Exam 1 Flashcards

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1
Q

population

A

A population is the total number of individuals of a given biological species found in a set area at one time.

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2
Q

wildlife

A

all non-human and non-domesticated animals.

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3
Q

wildlife management

A

not predominantly about hunting and trapping. income and expenditures of state agencies are focused inordinately on game species.

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4
Q

population momentum

A

when a population’s fertility rate declines but continues to grow due to the population’s age structure.

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5
Q

vital statistics

A

which age classes are most important for reproductive success.

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6
Q

population parameters

A

quantity of interest for a population in a given area and time.

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7
Q

cornerstones for proper sampling design

A

1) randomization
2) replication
3) control

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8
Q

what affects statistical power

A

1) change the alpha value
2) effect size
3) variance
4) sample size

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9
Q

methodology of a field study

A

1) control site
2) blind study
3) survey control
4) paired sampling

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10
Q

p-value

A

probability of falsely rejecting a true null.

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11
Q

index

A

a raw count of animals or their signs

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12
Q

naked p-value

A

gives us statistical significance without giving us any other statistical information.

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13
Q

pseudoreplication

A

Pseudoreplication occurs when the number of measured values or data points exceeds the number of genuine replicates.

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14
Q

Lincoln-Peterson index

A

The assumption behind mark-recapture methods is that the proportion of marked individuals recaptured in the second sample represents the proportion of marked individuals in the population as a whole.

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15
Q

ψ=

A

probability of occupancy. an a priori expectation that a particular site will be occupied by a species as determined by some underlying process.

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16
Q

natality

A

litter size

17
Q

fecundity

A

the average number of offspring born per individual of a certain age class.

18
Q

sex allocation theory

A

although natural selection should favor a 50:50 sex ratio, its often not the case.

19
Q

3 key assumptions of lincoln-Peterson

A
  • the population is closed
  • marks are not lost
  • all specimens are equally likely to be captured
20
Q

two things that determine population closure

A
  • demographic closure
  • geographical closure
21
Q

the two components that make up total variance

A
  • process variance
  • sampling variance
22
Q

methods to estimate survival rate

A
  • life table
  • fate methods
  • band return
  • capture-recapture
23
Q

first bag limits in North America

A

Iowa, 25 prairie chickens/ day

24
Q

what ΔAIC value indicates a meaningful difference

A

≥2

25
Q

what is the rule of thumb for an electronic tracker weight on an animal

A

does not exceed 5% of the body mass of the animal with the tracker.

26
Q

what assumption must be met to use a life table approach?

A

horizontal, vertical, and detection probabilities must all be equal.

27
Q

parameter

A

quantities of the population for a given area and time.

28
Q

controlled conditions

A

making sure that the desired conditions are met.

29
Q

control site or control treatment

A

the consistent lack of a treatment

30
Q

precision

A

refers to the amount of scatter or the repeatability of the estimates when made many times.

31
Q

accuracy

A

how well the estimated mean corresponds to the true mean.

32
Q

process variation

A

a genuine biological variance that arises because conditions like temperature, disease, and moisture vary.

33
Q

spatial process variation

A

arises from differences in species interactions and habitat quality across the landscape like aspect, slope, or precipitation.

34
Q

temporal process variation

A

variation often caused by weather and interactions with other species.

35
Q

sample variance

A

arises from the inevitable result of estimating something by incomplete sampling from a population.

36
Q

real process variation

A

total variance measure - sample variance

37
Q

Akaike’s information criterion

A

quantifies parsimony and measures which model is simpler and better fit for the data.

38
Q

goodness of fit

A

a statistical test that determines how well sample data fits a distribution from a population with a normal distribution.