TY - JOUR
T1 - Integral control for population management
AU - Guiver, Christopher
AU - Logemann, H.
AU - Rebarber, R.
AU - Bill, A.
AU - Tenhumberg, B.
AU - Hodgson, D.
AU - Townley, S.
PY - 2015/4
Y1 - 2015/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84901736244&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1007/s00285-014-0789-4
U2 - 10.1007/s00285-014-0789-4
DO - 10.1007/s00285-014-0789-4
M3 - Article
SN - 0303-6812
VL - 70
SP - 1015
EP - 1063
JO - Journal of Mathematical Biology
JF - Journal of Mathematical Biology
IS - 5
ER -