Population Ecology
Population Ecology
Focus on understanding the dynamics of populations in relation to environmental factors and species interactions.
Learning Goals
Identify factors influencing species distribution.
Understand key emergent properties of populations.
Compute exponential population growth and concepts of carrying capacity.
Grasp key elements influencing life history evolution.
Geographic Range of Species
Every species has a geographic range that reflects where it can potentially exist.
Maximum range for most species in the U.S. is 4-24 states.
Cosmopolitan species: Found worldwide.
Endemic species: Restricted to small, specific areas.
Population Distribution
No species is truly ubiquitous; all are limited to specific habitats.
Suitable habitats are often clustered, leading to separated populations due to environmental discontinuities.
Population Definition
Populations consist of groups of individuals living in a specific habitat at a given time, typically separated by natural barriers.
Members of a population interact more with each other than with individuals from other populations.
Species Interaction Example: Channel Catfish
Prefer fast-moving, gravel-bottomed rivers;
Juvenile catfish thrive in turbid waters to avoid predation;
Adult catfish are adept swimmers; populations are concentrated in suitable river systems like those in Illinois.
Migration Behavior
Example: Salmon spawning upstream and migrating to ocean for growth.
Monarch butterflies demonstrate mass migration for overwintering and reproduction.
Emergent Properties of Populations
These arise from interactions with the environment and influence evolutionary processes.
Key aspects: Size, Density, Patterns of Dispersion, Age Structure, Sex Ratio, Variability.
Population Size
Defined as the number of individuals within a population at any given time (also called abundance).
Population Density
Number of individuals per unit area/volume.
Density often has more ecological impact than absolute numbers.
Dispersion Patterns
Three general patterns:
Clumped: Individuals grouped in favorable habitats.
Regular: Even spacing due to interactions like competition or territoriality.
Random: Absence of strong attraction or repulsion among individuals.
Age Distributions and Growth Impacts
Age structure affects future population growth; stable populations show greater proportion of individuals at certain ages.
Rapidly growing populations tend to have more young individuals.
Age Structure Examples
Comparative age structures in Kenya (rapid growth), U.S. (slow growth), and Italy (zero growth).
Implications of Ageing Population
Increased elderly leads to more retired individuals and higher healthcare costs; fewer young workers and consumers impact economies.
Sex Ratio
Proportion of individuals of each sex; critical for population growth.
Examples of species exhibiting varied sex ratios affecting reproduction, such as wasps and elk.
Variability Among Populations
Differences arise primarily from genetic and environmental factors.
Population Growth Modeling
First Law of Ecology: All populations can grow exponentially under ideal conditions.
Exponential Growth Equation
( \frac{dN}{dt} = bN - dN ); where ( b ) is birth rate and ( d ) is death rate.
( N(t) = N_0 e^{rt} ) where ( r ) is growth rate, and ( N_0 ) is initial population size.
Growth Rate Characteristics
Generally decreases with larger and longer-living organisms; influenced by reproduction types (egg layers vs. live bearers).
Carrying Capacity (K)
Maximum population size sustainable by environment under resource limitations.
Logistic Growth Model
Incorporates carrying capacity: ( dN/dT = r_{max} N (K-N)/K )
Commonly reflects actual population behaviors in lab settings, but may not accurately predict behaviors in varied environments due to factors like lag time.
Human Population Trends
Growth influenced by cultural practices, technology, and historical health improvements.
Historic vs. contemporary carrying capacities associated with agriculture and industrial developments.
Demography
Study of population structures, dynamics, mortality, and reproduction;
Malthus highlighted growth limitations based on resource availability.
Population Estimation Techniques
Complete enumeration or sampling methods such as mark-recapture.
Life Tables
Used to calculate mortality rates across cohorts and lifetime expectations, providing insights into overall population health and survival chances.
Survivorship Curves
Graphical representation of age-specific survival probabilities, reflecting different survival strategies in populations.
Type I: High survival in early and middle life.
Type II: Constant mortality risk regardless of age.
Type III: High early mortality, lower death rate as individuals age.
Considerations on Civilization Collapse
Contextualize environmental and economic sustainability in light of population growth and resource exploitation.