The Decision-making Process

The Goal of the Decision-making Process

The goal of making decisions is to:

Few decisions can provide all of the desired objectives and no unintended consequences. A good decision, however, provides the most desired objectives with the fewest negative tradeoffs. Historians, psychologists, and management science specialists have studied and formalized decision-making processes that increase the likelihood of making good decisions.

 

The Rational-iterative Decision-making Process

The rational-iterative approach is one such decision-making process that is particularly suitable for management of forest ecosystems. Repeated iterations of feedback between analysts and decision-makers lead to the development of an understanding of the tradeoffs among objectives for the decision-makers and an understanding of the explicit and implicit objectives of the decision-makers for the analysts. The rational-iterative decision-making process requires a number of explicit steps, although some steps may be combined or further subdivided depending on the specific situation:

 

The Steps of the Rational-iterative Decision-making Process:

Step # 1. Identify the roles of different people

Step # 2. Scope the target area

Step # 3. Determine the objectives

Step # 4. Develop measurable criteria to determine how well the objectives are being met

Step # 5. Develop as wide a range of alternatives as possible

Step # 6. Determine how well each alternative meets each objective

Step # 7. Explain the relation of each alternative to each objective to the decision-makers (and possibly stakeholders)

Step # 8. The decision-makers choose an alternative

Step # 9 The chosen alternative is turned over to the forest manager for implementation, monitoring, and feedback

 

Step # 1. Identify the roles of different people.

Each of these groups plays designated roles in the decision-making process. For large scale decisions, different people or groups of people fill each role. For smaller scale decisions, often a single person or group can assume several roles. Where a person assumes several roles, it is important that he/she understands the differences in functions of each role being assumed.

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Step # 2. Scope the target area.

[Process managers, decision-makers, analysts, stakeholders, and forest managers can contribute to this step.]

The area to be managed is studied relative to its area, productivity, species composition, age class distribution, special features, concerns, and other factors. Scoping is done both by examining existing information about the area and by visiting the area. The purpose of scoping is to develop an understanding of the system, its inputs and outputs, the component elements and the interactions among different groups of elements.

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Step # 3. Determine the objectives

[Decision-makers, analysts, stakeholders and forest managers can contribute to this step.]

Values, constraints, and other goals are collectively treated as management objectives--things to achieve (or avoid). A thorough list of objectives should be developed to make the decision-makers aware of the potential effects of their decisions. The decision-makers will later have the opportunity to ignore or give extra wieght to any objectives.

Management objectives are derived from many sources:

Specific desires of the landowner such as profitability, cash flow, or an aesthetically appealing landscape;

National laws (e.g., the Endangered Species Act) and state laws (such as Forest Practice Acts) which must be followed;

Derived objectives are concerns such as fire safety that decision-makers may not be aware of, but could significantly impact their land. They often become apparent during the scoping process.

International criteria (e.g., Montreal Process Criteria and Indicators) that provide a framework for forest management that addresses international issues such as carbon sequestration or biodiversity.

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Step # 4. Develop measurable criteria to determine how well the objectives are being met

[Analysts use their specialized knowledge to develop measurable criteria, and communicate them reiteratively to the decision-makers and stakeholders.]

Certain measurements are identified as indicating that each objective is being met. These measurable criteria help ensure that decision-makers, forest managers, analysts, and stakeholders understand the objectives and agree on when and if each objective is being met. Measurable criteria also aid analysts in examining the consequences of possible management alternatives.

Several important considerations of measurable criteria are described below:

Time period: Forest management is usually planned over an extended period, such as 50 or 100 years. It is expected that the forest plan will be revisited and improved with each management cycle (e.g., 5 or 10 years).

Positive terms: Communication of measurable criteria is most effective if objectives are expressed in positive terms, such that higher values of the measurable criteria indicate a more desirable condition.

Summary values: The measurable criterion for each objective is represented by a summary value for ease of comparison among management alternatives. Summary values allow decision-makers and stakeholders to begin developing an understanding of the consequences of different alternatives without being overwhelmed by the complexities of the analyses. The iterative process allows the analyst to show the more complex numbers leading to the summary value as they are requested. A summary value can be an average of the values for each management cycle during the planning period or it can be defined to include nonlinear or threshold conditions.

Normalizing the summary values: Communication of summary values for many objectives is more efficient if the values for each objective are normalized among alternatives. Normalization would give the highest possible value for each objective the same number (e.g., 10), and no provision of the value a zero. The value achieved for an alternative is given a proportional number, not a ranking.

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Step # 5. Develop a wide, creative range of alternatives

[Decision-makers, stakeholders, analysts and forest managers can contribute to this step.]

It is important to obtain as wide a range of alternatives for several reasons:

Several important considerations should be made when developing the range of alternatives:

Number of alternatives: A limited number of alternatives (e.g., 10) should be analyzed and presented to the decision-maker. These alternatives should span as wide a range of management scenarios as possible. (If decision-makers are interested in an alternative that is intermediate between two or more of those presented, they can request it as they narrow their preference of alternatives.)

Uncertainty and alternatives: An alternative should not be rejected from consideration because its effects on some objectives are uncertain, as shall be discussed later.

Standard alternatives: In addition to a creative range of alternatives, several standard alternatives can be presented and analyzed. These alternatives help "bound" the extremes of management alternatives. Examples include:

Naming alternatives: Value-neutral names (e.g., Alternative A, Alternative B) should be used. This will help decision-makers and stakeholders focus on the consequences of the alternatives.

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Step # 6. Determine how well each alternative meets each objective

[The analyst performs this step.]

The relation of each alternative to each objective is displayed with the summary values listed where the question marks are shown.

   Alternative  Alternative  Alternative  Alternative
  A  B  C  D

 Coarse Filter Biodiversity

? ? ? ?

 Optimum Owl Habitat

? ? ? ?

 Suitable Owl Habitat

? ? ? ?

 Commodity Fair Share

? ? ? ?

 Wind Safety

? ? ? ?

 Fire Safety

? ? ? ?

 Net Present Value

? ? ? ?

 Cash Flow Stability

? ? ? ?

 Total Employment

? ? ? ?

 Stable Employment

? ? ? ?

The interpretation of how well each alternative meets each objective is judged by specialists--professionals, scientists, or other people who are learned in various subsystems and have clear conceptions of how the subsystems will react when treated with various, alternative inputs. Specialists use tools, such as computer models (e.g., LMS) and decision keys, and their expert opinion ("mental models") in providing their assessment of the relation of each action to meeting a given objective. The necessary qualifications of the experts depend on the significance of the decision being made. For a relatively non-contentious decision, a professional forest manager may serve as the expert on all objectives--from economics to wildlife to recreation. For more potentially contentious decisions, experts from a range of disciplines may be required. In all cases, experts are responsible for the quality of their analyses--just as in any other profession (e.g., medicine, aeronautic engineering , land surveying). They are responsible for choosing which analysis tools to use and which not to use. Since all analysis tools are imperfect, the expert is responsible for interpretation of the results and, thus, should know the relative strengths and weaknesses of different analysis tools. Experts are responsible for appropriately addressing uncertainty in the consequences of each alternative. Because of the stochastic nature of ecosystems and the variance inherent in the systems approach, no alternative guarantees certain consequences. The best analysis occurs if the experts maintain their objectivity by remaining disinterested in the eventual choice of alternatives. Experts are encouraged to seek advice from other experts.

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Step # 7. Explain the relation of each alternative to each objective to the decision-makers (and possibly stakeholders).

[Analysts are responsible for conducting the explanations, with feedback from the decision-makers (and stakeholders in the case of some public forests.]

Many, creative, teaching aids can be used to give the decision-makers an understanding of the alternatives and their consequences. These aids can include:

The iterative approach allows the decision-makers to request additional or further clarification of objectives, measurable criteria, alternatives, and analyses. Such additional input, and consequent delay, is minimized if the analysts keep the decision-makers informed of each of the steps described above.

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Step # 8. Choose an alternative

[The decision-maker is responsible for the choice of an alternative, but may delegate decision-making authority to stakeholders, analysts or others.]

When the decision-makers are satisfied with the alternatives and analyses, they choose one management alternative for implementation. It is not possible to choose more than one alternative, and delaying a decision is a temporary choice of the No Action alternative. The decision-maker is free to choose any alternative; however, the choice of alternatives reveals the importance the decision-maker places on various objectives. For example, the decision-makers could not choose Alternative A from the matrix below and claim that biodiversity is their highest priority.

   Alternative  Alternative  Alternative  Alternative
  A  B  C  D

 Coarse Filter Biodiversity

4 6 5 6

 Optimum Owl Habitat

0 2 1 2

 Suitable Owl Habitat

6 6 5 5

 Commodity Fair Share

0 8 4 5

 Wind Safety

9 7 3 8

 Fire Safety

7 9 7 9

 Net Present Value

0 2 1 0

 Cash Flow Stability

3 9 6 10

 Total Employment

0 7 3 5

 Stable Employment

0 5 2 0

 

Similarly, a choice of Alternative C indicates that the decision-makers have objectives that they have not asked the analysts to consider, because this alternative does not provide the best condition for any objective.

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Step # 9 The chosen alternative is turned over to the forest manager for implementation, monitoring, and feedback.

[At this time, the forest manager becomes directly responsible to the decision-makers for implementing the chosen alternative.]

Other aspects of management are applied at this time, including:

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