2005
DOI: 10.1080/02705060.2005.9664977
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How Long Should a Long-Term River Study Be?

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Cited by 3 publications
(9 citation statements)
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“…Thomas (2005) found that studies should be at least as long as the lifespan of large-bodied fish in the waterbody being studied. Since freshwater drum as old as 18 years have been collected from the Ohio River, it appears that these studies should be conducted minimally over a period of 20–25 years.…”
Section: How Long Is Long Enough?mentioning
confidence: 99%
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“…Thomas (2005) found that studies should be at least as long as the lifespan of large-bodied fish in the waterbody being studied. Since freshwater drum as old as 18 years have been collected from the Ohio River, it appears that these studies should be conducted minimally over a period of 20–25 years.…”
Section: How Long Is Long Enough?mentioning
confidence: 99%
“…The definition of “long term” depends on the time scale of the ecological process being studied and often, it is typically decades. In her analysis of four river systems, Thomas (2005) found that “sampling the aquatic community of a river or a site once does not provide sufficient information to assess the community status.” Thomas (2005) also found that long-term studies provide a more accurate analysis of ecosystem structure than short-term studies.…”
Section: How Long Is Long Enough?mentioning
confidence: 99%
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“…Data from the initial 4 to 5 y of the LTRWS were used for assessing potential minimum temporal variability-based timelines for the study streams (Thomas 2005). The approach included a consideration for the relevant life span of smalland large-bodied fish, the desired statistical power, and the use of the annual hydrograph as a measure of system abiotic variability.…”
Section: Multiyear Temporal Scalementioning
confidence: 99%
“…The adaptive management strategy and knowledge gained regarding temporal variability (Thomas 2005) supported a decision to reduce monitoring frequency on Codorus Creek from twice per year to once per year following the initial 6 y of the study. This data‐based decision was an important one in terms of optimizing study resources while remaining consistent in meeting study information objectives and maintaining the connectivity of current and future data with previously collected data.…”
Section: Lessons Learned—adaptive Managementmentioning
confidence: 99%