Abstract
The nation's substantial wind-energy resources are unevenly distributed, with highly profitable sites being relatively rare. The absence of long-term wind speed data makes siting of wind-energy conversion systems (WECS) extremely risky. Before investing in precise anemometry, wind prospectors may arrive at a first approximation with biological indicators, which are fairly inexpensive. This article describes an effort at calibrating three characteristics of mesquite trees at two sites in Texas, with wind speeds above and below the apparent economic threshold. These indicators differ in their cost of data acquisition. A discriminant analysis indicates the accuracy of these indicators in classifying samples. The value, risks, and cost effectiveness of biological information in assessing regional wind resources is illustrated through decision analysis.
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