Grant: Discovery Grants Program - Individual
Ryerson University
$11,000.00
Elliptic partial differential equations with applications to population models with harvesting rates
FY 2016-17
Summary
Population models for species are used to study the behaviors of the populations or the interaction of two or more species. One important topic is to determine under what circumstances the species either survive or go extinct. According to human needs, the exploitation of biological resources and the harvesting of populations are commonly practiced in fishery, forestry, and wildlife management. To predict whether species will become extinct and to obtain insight into the optimal management of renewable resources, one needs to consider models which incorporate harvesting rates. The aim is to determine a harvestable quantity of the species without having the population die out. According to Clark's book (C. W. Clark, Mathematical Bioeconomics, The Optimal Management of Renewable Resources, second edition, John Wiley & Sons, New York, 1990), the management of renewable resources is thought to be based on the maximum sustainable yield (MSY). If the populations of the species are harvested by some process of over-exploitation (that is, harvesting rate is strictly greater than the MSY), then the species could become extinct. Mathematically, models of populations of species are often governed by one or more first order ordinary differential equations or by parabolic or elliptic partial differential equations (PDEs) including Laplacian boundary value problems. These models play an important role in modern applicable mathematics. The long-term objectives of my research program are to propose and analyze new models arising in mathematical biology and ecology, and establish new theories in differential equations and apply these and other known theories to treat these models. My short term objectives are to rigorously analyze some models such as population models of single species including diffusive Nicholson blowfly models, and of two species such as predator-prey models and chemostat models in PDE forms. Emphasis will be placed on PDE models with harvesting rates and finding the MSYs of these models since there is little study on the MSYs of the PDE models even in one-dimensional cases. The main difficulty is that maximum principles cannot be applied.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
250187-2013
Name nom
Lan, Kunquan
Department département
Mathematics
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2013
Award amount
11000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1201
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Life sciences (including biotechnology)
Area of application fr
Sciences de la vie (y compris biotechnologie)
Research subject code
2950
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Applied mathematics
Research subject fr
Mathématiques appliquées
Partie
4
Nb partie
5
Application title
Elliptic partial differential equations with applications to population models with harvesting rates
Keyword
NSERC
Application summary
Population models for species are used to study the behaviors of the populations or the interaction of two or more species. One important topic is to determine under what circumstances the species either survive or go extinct. According to human needs, the exploitation of biological resources and the harvesting of populations are commonly practiced in fishery, forestry, and wildlife management. To predict whether species will become extinct and to obtain insight into the optimal management of renewable resources, one needs to consider models which incorporate harvesting rates. The aim is to determine a harvestable quantity of the species without having the population die out. According to Clark's book (C. W. Clark, Mathematical Bioeconomics, The Optimal Management of Renewable Resources, second edition, John Wiley & Sons, New York, 1990), the management of renewable resources is thought to be based on the maximum sustainable yield (MSY). If the populations of the species are harvested by some process of over-exploitation (that is, harvesting rate is strictly greater than the MSY), then the species could become extinct. Mathematically, models of populations of species are often governed by one or more first order ordinary differential equations or by parabolic or elliptic partial differential equations (PDEs) including Laplacian boundary value problems. These models play an important role in modern applicable mathematics. The long-term objectives of my research program are to propose and analyze new models arising in mathematical biology and ecology, and establish new theories in differential equations and apply these and other known theories to treat these models. My short term objectives are to rigorously analyze some models such as population models of single species including diffusive Nicholson blowfly models, and of two species such as predator-prey models and chemostat models in PDE forms. Emphasis will be placed on PDE models with harvesting rates and finding the MSYs of these models since there is little study on the MSYs of the PDE models even in one-dimensional cases. The main difficulty is that maximum principles cannot be applied.