Extinction & Recovery Flashcards

1
Q

species extinction rates

A

100-1000x higher than the background rate

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2
Q

population extinction rate

A

10-100x greater than species extinction rate

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3
Q

what is a population?

A

a group of interbreeding individuals of the same species inhabiting the same area

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4
Q

source population

A

where local reproduction exceeds mortality and there is a net emmigration of individuals

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5
Q

sink population

A

local reproduction is insufficient to balance mortality and numbers are maintained by immigration

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6
Q

extirpation

A

loss of a single population when the last individual dies in a specific region

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7
Q

global variation in population decline

A

mean species abundance
- most affected areas are where crops are grown, cities, changes to natural envr., high climate change or other drivers

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8
Q

what if there is no historical baseline in abundance studies?

A

model past, use rates from the fossil record, reference population in ‘pristine’ state, in absence of human activites

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9
Q

Dickcissel examples

A

population map over time
- highly dynamic ( immigration, emigration, local extinction… ) = all part of normal species range

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10
Q

trends in population size maps

A

-low density population on the margin of species range
-core population is much more dense and abundant
-expectation is to collapse from outside or shrink

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11
Q

Conservation : declining populations

A

ultimate causes (often human related), interactions amongst all causes (complex) = populations can’t adapt to multiple drivers at once
-elevated & persistent mortality
-habitat destruction /fragmentation
-harvesting
-pollution
-environmental change e.g. climate

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12
Q

conservation: small populations

A

interested more in recovery, and proximate causes or random causes
- demographic
-environmental
- catastrophes

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13
Q

extinction vortex = positive feedback loop

A

causal factors lead small populations to become increasingly more vulnerable as they spiral toward extinction
- interactions of proximate and ultimate factors

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14
Q

positive distribution - abundance relationship

A

relationship between the number of sites as species occupies and the average density of individuals in occupied sites

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15
Q

distribution - abundance example
North American BIRDS

A

-larger spatial range, and larger distribution species tend to be more abundant
-smaller species range = small abundance

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16
Q

why does the relationship between distribution and abundance matter for extinction?

A
  • may change because of human disturbance
  • small range, small abundance = double jeopardy
    -rare + locally restricted would be most at risk
  • with time, driver range down = pop. size will decline too
17
Q

anthropogenic impacts on the distribution- abundance relationship

A

ex: moss carpets and arthropods
- habitat destruction drives extinction in species with low numbers and occupancy
-habitat loss ( ultimate) drives species down, constrained to fragments, species can’t maintain range
range and population size must be managed

18
Q

Pe

A

probability of extinction

19
Q

Pn = (1-Pe)^n
where n = years
Pe is probability of extinction

A

Pn is the probability of persistence

20
Q

Probability of regional persistence
- independent of one another
- x is the number of populations

A

Px = 1(Pe)^x

21
Q

population size
-Nt (current size)

A

N(t+1) = Nt +(b) irths + (i)mmigrants - (d)eath - (e)migrants

22
Q

simplest equation for population growth

A

N(t+1) = lamda x Nt
- lamda is rate of increase

23
Q

when does geometric growth occur?

A

lamda > 1.0
- population is not limited by resources, habitat, mates etc.

24
Q

environmental stochasticity

A

variation in population size caused by variation through time in growth (lamda) due to variation in weather/ climate
e.g.catastrophes ( hurricanes)

25
Q

demographic stochasticity

A

variation in population size caused by random variation among individuals in their reproductive activity, even if the environment is unchanging

26
Q

why does demographic stochasticity occur?

A

births and deaths are discrete random events that occur sequentially