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Population and Community Ecology

Population Ecology 2

Terrestrial Biomes

  • A list of terrestrial biomes is mentioned, including:

    • Ice sheet and polar desert

    • Tundra

    • Taiga

    • Temperate broadleaf forest

    • Temperate steppe

    • Subtropical rainforest

    • Mediterranean vegetation

    • Monsoon forest and desert

    • Xeric shrubland

    • Dry steppe

    • Semiarid desert

    • Grass savanna

    • Tree savanna

    • Subtropical dry forest

    • Tropical rainforest

    • Alpine tundra

    • Montane forests

Life Table Example (Lacerta vivipara)

A life table for female Lacerta vivipara (common lizard) in the Netherlands is presented, including:

  • Age Class (x): The age group of the lizards.

  • Number of Survivors (Nx): The number of lizards surviving to age x, starting with an initial population of 1000.

  • Survivorship (lx): The proportion of lizards surviving to age x, calculated as lx = Nx / N_0.

  • Age-Specific Fecundity (mx): The average number of births per year per original female.

  • lxmx: The product of survivorship and age-specific fecundity for each age class.

  • Net Reproductive Rate (R0): Sum of the lx mx values, representing the average number of offspring produced by an individual during its lifetime. In this case, R_0 = 1.00.

Population Growth Parameters

  • R_0: Net reproductive rate.

  • r_{max}: Intrinsic per capita rate of increase (or population growth).

    • Calculated as births (b) minus deaths (d), r \approx b - d.

  • K: Carrying capacity.

Life-History Continuum

Trait

Low Fecundity

High Fecundity

Survivorship

High

Low

Offspring

Few, large

Many, small

Maturity

Late

Early

Body Size

Large

Small

Disease Resistance

High

Low

Predator Resistance

High

Low

Life Span

Long

Short

Population Size and Growth

  • Population size is denoted as N.

  • Examples of r values (intrinsic rate of increase) for different organisms:

    • E. coli: 59 (High r)

    • P. caudatum (Ciliate): 1.6

    • Flour beetle: 0.10 (Moderate r)

    • Domestic cow: 0.001 (Low r)

    • Beech tree: 0.000075 (Very low r)

  • Population growth equation:

    • \frac{dN}{dt} = r_{max}N

Density Dependence

  • Density dependence: Growth rate slows at high density.

  • Logistic growth equation (accounts for carrying capacity K):

    • \frac{dN}{dt} = r_{max}N(\frac{K - N}{K})

    • Alternative form: \frac{dN}{dt} = r_{max}N(1 - \frac{N}{K})

  • Illustrative example:

    • Paramecium aurelia alone

    • Paramecium caudatum alone

    • Early growth is rapid

    • Growth begins to slow

    • Later growth falls to zero

Density Dependence Examples

  • Survival of gobies declines at high population density.

  • Fecundity of sparrows declines at high population density.

  • Reindeer introduced to St. Paul Island (Alaska) experienced a population boom followed by a crash due to exceeding carrying capacity.

Density-Dependent Factors Limiting Population Size

  • Competition for Resources:

    • Food

    • Territory

    • Water

    • Light

    • Nesting sites

    • Nutrients

    • Oxygen

    • Example: Dense tree saplings compete for limited light, water, and nutrients

  • Disease and Parasitism:

    • Stress-related degradation of health

    • Infectious disease

    • Parasitism

    • Example: Pigs in dense confinement are prone to illness

  • Predation:

    • Increased predation as prey density increases

    • Example: Hare density influences lynx predation rates

  • Toxic Wastes:

    • Ammonia

    • Uric acid

    • Alcohol

    • Carbon dioxide

    • Example: Densities of fruit fly larvae are limited by ammonia build-up from their feces

  • Social Behavior:

    • Stress-mediated behavior

    • Dominance behavior

    • Mating behavior

    • Parental-care behavior

    • Predator-avoidance behavior

    • Example: Blue crab cannibalism increases with density

Hare-Lynx Population Cycle

  • The hare-lynx populations cycle every 10 years, on average; changes in lynx density lag behind changes in hare density

  • Experimental Setup:

    • Document hare population in seven study plots (similar boreal forest habitats, each 1 km^2) from 1987 to 1994 (most of a population cycle).

    • 3 plots: Unmanipulated controls

    • 1 plot: Erect an electrified fence that excludes lynx but allows free access by hares.

    • 2 plots: Supply extra food for hares.

    • 1 plot: Erect an electrified fence that excludes lynx; supply extra food for hares.

  • Predictions

    • Experimental Hypothesis:

      • Hare populations are limited by either predation or food availability. When predation and food limitation occur together, they have a greater effect than either factor does independently (predation, food availability or a combination of those two factors).

    • Null Hypothesis

      • Hare populations are not limited by predation nor food availability (Hare populations in all of the plots will be the same).

  • Conclusion: Hare populations are limited by both predation and food availability. When predation and food limitation occur together, they have a greater effect than either factor does independently.

Human Population Growth

  • Historical Overview:

    • Shows the trend of world population growth through history

    • Includes Old Stone age, New Stone Age, Bronze Age, Iron Age and Middle Ages

    • References the plague

  • Significant Milestones:

    • 1804: 1 billion

    • 1927: 2 billion

    • 1960: 3 billion

    • 1974: 4 billion

    • 1987: 5 billion

    • 1999: 6 billion

    • 2011: 7 billion

Demographic Transition Model (DTM)

  • Stages:

    • Stage 1: High birth and death rates, low population growth.

    • Stage 2: High birth rates, declining death rates, increasing population growth.

    • Stage 3: Declining birth rates, low death rates, slowing population growth.

    • Stage 4: Low birth and death rates, zero or negative population growth.

Age Structure

  • Developed countries (e.g., Sweden) have relatively even age distributions.

  • Developing countries (e.g., Honduras) have a pyramid-shaped age structure with a large base (young population).

  • Even if birth rates dropped to simple replacement of parents the world’s population would still grow due to Age structure!

Human Population Projections

  • The UN has projected human population growth to the year 2050 based on current fertility rates: 2.5 (high), 2.1 (medium), or 1.7 (low) children per woman

  • Zero Population Growth:

    • Occurs when fertility at the replacement rate is sustained for a generation.

  • The future of the human population hinges on fertility rates - on how many children each woman living today decides, or is allowed to decide, to have.

Human Carrying Capacity

  • The question of human carrying capacity is raised.

  • Food Web

    • Illustrative example of a food web including decomposers, producers, and consumers (primary, secondary, and high-level).

Community Ecology 1

  • Introduction to community ecology.

Species Interactions

Effect on Species A

Effect on Species B

Interaction Type

0

0

Neutral

  • |
    0 | Commensalism |
    |
    0 |

  • | Commensalism |
    |

  • |

  • | Competition |
    |

  • |

  • | Mutualism |
    |

  • |
    0 | Ammensalism |
    |
    0 |

  • | Ammensalism |
    |

  • |

  • | Exploitation |
    |

  • |

  • | Exploitation |

  • Interaction forms are not necessarily settled forever; populations evolve!

  • Commensalism: One species benefits while the other is unaffected.

Competition

  • Competition is a -/- interaction that lowers the fitness of the individuals involved.

  • Intraspecific Competition: Between members of the same species -> density-dependent population growth.

  • Interspecific Competition: Members of different species use the same limiting resources.

  • Density dependence: Growth rate slows at high density.

  • Logistic Growth:

    • \frac{dN}{dt} = r_{max}N(1 - \frac{N}{K})

Competitive Exclusion Principle

  • Competing species cannot co-exist in laboratory experiments.

    • Mathematical models predict that one species drives the other to extinction (in three out of four scenarios)

  • Two species using the same resources cannot coexist.

  • Assumptions:

    • Competition is complete (competitors have exactly the same resource requirements)

    • Environmental conditions constant

  • Realistic?

  • How similar can species be to coexist?

  • What about environmental factors, other than resources?

Fundamental vs. Realized Niche

  • Fundamental niche: The full range of environmental conditions and resources that a species can potentially occupy and use, especially when limiting or competitive factors are absent.

  • Realized niche: The actual space that an organism inhabits and the resources it can access as a result of limiting pressures from other species (e.g. superior competitors).

Question on Realized vs Fundamental Niche

  • Semibalanus can survive only in the lower intertidal zone.

  • Semibalanus is inferior to Chthamalus in competing for space on rocks.

  • If Chthamalus were removed, Semibalanus' realized niche would become larger.

  • Removal of Semibalanus shows that for Chthamalus, realized niche < fundamental niche.

Competition along environmental gradients

  • Illustrative Example:

    • Alpine chipmunk

    • Lodgepole pine chipmunk

    • Yellow pine chipmunk

    • Least chipmunk

Niche Differentiation

  • Natural selection selects against individuals that compete.

How do species coexist?

  • Resource partitioning

    • Over ecological time:

      • Realized niches

      • Combined effects of resource use and environmental requirements/tolerances + the actual environmental conditions (variable!) determine competitiveness

    • Over evolutionary time

      • If natural selection favors resource use at different ends of the range -> Character displacement (Evolutionary change in traits that reduces the amount of niche overlap and the amount of competition)