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Linking research and education
Integration
of population and evolutionary ecology based
on first principles
Liz Pásztor, Zoltán Botta-Dukát, Tamás Czárán, Gabriella Magyar, Géza Meszéna
Eötvös University of Sciences, Budapest, Hungary
Linking research and education
Outline:
Introduction
Integration
• R&E
• First Principles
• Pop. Eco & Evo
• Textbook
First Principles
Book sections
Example chapter
Outlook
General theory
Textbook
First principles
Introduction
Integration
• R&E
• First Principles
• Pop. Eco & Evo
• Textbook
First Principles
Book sections
Example chapter
Outlook
General, model-free, robust statements,
that must be valid also in structured and
fluctuating environments.
Book section
•
I.
II.
• II.
• III.
• III.
• III.
•
Principle of exponential population
growth
Principle of growth regulation
Principle of robust coexistence
Principle of inherited variations
Principle of natural selection
Principle of allocation
Population & evolutionary ecology
Book sections
Introduction
Integration
• R&E
• First Principles
• Pop. Eco & Evo
• Textbook
First Principles
Book sections
Example chapter
Outlook
Textbook: Chapter modules
Introduction
Integration
• R&E
• First Principles
• Pop. Eco & Evo
• Textbook
• structure
• example
First Principles
Book sections
Example chapter
Outlook
Introduction: the context
Main text …
Block:
• case study
• method
• model
Notes:
something interesting
Outlook:
• main research lines
• further readings
• hot problems
Messages
•
•
•
Textbook: examples
Chapter title
Introduction
Integration
• R&E
• First Principles
• Pop. Eco & Evo
• Textbook
• structure
• example
First Principles
Book sections
Example chapter
Outlook
Introduction
Main text
Figure
Textbook: examples
Introduction
Integration
• R&E
• First Principles
• Pop. Eco & Evo
• Textbook
• structure
• example
First Principles
Book sections
Example chapter
Outlook
Note:
Principle of
natural selection
Main text
Figure
Principle of exponential growth
Populations of living organisms are able to grow
exponentially in number.
Introduction
Integration
First Principles
•
•
•
•
•
•
Exponential growth
Growth regulation
Robust coexistence
Inherited variations
Natural selection
Allocation
Book sections
Example chapter
Outlook
Principle of growth regulation
Exponential population growth occurs only
temporarily in nature. The mean rate of population
increase is regulated.
Principle of robust coexistence
Populations may coexist if their growth regulation
differs. The larger the difference in their regulation
the more robust their coexistence is.
Principle of inherited variations
Introduction
Integration
First Principles
•
•
•
•
•
•
Exponential growth
Growth regulation
Robust coexistence
Inherited variations
Natural selection
Allocation
Book sections
Example chapter
Outlook
Errors always occur when the genetic material is
replicated. Repeated emergence of inherited
variation within populations is unavoidable.
Principle of natural selection
If there is difference between the population growth
rates of individuals with different heritable traits, the
one with the higher growth rate exponentially
outgrows the one with the smaller growth rate.
Principle of allocation
Life-history traits increasing the population growth
rate (fitness) are in trade-off, that is, they can
increase at the expense of each other only.
Population & evolutionary ecology
Book sections
Introduction
Integration
First Principles
Book sections
Example chapter
Outlook
II.3. Coexistence in space and time
II.4. Ecological webs
II.1. Regulated growth of populations
II.2. Competition and
coexistence
II. Regulation and coexistence
I. Population explosions
I.1. Exponential capacity of
population increase
I.2. Capacity of spreading
III. Selection, adaptation and genetic variations
III.2. Rapid selection and
spatial differentiation
III.3. Individual & population
interactions and natural selection
III.1. Inherited variations
Principle of robust coexistence
Introduction
Integration
First Principles
Book sections
Example chapter
Outlook
Populations sharing regulating factors may coexist if
their growth regulation differs. The larger the
difference is in their regulation the more robust their
coexistence is.
Research areas:
Population dynamics, population genetics, population
interactions (competition), niche theory, biogeography,
evolutionary ecology
Key concepts:
geographical distribution, competitors, competitive exclusion,
exploitative and interference competition,
fundamental and realized ecological tolerance (Hutchinson’s
niche concept), limiting similarity, robust coexistence,
components of the feed-back loop, impact and sensitivity
II.2. Competition and coexistence
Introduction
Integration
First Principles
Book sections
Example chapter
Outlook
Sub-chapters:
1. Geographical distribution and competition
1. note: Survival of the fitter in populations with
exponential growth
2. Competition for a single regulating factor
2. note: Survival of the fitter in populations with
logistic growth
1. block: Basic models of interspecific competition
Lotka-Volterra models
Tilman model of competition for two nutrients:
Graphic representation
Components of population regulation
3. Competition for more regulating factors
4. Strength of interspecific competition and the
robustness of coexistence
5. Niche and realized ecological tolerance
II.2. Competition and coexistence
Introduction
Integration
First Principles
Book sections
Example chapter
Outlook
II.2. Competition and coexistence
Introduction
Integration
First Principles
Book sections
Example chapter
Outlook
Competition and coexistence
Outlook

Introduction
Integration
First Principles
Book sections
Example chapter
Outlook
Ecology:
„The science of the struggle for existence.”
Haeckel, 1866; Cooper, 2003

Regulation of population growth is a
must.

A general theory is not only possible
but it is also very useful.
Integration, operationality, disciplinarity
Linking research and education
Effective education requires clarity and a
coherent presentation.
Clarity and coherent presentation improves
research.
Special thanks to the co-editor and
co-authors of the „Ecology” book!
Oborny Beáta
Kalapos Tibor
Jordán Ferenc
Kun Ádám
Major Ágnes
Scheuring István
Hahn István