Using a Master Sample to Integrate Stream Monitoring Programs |
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Authors: | David P Larsen Anthony R Olsen Donald L Stevens |
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Institution: | (1) Natural Resource Ecology Lab, and Department of Natural Resource Recreation and Tourism, Colorado State University, Fort Collins, CO 80523, USA;(2) Department of Statistics, Oregon State University, Corvallis, OR 97331-4501, USA;(3) Western Ecology Division, US Environmental Protection Agency, Corvallis, OR 97333, USA;(4) Department of Statistics, Colorado State University, Fort Collins, CO 80523, USA;(5) Western Ecology Division, US Environmental Protection Agency, Corvallis, OR 97333, USA;(6) Natural Resource Ecology Lab, Colorado State University, Fort Collins, CO 80523-1499, USA |
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Abstract: | The need for aquatic resource condition surveys at scales that are too extensive to census has increased in recent years.
Statistically designed sample surveys are intended to meet this need. Simple or stratified random sampling or systematic survey
designs are often used to obtain a representative set of sites for data collection. However, such designs have limitations
when applied to spatially distributed natural resources, like stream networks. Stevens and Olsen proposed a design that overcomes
the key limitations of simple, stratified random or systematic designs by selecting a spatially balanced sample. The outcome
of a spatially balanced sample is an ordered list of sampling locations with spatial distribution that balances the advantages
of simple or stratified random samples or systematic samples. This approach can be used to select a sample of sites for particular
studies to meet specific objectives. This approach can also be used to select a “master sample” from which subsamples can
be drawn for particular needs. At the same time, these individual samples can be incorporated into a broader design that facilitates
integrated monitoring and data sharing. |
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