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Mendeley readers
Title |
On impulsive integrated pest management models with stochastic effects
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Published in |
Frontiers in Neuroscience, April 2015
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DOI | 10.3389/fnins.2015.00119 |
Pubmed ID | |
Authors |
Olcay Akman, Timothy D. Comar, Daniel Hrozencik |
Abstract |
We extend existing impulsive differential equation models for integrated pest management (IPM) by including stage structure for both predator and prey as well as by adding stochastic elements in the birth rate of the prey. Based on our model, we propose an approach that incorporates various competing stochastic components. This approach enables us to select a model with optimally determined weights for maximum accuracy and precision in parameter estimation. This is significant in the case of IPM because the proposed model accommodates varying unknown environmental and climatic conditions, which affect the resources needed for pest eradication. |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 22% |
Student > Master | 3 | 17% |
Student > Bachelor | 2 | 11% |
Other | 2 | 11% |
Student > Doctoral Student | 2 | 11% |
Other | 1 | 6% |
Unknown | 4 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 28% |
Engineering | 2 | 11% |
Computer Science | 1 | 6% |
Psychology | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 44% |