reading check 175-188 k r species, population growth, etc.

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32 Terms

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niche generalists 3

live under a wide range of abiotic and biotic factors

equal distribution of individuals in various values and temps

adaptable and resilient to global warming

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niche specialists

narrower curve, narrow temperature range on x-axis

thrive if environmental conditions are kept constant, food is abundant

vulnerable to changes

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population/intrinsic growth rate

number of offspring an individual can produce in a given time period, minus the deaths of the individual/offspring during the same period

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biotic potential

Under ideal conditions with unlimited resources available, every population has a maximum potential for growth

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k-selected species

low intrinsic growth rate that causes the population to increase slowly until it reaches the carrying capacity of the environment

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carrying capacity

limit to the number of individuals that can be supported by an existing habitat or ecosystem, denoted as K

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r-selected species

species that has a high intrinsic growth rate, and their population typically increases rapidly

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overshoot

When a population becomes larger than the environment’s carrying capacity

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dieback

A rapid decline in a population due to death

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survivorship curve

A graph that represents the distinct patterns of species survival as a function of age

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type I survivorship

high survival throughout most of the life span,die in large numbers as they approach old age, k-selected species

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type II survivorship

relatively constant decline in survivorship throughout most of the life span, squirrels/chipmunks

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type III survivorship

low survivorship (a high death rate) early in life with few individuals reaching adulthood, r-selected species

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density dependent factors

influences an individual’s probability of survival and reproduction in a manner that depends on the size of the population

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density independent factors

has the same effect on an individual’s probability of survival and the amount of reproduction at any population size

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population growth model

Mathematical equations that can be used to predict population size at any moment in time

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fecundity

ability to produce an abundance of offspring

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exponential growth model

estimates a population’s future size after some time; based on the biotic potential and the # of reproducing individuals current;y

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4 assumptions of exponential growth model

  • ideal conditions

  • not limited resources

  • population increases at biotic potential

  • more births per unit of time

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j-shaped curve

curve of the exponential growth model when graphed

  • rate of change fixed

  • magnitude of change rapidly increases for ts

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how is exponential growth density independent

value grows by the same percentage regardless, and result is dependent on population

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logistic growth model

growth is initially exponential, but slows as the population approaches the carrying capacity

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s-shaped curve

  • shape of the logistic growth model when graphed

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logistic growth model predicts growth of what kinds of factors

density dependent factors like more competition for food/water/space bc independent r unpredictable

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what else does LGM assume

survival of offspring depends on current population size and carrying capacity of environment

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limitations of LGM 3

  • seasonal differences

  • food abundant at mating, not birth

  • overshoot → resource depletion, dieback

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explain gause experiment on density-dependent growth

  • Both grew rapidly, slowed as food became limited, leveled off, showing carrying capacity

  • Second experiment: doubled food supply → species grew faster, reaching twice the ogpopulation size

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limiting resource

population cannot live without and in quantities lower than the population would require to increase in size

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limiting resources of plants v animals

plants often limited by water and nutrients

animals by food, water, and nest sites

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density independent factors explain

impact all individuals equally regardless of population size; natural disasters, death increases no matter what

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explain oscillation

diebacks can drop populations below carrying capacity, but populations may grow again leading to repetition; stabilizes

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what other limiting factors exist and what r the long term consequences

habitat → population can decline even if food exists

recovery of habitat can take a while

resource availability changes

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