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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
niche specialists
narrower curve, narrow temperature range on x-axis
thrive if environmental conditions are kept constant, food is abundant
vulnerable to changes
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
biotic potential
Under ideal conditions with unlimited resources available, every population has a maximum potential for growth
k-selected species
low intrinsic growth rate that causes the population to increase slowly until it reaches the carrying capacity of the environment
carrying capacity
limit to the number of individuals that can be supported by an existing habitat or ecosystem, denoted as K
r-selected species
species that has a high intrinsic growth rate, and their population typically increases rapidly
overshoot
When a population becomes larger than the environment’s carrying capacity
dieback
A rapid decline in a population due to death
survivorship curve
A graph that represents the distinct patterns of species survival as a function of age
type I survivorship
high survival throughout most of the life span,die in large numbers as they approach old age, k-selected species
type II survivorship
relatively constant decline in survivorship throughout most of the life span, squirrels/chipmunks
type III survivorship
low survivorship (a high death rate) early in life with few individuals reaching adulthood, r-selected species
density dependent factors
influences an individual’s probability of survival and reproduction in a manner that depends on the size of the population
density independent factors
has the same effect on an individual’s probability of survival and the amount of reproduction at any population size
population growth model
Mathematical equations that can be used to predict population size at any moment in time
fecundity
ability to produce an abundance of offspring
exponential growth model
estimates a population’s future size after some time; based on the biotic potential and the # of reproducing individuals current;y
4 assumptions of exponential growth model
ideal conditions
not limited resources
population increases at biotic potential
more births per unit of time
j-shaped curve
curve of the exponential growth model when graphed
rate of change fixed
magnitude of change rapidly increases for ts
how is exponential growth density independent
value grows by the same percentage regardless, and result is dependent on population
logistic growth model
growth is initially exponential, but slows as the population approaches the carrying capacity
s-shaped curve
shape of the logistic growth model when graphed
logistic growth model predicts growth of what kinds of factors
density dependent factors like more competition for food/water/space bc independent r unpredictable
what else does LGM assume
survival of offspring depends on current population size and carrying capacity of environment
limitations of LGM 3
seasonal differences
food abundant at mating, not birth
overshoot → resource depletion, dieback
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
limiting resource
population cannot live without and in quantities lower than the population would require to increase in size
limiting resources of plants v animals
plants often limited by water and nutrients
animals by food, water, and nest sites
density independent factors explain
impact all individuals equally regardless of population size; natural disasters, death increases no matter what
explain oscillation
diebacks can drop populations below carrying capacity, but populations may grow again leading to repetition; stabilizes
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