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Ecology lab final

1.

Define ecology

the study of the complex interactions
between organisms and their environments

2.

Define naturalists

individuals who dedicate their time and efforts to studying and becoming experts on
plants and animals in the field

3.

What is the difference between a null and alternative hypothesis?

Null= there is no difference or correlation between what you are testing.

Alternative hypothesis= The expected difference or correlation does exist

4.

What information should be included in field note entries? (4 major components)

identification (to species when
possible), where observed (GPS coordinates and local landmark reference), and natural history details
such as structure, size, body plan, life stage, behaviour, etc, and an illustration

5.

Our provided flowchart broke the scientific method into 5 major steps. What are they?

Information, question, hypothesis, prediction, test of hypothesis (observational study, experiment, modelling)

6.

Define standard deviation

how far away from the mean the individual measurements tend to fall in a sample

7.

Define quadrat

A plot that is laid down on the surface being studied to define a standard sampling area

8.

List some important qualities for a naturalist to possess as they set about describing the natural history of an organism.

attention to detail, awareness pf surroundings, focus, an open mind, illustration skills

9.

Based on the process of the scientific method, do observations of natural history alone provide
evidence in support of hypotheses about those observations? Why or why not?

No, hypotheses must go through the scientific method

10.

Why are preserved animals important for study? (3)

They can be used to increase identification accuracy, to prepare a voucher collection, to keep repositories of genetic material for study and conservation purposes, etc

11.

What are the three field sampling techniques?

Line transect, mark-recapture, quadrat

12.

What are the variables in this equation?

M=marked upon first capture

N=population

R=Recaptured from the first round

C=total captured in second round

13.

What are the variables in this equation?

SE=standard error

s=standard deviation

n=sample size

14.

What is pseudo-replication?

When your sample size is artificially inflated because you took measurements that are not independent from each other (ex. measured the same cherry multiple times, measured cherries from only one tree).

15.

How do you avoid bias in your measurements?

By taking randomized samples.

16.

What are the two types of "error" in measurements?

Bias and random variation

17.

What does standard error help you quantify?

How confident you should be in you estimate of the population mean.

18.

What are the 4 categories of measurements/data?

Nominal, ordinal, interval, ratio

19.

What is nominal data?

Values without quantitative (a measure number) value. Normally categories that are names.

20.

What is ordinal data?

Categories that can be ranked according to some criteria.

ex. height, size, weight...

21.

What are the three types of functional responses?

Type I - linear relationship, predator eats prey in direct proportion to abundance, no handling time

Type II - prey consumed initially rises with abundance but levels off with further increase

Type III - Type II but initially prey consumed does not quicky increase with abundance (an S ish shape)

22.

What is ratio data?

Quantitative values where the scale has a true, physically meaningful, zero (ex. area, height, weight, Kelvin)

23.

What is the difference between discrete and continuous data?

Discrete data has only certain possible values while continuous data can have any value.

24.

What are the 4 ways we can evaluate distribution?

Geographical range, abundance, dispersal, survival and reproduction

25.

What statistical analysis will you use if you are looking for...

a correlation that is parametric, where the X variable is independent of Y

Linear regression

26.

What statistical analysis will you use if you are looking for...

a difference in variances

F-test

27.

What statistical analysis will you use if you are looking for...

a difference in central tendencies that are parametric, where there are 2 treatments which are not paired

t-test

28.

What statistical analysis will you use if you are looking for...

a difference in central tendencies that are parametric, where there are more than 2 treatments

ANOVA

29.

What is a hypothesis?

An educated guess to answer a question which can be experimentally supported or not.

30.

What is the difference between a null and alternative hypothesis?

Null= there is no difference is there is no difference or correlation between what you are testing.

Alternative hypothesis= The expected difference or correlation does exist

31.

Why is the null and alternative hypothesis set up good for statistical analyses?

Because it allows us to find the probability that the null hypothesis is false, which supports our alternative hypothesis.

32.

What are the 4 sources of phenotypic variation within a species?

Tolerance, acclimation, developmental responses, ecotypes.

33.

What information should be included in field note entries? (4 major components)

identification (to species when
possible), where observed (GPS coordinates and local landmark reference), and natural history details
such as structure, size, body plan, life stage, behaviour, etc, conditions of the area/time, and an illustration

34.

What is the meaning of a p-value?

The probability of getting the same results through random chance (which is why you want it to be small).

35.

What are the 4 main elements of the introduction of a research paper?

Background information, research problem, thesis statement/research question, rational and significance

36.

What are the two types of ecological study? Give a pro and a con for each.

Observational (natural)- pros: interacting variables, cheaper, more realistic, cons: less control over variables

Experiment (manipulative)- pros: more control over variables, manipulate the variables, cons: more expensive, less realistic,

37.

Define controls.

A treatment in which the independent variable(s) is/are not being manipulated.

38.

Define controlled variables.

Variables which you are manually manipulating in an experiment.

39.

What is nominal data?

Values without quantitative (a measure number) value. Normally categories that are names.

40.

What do rank abundance distributions show?

The relative abundance of species in a community in descending order (common to rare).

41.

Define the predictions of a hypothesis.

The results that we would expect to see (in a particular experiment) if the hypothesis is true.

42.

Define marginal value theorem/MTV (as it pertains to foraging).

An animal will stop foraging in a patch when the rate of energy gain drops below the average rate of energy gain in the habitat.

43.

Define functional response.

The changes in prey consumption vs prey density

44.

What are the three types of functional responses?

Type I - linear relationship, predator eats prey in direct proportion to abundance, no handling time

Type II - prey consumed initially rises with abundance but levels off with further increase

Type III - Type II but initially prey consumed does not quicky increase with abundance (an S ish shape)

45.

What does Holling's disc equation describe?

Describes the realationship between search time, handling time, and consumption ate in type II functional responses

46.

What are the variables in the Holling's disc equation? define them.

Pe - number of prey eaten

Th - handling time per prey item

Ts - total search time

Ttot - total time spent

a' - attack rate / search efficiency

N - prey density

47.

Define competition.

When organisms both do worse when together than when apart.

48.

Define interference competition.

When the mechanisms for competition are direct and physical (such as interfering with another organisms resource collection via hoarding).

49.

Define exploitation competition.

When one organism completely makes a resource unavailable to another organism (one ant species blocking off entrances to another nest).

50.

intraspecific competition, interspecific competition, which is between different species?

Interspecific competition

51.

What does Holling's disc equation describe?

Describes the relationship between search time, handling time, and consumption rate in type II functional responses

52.

What does Pielou's evenness index measure?

The evenness of a community.

53.

What do rank abundance distributions show?

The relative abundance of species in a community in descending order (common to rare).

54.

What do species accumulation curves show?

The cumulative number of species recorded (y-axis) verses the number of individuals sampled.

55.

Define marginal value theorem/MTV (as it pertains to foraging).

An animal will stop foraging in a patch when the rate of energy gain drops below the average rate of energy gain in the habitat.

56.

How do you transform your Shannon's diversity index value into a Pielou's evennesss index value?

You divide it by ln(S) or ln(species richness)

Note: species richness is number species in the community

57.

Why are soil microorganisms important?

They help break down organic matter and make nutrients available to other organisms.

58.

What are the 4 components of soil?

Minerals, decaying organic matter, air pockets and water

59.

How do the feeding activities of macroinvertebrates accelerate the process of decomposition?

By physically breaking down organic material into smaller fragments which are more accessible to soil microbes.

60.

How does macroinvertebrate burrowing allow microbes to penetrate deeper into the soil?

By creating channels.