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Glen Canyon Dam adaptive management program. - Living Rivers

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Downstream: Adaptive Management of <strong>Glen</strong> <strong>Canyon</strong> <strong>Dam</strong> and the Colorado River Ecosystem<br />

http://www nap.edu/openbook/0309065798/html/l12.html, copyright, 2000 The National Academy of Sciences, all rights reserved<br />

112 Downstream: Adaptive Management<br />

economics has greatly expanded, and a variety of methodologies designed<br />

to measure the social values associated with environmental services have<br />

been developed.<br />

Weaknesses and Alternative Approaches<br />

Grand <strong>Canyon</strong> <strong>management</strong> can be intuitively reduced to a set of<br />

decisions about how the <strong>Canyon</strong>'s resources are to be allocated or<br />

reallocated. As mentioned above, gains and losses for any allocation decision<br />

must be compared. Weighing gains against losses across different<br />

groups of people requires that some common metric be chosen so that the<br />

units are comparable. Because losses (costs) are counted in dollars, it is<br />

common to try to convert gains (benefits) into dollar terms as well. It is<br />

not necessary to choose money as the metric, but because costs are usually<br />

in dollars, dollars are typically selected as the measure.<br />

There is a natural tendency for many to want to avoid explicitly<br />

converting the gains into dollars, especially when environmental goods are<br />

involved. Unless this is done, however, explicitly or implicitly, the<br />

necessary weighing of gains and losses will involve comparing "apples<br />

and oranges." Decision-making is paralyzed until some such comparison<br />

is explicitly or implicitly made. At the point where some resource<br />

reallocation decision is finally made, it can be inferred that somebody has<br />

undertaken to make the conversion, even if only implicitly. It is generally<br />

preferable to force transparency upon the decision process by insisting that<br />

participants make explicit their assessments of benefits as well as costs.<br />

In many decision-making contexts, including the present one,<br />

formal analysis seems to end with an inventory of probable effects of<br />

some proposed (or recent) change measured in different physical terms<br />

(e.g., a decrease of 10 percent in the population of humpback chub, an<br />

increase of 15 percent in the population of rainbow trout, and an increase<br />

of 3 percent in average annual electricity prices). It is then left to the<br />

ultimate decision-maker to infer which of these physical effects is a gain<br />

and which is a loss, who the winners and losers are, and by how much<br />

each winner or loser values these effects. These social benefit and cost<br />

calculations are typically done informally, without the support of sufficient<br />

quantitative research and in sharp contrast to the rigor with which<br />

many of the precipitating physical effects are measured.<br />

What needs to be done, and what are the prospects for doing it

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