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68 results for “multidimensional data”
Data from: Multidimensionality in host manipulation mimicked by serotonin injection
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Data from: Climate and soil nutrients differentially drive multidimensional fine root traits in ectomycorrhizal‐dominated alpine coniferous forests
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Data for: New insights into multi-component atmospheric wet deposition across China: A multidimensional analysis
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Estimating phylogenies from shape and similar multidimensional data: why it is not reliable
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Data from: The complexity of social complexity: a quantitative multidimensional approach for studies on social organisation
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Data from: Discrimination of signal carotenoid content using multidimensional chromatic information
Red, orange and yellow carotenoid-based ornaments, which are widely used as sexual signals in many birds, fish and reptiles, are known to exhibit multidimensional chromatic variation as a result of both the concentration and relative proportions of different constituent carotenoids with differing spectral properties. This is thought to reflect intrinsic variation in signaller quality, making it a useful basis for female choice. However, whether females are able to discriminate relevant variation in carotenoid concentration and/or composition independently of each other, and of other phenotypic or behaviour traits, and if so, how this mediates their choice, is poorly understood. Here, female three-spined sticklebacks (Gasterosteus aculeatus) were presented with computer-animated courting males that varied exclusively in the appearance of their carotenoid-based colouration; specifically, each male's signal provided a perceptual match for carotenoid colouration expressed by live males with known underlying carotenoid content, thereby providing a biologically-relevant signal while precluding confounding traits influencing female choice. Females were able to discriminate between prospective mates solely on the basis of perceived variation in the allocation of carotenoids to males' sexual signals, and exhibited a strong preference for males with colouration indicative of higher concentrations of carotenoids in their signal, rather than in response to perceived variation in the relative proportion of constituent carotenoids. This has important implications for our understanding male signalling strategies and the information content of carotenoid-based sexual signals.
Data from: Multidimensional environmental predictors of variation in avian forest and city life histories
Optimal life-history decisions are shaped by prevailing environmental conditions. In the context of urbanization, environmental differences between urban and rural areas are known to vary across a multitude of axes. The relative roles of specific axes and whether they explain variation in avian life histories between forest and city populations have not often been studied empirically. This study comprehensively views urbanization from a multidimensional environmental perspective. For each of 13 nest box plots of a common passerine bird (the great tit Parus major), we quantified temperature, humidity, light, and noise, and subsequently assessed direct versus indirect effects of each environmental axis on components of annual reproductive success by applying a path analytical framework. All quantified environmental axes, and life-history traits, showed substantial repeatable variation between the plots. Forest and city plots differed tremendously in temperature, humidity, and light. We were able to attribute among-population variation in life history to variation in these environmental effects. However, the simple dichotomy between forest and city populations explained the data best. Birds in the city laid earlier, which indirectly resulted in smaller clutches, and their offspring fledged in poorer condition, compared to conspecifics in forests. Those differences persisted after controlling for temperature, humidity, light, and noise, which implies that they were shaped by other factors than the ones quantified in this study. In summary, our findings question the common interpretation that differences between forest and city areas relate to specific environmental axes that covary with urbanization, especially in in lieu of quantitative measurements.
Data from: Quantifying nutritional trade-offs across multidimensional performance landscapes
Animals make feeding decisions to simultaneously maximise fitness traits that often require different nutrients. Recent quantitative methods have been developed to characterise these nutritional trade-offs from performance landscapes on which traits are mapped on a nutrient space defined by two nutrients. This limitation constrains the broad applications of previous methods to more complex data, and a generalised framework is needed. Here, we build upon previous methods and introduce a generalised vector-based approach – the Vector of Position approach – to study nutritional trade-offs in complex multi-dimensional spaces. The Vector of Position Approach allows the estimate of performance variations across entire landscapes (peaks and valleys), and compare these variations between animals. Using landmark published datasets on lifespan and reproduction landscapes, we illustrate how our approach gives accurate quantifications of nutritional trade-offs in two- and three-dimensional spaces, and can bring new insights into the underlying nutritional differences in trait expression between species. The Vector of Position Approach provides a generalised framework for investigating nutritional differences in life-history traits expression within and between species, an essential step for the development of comparative research on the evolution of animal nutritional strategies.
Data from: Biodiversity as a multidimensional construct: a review, framework and case study of herbivory's impact on plant biodiversity
Biodiversity is inherently multidimensional, encompassing taxonomic, functional, phylogenetic, genetic, landscape and many other elements of variability of life on the Earth. However, this fundamental principle of multidimensionality is rarely applied in research aimed at understanding biodiversity's value to ecosystem functions and the services they provide. This oversight means that our current understanding of the ecological and environmental consequences of biodiversity loss is limited primarily to what unidimensional studies have revealed. To address this issue, we review the literature, develop a conceptual framework for multidimensional biodiversity research based on this review and provide a case study to explore the framework. Our case study specifically examines how herbivory by whitetail deer (Odocoileus virginianus) alters the multidimensional influence of biodiversity on understory plant cover at Black Rock Forest, New York. Using three biodiversity dimensions (taxonomic, functional and phylogenetic diversity) to explore our framework, we found that herbivory alters biodiversity's multidimensional influence on plant cover; an effect not observable through a unidimensional approach. Although our review, framework and case study illustrate the advantages of multidimensional over unidimensional approaches, they also illustrate the statistical and empirical challenges such work entails. Meeting these challenges, however, where data and resources permit, will be important if we are to better understand and manage the consequences we face as biodiversity continues to decline in the foreseeable future.
Data from: The interaction between genotype and juvenile and adult density environment in shaping multidimensional reaction norms of behaviour
1. Both juvenile (Ej) and adult (Ea) environment can alter developmental trajectories, independently or interactively (as environment by environment interaction; Ej×Ea), to shape behaviour in later life. However, within a population, the developmental response of behaviours to environments can vary among genotypes (G×E×E, multidimensional behavioural plasticity). 2. Here we use a full-sibling, split-brood experimental design and random regression model to study genetic variation in behavioural plasticity across juvenile/adult density conditions in four behavioural traits of male water striders Tenagogerris euphrosyne: exploration, dispersal, same-sex sexual behaviour and remounting attempts. 3. Our results showed that both juvenile and adult density affected the expression of behaviours, and that there was modest level of genetic variation in all behaviour traits. In contrast, there was little genetic variation in behavioural plasticity across density conditions at different life stages (G×Ej, G×Ea or G×Ej×Ea) observed in all traits other than same-sex sexual behaviour. 4. We suggest that experiences at different life stages can interact to affect behavioural expression, but the magnitude of G×Ej, G×Ea or G×Ej×Ea interactions depends on the specific traits. 5. Lack of genetic variation in multidimensional behavioural plasticity may be due to strong selection across environments, high prevalence of environmental heterogeneity and/or modest genetic variance. 6. Our results highlight the complex ways in which plasticity shapes the behaviours and life-histories of organisms.
Data from: Multidimensional (co)evolutionary stability
The complexity of biotic and abiotic environmental conditions is such that the fitness of individuals is likely to depend on multiple traits. Using a synthetic framework of phenotypic evolution that draws from adaptive dynamics and quantitative genetics approaches, we explore how the number of traits under selection influences convergence stability and evolutionary stability in models for coevolution in multidimensional phenotype spaces. Our results allow us to identify three different effects of trait dimensionality on stability. First are (i) a "combinatorial effect": without epistasis and genetic correlations, a higher number of trait dimensions offers more opportunities for equilibria to be unstable; and (ii) epistatic interactions, that is, fitness interactions between traits, which tend to destabilize evolutionary equilibria; this effect increases with the dimension of phenotype space. These first two effects influence both convergence stability and evolutionary stability, while (iii) genetic correlations (due, e.g., to pleiotropy or linkage disequilibrium) can affect only convergence stability. We illustrate the general prediction that increased dimensionality destabilizes evolutionary equilibria using examples drawn from well-studied classical models of frequency-dependent competition for resources, adaptation to a spatially heterogeneous environment, and antagonistic coevolution. In addition, our analyses show that increased dimensionality can favor diversification, for example, in the form of local adaptation, as well as evolutionary escape.
The multidimensional (and contrasting) effects of environmental warming on a group of montane tropical lizards: Lizard and plant data
<p>1. Mountains are cradles for biodiversity and crucibles for climate-driven species loss, particularly for tropical ectotherms. Constriction on activity and amplified heat stress are two key sources of warming-driven vulnerability in tropical montane ectotherms. These threats, however, might be counterbalanced if rising temperatures also release organisms from limits on activity induced by cold stress.</p> <p>2. We used biophysical modeling to estimate activity patterns and thermal stress under warming in a group of summit-dwelling <i>Anolis </i>lizards (<i>A. armouri </i>and <i>A. shrevei</i>) endemic to the Caribbean island of Hispaniola. Activity is currently constrained by the prevalence of temperatures too cold for activity. Under warming, our models predict expanded hours of potential activity and reduced cold stress, especially under a high emission scenario. Crucially, release from cold stress does not come at the expense of heightened exposure to heat stress. This result arises from a steep mismatch between these species' warm-adapted ecology and the surprisingly cold environments they occupy.</p> <p>3. Yet, resilience in some dimensions belies vulnerability along others, particularly with regards to critical macrohabitat. We capitalized on a long-term monitoring dataset to predict forest distributions under warming. Our models predict upslope shifts in montane cloud forests that may constrict the high-elevation pine forests to which these lizards are inexorably linked. Warming-driven macrohabitat loss can 'pin' the montane endemics into progressively shrinking ranges, especially since a rising cloud forest also facilitates upslope transport of a close relative, <i>A. cybotes</i> (a species associated with broadleaf forests).</p> <p>4. Many tropical ectotherms (including these anoles) are adapted to forest edges, a feature often associated with a relatively warm-adapted ecophysiology. When such species are also found in cool environments, such as those found on mountaintops, warming-amplified thermal stress is surprisingly limited. Therefore, the direct effects of warming on tropical ectotherms are quite broad, and can even include potential benefits to fitness-based activities.</p> <p>5. Rising temperatures may often present a dual-edged sword: warming simultaneously releases these organisms from constraints on activity while exposing them to other threats. Whether due to the direct or indirect effects of climate warming, exceptional vulnerability may indeed reside where biodiversity is highest.</p>
Data from: GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown roots systems
Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes.
Data from: Biodiversity as a multidimensional construct: a review, framework and case study of herbivory's impact on plant biodiversity
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Data from: The interaction between genotype and juvenile and adult density environment in shaping multidimensional reaction norms of behaviour
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Data from: Multidimensional ecological analyses demonstrate how interactions between functional traits shape fitness and life history strategies
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Data from: Multidimensional environmental predictors of variation in avian forest and city life histories
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Data from: GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown roots systems
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Data from: Multidimensional analyses of physical performance reveal a size dependent trade-off between suites of traits
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Data from: Diversity in form and function: vertical distribution of soil fauna mediates multidimensional trait variation
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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.