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95 results for “plant–pollinator network”

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dryad32/100

Data from: Constructing more informative plant-pollinator networks: visitation and pollen deposition networks in a heathland plant community

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publicAug 2015View details →
dryad32/100

Habitat loss increases seasonal interaction rewiring in plant-pollinator networks

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publicAug 2022View details →
dryad32/100

Data from: Temporal variation in plant-pollinator networks from seasonal tropical environments: higher specialization when resources are scarce

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publicMar 2019View details →
dryad32/100

Data from: Promiscuious pollinators - evidence from an Afromontane sunbird-plant pollen transport network

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publicApr 2019View details →
dryad32/100

Data from: Influence of the honeybee and trait similarity on the effect of a non-native plant on pollination and network rewiring

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publicJul 2016View details →
dryad32/100

Data from: Species traits and abundances predict metrics of plant–pollinator network structure, but not pairwise interactions

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publicJun 2015View details →
dryad32/100

Data from: Plant interactions shape pollination networks via nonadditive effects

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publicJan 2019View details →
dryad32/100

Data from: Pollinator cognition in a plant network

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publicMay 2025View details →
dryad32/100

Data from: Beta diversity and specialization in plant-pollinator networks along an elevational gradient

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publicJun 2019View details →
dryad32/100

Data from: Landscape simplification shapes pathogen prevalence in plant-pollinator networks

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publicApr 2020View details →
dryad32/100

Large herbivores transform plant-pollinator networks in an African savanna

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publicJun 2021View details →
dryad32/100

Data for: Effects of short-term managed honey bee deployment in a native ecosystem on wild bee foraging and plant-pollinator networks

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publicJun 2025View details →
dryad32/100

Data from: Local and regional specialization in plant–pollinator networks

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publicOct 2017View details →
dryad32/100

Data from: Plant species roles in pollination networks: an experimental approach

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publicJun 2019View details →
dryad32/100

Data from: Plant provenance affects pollinator network: implications for ecological restoration

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publicMar 2021View details →
dryad32/100

Data from: Species abundance, not diet breadth, drives the persistence of the most linked pollinators as plant-pollinator networks disassemble

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publicDec 2013View details →
dryad32/100

Plant species with the trait of continuous flowering do not hold core roles in a Neotropical lowland plant-pollinating insect network

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publicDec 2021View details →
zenodo28/100

How biased is our perception of plant-pollinator networks? A comparison of visit- and pollen-based representations of the same networks

<p>These are the files (.txt)&nbsp;used to run the analyses in the paper &quot;<em>How biased is our perception of plant-pollinator networks? A comparison of visit- and pollen-based representations of the same networks</em>&quot; by de Manincor et al., 2020, Acta Oecologica, volume 105 (<a href="https://doi.org/10.1016/j.actao.2020.103551">https://doi.org/10.1016/j.actao.2020.103551</a>).</p> <p>The &quot;netwoks_txt.zip&quot; were used to run the motifs and positions analysis and the LBMs (+ alluvial).</p> <p>The &quot;quilt.plot_txt.zip&quot; were used to create&nbsp;the quiltplots (in the Supplementary materials of the paper).</p> <p>The &quot;plant species list&quot; provides information about the presence of plant species in the three sites/regions, and which species have been grouped at the genus level for the comparison between visits (obs) and pollen matrix.</p> <p>&nbsp;</p> <p><strong>ABSTRACT</strong></p> <p>Most plant-pollinator networks are based on observations of contact between an insect and a flower in the field. Despite significant sampling efforts, some links are easier to report, while others remain unobserved. Therefore, visit-based networks represent a subsample of possible interactions in which the ignored part is variable. Pollen is a natural marker of insect visits to flowers. The identification of pollen found on insect bodies can be used as an alternative method to study plant-pollinator interactions, with a potentially lower risk of bias than the observation of visits, since it increases the number of interactions in the network. Here we compare plant-pollinator networks constructed (i) from direct observation of pollinator visits and (ii) from identification of pollen found<br> on the same insects. We focused on three calcareous grasslands in France, with different plant and pollinator species diversities. Since pollen identification always yields richer, more connected networks, we focused our comparisons on sampling bias at equal network connectance. To do so, we first compared network structures with an analysis of latent blocks and motifs. We then compared species roles between both types of networks with an analysis of specialization and species positions within motifs. Our results suggest that the sampling from observations of insect visits does not lead to the construction of a network intrinsically different from the one obtained using pollen found on insect bodies, at least when field sampling strives to be exhaustive. Most of the<br> significant differences are found at the species level, not at the network structure level, with singleton species accounting for a respectable fraction of these differences. Overall, this suggests that recording plant-pollinator interactions from pollinator visit observation does not provide a biased picture of the network structure, regardless of species richness; however, it provided less information on species roles than the pollen-based network.</p>

opencc-by-4.0Apr 2020View details →
dryad28/100

Data from: The temporal dimension in individual-based plant pollination networks

The pollination success of animal-pollinated plants depends on the temporal coupling between flowering schedules and pollinator availability. Within a population, individual plants exhibiting disparate flowering schedules will be exposed to different pollinators when the latter exhibit temporal turnover. The temporal overlap between individual plants and pollinators will result in a turnover of interactions, which can be analyzed through a network approach. We have explored the temporal dynamics of individual-based plant networks resulting from pairwise similarities in pollinator composition. During two flowering seasons, we surveyed the phenology and pollinator fauna of the individual plants from a population of Erysimum mediohispanicum (Brassicaceae). We analyzed the topology of these networks by means of their modularity, clustering, and core–periphery structure. These metrics are related to network functional properties such as cohesion, transitivity and centralization respectively. Afterwards, we analyzed the influence of each pollinator functional group on network topology. We found that network topology varied widely over time as a consequence of the differences in plant phenology and the idiosyncratic and contextual effect of pollinators. When integrating all temporary networks, the network became cohesive (non modular), transitive (locally clusterized), and centralized (core–periphery topology). These topologies could entail important consequences for plant reproduction. Our results highlight the importance of considering the entire flowering season and the necessity of making comprehensive temporal sampling when trying to build reliable interaction networks.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Why are some plant-pollinator networks more nested than others?

1. Empirical studies have found that the mutualistic interactions forming the structure of plant-pollinator networks are typically more nested than expected by chance alone. Additionally, theoretical studies have shown a positive association between the nested structure of mutualistic networks and community persistence. Yet, it has been shown that some plant-pollinator networks may be more nested than others, raising the interesting question of which factors are responsible for such enhanced nested structure. 2. It has been argued that ordered network structures may increase the persistence of ecological communities under less predictable environments. This suggests that nested structures of plant-pollinator networks could be more advantageous under highly seasonal environments. While several studies have investigated the link between nestedness and various environmental variables, unfortunately, there has been no unified answer to validate these predictions. Here, we move from the problem of describing network structures to the problem of comparing network structures. We develop comparative statistics, and apply them to investigate the association between the nested structure of 59 plant-pollinator networks and the temperature seasonality present in their locations. 3. We demonstrate that higher levels of nestedness are associated with a higher temperature seasonality. We show that the previous lack of agreement came from an extended practice of using standardized measures of nestedness that cannot be compared across different networks. 4. Importantly, our observations complement theory showing that more nested network structures can increase the range of environmental conditions compatible with species coexistence in mutualistic systems, also known as structural stability. This increase in nestedness should be more advantageous and occur more often in locations subject to random environmental perturbations, which could be driven by highly changing or seasonal environments. This synthesis of theory and observations could prove relevant for a better understanding of the ecological processes driving the assembly and persistence of ecological communities.

opencc-zeroDec 2016View details →

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Allen Brain Atlas

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DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
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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.

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neuroscienceopenPublished datasets are available on demand over the internet.
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