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Orestimba Creek Feasibility Study - Stanislaus County

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Economics Appendix – Draft Report - <strong>Orestimba</strong> <strong>Creek</strong> <strong>Feasibility</strong> <strong>Study</strong>, <strong>Stanislaus</strong> <strong>County</strong>, California – September 2012<br />

It is noted that short-term planning prices and yields should not be used for planning capital purchases<br />

that extend beyond the next production year. Review of land grant university’s agricultural economics<br />

new releases indicate that the use of short-term yields and prices is not recommended because current<br />

supply/demand conditions rarely continue for long periods of time and are poor indicators of future<br />

trends. Instead, intermediate to long term planning prices and yields are most appropriate for<br />

evaluating alternative plans. USDA Agricultural Projects to 2020, published in February, 2011 by the<br />

Office of the Chief Economist, World Agricultural Outlook Board, USDA substantiates this claim. It<br />

indicates that projections based on specific assumptions surrounding macroeconomic conditions,<br />

public policy, weather/climate, and international development, with no domestic or external shocks to<br />

global markets, suggest that the long-run development for global agriculture reflects a resumption of<br />

steady world economic growth following the global recession and continued demand for biofuels. This<br />

analysis combined with the aforementioned assumptions support increases in consumption, trade, and<br />

prices. Based on the USDA analysis it is believed that the most recent prices used in this analysis may<br />

conservatively estimate benefits of flood projects. It is, however, difficult to quantify the price and<br />

yield increases, especially while also estimating cost of production increases, to arrive at a long-term<br />

net income per acre value. Accordingly, the most recent prices, yields, and cost of production are used<br />

in this analysis and considered appropriate for this level of evaluation.<br />

Seasonality<br />

Within the computational framework used for the crop damage analysis, the season of the year that the<br />

flood occurs greatly impacts the amount of crop damages sustained. If flooding occurs early within<br />

the year, the producer may be able to re-prepare the seedbed and plant, and ultimately may realize a<br />

return on his efforts. Conversely, a flood of substantial proportion occurring at harvest time will most<br />

certainly result in complete loss for the entire year.<br />

The probability of a storm occurrence in any particular month was provided by the District hydrologist<br />

for the study area vicinity and describes the likelihood of a storm occurring for each month throughout<br />

the year. These monthly probabilities were used as input into the crop damage analysis.<br />

. The monthly probability of flood occurrence was derived from peak annual flow data secured<br />

from the Water Management Section, USACE, Sacramento District. Due to year-to-year<br />

variability flood occurrences may be as much as 4 weeks early or later than the flood occurrence<br />

midpoint. These flood occurrence probabilities for the Newman study area are displayed below<br />

showing the flood event probabilities with uncertainty associated with each month:<br />

54

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