http://web.pdx.edu/~rueterj/courses/ESM101/hybrid-week5/week5-lecture.html

banner

October 29, 2013

Week 5: "Risk and Uncertainty"
and "Games View of Decisions"

 

Themes

Uncertainty can't be reduced to risk.

Sources of uncertainty are variability, measurement/perception, and human volition.

There is substantial uncertainty of the harvest of renewable natural resources, such as grass, trees, and fish.

Games decision square ....

 

Schedule for this lecture

  1. Overview of how these two topics tie together
  2. Risk
  3. Uncertainty
  4. Games - decision squares
  5. The "commons" and growth rate of natural resources
  6. Games against nature
  7. Applying these to environmental problems

over at 11 today

 

2. RISK

Probabilistic estimate of damage based on

probability an event

probablilty of exposure

probabiliity of exposure leading to damage

example: truck carrying toxic chemicals crashes

 

3. UNCERTAINTY

broad range of possible outcomes makes it impossible to predict the future

Sources:

inherent variation or unpredictability of complex systems

inadequate methods or limts to perception and measurement

human decisions

example: fishery harvest - don't know how many fish or exactly how fast they're growing or the real efficiency of the fishing methods

 

 

Indeterminacy

is a type of uncertainty that we may cause by employing bigger projects and overwhelming energy/ power density

 

Uncertainty is different than risk

Risk can be calculated

mitigate with insurance or choosing to employ multiple methods to solve a problem (portfolio)

Uncertainty

develop scenarios - define the possible outcomes

scientific adaptive management - one tenet is to take management actions that reduce the uncertainty for future management actions

Dealing with uncertainty - identify it, don't underestimate, need different tools, ways to communicate

 

4. GAMES - DECISION SQUARES

You have to make a decision to take an action. Your opponent has to make a decision.

 

  Your roomate - buys pizza on the way home Your roomate - doesn't buy pizza
You - buy pizza on the way home Lots of pizza just the right amount of pizza
You - don't buy pizza just the right amount of pizza no pizza - everybody is upset

 

example based on using common pastures

more later

  Your neighbor - grazes early Your neighbor - grazes at approved time
You - graze early You both do poorly. Best for you,
worst for neighbor
You - graze at approved time Worst for you,
best for neighbor
Good for both of you

 

Uncertain events at the level of a home or street
  No tornado Tornado comes right down your street
You - spend money to prepare for a bad tornado You "wasted" your money You suffered only minor damage and lived through the storm
You - spend the money on a new TV You didn't waste your money and you have a cool TV in front of your lounger Your house is wrecked and it isn't the same watching your TV from a folding chair

 

Uncertainty about global outcomes
  Turns out, no global warming Global warming hits hard
You - spend money to prepare for global warming You "wasted" your money You suffered only minor damage
You - spend the money on more highways You didn't waste your money and now you have cool highways Your life is wrecked and you need all the highways in NY are under water

 

5. UNDERSTANDING THE COMMONS

Resources can be depleted or not, can exclude other users or not

Common Pool Resource - can be depleted AND can't exclude other users
Private Goods - can be depleted AND can exclude
Club - private resources that aren't depleted
Public Goods - open to all and can't be depleted

 

Simple growth model

Logistic Growth Model" has exponential growth and then limitation

positive feedback at a

negative feedback at c

steady state at d

"

sigmoidal growth curve

Harvest at mid-point

Maximum sustainable yield MSY

because net growth rate =

individual gr X population

 

MSY
Harvest too much MSY too much harvest
Harvest the right amount but when population is too low MSY - too early
How do you how much is just right?

Need to know the crop and many details.

For example: a pasture

grass growth rate - changes with height of grass (about 3" is best)

soil nutrients and water availability - changes daily

consumption by grazers (cows, etc.)

damage from grazers that reduces growth (weather dependent, other factors such as movement)

even though you can see it - there is a lot of uncertainty

Fisheries -

Forests - future weather predictions for replacement over long periods (decades)

 

Dealing with uncertainty

identify it:

 

don't underestimate it:

people think they know more than they do and that they can control stuff they can't

people confirm their own biases

need to use different tools:

decision square as a game against nature

create scenarios (102)

environmental entrepreneurism (102)

scientific adaptive management (101)

communicate about it:

not risk

sources

there are approaches we can take

 

 

CAVEAT: It is difficult to deal with uncertainty in public discourse

•People trust ideas and solutions that they are comfortable with
•They are not comfortable with uncertainty
•We need trust to develop institutions for sustainable use of resources
•Even though environmental science may “embrace uncertainty” it doesn’t mean that the public will
•Solutions might have to have some sort of recognition factor.

 

Frey 2011 - states that people have to be happy to make sustainable decisions, i.e. satisfied with their lives

happiness

 

Summary/Next steps

  • themes of this lecture
  • read the chapters - good description of fisheries and how we might use stock and flow models to address uncertainty
  • readings - background on commons, growth models
  • videos address games (prisoners dilemma and tragedy of the commons)
  • simulations - when parameters of the growth are uncertain, what can you do? Variability in carrying capacity.

Next week we will review 5 approaches, discuss how to create narratives from many views, and how to choose "modes of engagement" based on knowledge/uncertainty, control, and human values.

 

   

footer

Last updated Oct 28, 2013