ArticleNature communications2021
Reconstruction of plant-pollinator networks from observational data.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 33 citations in OpenAlex.
- Predicting unknown mammalian viral hosts with Dynamic Positive-Unlabeled learning.Nature communications · 2026Article
- Herbaria unlock tripartite pollination responses to anthropogenic change.Trends in ecology & evolution · 2026Review
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- Deciphering Probabilistic Species Interaction Networks.Ecology letters · 2025Review
- Downscaling mutualistic networks from species to individuals reveals consistent interaction niches and roles within plant populations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Duality between predictability and reconstructability in complex systems.Nature communications · 2024Article
- All paths lead to hubs in the spectroscopic networks of water isotopologues HCommunications chemistry · 2024Article
- Rate-induced tipping in complex high-dimensional ecological networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Hypergraph reconstruction from uncertain pairwise observations.Scientific reports · 2023Article
- Predicting ecosystem metaphenome from community metagenome: A grand challenge for environmental biology.Ecology and evolution · 2023Article
- Statistical inference links data and theory in network science.Nature communications · 2022Review
- Brief Pollination Assessment of a Critically Endangered Food-Deceptive Orchid (Plants (Basel, Switzerland) · 2022Article
- Socio-semantic networks as mutualistic networks.Scientific reports · 2022Article
- Phylogenetic structure of specialization: A new approach that integrates partner availability and phylogenetic diversity to quantify biotic specialization in ecological networks.Ecology and evolution · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Empirical measurements of ecological networks such as food webs and mutualistic networks are often rich in structure but also noisy and error-prone, particularly for rare species for which observations are sparse. Focusing on the case of plant-pollinator networks, we here describe a Bayesian statistical technique that allows us to make accurate estimates of network structure and ecological metrics from such noisy observational data. Our method yields not only estimates of these quantities, but also estimates of their statistical errors, paving the way for principled statistical analyses of ecological variables and outcomes. We demonstrate the use of the method with an application to previously published data on plant-pollinator networks in the Seychelles archipelago and Kosciusko National Park, calculating estimates of network structure, network nestedness, and other characteristics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.