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62 results for “trait network”
Individual-based plant-pollinator networks are structured by phenotypic and microsite plant traits
<p>Dataset associated with the manuscript "Individual-based plant-pollinator networks are structured by phenotypic and microsite plant traits" (Arroyo-Correa et al. 2020), including plant-pollinator interactions, individual plant attributes and the plant polygon map created with drone flights. </p>
Fast-slow traits predict competition network structure and its response to resources and enemies
<p>Plants interact in complex networks but how network structure depends on resources, natural enemies, and species resource-use strategy remains poorly understood. Here, we quantified competition networks among 18 plants varying in fast-slow strategy, by testing how increased nutrient availability and reduced foliar pathogens affected intra- and inter-specific interactions. Our results show that nitrogen and pathogens altered several aspects of network structure, often in unexpected ways due to fast and slow-growing species responding differently. Nitrogen addition increased competition asymmetry in slow-growing networks, as expected, but decreased it in fast-growing networks. Pathogen reduction made networks more even and less skewed because pathogens targeted weaker competitors. Surprisingly, pathogens and nitrogen dampened each other's effect. Our results show that plant growth strategy is key to understanding how competition responds to resources and enemies, a prediction from classic theories that has rarely been tested by linking functional traits to competition networks.</p>
Dataset of pollinator functional traits and interaction networks in neotropical mangroves: effects of patch size and surrounding land use
<p>This is the dataset of the manuscript entitled "Pollinator functional traits and interaction networks in neotropical mangroves: effects of patch size and surrounding land use", which was submitted for publication. The dataset include the functional traits of 162 insect pollinator species and 315 interactions with the mangrove species <em>Avicennia germinans, Conocarpus erectus, Laguncularia racemosa,</em> and <em>Rhizophora</em> <em>mangle</em>. The manuscript evaluates the effects of mangrove patch size and surrounding land use on pollinator functional diversity and plant-pollinator interactions in seven mangrove patches from the Colombian Caribbean region. Data variables are pollinator order, family, species, functional traits (pollinator guilds, body size, feeding preference, sociality, and nesting site) and frequency, interacting mangrove species, mangrove patch name, coordinates and size (ha), surrounding land use areas (urban areas, croplands, conserved dry forest, degraded vegetation areas, beach and water) and landscape diversity (Shannon H').</p>
Multilevel selection on social network traits differs between sexes in experimental populations of forked fungus beetles
<p>Both individual and group behavior can influence individual fitness, but multilevel selection is rarely quantified on social behaviors. Social networks provide a unique opportunity to study multilevel selection on social behaviors, as they describe complex social traits and patterns of interaction at both the individual and group levels. In this study, we used contextual analysis to measure the consequences of both individual network position and group network structure on individual fitness in experimental populations of forked fungus beetles (<em>Bolitotherus</em> <em>cornutus</em>) with two different resource distributions. We found that males with high individual connectivity (strength) and centrality (betweenness) had higher mating success. However, group network structure did not influence their mating success. Conversely, we found that individual network position had no effect on female reproductive success but that females in populations with many social interactions experienced lower reproductive success. The strength of individual-level selection in males and group-level selection in females intensified when resources were clumped together, showing that habitat structure influences multilevel selection. Individual and emergent group social behavior both influence variation in components of individual fitness but impact male mating success and female reproductive success differently, setting up intersexual conflicts over patterns of social interactions at multiple levels. </p>
Code for: A century of wild bee sampling: historical data and neural network analysis reveal ecological traits associated with species loss
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Data from: Trait networks reveal turnover in Caribbean corals and changes in community resilience through the Cenozoic
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Fast-slow traits predict competition network structure and its response to resources and enemies
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Multilevel selection on social network traits differs between sexes in experimental populations of forked fungus beetles
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Trait matching affects the probability of nectar robbing in plant-pollinator networks
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Measurement of Plant Traits on Hylocomium splendens Samples Collected at Sites within the Bonanza Creek LTER Regional Site Network in Interior Alaska, 2019
This dataset contains measurements of plant traits on Hylocomium splendens species collected at a subset of sites from the Regional Site Network (n = 26). The two species, Hylocomium splendens and Vaccinium uliginosum, are the two most ubiquitous nonvascular and vascular species at these sites. The traits measured on these species relate to the fire ecology of each species. Traits measured for Hylocomium splendens include: length, width, aspect ratio (width/length), specific leaf area (SLA) and moisture content % at maximum water retention capacity. There is a corresponding dataset with trait data for Vaccinium uliginosum.
Measurement of Plant Traits on Vaccinium uliginosum Samples Collected at Sites within the Bonanza Creek LTER Regional Site Network in Interior Alaska, 2019
This dataset contains measurements of plant traits on Vaccinium uliginosum species collected at a subset of sites from the Regional Site Network (n = 26). The two species, Hylocomium splendens and Vaccinium uliginosum, are the two most ubiquitous nonvascular and vascular species at these sites. The traits measured on these species relate to the fire ecology of each species. Traits measured for Vaccinium uliginosum include: rhizome depth, number of rhizomes, plant height, moisture content % of aboveground tissues, aboveground tissue ratios and dry mass of leaves. There is a corresponding dataset with trait data for Hylocomium splendens.
Data used in 'The joint role of coevolutionary selection and network structure in shaping trait complementarity in mutualisms' manuscript
<p>The files in this repository correspond to the raw and processed data described in the 'The joint role of coevolutionary selection and network structure in shaping trait complementarity in mutualisms' manuscript.</p> <p>Once expanded, the zip files contains two directories and one documentation file, named data_documentation. Please refer to this file for a thorough description of the organization and contents of raw and processed data files.</p>
Data from: Flowering overlap and floral trait similarity help explain the structure of pollination network
<p><span>Co-flowering communities are usually characterized by high plant generalization but knowledge of the underlying factors leading to high levels of generalization and pollinator sharing, and how these may contribute to network structure is still limited. </span>Flowering phenology and floral trait similarity are considered among the most important factors determining plant generalization and pollinator sharing. However, these have been evaluated independently even though they can act in concert with each other. Moreover, the importance of flowering phenology and floral similarity, via their effects on plant generalization, in the structure of plant–pollinator networks have been scarcely studied. Here, we aim to evaluate the effect of flowering phenology and floral similarity in mediating the degree of pollinator sharing and plant generalization in two coastal communities and uncover their importance as drivers of plant–pollinator network structure.</p> <p>We recorded flower production per species, as well as the identity and frequency of floral visitors along the entire flowering season. We estimated the degree of flowering overlap, the degree of floral similarity (using floral traits associated with size and color), and the degree of pollinator sharing among plant species within both communities.</p> <p>Structural equation models (SEM) showed a positive effect of flowering overlap on pollinator sharing and plant generalization. Pollinator sharing and plant generalization positively affected network nestedness. Furthermore, SEM showed a direct positive effect of flowering overlap on network modularity. The SEM analyses also revealed a significant interaction effect of floral similarity and flowering overlap on pollinator sharing, with consequences for network nestedness in one community.</p> <p><span>Our results highlight the importance of integrating multiple axes of differentiation such as flowering phenology and floral similarity into our understanding of the drivers of plant–pollinator network structure.</span></p>
Trait Networks: Assessing Marine Community Resilience and Extinction Recovery
<p>Data and R code for Trait networks. From the paper:</p> <p> </p> <p><strong>Trait Networks: Assessing Marine Community Resilience and Extinction Recovery</strong></p> <p><strong>Summary</strong></p> <p><strong>Extensive global habitat degradation and the climate crisis are tipping the biosphere towards a “sixth” mass extinction and marine communities will not be spared from this catastrophic loss of biodiversity. The resilience of marine communities following large-scale disturbances or extinction events is mediated by the life-history traits of species and their interplay within communities. The presence and abundance of traits in communities provide proxies of function, but whether the breakdown of their associations with species loss can delineate functional loss remains unclear. Here, we propose that relationships between traits within trait networks provide unique perspectives on the importance of specific traits, trait combinations, and their role in supporting the stability of communities, whilst allowing quantification of the vulnerability of both past deep time and present-day marine communities.</strong></p>
melian009/Mispark: Preliminary analysis mutualistic networks in space, rarefaction, sierra size and sampling individuals, species, and traits
<p>Mutualistic networks in space, morphological traits and colors, or how to put all together to understand rare and common species in rapidly changing landscapes</p>
Mapping trait versus species turnover reveals spatiotemporal variation in functional redundancy and network robustness in a plant‐pollinator community
<p>1. Functional overlap among species (redundancy) is considered important in shaping competitive and mutualistic interactions that determine how communities respond to environmental change. Most studies view functional redundancy as static, yet traits within species – which ultimately shape functional redundancy – can vary over seasonal or spatial gradients. We therefore have limited understanding of how trait turnover within and between species could lead to changes in functional redundancy or how loss of traits could differentially impact mutualistic interactions depending on where and when the interactions occur in space and time.</p> <p>2. Using an Arctic bumblebee community as a case study, and 1,277 individual measures from 14 species over three annual seasons, we quantified how inter- and intraspecific body-size turnover compared to species turnover with elevation and over the season. Coupling every individual and their trait with a plant visitation, we investigated how grouping individuals by a morphological trait or by species identity altered our assessment of network structure and how this differed in space and time. Finally, we tested how the sensitivity of the network in space and time differed when simulating extinction of nodes representing either morphological trait similarity or traditional species groups. This allowed us to explore the degree to which trait-based groups increase or decrease interaction redundancy relative to species-based nodes.</p> <p>3. We found that i) groups of taxonomically and morphologically similar bees turn over in space and time independently from each other, with trait turnover being larger over the season; ii) networks composed of nodes representing species versus morphologically similar bees were structured differently; and iii) simulated loss of bee trait groups caused faster coextinction of bumblebee species and flowering plants than when bee taxonomic groups were lost. Crucially, the magnitude of these effects varied in space and time, highlighting the importance of considering spatiotemporal context when studying the relative importance of taxonomic and trait contributions to interaction network architecture.</p> <p>4. Our finding that functional redundancy varies spatiotemporally demonstrates how considering the traits of individuals within networks is needed to understand the impacts of environmental variation and extinction on ecosystem functioning and resilience.</p>
Linking trait network parameters with plant growth across light gradients and seasons
<p>1. Reduced light availability induced by eutrophication has dramatically affected the growth of submerged macrophytes and caused their rapid decline globally in lakes. Functional traits have usually been used to predict ecological processes and explain plant adaptation. Trait networks, which are constructed from a series of nodes (traits) and edges (trait-trait correlations), can reveal complex relationships among traits. Plant traits belonging to different organs are considered relevant for overall plant performance. Therefore, variation in trait network topology at the whole-plant level can better reflect plant adaptation and response to environments than traditional methods, but the mechanisms underlying the decline of plants from a trait network perspective are not well understood.</p> <p>2. In this study, based on a one-year manipulation experiment for <em>Potamogeton maackianus</em> cultured with four levels of light intensity, we constructed trait networks from 20 traits belonging to different organs.</p> <p>3. Our results showed that trait network connectivity decreases in harsh environments, probably due to increased trait modules responding independently to stress. Network connectivity was positively related to the plant relative growth rate (RGR), as high trait connectivity and coordination should be beneficial for plants to acquire and transport resources efficiently across the whole plant. Additionally, we found that specific stem length, leaf:root mass ratios, and leaf total nonstructural carbohydrates were hub traits with high connectivity. These hub traits expressed high phenotypic plasticity, had close links with plant growth, and consistently held their higher importance within the network across light gradients or seasons.</p> <p>4. We found that low phenotypic integration in stressful environments may constrain plant growth, which can provide important implications for understanding plant adaptation strategies to low-light stress and even predicting community dynamics in the context of global environmental change.</p>
Supplementary material for: Accounting for within-species variation in continuous trait evolution on a phylogenetic network
<p>This supplementary material contains data and scripts for (1) a simulation study assessing the performance of our phylogenetic comparative method on trait data generated using an actual species network, and (2) a comparative analysis of how <em>Polemonium </em>leaflet size covaries with geographical predictors, assuming either a reticulate or non-reticulate time-calibrated phylogeny, accounting for or ignoring within-species variation.</p> <p>There are two top-level folders:</p> <p>(1) simulations: contains scripts to replicate the simulation study and associated figures in the subfolder "scripts", and results from the simulations in the subfolder "data".</p> <p>(2) polemonium: contains uncalibrated/calibrated species phylogenies (.tre), gene trees (.t, .tre) and genetic distance estimates (.csv) used for calibration, morphological and geographical data for <em>Polemonium </em>(.csv), and model estimates (.csv) in the subfolder "data"; and scripts to do calibration, preprocess the trait data, fit models and save estimates, and recreate figures from the article in the subfolder "scripts".</p> <p>The archive and each top-level folder contain their own README file with more detailed information.</p>
Data from: Flowering overlap and floral trait similarity help explain the structure of pollination network
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Data from: Plant traits and tissue stoichiometry explain nutrient transfer in common arbuscular mycorrhizal networks of temperate grasslands
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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.