Kehinde R. Salau
- Courses4
- Reviews6
- School: University of Arizona
- Campus:
- Department: Mathematics
- Email address: Join to see
- Phone: Join to see
-
Location:
1509 E Helen St
Tucson, AZ - 85719 - Dates at University of Arizona: January 2014 - December 2014
- Office Hours: Join to see
Biography
University of Arizona - Mathematics
Data Science Sr. Assoc. at JPMorgan Chase & Co.
Financial Services
Kehinde
Salau
Columbus, Ohio Area
I am an applied mathematics PhD with ten years experience using—and instructing others in the use of—mathematical and computational modeling tools to study biological, social, finance, and economic systems.
My current areas of interest include Deposits modeling, Market forecasting and analytics, network theory, and linear and nonlinear optimization.
I enjoy collaborative, interdisciplinary research with professionals of diverse backgrounds. A list of my published works can be found at https://scholar.google.com/citations?user=z0YwuDoAAAAJ&hl=en
My targeted contribution involves repurposing my quantitative skills to tackle data-rich, real-world problems in need of research-driven management and consultation.
Experience
Arizona State University
Lead Software Developer
Engineered software to help structure a discussion between university administrators and faculty on teaching schedules.
The MATLAB application assigns courses to faculty members based on listed course preferences and specified course attributes.
Secured data from the School of Life Sciences (SOLS) at ASU on courses and faculty members in order to project realistic results and display tradeoffs associated with different schedule configurations.
Generalized the coding structure to work on any major operating system (Windows, Mac OS X, Linux).Arizona State University
Graduate Research Fellow in Applied Mathematics
Conducting collaborative research that utilizes tools from mathematical and computational ecology, network theory, and agent-based modeling - this study led to 3 journal publications.
Completed essential qualifying exams in Probability, Statistics, and Math Biology I & II at a PhD competence level.
Recitation Instructor for two sections of 'Calculus w/Analytic Geometry I'. Grader for 'Calculus II for Engineers' and 'Modern Differential Equations'.Arizona State University
Visiting Faculty - Math Science Honors Program
Main instructor for AML 100 – Introduction to Applied Mathematics for the Life and Social Sciences.
Part of an academic team that introduced high school students to the essential tools of applied mathematics and statistics.
Utilized ‘flipped class’ techniques to educate students and worked closely with student groups to develop ideas into working projects.JPMorgan Chase & Co.
Data Science Sr. Assoc.
Kehinde worked at JPMorgan Chase & Co. as a Data Science Sr. Assoc.
The University of Arizona
Alliance Postdoctoral Research Fellow
Investigating complex consumer-resource dynamics in large foodwebs using differential equation and simulation models constructed in MATLAB and R, and data from laboratory experiments.
Using evolutionary game-theoretic concepts to develop persistence criteria for age-structured populations in nature. Visual aids developed using Mathematica.
Instructing undergraduate and graduate students in College Algebra, Calculus (I & II), Differential Equations (theory and application), Bifurcation Theory (discrete & continuous), and Biostatistics.Universiteit Utrecht
Visiting Student
The theme of the summer program was 'Dynamical Systems and the Applications'. I completed courses in bifurcation theory and delay differential equations at the UU department of mathematics.
Education
St. Mary's College of Maryland
B.A.
Mathematics
Senior thesis topic on 'Continued Fractions' College-level courses include Computer Science I, Discrete Mathematics, Calculus II, Vector Calculus, Mathematical Logic I & II, Linear Algebra, Differential Equations, Abstract Algebra I & II, Real Analysis I & II, Topology, and Mathematical EconomicsArizona State University
PhD
Applied Mathematics for the Life and Social Sciences
Dissertation titled 'Assessing the Effects of Institutional and Spatial Arrangements in Analytical and Computational Models of Conservation'. Advisors: Dr. Marco A. Janssen & Dr. Eli P. Fenichel Graduate-level courses in Sustainable Resource Allocation, Mathematical Natural Resource Economics, Experimental Data and R, Proposal writing, and Applied Regression Analysis (w/ SAS)Arizona State University
Master's Degree
Mathematics and Statistics
Graduate-level courses in Probability, Mathematical Statistics, Stochastic Modeling, Statistical Inverse Methods, Game Theory, mathematical modeling, and agent-based modeling.Arizona State University
Lead Software Developer
Engineered software to help structure a discussion between university administrators and faculty on teaching schedules. The MATLAB application assigns courses to faculty members based on listed course preferences and specified course attributes. Secured data from the School of Life Sciences (SOLS) at ASU on courses and faculty members in order to project realistic results and display tradeoffs associated with different schedule configurations. Generalized the coding structure to work on any major operating system (Windows, Mac OS X, Linux).Arizona State University
Graduate Research Fellow in Applied Mathematics
Conducting collaborative research that utilizes tools from mathematical and computational ecology, network theory, and agent-based modeling - this study led to 3 journal publications. Completed essential qualifying exams in Probability, Statistics, and Math Biology I & II at a PhD competence level. Recitation Instructor for two sections of 'Calculus w/Analytic Geometry I'. Grader for 'Calculus II for Engineers' and 'Modern Differential Equations'.Arizona State University
Visiting Faculty - Math Science Honors Program
Main instructor for AML 100 – Introduction to Applied Mathematics for the Life and Social Sciences. Part of an academic team that introduced high school students to the essential tools of applied mathematics and statistics. Utilized ‘flipped class’ techniques to educate students and worked closely with student groups to develop ideas into working projects.
Publications
Insights for managers from modeling species interactions across multiple scales in an idealized landscape
Environment Modelling & Software
In recent years there has been a shift in biodiversity efforts from protected areas to one of interlinked habitat patches across multiple land tenure types. Much work remains on how managers can intervene in such systems to achieve basic goals. We use an agent-based model of a metapopulation with predator–prey dynamics and density-dependent migration to examine theoretically the capacity of a manager to modify the ecosystem to achieve conservation goals. We explore management strategies aimed at maintaining one of two goals – local or global coexistence of species. To achieve their goal, the manager varies the connectivity between patches based on one of three strategies – the monitoring of predator, prey, or the vegetation carrying capacity of the patches. We find that strategies that lead to highest coexistence monitor mid-tier populations globally. Our goal is to use our model results to advance decision-making in conservation beyond protected areas, typical in today's conservation.
Insights for managers from modeling species interactions across multiple scales in an idealized landscape
Environment Modelling & Software
In recent years there has been a shift in biodiversity efforts from protected areas to one of interlinked habitat patches across multiple land tenure types. Much work remains on how managers can intervene in such systems to achieve basic goals. We use an agent-based model of a metapopulation with predator–prey dynamics and density-dependent migration to examine theoretically the capacity of a manager to modify the ecosystem to achieve conservation goals. We explore management strategies aimed at maintaining one of two goals – local or global coexistence of species. To achieve their goal, the manager varies the connectivity between patches based on one of three strategies – the monitoring of predator, prey, or the vegetation carrying capacity of the patches. We find that strategies that lead to highest coexistence monitor mid-tier populations globally. Our goal is to use our model results to advance decision-making in conservation beyond protected areas, typical in today's conservation.
A global bifurcation theorem for Darwinian matrix models
Journal of Difference Equations and Applications
Motivated by models from evolutionary population dynamics, we study a general class of nonlinear difference equations called matrix models. Under the assumption that the projection matrix is non-negative and irreducible, we prove a theorem that establishes the global existence of a continuum with positive equilibria that bifurcates from an extinction equilibrium at a value of a model parameter at which the extinction equilibrium destabilizes. We give criteria for the global shape of the continuum, including local direction of bifurcation and its relationship to the local stability of the bifurcating positive equilibria. We discuss a relationship between backward bifurcations and Allee effects. Illustrative examples are given.
Insights for managers from modeling species interactions across multiple scales in an idealized landscape
Environment Modelling & Software
In recent years there has been a shift in biodiversity efforts from protected areas to one of interlinked habitat patches across multiple land tenure types. Much work remains on how managers can intervene in such systems to achieve basic goals. We use an agent-based model of a metapopulation with predator–prey dynamics and density-dependent migration to examine theoretically the capacity of a manager to modify the ecosystem to achieve conservation goals. We explore management strategies aimed at maintaining one of two goals – local or global coexistence of species. To achieve their goal, the manager varies the connectivity between patches based on one of three strategies – the monitoring of predator, prey, or the vegetation carrying capacity of the patches. We find that strategies that lead to highest coexistence monitor mid-tier populations globally. Our goal is to use our model results to advance decision-making in conservation beyond protected areas, typical in today's conservation.
A global bifurcation theorem for Darwinian matrix models
Journal of Difference Equations and Applications
Motivated by models from evolutionary population dynamics, we study a general class of nonlinear difference equations called matrix models. Under the assumption that the projection matrix is non-negative and irreducible, we prove a theorem that establishes the global existence of a continuum with positive equilibria that bifurcates from an extinction equilibrium at a value of a model parameter at which the extinction equilibrium destabilizes. We give criteria for the global shape of the continuum, including local direction of bifurcation and its relationship to the local stability of the bifurcating positive equilibria. We discuss a relationship between backward bifurcations and Allee effects. Illustrative examples are given.
The optimal timing of reintroducing captive populations into the wild
Ecological Economics
We examine a conservation problem in which the recovery of an endangered species depends on a captive breeding and reintroduction program. The model is applied to the case of the black-footed ferret (Mustela nigripes), an endangered species in North America reliant on captive breeding for survival. The timing of reintroduction is an important concern in these programs as there is a tradeoff between the duration (and therefore the cost) of the captive breeding program and the period the population spends in recovery and in the wild. In this paper, we develop a stylized bioeconomic model to determine the optimal reintroduction time, in which the objective is to minimize the cost of reintroduction while providing a viably-sized population in the wild. Our control variable is the timing of reintroduction, which departs from a large body of work in bioeconomics that focuses on adjustable controls that directly affect the target population. Generally, we find it is optimal to reintroduce ferrets early in a reintroduction program, although this result is contingent on species interactions and provisioning services.
Insights for managers from modeling species interactions across multiple scales in an idealized landscape
Environment Modelling & Software
In recent years there has been a shift in biodiversity efforts from protected areas to one of interlinked habitat patches across multiple land tenure types. Much work remains on how managers can intervene in such systems to achieve basic goals. We use an agent-based model of a metapopulation with predator–prey dynamics and density-dependent migration to examine theoretically the capacity of a manager to modify the ecosystem to achieve conservation goals. We explore management strategies aimed at maintaining one of two goals – local or global coexistence of species. To achieve their goal, the manager varies the connectivity between patches based on one of three strategies – the monitoring of predator, prey, or the vegetation carrying capacity of the patches. We find that strategies that lead to highest coexistence monitor mid-tier populations globally. Our goal is to use our model results to advance decision-making in conservation beyond protected areas, typical in today's conservation.
A global bifurcation theorem for Darwinian matrix models
Journal of Difference Equations and Applications
Motivated by models from evolutionary population dynamics, we study a general class of nonlinear difference equations called matrix models. Under the assumption that the projection matrix is non-negative and irreducible, we prove a theorem that establishes the global existence of a continuum with positive equilibria that bifurcates from an extinction equilibrium at a value of a model parameter at which the extinction equilibrium destabilizes. We give criteria for the global shape of the continuum, including local direction of bifurcation and its relationship to the local stability of the bifurcating positive equilibria. We discuss a relationship between backward bifurcations and Allee effects. Illustrative examples are given.
The optimal timing of reintroducing captive populations into the wild
Ecological Economics
We examine a conservation problem in which the recovery of an endangered species depends on a captive breeding and reintroduction program. The model is applied to the case of the black-footed ferret (Mustela nigripes), an endangered species in North America reliant on captive breeding for survival. The timing of reintroduction is an important concern in these programs as there is a tradeoff between the duration (and therefore the cost) of the captive breeding program and the period the population spends in recovery and in the wild. In this paper, we develop a stylized bioeconomic model to determine the optimal reintroduction time, in which the objective is to minimize the cost of reintroduction while providing a viably-sized population in the wild. Our control variable is the timing of reintroduction, which departs from a large body of work in bioeconomics that focuses on adjustable controls that directly affect the target population. Generally, we find it is optimal to reintroduce ferrets early in a reintroduction program, although this result is contingent on species interactions and provisioning services.
Do-it-yourself networks: a novel method of generating weighted networks
Royal Society Open Science
Network theory is finding applications in the life and social sciences for ecology, epidemiology, finance and social–ecological systems. While there are methods to generate specific types of networks, the broad literature is focused on generating unweighted networks. In this paper, we present a framework for generating weighted networks that satisfy user-defined criteria. Each criterion hierarchically defines a feature of the network and, in doing so, complements existing algorithms in the literature. We use a general example of ecological species dispersal to illustrate the method and provide open-source code for academic purposes.
Insights for managers from modeling species interactions across multiple scales in an idealized landscape
Environment Modelling & Software
In recent years there has been a shift in biodiversity efforts from protected areas to one of interlinked habitat patches across multiple land tenure types. Much work remains on how managers can intervene in such systems to achieve basic goals. We use an agent-based model of a metapopulation with predator–prey dynamics and density-dependent migration to examine theoretically the capacity of a manager to modify the ecosystem to achieve conservation goals. We explore management strategies aimed at maintaining one of two goals – local or global coexistence of species. To achieve their goal, the manager varies the connectivity between patches based on one of three strategies – the monitoring of predator, prey, or the vegetation carrying capacity of the patches. We find that strategies that lead to highest coexistence monitor mid-tier populations globally. Our goal is to use our model results to advance decision-making in conservation beyond protected areas, typical in today's conservation.
A global bifurcation theorem for Darwinian matrix models
Journal of Difference Equations and Applications
Motivated by models from evolutionary population dynamics, we study a general class of nonlinear difference equations called matrix models. Under the assumption that the projection matrix is non-negative and irreducible, we prove a theorem that establishes the global existence of a continuum with positive equilibria that bifurcates from an extinction equilibrium at a value of a model parameter at which the extinction equilibrium destabilizes. We give criteria for the global shape of the continuum, including local direction of bifurcation and its relationship to the local stability of the bifurcating positive equilibria. We discuss a relationship between backward bifurcations and Allee effects. Illustrative examples are given.
The optimal timing of reintroducing captive populations into the wild
Ecological Economics
We examine a conservation problem in which the recovery of an endangered species depends on a captive breeding and reintroduction program. The model is applied to the case of the black-footed ferret (Mustela nigripes), an endangered species in North America reliant on captive breeding for survival. The timing of reintroduction is an important concern in these programs as there is a tradeoff between the duration (and therefore the cost) of the captive breeding program and the period the population spends in recovery and in the wild. In this paper, we develop a stylized bioeconomic model to determine the optimal reintroduction time, in which the objective is to minimize the cost of reintroduction while providing a viably-sized population in the wild. Our control variable is the timing of reintroduction, which departs from a large body of work in bioeconomics that focuses on adjustable controls that directly affect the target population. Generally, we find it is optimal to reintroduce ferrets early in a reintroduction program, although this result is contingent on species interactions and provisioning services.
Do-it-yourself networks: a novel method of generating weighted networks
Royal Society Open Science
Network theory is finding applications in the life and social sciences for ecology, epidemiology, finance and social–ecological systems. While there are methods to generate specific types of networks, the broad literature is focused on generating unweighted networks. In this paper, we present a framework for generating weighted networks that satisfy user-defined criteria. Each criterion hierarchically defines a feature of the network and, in doing so, complements existing algorithms in the literature. We use a general example of ecological species dispersal to illustrate the method and provide open-source code for academic purposes.
Landscape connectivity and predator–prey population dynamics
Landscape Ecology
Landscapes are increasingly fragmented, and conservation programs have started to look at network approaches for maintaining populations at a larger scale. We present an agent-based model of predator–prey dynamics where the agents (i.e. the individuals of either the predator or prey population) are able to move between different patches in a landscaped network. We then analyze population level and coexistence probability given node-centrality measures that characterize specific patches. We show that both predator and prey species benefit from living in globally well-connected patches (i.e. with high closeness centrality). However, the maximum number of prey species is reached, on average, at lower closeness centrality levels than for predator species. Hence, prey species benefit from constraints imposed on species movement in fragmented landscapes since they can reproduce with a lesser risk of predation, and their need for using anti-predatory strategies decreases.
Insights for managers from modeling species interactions across multiple scales in an idealized landscape
Environment Modelling & Software
In recent years there has been a shift in biodiversity efforts from protected areas to one of interlinked habitat patches across multiple land tenure types. Much work remains on how managers can intervene in such systems to achieve basic goals. We use an agent-based model of a metapopulation with predator–prey dynamics and density-dependent migration to examine theoretically the capacity of a manager to modify the ecosystem to achieve conservation goals. We explore management strategies aimed at maintaining one of two goals – local or global coexistence of species. To achieve their goal, the manager varies the connectivity between patches based on one of three strategies – the monitoring of predator, prey, or the vegetation carrying capacity of the patches. We find that strategies that lead to highest coexistence monitor mid-tier populations globally. Our goal is to use our model results to advance decision-making in conservation beyond protected areas, typical in today's conservation.
A global bifurcation theorem for Darwinian matrix models
Journal of Difference Equations and Applications
Motivated by models from evolutionary population dynamics, we study a general class of nonlinear difference equations called matrix models. Under the assumption that the projection matrix is non-negative and irreducible, we prove a theorem that establishes the global existence of a continuum with positive equilibria that bifurcates from an extinction equilibrium at a value of a model parameter at which the extinction equilibrium destabilizes. We give criteria for the global shape of the continuum, including local direction of bifurcation and its relationship to the local stability of the bifurcating positive equilibria. We discuss a relationship between backward bifurcations and Allee effects. Illustrative examples are given.
The optimal timing of reintroducing captive populations into the wild
Ecological Economics
We examine a conservation problem in which the recovery of an endangered species depends on a captive breeding and reintroduction program. The model is applied to the case of the black-footed ferret (Mustela nigripes), an endangered species in North America reliant on captive breeding for survival. The timing of reintroduction is an important concern in these programs as there is a tradeoff between the duration (and therefore the cost) of the captive breeding program and the period the population spends in recovery and in the wild. In this paper, we develop a stylized bioeconomic model to determine the optimal reintroduction time, in which the objective is to minimize the cost of reintroduction while providing a viably-sized population in the wild. Our control variable is the timing of reintroduction, which departs from a large body of work in bioeconomics that focuses on adjustable controls that directly affect the target population. Generally, we find it is optimal to reintroduce ferrets early in a reintroduction program, although this result is contingent on species interactions and provisioning services.
Do-it-yourself networks: a novel method of generating weighted networks
Royal Society Open Science
Network theory is finding applications in the life and social sciences for ecology, epidemiology, finance and social–ecological systems. While there are methods to generate specific types of networks, the broad literature is focused on generating unweighted networks. In this paper, we present a framework for generating weighted networks that satisfy user-defined criteria. Each criterion hierarchically defines a feature of the network and, in doing so, complements existing algorithms in the literature. We use a general example of ecological species dispersal to illustrate the method and provide open-source code for academic purposes.
Landscape connectivity and predator–prey population dynamics
Landscape Ecology
Landscapes are increasingly fragmented, and conservation programs have started to look at network approaches for maintaining populations at a larger scale. We present an agent-based model of predator–prey dynamics where the agents (i.e. the individuals of either the predator or prey population) are able to move between different patches in a landscaped network. We then analyze population level and coexistence probability given node-centrality measures that characterize specific patches. We show that both predator and prey species benefit from living in globally well-connected patches (i.e. with high closeness centrality). However, the maximum number of prey species is reached, on average, at lower closeness centrality levels than for predator species. Hence, prey species benefit from constraints imposed on species movement in fragmented landscapes since they can reproduce with a lesser risk of predation, and their need for using anti-predatory strategies decreases.
Bioeconomic analysis supports the endangered species act
Journal of Mathematical Biology
The United States Endangered Species Act (ESA) was enacted to protect and restore declining fish, wildlife, and plant populations. The ESA mandates endangered species protection irrespective of costs. This translates to the restriction of activities that harm endangered populations. We discuss criticisms of the ESA in the context of public land management and examine under what circumstance banning non-conservation activity on multiple use federal lands can be socially optimal. We develop a bioeconomic model to frame the species management problem under the ESA and identify scenarios where ESA-imposed regulations emerge as optimal strategies. Results suggest that banning harmful activities is a preferred strategy when valued endangered species are in decline or exposed to poor habitat quality. However, it is not optimal to sustain such a strategy in perpetuity. An optimal plan involves a switch to land-use practices characteristic of habitat conservation plans.
Insights for managers from modeling species interactions across multiple scales in an idealized landscape
Environment Modelling & Software
In recent years there has been a shift in biodiversity efforts from protected areas to one of interlinked habitat patches across multiple land tenure types. Much work remains on how managers can intervene in such systems to achieve basic goals. We use an agent-based model of a metapopulation with predator–prey dynamics and density-dependent migration to examine theoretically the capacity of a manager to modify the ecosystem to achieve conservation goals. We explore management strategies aimed at maintaining one of two goals – local or global coexistence of species. To achieve their goal, the manager varies the connectivity between patches based on one of three strategies – the monitoring of predator, prey, or the vegetation carrying capacity of the patches. We find that strategies that lead to highest coexistence monitor mid-tier populations globally. Our goal is to use our model results to advance decision-making in conservation beyond protected areas, typical in today's conservation.
A global bifurcation theorem for Darwinian matrix models
Journal of Difference Equations and Applications
Motivated by models from evolutionary population dynamics, we study a general class of nonlinear difference equations called matrix models. Under the assumption that the projection matrix is non-negative and irreducible, we prove a theorem that establishes the global existence of a continuum with positive equilibria that bifurcates from an extinction equilibrium at a value of a model parameter at which the extinction equilibrium destabilizes. We give criteria for the global shape of the continuum, including local direction of bifurcation and its relationship to the local stability of the bifurcating positive equilibria. We discuss a relationship between backward bifurcations and Allee effects. Illustrative examples are given.
The optimal timing of reintroducing captive populations into the wild
Ecological Economics
We examine a conservation problem in which the recovery of an endangered species depends on a captive breeding and reintroduction program. The model is applied to the case of the black-footed ferret (Mustela nigripes), an endangered species in North America reliant on captive breeding for survival. The timing of reintroduction is an important concern in these programs as there is a tradeoff between the duration (and therefore the cost) of the captive breeding program and the period the population spends in recovery and in the wild. In this paper, we develop a stylized bioeconomic model to determine the optimal reintroduction time, in which the objective is to minimize the cost of reintroduction while providing a viably-sized population in the wild. Our control variable is the timing of reintroduction, which departs from a large body of work in bioeconomics that focuses on adjustable controls that directly affect the target population. Generally, we find it is optimal to reintroduce ferrets early in a reintroduction program, although this result is contingent on species interactions and provisioning services.
Do-it-yourself networks: a novel method of generating weighted networks
Royal Society Open Science
Network theory is finding applications in the life and social sciences for ecology, epidemiology, finance and social–ecological systems. While there are methods to generate specific types of networks, the broad literature is focused on generating unweighted networks. In this paper, we present a framework for generating weighted networks that satisfy user-defined criteria. Each criterion hierarchically defines a feature of the network and, in doing so, complements existing algorithms in the literature. We use a general example of ecological species dispersal to illustrate the method and provide open-source code for academic purposes.
Landscape connectivity and predator–prey population dynamics
Landscape Ecology
Landscapes are increasingly fragmented, and conservation programs have started to look at network approaches for maintaining populations at a larger scale. We present an agent-based model of predator–prey dynamics where the agents (i.e. the individuals of either the predator or prey population) are able to move between different patches in a landscaped network. We then analyze population level and coexistence probability given node-centrality measures that characterize specific patches. We show that both predator and prey species benefit from living in globally well-connected patches (i.e. with high closeness centrality). However, the maximum number of prey species is reached, on average, at lower closeness centrality levels than for predator species. Hence, prey species benefit from constraints imposed on species movement in fragmented landscapes since they can reproduce with a lesser risk of predation, and their need for using anti-predatory strategies decreases.
Bioeconomic analysis supports the endangered species act
Journal of Mathematical Biology
The United States Endangered Species Act (ESA) was enacted to protect and restore declining fish, wildlife, and plant populations. The ESA mandates endangered species protection irrespective of costs. This translates to the restriction of activities that harm endangered populations. We discuss criticisms of the ESA in the context of public land management and examine under what circumstance banning non-conservation activity on multiple use federal lands can be socially optimal. We develop a bioeconomic model to frame the species management problem under the ESA and identify scenarios where ESA-imposed regulations emerge as optimal strategies. Results suggest that banning harmful activities is a preferred strategy when valued endangered species are in decline or exposed to poor habitat quality. However, it is not optimal to sustain such a strategy in perpetuity. An optimal plan involves a switch to land-use practices characteristic of habitat conservation plans.
Varying Effects of Connectivity and Dispersal on Interacting Species Dynamics
Ecological Modelling
Increased landscape fragmentation can have deleterious effects on terrestrial biodiversity. The use of protected areas, as islands of conservation, has limits to the extent of biodiversity conservation due to isolation and scale. As a result, there is a push to transition from solely developing protected areas to policies that also support corridor management. Given the complexities of multi-species interaction on a fragmented landscape, managers need additional tools to aid in decision-making and policy development. We develop an agent-based model (ABM) of a two-patch metapopulation with local predator-prey dynamics and variable, density-dependent species dispersal. The goal is to assess how connectivity between patches, given a variety of dispersal schema for the targeted interacting populations, promotes coexistence among predators and prey. The experiment conducted suggests that connectivity levels at both extremes, representing very little risk and high risk of species mortality, do not augment the likelihood of coexistence while intermediate levels do. Furthermore, the probability of coexistence increases and spans a wide range of connectivity levels when movement is less probabilistic and more dependent on population feedback. Knowledge of these connectivity tradeoffs is essential for assessing the value of habitat corridors, and can be further elucidated under the agent-based framework.
Positions
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Society of Industrial and Applied Mathematics at Arizona State (SIAM@ASU)
President
Developed a network with neighboring communities to aid in dispersal of information on the usefulness of applied, computational, and industrial mathematics. Facilitated collaborative relationships between STEM students through research presentation in the applied fields and workshops geared towards improving technical skills.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
Association of All Graduate Students
AMLSS Approach Representative
Conveyed information, concerns, and suggestions between applied mathematics graduate students and the greater SHESC community. Planned activities and facilitated discussions between AAGS members and the SHESC faculty, administration, and the graduate college.urn:li:fs_position:(ACoAAASzb90BQb2I1xhUUA1C58tVNQ6PImmk8YA,134536114)
