Laserfiche WebLink
<br />Bulletin American Meteorological Society <br /> <br />cations of widespread and prolonged applications that <br />might crown their success, be assessed. <br />The pattern of results has given strongly significant <br />indications of effects on certain definite categories of <br />clouds combined with mostly weak and insignificant <br />effects averaged over the area and duration of the ex- <br />periments. Exceptions are results of the North Dakota <br />Pilot Project, which showed significant areawide in- <br />creases of the order of 12% (Dennis et al., 1974) and <br />possibly shorter programs of hygoscopic seeding in Texas <br />and Oklahoma (Bureau of Reclamation, 1976b). Thus, <br />the actual environmental impacts of Skywater activities <br />have to do mostly with certain individual storm events <br />for which a high probability of effect may be presumed. <br />Unfortunately, the means are not at hand for measuring <br />or even estimating the magnitude of these effects be- <br />cause of their extremely large variability under natural <br />conditions. For this reason, all environmental impacts <br />of Skywater activities are subliminal and defy identifi- <br />cation. The most that can be said is that they are too <br />weak to be manifest. <br />Impacts too weak to be manifest may nevertheless be <br />real and may even be environmentally and economically <br />important. Estimates of the magnitude of such subliminal <br />impacts have been made by inference from studies of <br />the environmental effects of natural precipitation varia- <br />tions. For example, it has been estimated from crop data <br />that each added centimeter of summer rainfall in west- <br />ern North Dakota increases the biomass production of <br />rangeland by '-'60 kg ha'l (Johnson, 1974). On this basis, <br />one may estimate that the North Dakota Pilot Project <br />caused some supposed increase in rangeland biomass <br />production, even though this impact is not directly <br />verifiable by observation. Such methods of estimation, <br />questionable as they are, provide the only presently <br />available means of assessing impacts of the Skywater <br />experiments or of taking such impacts into account in <br />decision making. None of the impacts so far assessed in <br />this manner are strong enough or certain enough to <br />warrant further consideration. <br /> <br />5. Current and future progress and .problems in <br />evaluating impacts <br /> <br />a. Research approach <br /> <br />Nearly all of the environmental research so far under- <br />taken in the name of weather modification has responded. <br />to particular potential hazards affecting identifiable in- <br />terest groups (such as the carrying capacity of winter <br />game ranges) or to specific environmental characteristics <br />seen as particularly important (such as the range of <br />principal forest species). This orientation was rein- <br />forced by the assessments by a working group of the <br />Ecological Society of America (Livingstone et al.) 1966, <br />p. 43) that prolonged application of precipitation man- <br />agement on even the mesoscale would produce "shifts <br />of range, local or complete extermination of species, and <br />at least an initial increase in weeds and pests." As indi- <br />cated by Steinhoff and Ives (1976), the research approach <br />was mostly aimed at understanding the physical proc- <br />esses relating these particular potential impacts to in- <br /> <br />499 <br /> <br />creased precipitation, focused on the particular impacts <br />that it was thought might be most important. <br /> <br />b. Observational approach <br /> <br />As the work progressed, the methods used became in- <br />creasingly those of observing instances of gross altera- <br />tions in precipitation and other interacting environ- <br />mental factors. For example, in the alpine zone, snow <br />fences were erected that imposed snow loads and dura- <br />tions on the local vegetation equivalent to several hun- <br />dred per cent increase in precipitation. In the forest <br />zone, the range of study plots embraced a range of <br />climatic conditions larger by orders of magnitude than <br />the anticipated effect of precipitation management. <br />This method of assessment implicitly assumes that the <br />response of the biological system is linear with the <br />strength of the stimulus. K. Harper (personal communi- <br />cation, 1976) has proposed that, on the other hand, the <br />response is probably nonlinear (increasing as a higher <br />power of the stimulus) on the grounds that most or- <br />ganisms are provided with genetic means of coping with <br />environmental variations within a limited range and <br />become severely stressed only when this range is ex- <br />ceeded. If his view is correct, linear interpolation from <br />observed gross effects of snow accumulation changes will <br />overestimate the true effects. Since the reason for exag- <br />gerating the stimulus in the first place is to bring the <br />response up to the level of observability, it may prove <br />very difficult to verify the linearity, or nonlinearity, of <br />the response to the much weaker stimuli likely to result <br />from precipitation management. <br />There is a temptation to conclude that a response too <br />weak to be significantly observed must be unimportant <br />and to proceed with an action that involves a real but <br />subliminal risk of environmental damage, or subliminal <br />opportunity for environmental benefit. However, human <br />behavior is full of instances of risk-avoidance actions in <br />which the motivation is an image in the mind of the <br />possible adverse consequences rather than a physically <br />or statistically verifiable reality; in other words, a model. <br />A model of the stimulus-response relationship, if credi- <br />ble, becomes the basis for decision making (behavior) <br />even when it cannot be objectively verified at the re- <br />sponse level actually involved. <br /> <br />c. Process approach <br /> <br />This method is potentially promlSlng for investigation <br />of relatively strong, direct effects of weather modifica- <br />tion on particular parts of the environment. In its <br />present state of development, however, it is incapable <br />of comprehending or predicting the impacts of weather <br />modification on an ecosystem as a whole because the <br />interactions among components are so complex as to <br />defy analysis and simulation. It has come to be recog- <br />nized that, in the settings so far investigated, the poten- <br />tial disturbing effect of weather modification is over- <br />whelmed by other disturbances to the status quo, some <br />man made and some natural. <br />From this state of affairs, two broad conclusions are <br />now being drawn. First, since investigation of the points <br />of specific environmental impact thought to have the <br />