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76 results for “Plant-pollinator interactions”
Data from: Floral volatiles structure plant-pollinator interactions in a diverse community across the growing season
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Habitat loss increases seasonal interaction rewiring in plant-pollinator networks
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Geographical variation in the bill-flower fit in a plant-pollinator interaction in western Mexico
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Individual flowering phenology shapes plant-pollinator interactions across ecological scales affecting plant reproduction
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Data from: Influence of plant-pollinator interactions on the assembly of plant and hummingbird communities
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Effects of herbivory and pathogen infection on plant-pollinator interactions
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Plant-pollinator interactions between generalists persist over time and space
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Review of WorldFAIR Agricultural Plant-Pollinator Data Pilot: Plant-flower visitor interactions recorded in 49 sites in Argentina (Buenos Aires: Carlos Casares county) by Marcos Monasterolo (2013-15) and Antonio López Carretero (2016).
<h3>Abstract</h3> <p>Life on Earth is sustained by complex interactions between organisms and their environment. These biotic interactions can be captured in datasets and published digitally. We describe a review process of such an openly accessible digital interactions dataset of known origin, and discuss their outcome. The dataset under review (aka globalbioticinteractions/gonzalez-vaquero2023) has size 1.95MiB and contains 2471 interactions with 1 unique types of associations (e.g., flowersVisitedBy) between 77 primary taxa (e.g., Hirschfeldia incana) and 141 associated taxa (e.g., Palpada). The report includes detailed summaries of interactions data as well as a taxonomic review from multiple perspectives.</p> <p>Please note that the pilot contributors have opted to shared their review and metadata only. This means that data appendices in the data review are not openly available. The data associated are published in the restricted review data publication at </p> <table> <tbody> <tr> <td><strong>filename</strong></td> <td><strong>description</strong></td> </tr> <tr> <td>index.pdf</td> <td>data review report as pdf</td> </tr> <tr> <td>index.docx</td> <td>data review report as docx</td> </tr> <tr> <td>index.md</td> <td>data review report as markdown</td> </tr> <tr> <td>index.html</td> <td>data review report as html</td> </tr> </tbody> </table>
Plant cover and plant-pollinator interactions in Central European grasslands (Poland/Czech Republic)
<p><span>C</span>omplex socio-economic, political and demographic factors have driven the increased conversion of Europe's semi-natural grasslands to intensive pastures. This trend is particularly strong in some of the most biodiverse regions of the continent, such as Central and Eastern Europe. Intensive grazing is known to decrease species diversity and alter the composition of plant and insect communities. Comparatively little is known, however, about how intensive grazing influences plant functional traits related to pollination and the structure of plant-pollinator interactions. In traditional hay meadows and intensive pastures in Central Europe, we contrasted the taxonomic and functional group diversity and composition, the structure of plant-pollinator interactions and the roles of individual species in networks. We found mostly lower taxonomic and functional diversity of plants and insects in intensive pastures, as well as strong compositional differences among the two grassland management types. Intensive pastures were dominated by a single plant with a specialized flower structure that is only accessible to a few pollinator groups. As a result, intensive pastures have lower diversity and specificity of interactions, higher amount of resource overlap, more uniform interaction strength and lower network modularity. These findings stand in contrast to studies in which plants with more generalized flower traits dominated pastures. Our results thus highlight the importance of the functional traits of dominant species in mediating the consequences of intensive pasture management on plant-pollinator networks. These findings could further contribute to strategies aimed at mitigating the impact of intensive grazing on plant and pollinator communities.</p>
Figure 1 in Community-level plant-pollinator interactions in a Palaeotropical montane evergreen oak forest ecosystem
Figure 1. Map of study sites S1–S5 in Laos. See Table 1 for details of the sites.
Capabilities and limitations of using DNA metabarcoding to study plant-pollinator interactions
<p>Many pollinator populations are experiencing declines, emphasizing the need for a better understanding of the complex relationship between bees and flowering plants. Using DNA metabarcoding to describe plant-pollinator interactions eliminates many challenges associated with traditional methods and has the potential to reveal a more comprehensive understanding of foraging behavior and pollinator life history. Here we use DNA metabarcoding of ITS2 and<i> rbcL</i> gene regions to identify plant species present in pollen loads of 404 bees from three habitats in eastern Oregon. Our specific objectives were to 1) determine whether plant species identified using DNA metabarcoding are consistent with plant species identified using observations, 2) compare characterizations of diet breadth derived from foraging observations to those based on plant species assignments obtained using DNA metabarcoding, and 3) compare plant species assignments produced by DNA metabarcoding using a "regional" reference database to those produced using a "local" database. At the three locations, 31-86% of foraging observations were consistent with DNA metabarcoding data, 8-50% of diet breadth characterizations based on observations differed from those based on DNA metabarcoding data, and 22-25% of plant species detected using the regional database were not known to occur in the study area in question. Plant-pollinator networks produced from DNA metabarcoding data had higher sampling completeness and significantly lower specialization than networks based on observations. Here, we examine some strengths and limitations of using DNA metabarcoding to identify plant species present in bee pollen loads, make ecological inferences about foraging behavior, and provide guidance for future research.</p>
Pollen transport networks reveal highly diverse and temporally stable plant-pollinator interactions in an Appalachian floral community
<p>Floral visitation alone has been typically used to characterize plant-pollinator interaction networks even though it ignores differences in the quality of floral visits (e.g. transport of pollen) and thus may overestimate the number and functional importance of pollinating interactions. However, how network structural properties differ between floral visitation and pollen transport networks is not well understood. Furthermore, the strength and frequency of plant-pollinator interactions may vary across fine temporal scales (within a single season) further limiting our predictive understanding of the drivers and consequences of plant-pollinator network structure. Thus, evaluating the structure of pollen transport networks and how they change within a flowering season may help increase our predictive understanding of the ecological consequences of plant-pollinator network structure. Here we compare plant-pollinator network structure using floral visitation and pollen transport data and evaluate within-season variation in pollen transport network structure in a diverse plant-pollinator community. Our results show that pollen transport networks provide a more accurate representation of the diversity of plant-pollinator interactions in a community but that floral visitation and pollen transport networks do not differ in overall network structure. Pollen transport network structure was relatively stable throughout the flowering season despite changes in plan and pollinator species composition. Overall, our study highlights the need to improve our understanding of the drivers of plant-pollinator network structure in order to more fully understand the process that govern the assembly of these interactions in nature.</p>
Pollen transport networks reveal highly diverse and temporally stable plant-pollinator interactions in an Appalachian floral community
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Plant cover and plant-pollinator interactions in Central European grasslands (Poland/Czech Republic)
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Capabilities and limitations of using DNA metabarcoding to study plant-pollinator interactions
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Data from: Plant-pollinator interactions over 120 years: loss of species, co-occurrence, and function
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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.