ArticleProceedings of the National Academy of Sciences of the United States of America2011
A network model for plant-pollinator community assembly.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks.NPJ systems biology and applications · 2026Article
- Automated model refinement using perturbation-observation pairs.NPJ systems biology and applications · 2025Article
- The persistence of bipartite ecological communities with Lotka-Volterra dynamics.Journal of mathematical biology · 2024Article
- Structural dynamics of plant-pollinator mutualistic networks.PNAS nexus · 2024Article
- Article
- On the History of Ecosystem Dynamical Modeling: The Rise and Promises of Qualitative Models.Entropy (Basel, Switzerland) · 2023Article
- The role of intra-guild indirect interactions in assembling plant-pollinator networks.Nature communications · 2023Article
- Data-driven learning of Boolean networks and functions by optimal causation entropy principle.Patterns (New York, N.Y.) · 2022Article
- Ternary network models for disturbed ecosystems.Royal Society open science · 2022Article
- Whole community invasions and the integration of novel ecosystems.PLoS computational biology · 2022Article
- Model-checking ecological state-transition graphs.PLoS computational biology · 2022Article
- Influence of Association Network Properties and Ecological Assembly of the Foliar Fugal Community on Crop Quality.Frontiers in microbiology · 2022Article
- Ecological rules for the assembly of microbiome communities.PLoS biology · 2021Article
- Mutualistic networks emerging from adaptive niche-based interactions.Nature communications · 2020Article
- Diverse interactions and ecosystem engineering can stabilize community assembly.Nature communications · 2020Article
- Minimal intervening control of biomolecular networks leading to a desired cellular state.Scientific reports · 2019Article
- Effects of model choice, network structure, and interaction strengths on knockout extinction models of ecological robustness.Ecology and evolution · 2018Article
- Flower-mediated plant-butterfly interactions in an heterogeneous tropical coastal ecosystem.PeerJ · 2018Article
- Communities as cliques.Scientific reports · 2016Article
- Effect of localization on the stability of mutualistic ecological networks.Nature communications · 2015Article
Corrections and comments
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4 authors.
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Abstract
Community assembly models, usually constructed for food webs, are an important component of our understanding of how ecological communities are formed. However, models for mutualistic community assembly are still needed, especially because these communities are experiencing significant anthropogenic disturbances that affect their biodiversity. Here, we present a unique network model that simulates the colonization and extinction process of mutualistic community assembly. We generate regional source pools of species interaction networks on the basis of statistical properties reported in the literature. We develop a dynamic synchronous Boolean framework to simulate, with few free parameters, the dynamics of new mutualistic community formation from the regional source pool. This approach allows us to deterministically map out every possible trajectory of community formation. This level of detail is rarely observed in other analytic approaches and allows for thorough analysis of the dynamical properties of community formation. As for food web assembly, we find that the number of stable communities is quite low, and the composition of the source pool influences the abundance and nature of community outcomes. However, in contrast to food web assembly, stable mutualistic communities form rapidly. Small communities with minor fluctuations in species presence/absence (self-similar limit cycles) are the most common community outcome. The unique application of this Boolean network approach to the study of mutualistic community assembly offers a great opportunity to improve our understanding of these critical communities.
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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.