Surprises and insights from long-term aquatic datasets and experiments
dc.contributor.author | Dodds, W. K. | |
dc.contributor.author | Robinson, C. T. | |
dc.contributor.author | Gaiser, E. E. | |
dc.contributor.author | Hansen, G. J. A. | |
dc.contributor.author | Powell, H. | |
dc.contributor.author | Smith, J. M. | |
dc.contributor.author | Morse, N. B. | |
dc.contributor.author | Gregory, S. V. | |
dc.contributor.author | Bell, Tisza A. S. | |
dc.contributor.author | Kratz, T. K. | |
dc.contributor.author | McDowell, W. H. | |
dc.date.accessioned | 2017-01-31T23:44:44Z | |
dc.date.available | 2017-01-31T23:44:44Z | |
dc.date.issued | 2012-08 | |
dc.description.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 anlayses 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. | en_US |
dc.identifier.citation | Dodds WK, Robinson CT, Gaiser EE, Hansen GJA, Powell H, Smith JM, Morse NB, Johnson SL, Gregory SV, Bell T, Kratz TK, McDowell WH, "Surprises and insights from long-term aquatic datasets and experiments," BioScience, August 2012 62(8):709-721 | en_US |
dc.identifier.issn | 0006-3568 | |
dc.identifier.uri | https://scholarworks.montana.edu/handle/1/12505 | |
dc.title | Surprises and insights from long-term aquatic datasets and experiments | en_US |
dc.type | Article | en_US |
mus.citation.extentfirstpage | 709 | en_US |
mus.citation.extentlastpage | 721 | en_US |
mus.citation.issue | 8 | en_US |
mus.citation.journaltitle | BioScience | en_US |
mus.citation.volume | 62 | en_US |
mus.data.thumbpage | 8 | en_US |
mus.identifier.category | Chemical & Material Sciences | en_US |
mus.identifier.category | Engineering & Computer Science | en_US |
mus.identifier.category | Life Sciences & Earth Sciences | en_US |
mus.identifier.doi | 10.1525/bio.2012.62.8.4 | en_US |
mus.relation.college | College of Agriculture | en_US |
mus.relation.college | College of Engineering | en_US |
mus.relation.college | College of Letters & Science | en_US |
mus.relation.department | Biological Sciences. | en_US |
mus.relation.department | Center for Biofilm Engineering. | en_US |
mus.relation.department | Chemical & Biological Engineering. | en_US |
mus.relation.department | Earth Sciences. | en_US |
mus.relation.department | Ecology. | en_US |
mus.relation.department | Environmental Engineering. | en_US |
mus.relation.department | Mathematical Sciences. | en_US |
mus.relation.researchgroup | Center for Biofilm Engineering. | en_US |
mus.relation.university | Montana State University - Bozeman | en_US |
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