Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data | Zendy

H. T. Banks | Zendy; John E. Banks | Zendy; Jared Catenacci | Zendy; Michele L. Joyner | Zendy; John D. Stark | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data

Author(s) -

H. T. Banks,

John E. Banks,

Jared Catenacci,

Michele L. Joyner,

John D. Stark

Publication year - 2019

Publication title -

mathematical biosciences and engineering

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.451

H-Index - 45

eISSN - 1551-0018

pISSN - 1547-1063

DOI - 10.3934/mbe.2020091

Subject(s) - aggregate (composite) , herbivore , margin (machine learning) , population , aggregate data , span (engineering) , environmental science , ecology , mathematics , statistics , biology , computer science , engineering , demography , machine learning , structural engineering , materials science , sociology , composite material

We consider a population dynamics model in investigating data from controlled experiments with aphids in broccoli patches surrounded by different margin types (bare or weedy ground) and three levels of insecticide spray (no, light, or heavy spray). The experimental data is clearly aggregate in nature. In previous efforts [1], the aggregate nature of the data was ignored. In this paper, we embrace this aspect of the experiment and correctly model the data as aggregate data, comparing the results to the previous approach. We discuss cases in which the approach may provide similar results as well as cases in which there is a clear difference in the resulting fit to the data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research