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<br />I\:)l <br />en <br />'" <br />00 <br /> <br />Since slack exists only in lettuce production, both total <br />production and amount of land used decrease to <br />accommodate the requirements of the remaining <br />crops. Hence, hoth production and land decrease <br />throughout the 900 to 1400 mg/I TDS range (see <br />sub-Appendix G for more information). <br /> <br />Table 3-68 presents a list of the shadow prices <br />generated by the model for each land clsss. Without <br />exception, all classes show a trend of decreasing value <br />over the range in question. Production restrictions <br />placed on the model require at least a certain amount <br />of production for the crops in question. In this <br />particular situation, assumed conditions of availahle <br />resources are such that the model produces every crop <br />at the lower production level except lettuce which is <br />slack. Attainment of higher levels are constrained by <br />lack of sufficient land area. Therefore, given the fact <br />that lettuce production contains the only available <br />flexibility, demand for the various classes of land has <br />peaked and is decreasing from the initial computer <br />run. With limited flexibility as prescribed by the area <br />conditions, land values decrease as net returns per <br />acre decrease causing the above mentioned trend. In <br />previQus areas, at least one or tnore crops were <br />produced at upper production limits. Inflexibility in <br />the model comes from the lack of alternatives to shift <br />acreages and production levels among several differ- <br />ent crops. In all cases, however, shadow prices are <br />only relative values and should be viewed in that <br />manner. <br /> <br />Totsl available water for agricultural purposes is <br />considered to be 400,500 ac ft. The model water <br />demands cannot exceed this figure. Model results <br />indicate that water availability is not a constraining <br />factor as considerable capacity exists betweeen <br />amount demanded and amount available. <br /> <br />Information relating to total amount of water <br />used, acre feet per acre applied, and the ratio of water <br />used to net profit is presented in Table 3-69. Total <br />amount used varies slightly as an increase is noted at <br />1200, 1800, and 1400 mg/l TDS. However, the total <br />magnitude of change.is only 191 ac ft. Still, a trend is <br />developing where amount of water used increases as <br />salinity rises. In this case, alfalfa does not dominate or <br />offset the demands of the other crops and the ratio of <br />water used to net profit decreases at an increasing <br />rate as expected. Anticipated trends also exist for <br />data presented in Table 3.70. Stated more specifically, <br /> <br />Table 8.69. Ratio of amount of water used to /and <br /> and profit all by level of TDS, Gil4 area. <br />TDS Acre Feet Ratio of Net <br />Acre Feet Dollar Return <br />(mg/!) Per Acre Per Acre Foot <br />900 162,263 5.143 44.83 <br />1000 162,263 5.143 44.81 <br />1100 162,263 5.143 44.78 <br />1200 162,278 5.144 44.75 <br />1300 162,470 5.150 44.26 <br />1400 162,454 5.149 43.89 <br />Table 8-70. Total and per acre net profit by TDS <br /> levet Gil4 area. <br />TDS Profit Per Acre <br />(mg/!) (Dollars) (Dollars) <br />900 7,274,676 230.58 <br />1000 7,270,947 230.47 <br />1100 7,266,752 230.33 <br />1200 7,262,480 230.20 <br />1300 7,190,687 227.92 <br />1400 7,130,585 226.02 <br /> <br />net profit declines as salinity increases and net profit <br />per acre also decreases. The total net profit figures for <br />each level of TDS are plotted in Figure 3.15. <br /> <br />Differences between each respective level of TDS <br />and the succeeding level are derived and accumulated. <br />Table 3-71 is constructed using these data. Fitting an <br />expouentlal function to these data points resulted in <br />an R2 of 0.95. Predicted values calculated from this <br />function are also included in the table. With respect to <br />the derived function of the order Y = beDIX, b = <br />.194497, e = 2.718281828, m = 0.009689, and x = any <br />level of TDS. Both the observed data points and the <br />predicted values are plotted in Figure 3-16. Estima- <br />tion of primary monetary damages for the TOS range <br />considered in this report will be calculated from this <br />type of function. <br /> <br />Summarizing some of the general indicators of <br />damage losses for the Gila area, total damages were <br />found to be $144,091, annual per acre damges to be <br />$4.57, annual damages per mg/I to be $288.18, and <br />annual damages per mg/I per acre to be $0.00913 (see <br /> <br />.1 <br /> <br />, <br /> <br />Table 8.68. Shadow price. of /and by class and level of TDS, Gil4 area. <br /> 900 1000 1100 1200 1300 1400 <br /> mg!l mg!l mg!l mg!1 mg!l mg!l <br /> (Dollars) (Dollars) (Dollars) (Dollars) (Dollars) (Dollars) <br />Landi 541.3 541.3 541.3 541.3 515.3 493.7 <br />Land 2 541.3 540.4 539.9 539.7 513.7 484.8 <br />Land 3 541.3 539.5 538.6 538.3 499.1 460.8 <br />Double Crop 1 541.3 541.3 541.3 541.3 515.3 493.7 <br />Double Crop 2 541.3 540.4 539.9 539.7 513.7 484.8 <br />Double Crop 3 470.0 461.2 430.0 399.5 341.9 306.4 <br /> <br />170 <br />