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Studying organisms in their environment biosphere ecosystem community population organism
Population Ecology population ecosystem community biosphere organism
Life takes place in populations ,[object Object],[object Object],[object Object],[object Object],[object Object],Population Ecology: What factors affect a population?
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Factors that affect Population Size
Characterizing a Population ,[object Object],[object Object],[object Object],[object Object],[object Object],range density 1937 1943 1951 1958 1961 1960 1965 1964 1966 1970 1970 1956 Immigration from Africa ~1900 Equator
Population Range ,[object Object],[object Object],[object Object],[object Object],adaptations to polar biome adaptations to rainforest biome
At risk populations ,[object Object],[object Object],[object Object],Socorro  isopod Devil’s hole pupfish Iriomote cat Northern white rhinoceros New Guinea tree  kangaroo Iiwi Hawaiian bird Catalina  Island mahogany tree
Population Spacing (Density) ,[object Object],uniform random clumped Provides insight into the environmental associations  & social interactions of individuals in population
Clumped Pattern  (most common)
Uniform Clumped patterns May result from direct interactions between individuals in the population    territoriality
Characterizing a Population ,[object Object],[object Object],[object Object],[object Object],[object Object],range density 1937 1943 1951 1958 1961 1960 1965 1964 1966 1970 1970 1956 Immigration from Africa ~1900 Equator
Population Size ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Population growth rates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Age structure ,[object Object],What do these data imply about population growth in these countries?
Survivorship curves ,[object Object],What do these graphs tell about survival &  strategy of a species? I. High death rate in post-reproductive years II. Constant mortality rate throughout life span III. Very high early mortality but the few survivors then live long (stay reproductive) 0 25 1000 100 Human (type I) Hydra (type II) Oyster (type III) 10 1 50 Percent of maximum life span 100 75 Survival per thousand
Trade-offs: survival vs. reproduction ,[object Object],[object Object],[object Object],[object Object],[object Object],Natural selection favors a life history that maximizes  lifetime  reproductive success
Reproductive strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],K-selected r-selected
Trade-offs ,[object Object],[object Object],[object Object],r-selected K-selected “ Of course, long before you mature, most of you will be eaten.”
Life strategies & survivorship curves K-selection r-selection 0 25 1000 100 Human (type I) Hydra (type II) Oyster (type III) 10 1 50 Percent of maximum life span 100 75 Survival per thousand
Exponential Population growth ,[object Object],d N  =  r N d t N = # of individuals r = rate of growth t = time d = rate of change growth increasing at constant rate every pair has 4 offspring every pair has 3 offspring
Regulation of population size ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],swarming locusts marking territory = competition competition for nesting sites
Logistic rate of growth ,[object Object],K = carrying capacity Of course  not ! effect of  natural controls no natural controls What happens as  N approaches K ?
[object Object],[object Object],Carrying capacity What’s going  on with the  plankton? 500 400 300 200 100 0 20 0 10 30 50 40 60 Time (days) Number of cladocerans (per 200 ml) Time (years) 1915 1925 1935 1945 10 8 6 4 2 0 Number of breeding male fur seals (thousands)
Human population growth ,[object Object],1650  500 million 2005  6 billion Bubonic plague "Black Death" adding 82 million/year ~ 200,000 per day ! Doubling times 500m    1b = y (~200 yrs) 1b    2b = 80y (1850–1930) 2b    4b = 75y (1930–1975)  Is the human  population reaching carrying capacity? Industrial Revolution Significant advances in medicine through science and technology
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Population Ecology

Editor's Notes

  1. Within a population’s geographic range, local densities may vary substantially. Variations in local density are among the most important characteristics that a population ecologist might study, since they provide insight into the environmental associations and social interactions of individuals in the population. Environmental differences—even at a local level—contribute to variation in population density; some habitat patches are simply more suitable for a species than are others. Social interactions between members of the population, which may maintain patterns of spacing between individuals, can also contribute to variation in population density.
  2. The most common pattern of dispersion is clumped, with the individuals aggregated in patches. Plants or fungi are often clumped where soil conditions and other environmental factors favor germination and growth. For example, mushrooms may be clumped on a rotting log. Many animals spend much of their time in a particular microenvironment that satisfies their requirements. Forest insects and salamanders, for instance, are frequently clumped under logs, where the humidity tends to be higher than in more exposed areas. Clumping of animals may also be associated with mating behavior. For example, mayflies often swarm in great numbers, a behavior that increases mating chances for these insects, which survive only a day or two as reproductive adults. Group living may also increase the effectiveness of certain predators; for example, a wolf pack is more likely than a single wolf to subdue a large prey animal, such as a moose
  3. A uniform, or evenly spaced, pattern of dispersion may result from direct interactions between individuals in the population. For example, some plants secrete chemicals that inhibit the germination and growth of nearby individuals that could compete for resources. Animals often exhibit uniform dispersion as a result of antagonistic social interactions, such as territoriality —the defense of a bounded physical space against encroachment by other individuals. Uniform patterns are not as common in populations as clumped patterns.
  4. A Type I curve is flat at the start, reflecting low death rates during early and middle life, then drops steeply as death rates increase among older age groups. Humans and many other large mammals that produce few offspring but provide them with good care often exhibit this kind of curve. In contrast, a Type III curve drops sharply at the start, reflecting very high death rates for the young, but then flattens out as death rates decline for those few individuals that have survived to a certain critical age. This type of curve is usually associated with organisms that produce very large numbers of offspring but provide little or no care, such as long–lived plants, many fishes, and marine invertebrates. An oyster, for example, may release millions of eggs, but most offspring die as larvae from predation or other causes. Those few that survive long enough to attach to a suitable substrate and begin growing a hard shell will probably survive for a relatively long time. Type II curves are intermediate, with a constant death rate over the organism’s life span. This kind of survivorship occurs in Belding’s ground squirrels and some other rodents, various invertebrates, some lizards, and some annual plants.
  5. A Type I curve is flat at the start, reflecting low death rates during early and middle life, then drops steeply as death rates increase among older age groups. Humans and many other large mammals that produce few offspring but provide them with good care often exhibit this kind of curve. In contrast, a Type III curve drops sharply at the start, reflecting very high death rates for the young, but then flattens out as death rates decline for those few individuals that have survived to a certain critical age. This type of curve is usually associated with organisms that produce very large numbers of offspring but provide little or no care, such as long–lived plants, many fishes, and marine invertebrates. An oyster, for example, may release millions of eggs, but most offspring die as larvae from predation or other causes. Those few that survive long enough to attach to a suitable substrate and begin growing a hard shell will probably survive for a relatively long time. Type II curves are intermediate, with a constant death rate over the organism’s life span. This kind of survivorship occurs in Belding’s ground squirrels and some other rodents, various invertebrates, some lizards, and some annual plants.
  6. Decrease rate of growth as N reaches K
  7. The population doubled to 1 billion within the next two centuries, doubled again to 2 billion between 1850 and 1930, and doubled still again by 1975 to more than 4 billion. The global population now numbers over 6 billion people and is increasing by about 73 million each year. The population grows by approximately 201,000 people each day, the equivalent of adding a city the size of Amarillo, Texas, or Madison, Wisconsin. Every week the population increases by the size of San Antonio, Milwaukee, or Indianapolis. It takes only four years for world population growth to add the equivalent of another United States. Population ecologists predict a population of 7.3–8.4 billion people on Earth by the year 2025.