ReviewAnnals of botany2020
An overview of agent-based models in plant biology and ecology.
Review in Annals of botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
The trial behind it
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
13 citing papers in PubMed.
- Article
- Ethylene Signaling in Plant Development and Stress Adaptation.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Biophysical modelling as a tool for advancing plant science and engineering.Frontiers in plant science · 2025Review
- Exploring the Role of Genetic and Environmental Features in Colorectal Cancer Development: An Agent-Based Approach.Entropy (Basel, Switzerland) · 2024Article
- Quantifying Plant Signaling Pathways by Integrating Luminescence-Based Biosensors and Mathematical Modeling.Biosensors · 2024Article
- Quantifying the uncertainty of LLM hallucination spreading in complex adaptive social networks.Scientific reports · 2024Article
- Impact of intraspecific genetic variation on interspecific competition: a theoretical case study of forage binary mixtures.Frontiers in plant science · 2024Article
- Plant science in the age of simulation intelligence.Frontiers in plant science · 2023Article
- Human-Plant Coevolution: A modelling framework for theory-building on the origins of agriculture.PloS one · 2022Article
- Integrating terrestrial laser scanning with functional-structural plant models to investigate ecological and evolutionary processes of forest communities.Annals of botany · 2021Article
- Intraspecific trait variation in plants: a renewed focus on its role in ecological processes.Annals of botany · 2021Review
- Functional-Structural Plant Modeling Highlights How Diversity in Leaf Dimensions and Tillering Capability Could Promote the Efficiency of Wheat Cultivar Mixtures.Frontiers in plant science · 2021Article
- Two decades of functional-structural plant modelling: now addressing fundamental questions in systems biology and predictive ecology.Annals of botany · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Agent-based modelling (ABM) has become an established methodology in many areas of biology, ranging from the cellular to the ecological population and community levels. In plant science, two different scales have predominated in their use of ABM. One is the scale of populations and communities, through the modelling of collections of agents representing individual plants, interacting with each other and with the environment. The other is the scale of the individual plant, through the modelling, by functional-structural plant models (FSPMs), of agents representing plant building blocks, or metamers, to describe the development of plant architecture and functions within individual plants. The purpose of this review is to show key results and parallels in ABM for growth, mortality, carbon allocation, competition and reproduction across the scales from the plant organ to populations and communities on a range of spatial scales to the whole landscape. Several areas of application of ABMs are reviewed, showing that some issues are addressed by both population-level ABMs and FSPMs. Continued increase in the relevance of ABM to environmental science and management will be helped by greater integration of ABMs across these two scales.
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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.