Using Force Analysis to Target Collection and Analysis of Environmental Information |
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Authors: | PAUL H. WHITFIELD MALCOLM J. R. CLARK |
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Affiliation: | (1) Meteorological Service of Canada-Pacific and Yukon Region, Environment Canada, 700-1200 West 73rd Avenue, Vancouver, British Columbia V6P 6H9, Canada, CA;(2) British Columbia Ministry of Environment, Lands and Parks, 2975 Jutland Ave., 2nd Floor, Victoria, British Columbia V8T 5J9, Canada, CA |
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Abstract: | Knowledge of the forces driving and modifying ecosystems can be employed in concert with signal analysis to target the data most likely to yield sensitivity and resilience information. One can optimize return of information per investment of resources by targeting segments of signals that are dominated by the force of interest, coupled with scientific understanding of the system of interest. This force analysis approach is an effective means both to design efficient new monitoring programs and to target relevant information in large data files. We present five example applications of force analysis. Three examples illustrate this approach for an evaluation of whether Canadian rivers might be sensitive to changes in climate. It was concluded that Canadian rivers appear to be sensitive to changing climate. A fourth example illustrates how automated snow pillow data may be evaluated to ascertain the sensitivity of snow accumulation to change in climate. It was concluded that snow accumulation at the site evaluated did appear to be sensitive to changing climate. The fifth example illustrates the assessment of whether a river recovers with the elimination of inputs of iron from an abandoned mine. It was concluded that resilience remained unproven since the river had not as yet restabilized. The force analysis approach focuses data collection or data evaluation on those data required to answer specific resource management questions, greatly reducing collection or consideration of data that are not relevant to that question. This approach is potentially very cost-efficient and therefore is likely to be of interest to hydrologists, climatologists, and environmental data managers. |
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Keywords: | : Data analysis Ecosystems Monitoring strategies Resilience Sampling design Sensitivity |
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