UNIT ____: Communities and Ecosystems            Name:______________________

Essential Idea(s):

The continued survival of living organisms including humans depends on sustainable communities

A community of organisms is a group of organisms comprising the populations of all the different

species that coexist and interact with each other in the same ecosystem due to having overlapping

habitats and niches.

Community interactions include mutualistic, competition, predation, herbivory, parasitic and pathogenic interactions, commensalism, amensalism and no overall effect.

The population size of a species can be estimated using random sampling.

Testing for association between two species using the chi-squared test with data obtained from quadrat sampling.

A community forms an ecosystem by its interactions with the abiotic environment.

Ecosystems have the potential to be sustainable over long periods of time.  

Mesocosms can be used to study the effect of variables on ecosystem sustainability.


Flowering plants depend on pollinators for reproduction. This knowledge has led to protecting entire ecosystems rather than individual species.

Definition of Biological Community:

Community:

Organism:

Population:

Species:

Coexist:

Ecosystem:

Habitat:

Niche:

Community Interactions

Type of Interaction

Effect on Species 1

Effect on Species 2

Example

Mutualism

Competition

Predation

Herbivory

Parasitism

Pathogenic

Commensalism

Amensalism

Nuetralism

Random Sampling

The aim is to select a sample, without bias, so it is representative of the population. From the sample, inferences can be made about the whole population.

Why sample populations?

How to sample populations:

Sessile

Motile


Chi-square (x2) Test of Association

The chi-squared test is a statistical tool used to determine whether there is an association between two sets of categorical data. The test involves calculating the probability (p) of an association by comparing observed values to values expected if there was no association. It is important that the data used is categorical, not continuous.

Categorical data

(can be used in a chi-square test)

Continuous data

(cannot be used in a chi-square test)

A finite number of categories or distinct groups.

Counts that don’t have intermediate values.

Numeric variables that have an infinite number of values between any two values.

The chi-squared test of association is used to determine if the presence of one species is associated with the presence of another.

NULL hypothesis:  There is no association between the two species.

ALTERNATIVE hypothesis:  There is an association between the two species.

  1.  X2 tests use a contingency table in which the quadrats with each species present and/or absent are recorded.
  2. Calculate the expected value for each cell of the contingency table if the null hypothesis were true, using this formula:

  1. Finally, calculate the chi-square (X2) value for each cell in the contingency table by using the formula →
  2. Compare the chi-square value to a table of critical values to see if the result is significant at p = 0.05.

Table of critical values for the chi-square test

If the calculated value is lower than the 0.05 level of significance, accept the null hypothesis and conclude that there is NO significant association between the variables.   If the calculated value is higher than the 0.05 level of significance, reject the null hypothesis and conclude that there IS a significant association between the variables.  ​

You may check your work by using an online chi-square calculation tool , the TI calculator, or the ‘CHITEST’ function on Excel and Sheets to compare the expected to observed values.

Chi-Square NOTES

Null Hypothesis:

Alternative Hypothesis:

OBSERVED 

Species A present

Species A not present

Total

Species B present

Species B not present

Total

EXPECTED 

Species A present

Species A not present

Total

Species B present

Species B not present

Total

X2 Calculations 

Species A present

Species A not present

Species B present

Species B not present

Calculated X2 = _________________________________ 

Degrees of Freedom: ________ 

Critical X2 Value: _________

Conclusion:

Chi-Square Practice Problem #1  

Null Hypothesis:

Alternative Hypothesis:

OBSERVED 

Species A present

Species A not present

Total

Species B present

Species B not present

Total

EXPECTED 

Species A present

Species A not present

Total

Species B present

Species B not present

Total

X2 Calculations 

Species A present

Species A not present

Species B present

Species B not present

Calculated X2 = _________________________________ 

Degrees of Freedom: ________ 

Critical X2 Value: _________

Conclusion:

Chi-Square Practice Problem #2  

Null Hypothesis:

Alternative Hypothesis:

OBSERVED 

Species A present

Species A not present

Total

Species B present

Species B not present

Total

EXPECTED 

Species A present

Species A not present

Total

Species B present

Species B not present

Total

X2 Calculations 

Species A present

Species A not present

Species B present

Species B not present

Calculated X2 = _________________________________ 

Degrees of Freedom: ________ 

Critical X2 Value: _________

Conclusion:

A community forms an ECOSYSTEM by its interactions with the abiotic environment

ABIOTIC

Physical Factors

Chemical Factors

BIOTIC


Sustainability

Definition:

Requirements of a Sustainable Ecosystem:

Nutrient Availability

BIG IDEA!

Detoxification of Waste Products

Energy

Supply

BIG IDEA!

Mesocosm

Definition:

Description:

  • Enclosed environments used to model larger ecosystems
  • Closed system where energy enters and leaves but matter does not (matter cycles)
  • Can be self sustaining over long periods of time
  • Can have better control of variables than in open systems or actual ecosystems
  • Easier to manipulate variables compared to an open system or actual ecosystem

Example:

http://ecx.images-amazon.com/images/I/51cfIX9Ow4L._SX300_.jpg

Conservation