PAIx Lab 3- Investigating Spatial Patterns of Populations Flashcards

1
Q

what is a quadrent bsed sampling tehnique

A

Sample smaller areas of the habiat that represent tne habitat as a whole

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

what are spatial patterns

A
  • Spatial patterns may be both causes and consequences of multiple processes
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

selection methofd for location

A

random, regular, stratified random

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

random

A
  • Random: 1) every point in a study area has an equal probability of being in the sample and 2) the location of one samp does not influence the location of any other sample
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

stratified random

A
  • Stratified random: condtion 1 of random is fulfilled, but samples are spread throughout study. placement of one sample eliminates the possibility of another being located in the same grid square
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

regular

A
  • Regular: smaples placed at regular intervals along a line or interscting pints of line grid
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

basic dispersion patterns

A
  • Basic dispersion patterns: uniform, clumped, or random. Generally is clumped
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

probability distributions

A
  • Proability distributions: normal, chi-square, binomial, poisson
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

poisson distribution

A
  • Poisson distrubution helps describe the chances of occurance of a number of events in some give time interval or given space conditionally that the value of avergae number of occurances of the event is known
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

if mean=variance

A
  • Mean= variance, observed distribution matches the distribution expected unde rthe poisson probability density function
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

if mean> variance

A
  • Mean > variance: observed distribution is tending toward unifrom. More quadrents will have values close to the mean
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

if mean < variance

A
  • Mean < variance: observed distribution is tending towards clumped. Hisrogram with very long tails, l[ossibly u shaped
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what is VMR

A
  • VMR: index of dispersion
  • Used to characterize the distribution of events or objects in time or spacem and is a good measure of degrese of randomness
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what does ratio near 1 mean

A
  • Ration near 1 indicated random distribution
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

what ration much less than 1 indicate

A
  • Raion much less than 1 indicates uniform distribution
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

what does a raio much greater than 1 indicate

A
  • Ratio much greater than 1 indicated clumpsed distribution
16
Q

what is chi- square method

A
  • Chi square: method for determining significant departure from randomness uses the chi square statistic
  • Used to calculate the expected value from a data set that has observed values
  • Tests validaty of hypothesis
  • P values tells if signifcant