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

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

doi:10.3934/mbe.2020091

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

H.T. Banks, John E. Banks, Jared Catenacci, Michele Joyner, John D. Stark

Undergraduate Research Opportunities Center (UROC)

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	American English
Journal	Mathematical Biosciences & Engineering
Volume	17
DOIs	https://doi.org/10.3934/mbe.2020091
State	Published - 2020

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Life Sciences
Physical Sciences and Mathematics

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title = "Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data",

abstract = " 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. ",

author = "H.T. Banks and Banks, {John E.} and Jared Catenacci and Michele Joyner and Stark, {John D.}",

note = "Research article Special Issues 1. Center for Research in Scientific Computation, N. C. State University, Raleigh, NC, 27695, USA 2. Undergraduate Research Opportunities Center (UROC), California State University, Monterey Bay, Seaside, CA 93955, USA 3. The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA 4.",

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doi = "10.3934/mbe.2020091",

language = "American English",

volume = "17",

journal = "Mathematical Biosciences & Engineering",

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T1 - Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data

AU - Banks, H.T.

AU - Banks, John E.

AU - Catenacci, Jared

AU - Joyner, Michele

AU - Stark, John D.

N1 - Research article Special Issues 1. Center for Research in Scientific Computation, N. C. State University, Raleigh, NC, 27695, USA 2. Undergraduate Research Opportunities Center (UROC), California State University, Monterey Bay, Seaside, CA 93955, USA 3. The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA 4.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - https://www.aimspress.com/article/10.3934/mbe.2020091

U2 - 10.3934/mbe.2020091

DO - 10.3934/mbe.2020091

M3 - Article

VL - 17

JO - Mathematical Biosciences & Engineering

JF - Mathematical Biosciences & Engineering

ER -

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

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