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107 results for “interaction patterns”
Data from: Evolutionary history shapes patterns of mutualistic benefit in Acacia-rhizobial interactions
The ecological and evolutionary factors that drive the emergence and maintenance of variation in mutualistic benefit (i.e. the benefits provided by one partner to another) in mutualistic symbioses are not well understood. In this study we evaluated the role that host and symbiont phylogeny might play in determining patterns of mutualistic benefit (host response) for interactions among nine species of Acacia and 31 strains of nitrogen-fixing rhizobial bacteria. Using phylogenetic comparative methods we compared patterns of variation in mutualistic benefit to rhizobial phylogenies constructed from housekeeping and symbiosis genes; and a multi-gene host phylogeny. We found widespread genotype-by-genotype variation in patterns of plant growth. A relatively large component of this variation (21-28%) was strongly influenced by the interacting evolutionary histories of both partners, such that phylogenetically similar host species had similar growth responses when inoculated with phylogenetically similar rhizobia. We also found a relatively large non-phylogenetic effect for the average mutualistic benefit provided by rhizobia to plants, such that phylogenetic relatedness did not predict the overall benefit provided by rhizobia across all hosts. We conclude that phylogenetic relatedness should frequently predict patterns of mutualistic benefit in acacia-rhizobial mutualistic interactions; but that some mutualistic traits also evolve independently of the phylogenies.
Data from: coexistence across space and time: social-ecological patterns within a decade of human-coyote interactions in San Francisco
<p><span>Global change is increasing the frequency and severity of human-wildlife interactions by pushing people and wildlife into increasingly resource-limited shared spaces. To understand the dynamics of human-wildlife interactions, and what may constitute human-wildlife coexistence in the Anthropocene, there is a critical need to explore the spatial, temporal, sociocultural, and ecological variables that contribute to human-wildlife conflicts in urban areas.</span></p> <p><span>Due to their opportunistic foraging and behavioral flexibility, coyotes (<em>Canis latrans</em>) frequently interact with people in urban environments. San Francisco, California, USA hosts a very high density of coyotes, making it an excellent region for analyzing urban human-coyote interactions and attitudes toward coyotes over time and space.</span></p> <p><span>We used a community-curated long-term data source from San Francisco Animal Care and Control to summarize a decade of coyote sightings and human-coyote interactions in San Francisco and to characterize spatiotemporal patterns of attitudes and interaction types in relation to housing density, socioeconomics, pollution and human vulnerability metrics, and green space availability.</span></p> <p><span>We found that human-coyote conflict reports have been significantly increasing over the past 5 years and that there were more conflicts during the coyote pup-rearing season (April-June), the dry season (June-September), and the COVID-19 pandemic. Conflict reports were also more likely to involve dogs and occur inside of parks, despite more overall sightings occurring outside of parks. Generalized linear mixed models revealed that conflicts were more likely to occur in places with higher vegetation greenness and median income. Meanwhile reported coyote boldness, hazing, and human attitudes toward coyotes were also correlated with pollution burden and human population vulnerability indices.</span></p> <p><span><em>Synthesis and applications</em>: </span><span>Our results provide compelling evidence suggesting that human-coyote conflicts are intimately associated with social-ecological heterogeneities and time, emphasizing that the road to coexistence will require socially-informed strategies. Additional long-term research articulating how the social-ecological drivers of conflict (e.g., human food subsidies, interactions with domestic species, climate-induced droughts, socioeconomic disparities, etc.) change over time will be essential in building adaptive management efforts that effectively mitigate future conflicts from occurring. </span></p>
Wildland-urban interface fire dynamics simulator input files for pyric tree spatial patterning interactions in historical and contemporary mixed conifer forests, California, USA
<p><span>Tree spatial patterns in dry coniferous forests of the western US, and analogous ecosystems globally, were historically aggregated, comprising a mixture of single trees and groups of trees. Modern forests, in contrast, are generally more homogeneous and overstocked than their historical counterparts. As these modern forests lack regular fire, pattern formation and maintenance is generally attributed to fire. Accordingly, fires in modern forests may not yield historically analogous patterns. However, direct observations on how selective tree mortality among pre-existing forest structure shapes tree spatial patterns is limited. In this study, we (1) simulated fires in historical and contemporary counterpart plots in a Sierra Nevadan mixed-conifer forest, (2) estimated tree mortality, and (3) examined tree spatial patterns of live trees before and after fire, and of fire-killed trees. Tree mortality in the historical period was clustered and density-dependent, because trees were aggregated and segregated by tree size before fire. Thus, fires maintained an aggregated distribution of tree groups. Tree mortality in the contemporary period was widespread, except for dispersed large trees, because most trees were a part of large, interconnected tree groups. Thus, post-fire tree patterns were more uniform and devoid of moderately sized tree groups. Post-fire tree patterns in the historical period, unlike the contemporary period, were within the historical range of variability identified for the western US. This divergence suggests that decades of forest dynamics without significant disturbances has altered the historical means of pyric pattern formation. Our results suggest that ecological silvicultural treatments, such as forest restoration thinnings, which emulate qualities of historical forests may facilitate the reintroduction of fire as a means to reinforce forest structural heterogeneity.</span></p>
Script and data used in: A lot of convergence, a bit of divergence: environment and interspecific interactions shape body color patterns in Lissotriton newts
<p>Coexistence with related species poses evolutionary challenges to which populations may react in diverse ways. When exposed to similar environments, sympatric populations of two species may adopt similar phenotypic trait values. However, selection may also favor trait divergence as a way to reduce competition for resources or mates. The characteristics of external body parts, such as coloration and external morphology, are involved to varying degrees in intraspecific signaling as well as in the adaptation to the environment, and consequently may be diversely affected by interspecific interactions in sympatry. Here, we studied the effect of sympatry on various color and morphological traits in males and females of two related newt species <i>Lissotriton helveticus</i> and <i>L. vulgaris</i>. Importantly, we did not only estimate how raw trait differences between species respond to sympatry, but also the marginal responses after controlling for environmental variation. We found that dorsal and caudal coloration converged in sympatry, likely reflecting their role in adaptation to local environments, especially concealment from predators. In contrast, aspects of male and female ventral coloration, which harbours sexual signals in both species, diverged in sympatry. This divergence may reduce opportunities for interspecific sexual interactions and the associated loss of energy, suggesting reproductive character displacement (RCD). Our study emphasizes the contrasting patterns of traits involved in different functions and calls for the need to consider this diversity in evolutionary studies.</p>
Github Repository for "Social interactions generate complex selection patterns in virtual worlds"
<p>Repository for <br><strong>"Social interactions generate complex selection patterns in virtual worlds"</strong><br><em>Francesca Santostefano, Maxime Fraser Franco, Pierre Olivier Montiglio</em><br>Journal of Evolutionary Biology 2024</p>
Exploring agent interaction patterns in the comment sections of fake and real news
<p>The code and dataset provided for the paper <em>"Exploring agent interaction patterns in the comment sections of fake and real news"</em> contain all information about fake and real news, as well as the complete code for constructing comment networks and user network experiments.</p>
Exploring agent interaction patterns in the comment sections of fake and real news
<p>The code and dataset provided for the paper <em>"Exploring agent interaction patterns in the comment sections of fake and real news"</em> contain all information about fake and real news, as well as the complete code for constructing comment networks and user network experiments.</p>
Detecting microservice anti-patterns using interactive service call graphs: Effort Assessment
<p>Supplemental Figures for <em>Detecting microservice anti-patterns using interactive service call graphs: Effort Assessment</em></p>
Detecting microservice anti-patterns using interactive service call graphs: Effort Assessment
<p>Case Study Results for <em>Detecting microservice anti-patterns using interactive service call graphs: Effort Assessment</em></p>
Habitat traits and predation interact to drive abundance and body size patterns in macroalgae associated fauna
<p>Habitat-forming organisms provide three-dimensional structure that supports abundant and diverse communities. Variation in the morphological traits of habitat-formers will therefore likely influence how they facilitate associated communities, either via food and habitat provisioning, or by altering predator-prey interactions. These mechanisms, however, are typically studied in isolation and thus we know little of how they interact to affect associated communities. In response to this, we used naturally occurring morphological variability in the alga <em>Sargassum</em> <em>vestitum</em> to create habitat units of distinct morphotypes to test whether variation in the morphological traits (frond size and thallus size) of <em>S. vestitum</em>, or the interaction between these traits, affect their value as habitat for associated communities in the presence and absence of predation. We found morphological traits did not interact, instead having independent effects on epifauna that were negligible in the absence of predation. However, when predators were present, habitat units with large fronds were found to host significantly lower epifaunal abundances than other morphotypes, suggesting large frond alga provided low-value refuge from predators. The presence of predators also influenced the size structure of epifaunal communities from habitat units of differing frond size suggesting the refuge value of <em>S. vestitum </em>was also related to epifauna body size. This suggests that habitat-formers may chiefly structure associated communities by mediating size-selective predation, and not through habitat-provisioning. Furthermore, these results also highlight that habitat traits cannot be considered in isolation, for their interaction with biotic processes can have significant implications for associated communities.</p>
A Cross-sectional Study on IBS Subtypes, Chinese Medicine Pattern and Host-gut Microbiota Metabolic Interactions
ClinicalTrials.gov study NCT02822677. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Activity patterns at the Arctic Circle: nocturnal eagle owls and interspecific interactions during continuous midsummer daylight
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Data from: coexistence across space and time: social-ecological patterns within a decade of human-coyote interactions in San Francisco
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Data from: Individual differences in boldness influence patterns of social interactions and the transmission of cuticular bacteria among group-mates
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Data from: Intraspecific interactions affect the spatial pattern of a dominant shrub in a semi-arid scrubland: a prospective approach
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Script and data used in: A lot of convergence, a bit of divergence: environment and interspecific interactions shape body color patterns in Lissotriton newts
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Data from: Na+/K+ pump interacts with the h-current to control bursting activity in central pattern generator neurons of leeches
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Habitat traits and predation interact to drive abundance and body size patterns in macroalgae associated fauna
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Wildland-urban interface fire dynamics simulator input files for pyric tree spatial patterning interactions in historical and contemporary mixed conifer forests, California, USA
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Tree-to-tree interactions slow down Himalayan treeline shifts as inferred from tree spatial patterns
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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.