ArticleNature communications2020
Untangling the seasonal dynamics of plant-pollinator communities.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Optimising daily sampling of plant-bee interaction networks.The Journal of animal ecology · 2026Article
- Trophic and Environmental Generalists Maintain Pollinator Network Functional Continuity by Switching Modules Through Time.Ecology and evolution · 2026Article
- Changes in species composition and community structure during plant-pollinator community assembly.Ecology · 2025Article
- Structural dynamics of plant-pollinator mutualistic networks.PNAS nexus · 2024Article
- Elevational and seasonal patterns of plant pollinator networks in two highland tropical ecosystems in Costa Rica.PloS one · 2024Article
- Temporal origin of nestedness in interaction networks.PNAS nexus · 2023Article
- Phenology and foraging bias contribute to sex-specific foraging patterns in the rare declining butterflyEcology and evolution · 2023Article
- Seasonal structure of interactions enhances multidimensional stability of mutualistic networks.Proceedings. Biological sciences · 2022Article
- The overlooked complexity of avian brood parasite-host relationships.Ecology letters · 2022Review
- Diversity and turnover of wild bee and ornamental plant assemblages in commercial plant nurseries.Oecologia · 2022Article
- Floral Complexity Traits as Predictors of Plant-Bee Interactions in a Mediterranean Pollination Web.Plants (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ecological communities often show changes in populations and their interactions over time. To date, however, it has been challenging to effectively untangle the mechanisms shaping such dynamics. One approach that has yet to be fully explored is to treat the varying structure of empirical communities-i.e. their network of interactions-as time series. Here, we follow this approach by applying a network-comparison technique to study the seasonal dynamics of plant-pollinator networks. We find that the structure of these networks is extremely variable, where species constantly change how they interact with each other within seasons. Most importantly, we find the holistic dynamic of plants and pollinators to be remarkably coherent across years, allowing us to reveal general rules by which species first enter, then change their roles, and finally leave the networks. Overall, our results disentangle key aspects of species' interaction turnover, phenology, and seasonal assembly/disassembly processes in empirical plant-pollinator communities.
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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.