Have a personal or library account? Click to login
Data Quality from a Community-Based, Water-Quality Monitoring Project in the Yukon River Basin Cover

Data Quality from a Community-Based, Water-Quality Monitoring Project in the Yukon River Basin

Citizen Science: Theory and Practice
Volume 3 (2018): Issue 2
By: Nicole Herman-Mercer,  Ronald Antweiler,  Nicole Wilson,  Edda Mutter,  Ryan Toohey and  Paul Schuster  
Open Access
|Aug 2018

References

  1. 1Agmon, N and Ahituv, N. 1987. Assessing data reliability in an information system. Journal of Management Information Systems, 4(2): 34–44. DOI: 10.1080/07421222.1987.11517792
    Back to article
  2. 2Anderson, TW and Darling, DA. 1952. Asymptotic theory of certain “goodness of fit” criteria based on stochastic processes. The Annals of Mathematical Statistics, 193–212. DOI: 10.1214/aoms/1177729437
    Back to article
  3. 3Anderson, TW and Darling, DA. 1954. A test of goodness of fit. Journal of the American Statistical Association, 49(268): 765–769. DOI: 10.1080/01621459.1954.10501232
    Back to article
  4. 4Arctic Climate Impact Assessment (ACIA). 2005. Arctic Climate Impact Assessment. Cambridge University Press, Cambridge, UK.
    Back to article
  5. 5Arctic Great Rivers Observatory. 2016a. Arctic GRO I Project | Field collection and analytical details. Available at: http://www.arcticgreatrivers.org/index.html [Last accessed 12/2/2016].
    Back to article
  6. 6Arctic Great Rivers Observatory. 2016b. Arctic GRO I Project | Field collection and analytical details. Available at: http://www.arcticgreatrivers.org/data.html [Last accessed 12/2/2016].
    Back to article
  7. 7Arctic Great Rivers Observatory project (NSF-1107774). 2017. Available at: http://www.arcticgreatrivers.org/ [Last accessed April, 2017].
    Back to article
  8. 8Au, J, Bagchi, P, Chen, B, Martinez, R, Dudley, SA and Sorger, GJ. 2000. Methodology for public monitoring of total coliforms, Escherichia coli and toxicity in waterways by Canadian high school students. Journal of Environmental Management, 58(3): 213–230. DOI: 10.1006/jema.2000.0323
    Back to article
  9. 9Ball, A. 2012. Review of Data Management Lifecycle Models. University of Bath, Bath, UK.
    Back to article
  10. 10Bird, TJ, Bates, AE, Lefcheck, JS, Hill, NA, Thomson, RJ, Edgar, GJ, Stuart-Smith, RD, Wotherspoon, S, Krkosek, M, Stuart-Smith, JF and Pecl, GT. 2014. Statistical solutions for error and bias in global citizen science datasets. Biological Conservation, 173: 144–154. DOI: 10.1016/j.biocon.2013.07.037
    Back to article
  11. 11Bliss, J, Aplet, G, Hartzell, C, Harwood, R, Jahnige, P, Kittredge, D, Lewandowski, S and Soscia, ML. 2001. Community-Based Ecosystem Monitoring. Journal of Sustainable Forestry, 12(3–4): 143–167. DOI: 10.1300/J091v12n03_07
    Back to article
  12. 12Bonney, R, Shirk, JL, Phillips, TB, Wiggins, A, Ballard, HL, Miller-Rushing, AJ and Parrish, JK. 2014. Next steps for citizen science. Science, 343(6178): 1436–1437. DOI: 10.1126/science.1251554
    Back to article
  13. 13Brabets, TP and Walvoord, MA. 2009. Trends in streamflow in the Yukon River Basin from 1944 to 2005 and the influence of the Pacific Decadal Oscillation. Journal of Hydrology, 371(1–4): 108–119. DOI: 10.1016/j.jhydrol.2009.03.018
    Back to article
  14. 14Brabets, TP, Wang, B and Meade, RH. 2000. Environmental and hydrologic overview of the Yukon River Basin, Alaska and Canada (Water-Resources Investigations Report No. 99-4204). US Geological Survey [https://ak.water.usgs.gov/Publications/pdf.reps/wrir99.4204.pdf].
    Back to article
  15. 15Buckland-Nicks, A, Castledon, H and Conrad, C. 2016. Aligning Community-Based Water Monitoring Program Designs with Goals for Enhanced Environmental Management. Journal of Science Communication (JCOM), 15(3): A01.
    Back to article
  16. 16Cohn, JP. 2008. Citizen science: Can volunteers do real research? AIBS Bulletin, 58(3): 192–197. DOI: 10.1641/B580303
    Back to article
  17. 17Conrad, CC and Hilchey, KG. 2011. A review of citizen science and community-based environmental monitoring: Issues and opportunities. Environmental Monitoring and Assessment, 176(1–4): 273–291. DOI: 10.1007/s10661-010-1582-5
    Back to article
  18. 18Danielsen, F, Jensen, PM, Burgess, ND, Altamirano, R, Alviola, PA, Andrianandrasana, H, Brashares, JS, Burton, AC, Coronado, I, Corpuz, N and Enghoff, M. 2014. A multicountry assessment of tropical resource monitoring by local communities. BioScience, 64(3): 236–251. DOI: 10.1093/biosci/biu001
    Back to article
  19. 19Environmental Protection Agency. 2017. Indian Environmental General Assistance Program. Available at: https://www.epa.gov/tribal/indian-environmental-general-assistance-program-gap [Last Accessed February 2018].
    Back to article
  20. 20Fore, LS, Paulsen, K and O’Laughlin, K. 2001. Assessing the performance of volunteers in monitoring streams. Freshwater Biology, 46(1): 109–123. DOI: 10.1111/j.1365-2427.2001.00640.x
    Back to article
  21. 21Freitag, A, Meyer, R and Whiteman, L. 2016. Strategies employed by citizen science programs to increase the credibility of their data. Citizen Science: Theory and Practice, 1(1).
    Back to article
  22. 22Gibbons, JD. 1976. Nonparametric methods for quantitative analysis. Holt, Rinehart and Winston.
    Back to article
  23. 23Gordeev, VV, Martin, JM, Sidorov, IS and Sidorova, MV. 1996. A reassessment of the Eurasian river input of water, sediment, major elements, and nutrients to the Arctic Ocean. American Journal of Science, 296(6): 664–691. DOI: 10.2475/ajs.296.6.664
    Back to article
  24. 24Herman-Mercer, NM. 2016. Water-quality data from the Yukon River Basin in Alaska and Canada. US Geological Survey data release. DOI: 10.5066/F77D2S7B
    Back to article
  25. 25Holmes, RM, McClelland, JW, Peterson, BJ, Tank, SE, Bulygina, E, Eglinton, TI, Gordeev, VV, Gurtovaya, TY, Raymond, PA, Repeta, DJ and Staples, R. 2012. Seasonal and annual fluxes of nutrients and organic matter from large rivers to the Arctic Ocean and surrounding seas. Estuaries and Coasts, 35(2): 369–382. DOI: 10.1007/s12237-011-9386-6
    Back to article
  26. 26Legg, CJ and Nagy, L. 2006. Why most conservation monitoring is, but need not be, a waste of time. Journal of Environmental Management, 78(2): 194–199. DOI: 10.1016/j.jenvman.2005.04.016
    Back to article
  27. 27Lisitsysn, AP. 1969. Recent Sedimentation in the Bering Sea. National Science Foundation, The Israel Program for Scientific Translations (translated from Russian), Washington, DC.
    Back to article
  28. 28Long, HK, Daddow, RL and Farrar, JW. 1998. US Geological Survey Standard Reference Sample Project – Performance Evaluation of Analytical Laboratories (Fact Sheet FS-031-98) US Geological Survey.
    Back to article
  29. 29Mattson, MD, Walk, MF, Kerr, PA, Slepski, AM, Zajicek, OT and Godfrey, PJ. 1994. Quality assurance testing for a large scale volunteer monitoring program: The acid rain monitoring project. Lake and Reservoir Management, 9(1): 10–13. DOI: 10.1080/07438149409354715
    Back to article
  30. 30Mellanby, K. 1974. A water pollution survey, mainly by British school children. Environmental Pollution (1970), 6(3): 161–173. DOI: 10.1016/0013-9327(74)90054-8
    Back to article
  31. 31National Research Council. 2014. The Arctic in the Anthropocene: Emerging research questions. National Academies Press.
    Back to article
  32. 32Nilsson, C, Reidy, CA, Dynesisu, M and Revenga, C. 2005. Fragmentation and flow regulation of the world’s large river systems. Science, 308(5720): 405–408. DOI: 10.1126/science.1107887
    Back to article
  33. 33Reynoldson, T, Hampel, L and Martin, J. 1986. Biomonitoring networks operated by schoolchildren. Environmental Pollution Series A, Ecological and Biological, 41(4): 363–380. DOI: 10.1016/0143-1471(86)90027-9
    Back to article
  34. 34Riesch, H and Potter, C. 2013. Citizen science as seen by scientists: Methodological, epistemological and ethical dimensions. Public Understanding of Science, 23(1): 107–120. DOI: 10.1177/0963662513497324
    Back to article
  35. 35Rousseeuw, PJ and Van Zomeren, BC. 1990. Unmasking multivariate outliers and leverage points. Journal of the American Statistical Association, 85(411): 633–639. DOI: 10.1080/01621459.1990.10474920
    Back to article
  36. 36Schuster, PF, Maracle, KB and Herman-Mercer, N. 2010. Water quality in the Yukon River Basin, Alaska, water years 2006–2008 (Open-File Report No. 2010-1241). US Geological Survey.
    Back to article
  37. 37Shelton, AM. 2013. The accuracy of water quality monitoring data: A comparison between citizen scientists and professionals. Thesis (Master’s), St. Mary’s University, Halifax, Nova Scotia.
    Back to article
  38. 38Striegl, RG, Dornblaser, MM, Aiken, GR, Wickland, KP and Raymond, PA. 2007. Carbon export and cycling by the Yukon, Tanana, and Porcupine rivers, Alaska, 2001–2005. Water Resources Research, 43(2). DOI: 10.1029/2006WR005201
    Back to article
  39. 39Toohey, RC, Herman-Mercer, NM, Schuster, PF, Mutter, EA and Koch, JC. 2016. Multidecadal increases in the Yukon River Basin of chemical fluxes as indicators of changing flowpaths, groundwater, and permafrost. Geophysical Research Letters, 43(23). DOI: 10.1002/2016GL070817
    Back to article
  40. 40Turnipseed, DP and Sauer, VB. 2010. Discharge measurements at gaging stations: US Geological Survey Techniques and Methods, book 3, chap. A8, 87 p. (Also Available at: https://pubs.usgs.gov/tm/tm3-a8/).
    Back to article
  41. 41US Geological Survey. 2015. Tracking Water Quality of the Nation’s Rivers and Streams. Available at: https://cida.usgs.gov/quality/rivers/home [Last accessed March, 2017).
    Back to article
  42. 42US Geological Survey. 2016. National Water Quality Laboratory. Available at: https://nwql.usgs.gov/ [Last accessed June, 2017].
    Back to article
  43. 43US Geological Survey. 2017. National Water Information System. Available at: https://waterdata.usgs.gov/nwis [Last accessed March, 2017].
    Back to article
  44. 44US Geological Survey. Variously dated. National field manual for the collection of water-quality data: US Geological Survey Techniques of Water-Resources Investigations, book 9, chaps. A1–A10, Available at: http://pubs.water.usgs.gov/twri9A.
    Back to article
  45. 45Walvoord, MA and Striegl, RG. 2007. Increased groundwater to stream discharge from permafrost thawing in the Yukon River basin: Potential impacts on lateral export of carbon and nitrogen. Geophysical Research Letters, 34(12). DOI: 10.1029/2007GL030216
    Back to article
  46. 46Wand, Y and Wang, RY. 1996. Anchoring data quality dimensions in ontological foundations. Communications of the ACM, 39(11): 86–95. DOI: 10.1145/240455.240479
    Back to article
  47. 47Wilson, NJ. 2017. Indigenous Observation Network: Evaluating Community-Based Water Quality Monitoring in the Yukon River Basin. Community Report, University of British Columbia, Vancouver, BC, CAN.
    Back to article
  48. 48Wilson, NJ, Mutter, E, Inkster, J and Satterfield, TA. 2018. Community-Based Monitoring as the practice of Indigenous water governance: A case study of Indigenous water quality monitoring in the Yukon River Basin. Journal of Environmental Management, 210: 290–298. DOI: 10.1016/j.jenvman.2018.01.020
    Back to article
  49. 49Yukon River Inter-Tribal Watershed Council, Science Department. 2016. Water Quality Monitoring Field Manual. Available at: https://www.yritwc.org/reports [Last Accessed March 2017].
    Back to article
  50. 50Yukon River Inter-Tribal Watershed Council, Science Department. 2017. Available at: https://www.yritwc.org/science [Last Accessed February 2018].
    Back to article
DOI: https://doi.org/10.5334/cstp.123 | Journal eISSN: 2057-4991
Journal RSS Feed
Language: English
Submitted on: Aug 25, 2017
Accepted on: Jun 10, 2018
Published on: Aug 16, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
monitoring,
public participation,
quality assurance/quality control,
statistics,
community-based monitoring,
Yukon River Basin,
water quality

© 2018 Nicole Herman-Mercer, Ronald Antweiler, Nicole Wilson, Edda Mutter, Ryan Toohey, Paul Schuster, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 3 (2018): Issue 2Next article