ArticleFrontiers in physiology2017
Individual-Based Modeling Approach to Assessment of the Impacts of Landscape Complexity and Climate on Dispersion, Detectability and Fate of Incipient Medfly Populations.
Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Overwintering Capacity of the Mediterranean Fruit Fly in the Dalmatia Region of Croatia.Insects · 2025Article
- Using harmonic radar to compare movement behavior between Bactrocera dorsalis and Ceratitis capitata (Diptera: Tephritidae).Journal of insect science (Online) · 2025Article
- The fallacy of the integrated pest management paradigm and the need for its OFF seasonal shift in the management of tropical fruit flies (Diptera: Tephritidae): The case ofCurrent research in insect science · 2025Article
- Invasion History and Dispersion Dynamics of the Mediterranean Fruit Fly in the Balkan Peninsula.Insects · 2024Review
- Tracking and modeling the movement of Queensland fruit flies, Bactrocera tryoni, using harmonic radar in papaya fields.Scientific reports · 2024Article
- Mediterranean fruit fly population phenological patterns are strongly affected by elevation and host presence.Scientific reports · 2024Article
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- Release-Recapture Test of Dispersal and Survival of Sterile Males of Ceratitis capitata (Diptera: Tephritidae).Neotropical entomology · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of the presented study was to demonstrate the potential of a bottom-up "ethological" approach and individual-based model of Markov-like stochastic processes, employed to gain insights into the factors driving behavior and fate of the invasive propagule, which determine the initial stages of pest invasion and "cryptic" existence of the localized, ultra-low density incipient pest populations. The applied model, PESTonFARM, is driven by the parameters derived directly from the behavior and biology of the target insect species, and spatiotemporal traits of the local terrain and climate. The model projections are actively generated by behavior of the primary causative actors of the invasion processes-individual "virtual" insects-members of the initial propagules or incipient populations. Algorithms of the model were adjusted to reflect behavior and ecology of the Mediterranean fruit fly,
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