimate relationships.</p> <p><b>Results</b>: Climate variability strongly predicted asynchrony, whereas NPP stability was more related to soil conditions. Species richness was structured by both climate variability and soils, and in turn increased asynchrony. Temperature and precipitation variability caused a unimodal asynchrony response, with asynchrony lowest at low and high climate variability. Climate impacted stability indirectly through its effect on asynchrony, with stability increasing at higher asynchrony due to lower inter-annual NPP variability. Soil conditions had no detectable effect on asynchrony but increased stability by increasing mean NPP, especially when soil organic matter was high.</p> <p><b>Main Conclusions</b>: We found globally consistent evidence that climate modulates species asynchrony, but that the direct effect on stability is low relative to local soil conditions. Nonetheless, our observed unimodal responses to temperature and precipitation variability suggest asynchrony thresholds, beyond which there are detectable destabilizing impacts of climate on primary productivity.</p>
Self-organising cicada choruses respond to the local sound and light environment
<p>1. Periodical cicadas exhibit an extraordinary capacity for self-organising spatially synchronous breeding behavior. The regular emergence of periodical cicada broods across the US is a phenomenon of longstanding public and scientific interest, as the cicadas of each brood emerge in huge numbers and briefly dominate their ecosystem. During the emergence, the 17-year periodical cicada species Magicicada cassini is found to form synchronised choruses, and we investigated their chorusing behavior from the standpoint of spatial synchrony.</p> <p>2. Cicada choruses were observed to form in trees, calling regularly every five seconds. In order to determine the limits of this self-organising behaviour, we set out to quantify the spatial synchronisation between cicada call choruses in different trees, and how and why this varies in space and time.</p> <p>3. We performed 20 simultaneous recordings in Clinton State Park, Kansas, in June 2015 (Brood IV) with a team of citizen-science volunteers using consumer equipment (smartphones). We use a wavelet approach to show in detail how spatially synchronous, self-organised chorusing varies across the forest.</p> <p>4. We show how conditions that increase the strength of audio interactions between cicadas also increase the spatial synchrony of their chorusing. Higher forest canopy light levels increase cicada activity, corresponding to faster and higher-amplitude chorus cycling and to greater synchrony of cycles across space. We implemented a relaxation-oscillator-ensemble model of interacting cicadas, finding that a tendency to call more often, driven by light levels, results in all these effects.</p> <p>5. Results demonstrate how the capacity to self-organise in ecology depends sensitively on environmental conditions. Spatially correlated modulation of cycling rate by an external driver can also promote self-organisation of phase synchrony.</p>
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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.