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Natural Resource Damage Assessment: Methods and Cases

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gives a histogram of the claims made in cases that used the Washington state compensation<br />

schedule method. These claims are mostly moderate in size. While few exceed $25,000 (though<br />

the largest case involved a claim for over a million dollars), almost none are lower than $100.<br />

Figure 2.5 provides a scatter-plot of the value of NRD claimed against the volume of the<br />

spill in each of the cases for which the compensation schedule was used. The biggest cases were<br />

dropped from the graph in order to make the rest easier to display. While the claims do tend to be<br />

larger when the spill is bigger, the schedule is complex enough that the correlation between these<br />

two values is not perfect. For all 209 cases in the data set the correlation coefficient is 0.94, but<br />

when the largest five spills are dropped the correlation coefficient drops to 0.80.<br />

The Washington compensation schedule has many desirable features. It is inexpensive<br />

<strong>and</strong> easy to use, since it is designed to produce an estimate of damages using little more<br />

information than the type <strong>and</strong> volume of oil released <strong>and</strong> the location of the spill. Given its<br />

simplicity, this assessment method has a surprising amount of spill specificity, since the factors<br />

used to scale damages are calculated separately for each of a very large number of different<br />

geographic regions within the state. Many of the parameters used in the method were developed<br />

with the input of a knowledgeable scientific advisory board.<br />

The damage assessment formulas discussed above yield damage estimates that increase<br />

with the magnitude of the spill, proxies for the magnitude of the injury (e.g. vulnerability of<br />

different habitat types to mechanical injury <strong>and</strong> acute toxicity) <strong>and</strong> the length of time the injury is<br />

likely to persist. <strong>Damage</strong> estimates are likely to be higher in cases where the injured resources<br />

are of relatively great value. There are many places in the schedules where judgments of relative<br />

values are implicitly being made; four examples can be readily identified. First, spill<br />

vulnerability scores are higher in marine <strong>and</strong> estuarine areas if species of special importance<br />

(such as those thought to be endangered) are likely to have been affected. Second, spill<br />

vulnerability scores are higher in freshwater areas if the water system in question is important for<br />

benefits such as municipal water supply, recreation, or wildlife habitat. These scores are also<br />

higher if the water system is relatively pristine. Pristine water systems may actually be better<br />

able to recover from a spill than systems that are already highly degraded; this element of the<br />

SVS for freshwater spills seems to act as a measure of variation in the value of what is being<br />

injured. Third, the index of recreation vulnerability includes factors relevant to the social value<br />

of the damaged resource, since recreation vulnerability is a function of how many people<br />

participate in recreational activities in the area affected by a spill. Fourth, spill vulnerability<br />

scores are higher for freshwater wetl<strong>and</strong>s that are important (for example, those that harbor<br />

endangered species) or unusual.<br />

However, there is no unified, transparent mechanism through which the value to society<br />

of damaged resources is brought into the calculations; many features of the assessment schedules<br />

seem to impose arbitrary <strong>and</strong> possibly undesirable structures on the damages that are assessed.<br />

For example, the multipliers used to adjust monetary damages to lie between $1 <strong>and</strong> $50 are<br />

arbitrary; there is no a priori reason that the monetary damages caused per gallon of oil spilled in<br />

each of the four types of receiving environments should adhere to the same numerical range. In<br />

general, placing a cap on the amount of damages assessed may reduce incentives to prevent the<br />

most harmful oil spills. Also, in the marine <strong>and</strong> Columbia River compensation schedules,<br />

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