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We present a novel management methodology for restocking a declining population. The strategy uses integral control, a concept ubiquitous in control theory which has not been applied to population dynamics. Integral control is based on dynamic feedback-using measurements of the population to inform management strategies and is robust to model uncertainty, an important consideration for ecological models. We demonstrate from first principles why such an approach to population management is suitable via theory and examples.
Conservation of Natural Resources, Stochastic Processes, Population Dynamics, Sus scrofa, Integral control, PI control, Population ecology, Conservation, Management, Conservation, Biodiversity, Mathematical Concepts, Models, Biological, Management, Feedback, PI control, Population ecology, Integral control, Animals, Female, Ecosystem
Conservation of Natural Resources, Stochastic Processes, Population Dynamics, Sus scrofa, Integral control, PI control, Population ecology, Conservation, Management, Conservation, Biodiversity, Mathematical Concepts, Models, Biological, Management, Feedback, PI control, Population ecology, Integral control, Animals, Female, Ecosystem
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |