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1 August 2012 Surprises and Insights from Long-Term Aquatic Data Sets and Experiments
Walter K. Dodds, Christopher T. Robinson, Evelyn E. Gaiser, Gretchen J. A. Hansen, Heather Powell, Joseph M. Smith, Nathaniel B. Morse, Sherri L. Johnson, Stanley V. Gregory, Tisza Bell, Timothy K. Kratz, William H. Mcdowell
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Abstract

long-term research on freshwater ecosystems provides insights that can be difficult to obtain from other approaches. Widespread monitoring of ecologically relevant water-quality parameters spanning decades can facilitate important tests of ecological principles. Unique long-term data sets and analytical tools are increasingly available, allowing for powerful and synthetic analyses across sites. long-term measurements or experiments in aquatic systems can catch rare events, changes in highly variable systems, time-lagged responses, cumulative effects of stressors, and biotic responses that encompass multiple generations. Data are available from formal networks, local to international agencies, private organizations, various institutions, and paleontological and historic records; brief literature surveys suggest much existing data are not synthesized. Ecological sciences will benefit from careful maintenance and analyses of existing long-term programs, and subsequent insights can aid in the design of effective future long-term experimental and observational efforts. long-term research on freshwaters is particularly important because of their value to humanity.

©2012 by American Institute of Biological Sciences. All rights reserved.
Walter K. Dodds, Christopher T. Robinson, Evelyn E. Gaiser, Gretchen J. A. Hansen, Heather Powell, Joseph M. Smith, Nathaniel B. Morse, Sherri L. Johnson, Stanley V. Gregory, Tisza Bell, Timothy K. Kratz, and William H. Mcdowell "Surprises and Insights from Long-Term Aquatic Data Sets and Experiments," BioScience 62(8), 709-721, (1 August 2012). https://doi.org/10.1525/bio.2012.62.8.4
Published: 1 August 2012
JOURNAL ARTICLE
13 PAGES

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KEYWORDS
data
freshwater
lakes
long term
streams
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