An analytical stochastic stage-structured model for pest population dynamics: a case study on Cydia pomonella in Italy.

Berk Tan Perçin¹, Serena Baiocco², Federico Cavina², Gianfranco Pradolesi², Sara Pasquali³

¹CNR-IMATI "E. Magenes", Via A. Corti, 12, 20133, Milan, Italy. berktanpercin@cnr.it.

²Terremerse Soc. Coop., Via Cà del Vento, 21, 48012, Bagnacavallo, RA, Italy.

³CNR-IMATI "E. Magenes", Via A. Corti, 12, 20133, Milan, Italy.

PubMed DOI

Abstract

In this work, we propose a novel phenological model to describe population dynamics based on a compound Poisson process driven development. The model offers an alternative to other well-established approaches founded on systems of ordinary or partial differential equations, in which, the stochasticity is driven by the Brownian motion. A key advantage of the proposed framework is that it prevents t…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.