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Chapter 52 Population Ecology
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Population ecology is the study of populations in relation to environment, including environmental influences on density and distribution, age structure, and population size A population is a group of individuals of a single species living in the same general area
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Density and Dispersion
Density is the number of individuals per unit area or volume Dispersion is the pattern of spacing among individuals within the boundaries of the population Immigration Births Determining the density of natural populations is difficult (mark & recature) In most cases, it is impractical or impossible to count all individuals in a population Density is the result of an interplay between processes that add individuals to a population and those that remove individuals Population size Deaths Emigration
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Patterns of Dispersion
Environmental and social factors influence spacing of individuals in a population In a clumped dispersion, individuals aggregate in patches A clumped dispersion may be influenced by resource availability and behavior Clumped. For many animals, such as these wolves, living in groups increases the effectiveness of hunting, spreads the work of protecting and caring for young, and helps exclude other individuals from their territory. A uniform dispersion is one in which individuals are evenly distributed It may be influenced by social interactions such as territoriality Uniform. Birds nesting on small islands, such as these king penguins on South Georgia Island in the South Atlantic Ocean, often exhibit uniform spacing, maintained by aggressive interactions between neighbors. In a random dispersion, the position of each individual is independent of other individuals Random. Dandelions grow from windblown seeds that land at random and later germinate.
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Demography Demography is the study of the vital statistics of a population and how they change over time Death rates and birth rates are of particular interest to demographers Life tables, survivorship curves and reproductive rates help demographers show change in populations over time
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Life Tables A life table is an age-specific summary of the survival pattern of a population It is best made by following the fate of a cohort The life table of Belding’s ground squirrels reveals many things about this population
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Number of survivors (log scale)
Survivorship Curves A survivorship curve is a graphic way of representing the data in a life table The survivorship curve for Belding’s ground squirrels shows a relatively constant death rate 1,000 Females Plots of the individuals that are alive at the start of each year 100 Males Number of survivors (log scale) 10 1 2 4 6 8 10 Age (years)
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Number of survivors (log scale) Percentage of maximum life span
Survivorship curves can be classified into three general types: Type I, Type II, and Type III 1,000 I 100 Number of survivors (log scale) II 10 III 1 50 100 Percentage of maximum life span
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Reproductive Rates A reproductive table, or fertility schedule, is an age-specific summary of the reproductive rates in a population It describes reproductive patterns of a population
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Concept 52.2: Life history traits are products of natural selection
Life history traits are evolutionary outcomes reflected in the development, physiology, and behavior of an organism
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Life History Diversity
Life histories are very diverse (reproductive age varies) Allocation of limited resources Number of reproductive episodes per lifetime Species that exhibit semelparity, or “big-bang” reproduction, reproduce once and die Agave and salmon Species that exhibit iteroparity, or repeated reproduction, produce offspring repeatedly Lizzards IF survival rate is LOW (unpredictable environments) semelparity is favored (increases survivorship) IF survival rate is HIGH (more stable environments) Iteroparity is favored
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LE 52-8a Selective pressures mandate trade-offs between investment in reproduction and survival Some plants produce a large number of small seeds, ensuring that at least some of them will grow and eventually reproduce Most weedy plants, such as this dandelion, grow quickly and produce a large number of seeds, ensuring that at least some will grow into plants and eventually produce seeds themselves. In animals, parental care of smaller broods may facilitate survival of offspring
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It is useful to study population growth in an idealized situation
Concept 52.3: The exponential model describes population growth in an idealized, unlimited environment It is useful to study population growth in an idealized situation Idealized situations help us understand the capacity of species to increase and the conditions that may facilitate this growth
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Per Capita Rate of Increase
If immigration and emigration are ignored, a population’s growth rate (per capita increase) equals birth rate minus death rate Zero population growth (ZPG) occurs when the birth rate equals the death rate Most ecologists use differential calculus to express population growth as growth rate at a particular instant in time: N = population size r = increase in growth rate K = carrying capacity t = time interval dN d t rN
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Exponential Growth dN rmaxN dt N = population size
Exponential population growth is population increase under idealized conditions Under these conditions, the rate of reproduction is at its maximum, called the intrinsic rate of increase Equation of exponential population growth: N = population size rmax = intrinsic rate of increase K = carrying capacity t = time interval dN dt rmaxN Exponential population growth results in a J-shaped curve When r is greater than 0, populations are growing exponenetially
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2,000 dN = 1.0N dt 1,500 dN = 0.5N dt Population size (N) 1,000 500 5 10 15 Number of generations
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The J-shaped curve of exponential growth characterizes some rebounding populations
8,000 6,000 Elephant population 4,000 2,000 1900 1920 1940 1960 1980 Year
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Concept 52.4: The logistic growth model includes the concept of carrying capacity
Exponential growth cannot be sustained for long in any population A more realistic population model limits growth by incorporating carrying capacity
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The Logistic Growth Model
Carrying capacity (K) is the maximum population size the environment can support The Logistic Growth Model In the logistic population growth model, the per capita rate of increase declines as carrying capacity is reached We construct the logistic model by starting with the exponential model and adding an expression that reduces per capita rate of increase as N increases The logistic growth equation includes K, the carrying capacity dN dt (K N) K rmax N When r is equal/less than 0, populations are growing logistically
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The logistic model of population growth produces a sigmoid (S-shaped) curve
2,000 dN = 1.0N Exponential growth dt 1,500 K = 1,500 Logistic growth Population size (N) 1,000 dN 1,500 – N = 1.0N dt 1,500 500 5 10 15 Number of generations
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Number of Paramecium/mL
The Logistic Model and Real Populations 1,000 The growth of laboratory populations of paramecia fits an S-shaped curve 800 600 Number of Paramecium/mL 400 200 5 10 15 Time (days) A Paramecium population in the lab
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Number of Daphnia/50 mL 20 40 60 80 100 120 140 160 Time (days)
Some populations overshoot K before settling down to a relatively stable density 180 150 120 Number of Daphnia/50 mL 90 60 30 20 40 60 80 100 120 140 160 Time (days) A Daphnia population in the lab
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The Logistic Model and Life Histories
The logistic model fits few real populations but is useful for estimating possible growth Life history traits favored by natural selection may vary with population density and environmental conditions K-selection, or density-dependent selection, selects for life history traits that are sensitive to population density Sickness/disease, competition, territoriality, health birth rates fall and death rates rise with population density Density-dependent birth and death rates are an example of negative feedback that regulates population growth r-selection, or density-independent selection, selects for life history traits that maximize reproduction Natural disasters birth rate and death rate do not change with population density
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Competition for Resources
LE 52-15 Competition for Resources In crowded populations, increasing population density intensifies intraspecific competition for resources 4.0 10,000 3.8 3.6 Average number of seeds per reproducing individual (log scale) 1,000 Average clutch size 3.4 3.2 3.0 100 2.8 1 10 100 10 20 30 40 50 60 70 80 Plants per m2 (log scale) Females per unit area Plantain. The number of seeds produced by plantain (Plantago major) decreases as density increases. Song sparrow. Clutch size in the song sparrow on Mandarte Island, British Columbia, decreases as density increases and food is in short supply.
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Territoriality (density dependent, k-selection)
Cheetahs are highly territorial, using chemical communication to warn other cheetahs of their boundaries In many vertebrates and some invertebrates, territoriality may limit density Oceanic birds exhibit territoriality in nesting behavior
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Health (density dependent, k-selection)
Population density can influence the health and survival of organisms In dense populations, pathogens can spread more rapidly Predation (density dependent, k-selection) As a prey population builds up, predators may feed preferentially on that species Toxic Wastes (density dependent, k-selection) Accumulation of toxic wastes can contribute to density-dependent regulation of population size Intrinsic Factors (density dependent, k-selection) For some populations, intrinsic (physiological) factors appear to regulate population size
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Population Dynamics The study of population dynamics focuses on the complex interactions between biotic and abiotic factors that cause variation in population size
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Metapopulations and Immigration
Metapopulations are groups of populations linked by immigration and emigration High levels of immigration combined with higher survival can result in greater stability in populations Song sparrow populations on a cluster of small islands make up a metapopulation. Immigration keeps the linked populations more stable than the isolated population on the larger island. 60 50 Mandarte Island 40 30 Number of breeding females 20 Small islands 10 1988 1989 1990 1991 Year
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Many populations undergo boom-and-bust cycles
Boom-and-bust cycles are influenced by complex interactions between biotic and abiotic factors Snowshoe hare 160 120 Lynx 9 Hare population size (thousands) Lynx population size (thousands) 80 6 40 3 1850 1875 1900 1925 Year
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Concept 52.6: Human population growth has slowed after centuries of exponential increase
No population can grow indefinitely, and humans are no exception
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Human population (billions)
The Global Human Population The human population increased relatively slowly until about 1650 and then began to grow exponentially 6 5 4 Human population (billions) 3 2 The Plague 1 8000 B.C. 4000 B.C. 3000 B.C. 2000 B.C. 1000 B.C. 1000 A.D. 2000 A.D.
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Annual percent increase
LE 52-23 Though the global population is still growing, the rate of growth began to slow about 40 years ago 2.2 2 1.8 1.6 2003 1.4 Annual percent increase 1.2 1 0.8 0.6 0.4 0.2 1950 1975 2000 2025 2050 Year
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Regional Patterns of Population Change
To maintain population stability, a regional human population can exist in one of two configurations: Zero population growth = High birth rate – High death rate Zero population growth = Low birth rate – Low death rate The demographic transition is the move from the first state toward the second state
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Birth or death rate per 1,000 people
50 40 30 Birth or death rate per 1,000 people 20 10 Sweden Mexico Birth rate Birth rate Death rate Death rate 1750 1800 1850 1900 1950 2000 2050 Year
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The demographic transition is associated with various factors in developed and developing countries
Family planning Volunteer contraception Delayed marriage and reproduction Education
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Age Structure One important demographic factor in present and future growth trends is a country’s age structure Age structure is the relative number of individuals at each age It is commonly represented in pyramids Age structure diagrams can predict a population’s growth trends They can illuminate social conditions and help us plan for the future
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Infant Mortality and Life Expectancy
Infant mortality and life expectancy at birth vary greatly among developed and developing countries but do not capture the wide range of the human condition
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Estimates of Carrying Capacity
The carrying capacity of Earth for humans is uncertain At more than 6 billion people, the world is already in ecological deficit
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Ecological Footprint The ecological footprint concept summarizes the aggregate land and water area needed to sustain the people of a nation It is one measure of how close we are to the carrying capacity of Earth Countries vary greatly in footprint size and available ecological capacity
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Ecological footprint (ha per person) Available ecological capacity
16 Ecological deficit 14 12 New Zealand 10 USA Germany Ecological footprint (ha per person) 8 Australia Netherlands Japan Canada Norway 6 Sweden UK 4 Spain World 2 China India 2 4 6 8 10 12 14 16 Available ecological capacity (ha per person)
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