Long-Term Citizen-Collected Data Reveal Geographical Patterns and Temporal Trends in Lake Water Clarity Public Deposited

http://ir.library.oregonstate.edu/concern/articles/jd472z16s

To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The article was published by the Public Library of Science and is in the public domain. The published article can be found at:  http://www.plosone.org/.

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  • We compiled a lake-water clarity database using publically available, citizen volunteer observations made between 1938 and 2012 across eight states in the Upper Midwest, USA. Our objectives were to determine (1) whether temporal trends in lake-water clarity existed across this large geographic area and (2) whether trends were related to the lake-specific characteristics of latitude, lake size, or time period the lake was monitored. Our database consisted of >140,000 individual Secchi observations from 3,251 lakes that we summarized per lake-year, resulting in 21,020 summer averages. Using Bayesian hierarchical modeling, we found approximately a 1% per year increase in water clarity (quantified as Secchi depth) for the entire population of lakes. On an individual lake basis, 7% of lakes showed increased water clarity and 4% showed decreased clarity. Trend direction and strength were related to latitude and median sample date. Lakes in the southern part of our study-region had lower average annual summer water clarity, more negative long-term trends, and greater interannual variability in water clarity compared to northern lakes. Increasing trends were strongest for lakes with median sample dates earlier in the period of record (1938–2012). Our ability to identify specific mechanisms for these trends is currently hampered by the lack of a large, multi-thematic database of variables that drive water clarity (e.g., climate, land use/cover). Our results demonstrate, however, that citizen science can provide the critical monitoring data needed to address environmental questions at large spatial and long temporal scales. Collaborations among citizens, research scientists, and government agencies may be important for developing the data sources and analytical tools necessary to move toward an understanding of the factors influencing macro-scale patterns such as those shown here for lake water clarity.
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  • Lottig, N. R., Wagner, T., Henry E. N., Cheruvelil K. S., Webster K. E., et al. (2014) Long-Term Citizen-Collected Data Reveal Geographical Patterns and Temporal Trends in Lake Water Clarity. PLoS ONE 9(4): e95769. doi:10.1371/journal.pone.0095769
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  • description.provenance : Submitted by Erin Clark (erin.clark@oregonstate.edu) on 2014-08-18T18:10:36Z No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) HenryEmilyTillamookCoExtensionLong-Term.pdf: 5338139 bytes, checksum: 57d3efedd8ee488f7fc738e30cb14e7d (MD5)
  • description.provenance : Approved for entry into archive by Erin Clark(erin.clark@oregonstate.edu) on 2014-08-18T18:11:00Z (GMT) No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) HenryEmilyTillamookCoExtensionLong-Term.pdf: 5338139 bytes, checksum: 57d3efedd8ee488f7fc738e30cb14e7d (MD5)
  • description.provenance : Made available in DSpace on 2014-08-18T18:11:00Z (GMT). No. of bitstreams: 2 license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5) HenryEmilyTillamookCoExtensionLong-Term.pdf: 5338139 bytes, checksum: 57d3efedd8ee488f7fc738e30cb14e7d (MD5) Previous issue date: 2014-04-30

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