Orange County NC Website
2.1 <br /> ) INTRODUCTION <br /> This nation has always had abundant food production, but part of the reason is that we've always <br /> had a new frontier available to us. When we used up the land in the Northeast, we simply moved south <br /> and west, down through the Ohio Valley, out across the Plains and on to the West Coast. When we ran <br /> out of new geographic frontiers,we relied on mechanical,chemical,and technological frontiers to enhance <br /> production. But, there is reason to believe that those rapid productivity gains of the last 50 years are <br /> tapering off. National average yields in corn production in 1991 were about equal to what they were 10 <br /> years ago - the first decade in this century when we have not had a continuing upward trend in <br /> productivity. <br /> Is the apparent leveling off of the yield curve a temporary occurrence? Or, is it an indicator that <br /> technology is running up against the natural limits of the land?In any case, it seems risky to count on <br /> continuing technological advances for future food production. Biotechnology holds great promise.A new <br /> generation of genetics, chemical, and other production enhancers may be just around the corner, but can <br /> we take the chance? It is therefore prudent to protect the land, especially our best land, as insurance. <br /> Ralph Grossi <br /> American Farmland Trust <br /> The reasons for increased interest in farmland preservation cited by Ralph Grossi, a California <br /> farmer,are not always connected to food supply. Quality of life and protection of the natural environment <br /> are increasing in importance to the public,especially to people moving from urban to rural areas.Expanded <br /> transportation networks have made the move easier, making cities and employment centers more <br /> accessible. <br /> As the shift to the countryside continues, the result is inevitable - sprawl. Whether it takes the <br /> form of half-acre or two-acre lots, whether it takes five years or five decades, the most productive lands <br /> for farms and forest are lost. The fiscal impacts of such development are painfully evident all across the <br /> country as tax rates increase to pay for the demand for public services. Farmland preservation offers a <br /> solution to this dilemma,for farmland pays more in property taxes than in demands for such services.The <br /> savings in avoided costs for future public services to developed farmland may alone be greater than the <br /> cost of preserving it. As Ralph Grossi put it - Cows don't go to school. <br /> Ultimately land use is an issue decided at the local level. If farmland is to be preserved, how do <br /> local citizens and government officials decide which land has highest priority in terms of preservation?The <br /> land evaluation and site assessment (LESA) system offers a solution. It was created in 1981 by the Soil <br /> Conservation Service as a tool to determine which lands should be given the highest level of protection. <br /> As noted previously,a LESA system consists of two parts.The first part focuses on land evaluation <br /> and provides a method for evaluating the quality or productivity of a given site. The second part, site <br /> assessment, examines specific characteristics of a site to assess its continued economic viability. A LESA <br /> system can be used to assign priorities in acquiring development rights,identify important farm and forest <br /> lands,and potential agricultural districts, and prepare and update comprehensive land use plans.The real <br /> benefit of such a system is that the most productive and economically viable farm and forest lands are <br /> preserved for future generations. <br /> The LESA system proposed for Orange County in this section is based on the premise that a <br /> "farm" is more than a farm. It provides a method for ranking the significance of any site as a farm, as a <br /> site characterized by significant natural, scenic, and/or historic resources, or as the "best of everything". <br /> 2.1.1 <br /> 2.1.1 <br />