301_Chapter 13 Population Dynamics Space Time_F2024
Chapter 13: Population Dynamics over Space and Time
Key Concepts
Populations fluctuate naturally over time.
Density dependence with time delays can cause populations to be inherently cyclic.
Chance events can cause small populations to go extinct.
Metapopulations are composed of subpopulations that can experience independent population dynamics across space.
Population Fluctuations
Factors Influencing Fluctuations:
Resource availability
Predation
Competition
Disease
Parasites
Climate
Stability Examples:
Red deer population on the Isle of Rum, Scotland has remained stable for over 30 years.
Wide Fluctuations:
Algae in Lake Erie fluctuates from 0–7,000 cells per m³ within a year.
Reproductive Rates:
Smaller organisms like algae reproduce rapidly, responding quickly to environmental changes.
Larger organisms like red deer maintain homeostasis better due to lower surface-area-to-volume ratios.
Age Structure Fluctuations
Birth and Death Rates:
High or low numbers in age groups indicate past birth or death rate fluctuations.
Whitefish age analysis from 1946–1951 showed dominance of a cohort from 1947.
Long-term Age Structure Analysis:
Tree ring data shows forest composition changes over time, e.g., shifts from oak to white pine during the mid-1600s due to fire and drought.
Overshoots and Die-offs
Definitions:
Overshoot: Population growth beyond carrying capacity due to reduced resources.
Die-off: Significant decline in population density below carrying capacity, often following an overshoot.
Cyclic Population Fluctuations
Population Cycles:
Regular oscillations of population size over time, such as the gyrfalcon population cycles in Iceland recorded every 10 years.
Synchrony Across Species:
Regular cycles can be observed in different species across regions, e.g., capercaillie and grouse in Finland.
Delayed Density Dependence
Concept:
Populations may exhibit cycles due to delays in the response to environmental changes before reproduction occurs.
Modeling:
Using logistic growth models, influences of time delays (τ) increase the risk of populations overshooting or undershooting carrying capacity (K).
When rτ < 0.37, populations approach K without oscillations; between 0.37 and 1.57, damped oscillations occur; above 1.57, stable limit cycles emerge.
Extinctions in Small Populations
Vulnerability:
Small populations face higher extinction risks (e.g., bird studies on Channel Islands showed an inverse correlation between extinction probability and population size).
Growth Rate Contradictions:
Despite models suggesting small populations grow rapidly, stochastic variations lead them to higher extinction susceptibility.
Stochasticity Types:
Demographic Stochasticity: Variability in birth/death rates among individuals.
Environmental Stochasticity: Variability due to environmental changes.
Metapopulations
Definition:
A collection of local populations connected by dispersal.
Dynamics:
Each subpopulation has its own birth/death rates, and connectivity influences overall dynamics. Metapopulation dynamics are determined by colonization and extinction processes.
Patch Characteristics:
Habitat fragmentation can lead to isolated patches, impacting colonization and extinction rates.
Source-Sink Dynamics
Model Explanation:
Source patches produce excess individuals, while sink patches rely on immigration to prevent extinction.
Implications for Conservation:
Protecting habitat fragments and connecting areas can enhance metapopulation stability and species survival.
Conclusion
Metapopulation Theory Application:
Case study on black-footed ferrets demonstrates the successful implementation of metapopulation theory in managing population recovery and extinction resistance.