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Understanding and addressing under-sampling in plant-pollinator networks using stacked models for missing link prediction

https://doi.org/10.64898/2026.01.08.698368

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Protecting an Ecosystem Service

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

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Sociality is a key driver of foraging ranges in bees

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Sociality in Bees

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An ecological network approach to predict ecosystem service vulnerability to species losses

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Universal scaling of robustness of ecosystem services to species loss

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Predicting missing links in food webs using stacked models and species traits

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BeeFunc, a comprehensive trait database for French bees

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Linear filtering reveals false negatives in species interaction data

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Diverse responses of phenology to global changes in a grassland ecosystem

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Flowering phenology shifts in response to biodiversity loss

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Stacking models for nearly optimal link prediction in complex networks

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One model to rule them all in network science?

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Floral Symmetry and Its Role in Plant‐Pollinator Systems

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Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks

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Functional significance of the optical properties of flowers for visual signalling

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The revival of the Gini importance?

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Missing and forbidden links in mutualistic networks

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Constructing more informative plant–pollinator networks: visitation and pollen deposition networks in a heathland plant community

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How to colour a flower: on the optical principles of flower coloration

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Understanding plant reproductive diversity

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A common framework for identifying linkage rules across different types of interactions

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Ecological traits affect the sensitivity of bees to land‐use pressures in E uropean agricultural landscapes

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Individual‐based plant–pollinator networks are structured by phenotypic and microsite plant traits

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Pollen analysis reveals the effects of uncovered interactions, pollen‐carrying structures, and pollinator sex on the structure of wild bee–plant networks

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Machine learning algorithms to infer trait‐matching and predict species interactions in ecological networks

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Guidelines for the prediction of species interactions through binary classification

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Predicting predator–prey interactions in terrestrial endotherms using random forest

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Layer‐specific imprints of traits within a plant–herbivore–predator network – complementary insights from complementary methods

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The dimensionality of ecological networks

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Abundance and generalisation in mutualistic networks: solving the chicken‐and‐egg dilemma

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EuPPollNet : A European Database of Plant‐Pollinator Networks

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Evaluating sampling completeness in a desert plant–pollinator network

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Ecological networks, nestedness and sampling effort

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Flower‐visitor networks only partially predict the function of pollen transport by bees

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Network structural properties mediate the stability of mutualistic communities

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Long‐term observation of a pollination network: fluctuation in species and interactions, relative invariance of network structure and implications for estimates of specialization

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Plant–pollinator networks: adding the pollinator’s perspective

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Complex spatiotemporal phenological shifts as a response to rainfall changes

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Congruence between visitation and pollen‐transport networks in a California plant–pollinator community

inferredcites →https://doi.org/10.1111/j.1600-0706.2010.18644.xopenalex-snapshot

How many flowering plants are pollinated by animals?

inferredcites →https://doi.org/10.1111/oik.07259openalex-snapshot

Does phenology explain plant–pollinator interactions at different latitudes? An assessment of its explanatory power in plant–hoverfly networks in French calcareous grasslands

inferredcites →https://doi.org/10.1111/oik.10301openalex-snapshot

Flower‐visitor and pollen‐load data provide complementary insight into species and individual network roles

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Stability of Ecological Communities and the Architecture of Mutualistic and Trophic Networks

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Bumble bees damage plant leaves and accelerate flower production when pollen is scarce

inferredcites →https://doi.org/10.1146/annurev-ecolsys-120213-091857openalex-snapshot

Mutualistic Interactions and Biological Invasions

inferredcites →https://doi.org/10.13140/rg.2.1.3561.5601openalex-snapshot

baseflor

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Functional Diversity of Plant–Pollinator Interaction Webs Enhances the Persistence of Plant Communities

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Understanding Linkage Rules in Plant-Pollinator Networks by Using Hierarchical Models That Incorporate Pollinator Detectability and Plant Traits

inferredcites →https://doi.org/10.1371/journal.pone.0151482openalex-snapshot

The Allometry of Bee Proboscis Length and Its Uses in Ecology

inferredcites →https://doi.org/10.1609/aaai.v32i1.11345openalex-snapshot

Predicting Links in Plant-Pollinator Interaction Networks Using Latent Factor Models With Implicit Feedback

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SUBALPINE MEADOW FLOWERING PHENOLOGY RESPONSES TO CLIMATE CHANGE: INTEGRATING EXPERIMENTAL AND GRADIENT METHODS

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Effects of sampling completeness on the structure of plant–pollinator networks

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Threats to an ecosystem service: pressures on pollinators

inferredcites →https://doi.org/10.2307/3491248openalex-snapshot

The Role of Local Species Abundance in the Evolution of Pollinator Attraction in Flowering Plants

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Floral Specialization and Pollination: A Quantitative Analysis and Comparison of the Leppik and the Faegri and van der Pijl Classification Systems

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A method for under-sampled ecological network data analysis: plant-pollination as case study

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Revealing biases in the sampling of ecological interaction networks

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