Entomologia Sinica (1995) 2, 83-94

Guofa Zhou and Andrew M. Liebhold (1995)
Forecasting gypsy moth defoliation with a geographical information system
Entomologia Sinica 2 (1), 83-94
Abstract: In this study, we developed a series of logistic regression models for forecasting gypsy moth defoliation. The models were parameterized by using data collected over a small scaled 100m× 100m gridarea; the independent variables included egg mass density, male moth trap, previous year defoliation, and distance to the nearest cell which was defoliated in the previous year. We simulated the decision-making by using these models; this method essentially simulated the application of current gypsy moth management decision-making. The results indicated that these models can be more reliably applied to actual management decision.
(The abstract is excluded from the Creative Commons licence and has been copied with permission by the publisher.)
Link to article at publishers website
Database assignments for author(s): Andrew M. Liebhold

Research topic(s) for pests/diseases/weeds:
population dynamics/ epidemiology
thresholds/decision-support systems

---

Pest and/or beneficial records:

Beneficial	Pest/Disease/Weed	Crop/Product	Country	Quarant.
	Lymantria dispar