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76 results for “Plant-pollinator interaction”
Seasonal trajectories of plant-pollinator interaction networks differ following phenological mismatches along an urbanization gradient - Data and code
<p>Dataset and code used in the article "Seasonal trajectories of plant-pollinator interaction networks differ following phenological mismatches along an urbanization gradient", by A. Fisogni et al., published in Landscape and Urban Planning (2022, 226:104512, <a href="https://www.sciencedirect.com/science/article/pii/S016920462200161X?via%3Dihub">https://doi.org/10.1016/j.landurbplan.2022.104512</a>)</p>
Warming of experimental plant-pollinator communities advances phenologies, alters traits, reduces interactions, and depresses reproduction
<p>This is the data set supporting the analyses performed in the article entitled "Warming of experimental plant-pollinator communities advances phenologies, alters traits, reduces interactions, and depresses reproduction", by Natasha de Manincor, Alessandro Fisogni, and Nicole E. Rafferty, published in Ecology Letters (2023, 26:323-334, <a href="https://doi.org/10.1111/ele.14158">https://doi.org/10.1111/ele.14158</a>).</p> <p>The experiment has been performed in the greenhouse facilities at the University of California, Riverside, in 2021.</p> <p>The two treatments analyzed are ambient vs warmed (+ 4 °C), the focal pollinator species is <em>Osmia lignaria</em>, and the three focal plant species are <em>Collinsia heterophylla</em>, <em>Nemophila menziesii</em>, and <em>Phacelia campanularia</em>.</p> <p>Data are tab separated .txt files.</p>
Data and code corresponding to the article "Interaction network structure explains species temporal persistence in empirical plant-pollinator communities"
<p>This upload contains the Datasets and code to generate the results of the article "Interaction network structure explains species temporal persistence in empirical plant-pollinator communities".</p><p>The database comprises two files containing the abundances of plants and pollinators, and one containing the interaction networks among plants and pollinators. </p><p>The code folder contains the code to generate the results, and to generate the figures of the manuscript. </p>
Effects of different types of low-intensity management on plant-pollinator interactions in Estonian grasslands
<p>In the face of global pollinator decline, extensively-managed grasslands play an important role in supporting stable pollinator communities. However, different types of extensive management may promote particular plant species and thus particular functional traits. As the functional traits of flowering plant species (e.g. flower size and shape) in a habitat determine the identity and frequency of pollinator visitors, they can also influence the structures of plant-pollinator interaction networks. The aim of this study was to examine how the type of low-intensity traditional management influences plant and pollinator composition, the structure of plant-pollinator interactions, and their mediation by floral and insect functional traits. Specifically, we compared mown wooded meadows to grazed alvar pastures in western Estonia. We found that both management types fostered equal diversity of plants and pollinators, and overlapping, though still distinct, plant and pollinator compositions. Wooded meadows had significantly higher connectance and specialisation, while alvar pastures achieved higher Shannon diversity at a standardised sampling of interactions. Pollinators with small body sizes and short proboscis lengths were more specialised in their preference for particular plant species and the specialisation of individual pollinators was higher in alvar pastures than in wooded meadows. All in all, the two management types promoted diverse plant and pollinator communities, which enabled the development of equally even and nested pollination networks. The same generalist plants and pollinators were important for the pollination networks of both wooded meadows and alvar pastures; however, they were complemented by management-specific species, which accounted for differences in network structure. Therefore, the implementation of both management types in the same landscape helps to maintain high species and interaction diversity.</p>
Stable species and interactions in plant-pollinator networks deviate from core position in fragmented habitats
<p><span>S</span><span>pecies</span><span> and their interactions are more dynamic over time and space</span> <span>in</span><span> fragmented habitats </span><span>than</span><span> in continuous habitats</span><span>.</span> <span>In fragmented habitats,</span><span> the</span> <span>low </span><span>nestedness</span> <span>of </span><span>mutualistic</span><span> networks may be related to the</span> <span>position</span><span> change</span> <span>of stable (high persistence over time/space) species and interactions in </span><span>the</span><span> network</span><span>s.</span><span> Previous studies</span> <span>have shown that </span><span>s</span><span>table species </span><span>and</span><span> interactions tend to </span><span>be in</span><span> the core position </span><span>of</span> <span>mutualistic</span><span> networks</span><span>. </span><span>H</span><span>owever</span><span>, </span><span>in fragmented habitats</span><span>, </span><span>it remains unknown whether </span><span>stable species or interactions still </span><span>tend to </span><span>be in</span><span> the core position.</span><span> </span><span>To address this gap,</span> <span>here</span><span> we evaluated </span><span>the correlation between the position of proximity to the network core and the temporal/spatial stability of </span><span>species and interactions</span><span>, </span><span>using</span> <span>the </span><span>observation of 42 plant-pollinator networks conducted in a fragmented island landscape over 3 years</span><span>.</span> <span>We showed that temporally/spatially </span><span>stable </span><span>species </span><span>and</span><span> interactions </span><span>deviated from the network core</span><span> to varying degrees</span><span>. Temporally stable plants</span><span> were</span> <span>most likely to deviate from the network core, followed by</span> <span>pollinators and</span> <span>interactions</span><span>, while only </span><span>spatially stable </span><span>pollinators</span><span> tend to </span><span>deviate from the network core</span><span>. </span><span>When unstable species (</span><span>present in few time/space points</span><span>, </span><span>typically specialists) and interactions occupy the network core,</span> <span>they cannot interact with most species in the network </span><span>as</span><span> generalists</span> <span>do</span><span>, </span><span>result</span><span>ing</span> <span>in</span> <span>the</span> <span>decrease of network nestedness. Therefore, from the perspective of</span><span> position and stability,</span><span> s</span><span>table species and interactions </span><span>deviate from the network core</span> <span>in</span> <span>fragmented habitats</span><span>, which </span><span>is an important reason for</span><span> the</span><span> decrease of</span><span> nestedness in </span><span>mutualistic</span><span> networks</span><span>.</span><span> </span><span>Our study</span><span> suggests that protecting</span> <span>plants that</span><span> occupy the core in large plant-pollinator networks is </span><span>essential for</span> <span>maintaining the network persistence in fragmented habitats.</span></p>
Network analysis highlights increased generalisation and evenness of plant-pollinator interactions after conservation measures
<p><strong>DATASET used in the article entitled</strong> “Network analysis highlights increased generalisation and evenness of plant-pollinator interactions after conservation measures”.</p> <p>We supply weighted and binary matrices used for plant-pollinator network analyses, before and after the implementation of conservation measures.</p> <p>We also supply the list of plant and pollinator species recorded in this study.</p>
Hibiscus bullseyes reveal mechanisms controlling petal pattern proportions that influence plant-pollinator interactions
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Data from: Off-target drift of the herbicide dicamba disrupts plant-pollinator interactions via novel pathways
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Effects of different types of low-intensity management on plant-pollinator interactions in Estonian grasslands
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Stable species and interactions in plant-pollinator networks deviate from core position in fragmented habitats
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Interactions outside local patches contribute to the compound topology of plant-pollinator networks in fragmented dune slacks
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Shifts in water availability mediate plant-pollinator interactions
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Temporal variation in plant-pollinator interactions, Rocky Mountain Biological Laboratory, CO, USA, 2013 - 2015
These datafiles contain the plant-pollinator interaction data collected by Paul CaraDonna et al. at the Rocky Mountain Biological Laboratory in Gothic, CO, USA during the 2013, 2014 and 2015 growing season. These data were collected to investigate temporal variation in plant-pollinator interactions; specifically, these data were collected in a manner to allow for the construction of weekly plant-pollinator interaction networks in order to investigate fine scale temporal variation in plant-pollinator interactions. The data represent extensive community-wide field observations of animal pollinators visiting flowering plants in a subalpine ecosystem for the majority of the summer growing season (May–September).
Data from: Plant-pollinator interactions along an urbanization gradient from cities and villages to farmland landscapes
<p>Urbanization affects pollinator diversity and plant-pollinator networks by changing resource availability locally and in the surrounding landscape. We experimentally established (N = 12) standardized plant communities in farmland, villages and cities to identify the relative role of local and landscape effects on plant-pollinator communities along this urbanization gradient. We found that the number of flower visits by solitary bees, but not bumblebees, were highest in cities and lowest in farmland, with villages being intermediate, whereas syrphid flies exhibited lowest numbers in cities. Villages supported the richest pollinator communities, as they appeared to benefit from both farmland and city communities. Plant-pollinator network metrics such as robustness, interaction evenness and interaction diversity decreased with increasing urbanization, although local plant richness increased towards urban areas. In conclusion, pollinator communities were most diverse and stable in farmland and village sites, despite the high plant richness in cities. The different composition of pollinator communities along the urbanization gradient suggests considering all three landscape types for conservation schemes.</p>
Data from: Trait matching and phenological overlap increase the spatio-temporal stability and functionality of plant-pollinator interactions
<p>Morphology and phenology influence plant-pollinator network structure, but whether they generate more stable pairwise interactions with higher pollination success is unknown. Here we evaluate the importance of morphological trait matching, phenological overlap and specialisation for the spatio-temporal stability (measured as variability) of plant-pollinator interactions and for pollination success, while controlling for species abundance. To this end, we combined a six-year plant-pollinator interaction dataset, with information on species traits, phenologies, specialisation, abundance and pollination success, into structural equation models. Interactions among abundant plants and pollinators with well-matched traits and phenologies formed the stable and functional backbone of the pollination network, whereas poorly-matched interactions were variable in time and had lower pollination success. We conclude that phenological overlap could be more useful for predicting changes in species interactions than species abundances, and that non-random extinction of species with well-matched traits could decrease the stability of interactions within communities and reduce their functioning.</p>
Data from: Interaction rewiring and the rapid turnover of plant-pollinator networks
Whether species interactions are static or change over time has wide-reaching ecological and evolutionary consequences. However, species interaction networks are typically constructed from temporally aggregated interaction data, thereby implicitly assuming that interactions are fixed. This approach has advanced our understanding of communities, but it obscures the timescale at which interactions form (or dissolve) and the drivers and consequences of such dynamics. We address this knowledge gap by quantifying the within-season turnover of plant–pollinator interactions from weekly censuses across 3 years in a subalpine ecosystem. Week-to-week turnover of interactions (1) was high, (2) followed a consistent seasonal progression in all years of study and (3) was dominated by interaction rewiring (the reassembly of interactions among species). Simulation models revealed that species' phenologies and relative abundances constrained both total interaction turnover and rewiring. Our findings reveal the diversity of species interactions that may be missed when the temporal dynamics of networks are ignored.
Plant-pollinator interactions in Mediterranean semiarid ecosystems
<p>Pollinators are fundamental for plant reproduction in natural and agricultural ecosystems. However, their populations are declining worldwide, threatening the functioning of the ecosystem service they provide. The factors driving this change are manifold, but land use changes and interspecific transmission of pathogens between managed and wild bees are prominent. In this context, most research efforts have focused on specific taxa and rarely at the community level, limiting our ability to fully understand the effects of global change on the functioning of plant-pollinator interactions in ecosystems.</p> <p>Here, we investigate the impact of human activities (beekeeping and land use intensity) on the spread of an emergent pathogen (<em>Vairimorpha ceranae</em>) in Mediterranean wild bee communities inhabiting landscapes with varying levels of anthropogenic disturbance. Plant-pollinator interactions were sampled in nine one-hectare plots along a gradient of land use (urban structures, croplands and natural vegetation) and beekeeping intensity. We analised the impact of human disturbances on pollination networks and pathogen prevalence and applied a network approach to examine whether total effects of species in networks (i.e. direct plus indirect interactions) explain pathogen spread through bee communities.</p> <p>We found that <em>V. ceranae </em>prevalence in honey bees is not a good predictor of the pathogen spread through bee communities. There seems to be a temporal mismatch between pathogen dynamics in managed and wild bees. Networks with more diversity of interactions and more plants showed less pathogen prevalence, but total effect analyses (i.e. combining direct and indirect interactions) failed to explain pathogen transmission across pollination networks. Croplands increased wild bee density, and interactions and species diversity in networks while shrublands had the opposite effect. Our results highlight the importance of studying pathogen dynamics at the community level and analysing species interaction patterns to improve our understanding of pathogen spread through communities.</p>
A review of the status of web-based African Plant-Pollinator Interaction data
<p>A protocol was developed to collect and mine data from various web-based sources such as journals, web pages, handbooks, manuals and any other source that is web accessible and has information sought. The intention was to collect as much as possible all data with plant-pollinator interaction from studies carried out in Kenya and other parts of Africa. To assure technical support and homogeinity of thoughts, the activity was carried out in a write-shop set up whereby a team of data miners were brought together for 5 days to collect the data. They were trained on the meaning of plant pollinator interactions, key words that should look for, data coverage area, specific sites that are useful and the reporting. Further, monitoring and review of the data collection was continously done, to ensure the right data was collected appropriately. Various search engines were used to collect the data. The data was then prepared in a Globi data base to enhance its use base on the FAIR data principles. The results show that little data exists in Africa on plant-pollinator interaction based on the FAIR data principles. It further shows that Africa need to adopt FAIR principles to enhance utilization of generated data by scientists and expand the benefits of such data in Africa.</p>
Sites dominated by common fiddleneck (Amsinckia menziesii var. intermedia) support diverse plant-pollinator interactions
<p>Biodiversity is declining at unprecedented rates worldwide due largely to land use change and abnormal disturbance events. The high species diversity and endemicity found in California's coastal sage scrub (CSS) are especially at risk from urban development and ongoing disturbance. However, several CSS plant species have disturbance adaptations which may allow them to serve as vital resources for insect pollinators when native plant diversity is threatened. Common fiddleneck (<em>Amsinckia menziesii var. intermedia</em>) is one of the first annual forbs to germinate in CSS and as a result, it occurs in high density patches in early spring which temporarily creates a near monoculture. Although fiddleneck is a prominent CSS plant, particularly in areas that have experienced a disturbance event, its larger ecological role is not well explored. Therefore, we monitored ten sites across a disturbance gradient for two spring seasons to assess the composition of plant-pollinator networks in fiddleneck-dominated plots. We found fiddleneck supported a diverse pollinator community with 68% of recorded taxa visiting fiddleneck. The plants most frequently visited included two native annual forbs (common fiddleneck and <em>Phacelia distans</em><em>)</em> and two invasive annual forbs (<em>Erodium cicutarium</em> and<em> </em><em>Brassica tournefortii)</em>. Plant and pollinator abundances increased with increased mean precipitation. Additionally, plant-pollinator networks changed over time; the number of links per species increased throughout the season but did not differ amongst disturbance types. Despite the numerical dominance of fiddleneck, CSS supported a diversity of pollinator taxa and exhibited complex plant-pollinator networks across the disturbance gradient.</p>
MetaComNet: A random forest-based framework for making spatial prediction of plant-pollinator interactions
<p>1. Predicting plant-pollinator interaction networks over space and time will improve our understanding of how environmental change is likely to impact the functioning of ecosystems. Here we propose a framework for producing spatially explicit predictions of the occurrence and number of pairwise plant-pollinator interactions and of the species richness, diversity, and abundance of pollinators visiting flowers. We call the framework 'MetaComNet' because it aims to link metacommunity dynamics to the assembly of ecological networks.</p> <p>2. To illustrate the MetaComNet functionality, we used a dataset on bee-flower networks sampled at 16 sites in southeast Norway along with random forest models to predict bee-flower interactions. We included variables associated with climatic conditions (elevation) and habitat availability within a 250m radius of each site. Regional commonness, site-specific distance to conspecifics, social guild, and floral preference were included as bee traits. Each plant species was assigned a score reflecting its site-specific abundance, and four scores reflecting the bee species that the plant family is known to attract. We used leave-one-out cross-validations to assess the models' ability to predict pairwise plant-bee interactions across the landscape.</p> <p>3. The relationship between observed occurrence or absence of interactions and the predicted probability of interactions was nearly proportional (GLMlogistic regression slope = 1.09), matching the data well (AUC = 0.88), and explained 30% of the variation. Predicted probability of interactions was also correlated with the number of observed pairwise interactions (r = 0.32). The sum of predicted probabilities of bee-flower interactions were positively correlated with observed species richness (r = 0.50), diversity (r = 0.48), and abundance (r = 0.42) of wild bees interacting with plant species within sites.</p> <p>4. Our findings show that the MetaComNet framework can be a useful approach for making spatially explicit predictions and mapping plant-pollinator interactions. Such predictions have the potential to identify areas where the pollination potential for wild plants is particularly high, and where conservation action should be directed to preserve this ecosystem function.</p>
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