A collection of research reports and publications featuring the MiCorps program and the data generated by our volunteers.
Latimore, JA, and R Lawson. 2007. Importance of quality assurance planning for long-term monitoring programs. Water Resources IMPACT.
Latimore, JA, and PJ Steen. 2014. Integrating freshwater science and local management through volunteer monitoring partnerships: the Michigan Clean Water Corps. Freshwater Science 33(2): 686-692.
Poisson, AC, IM McCullough, KS Cheruvelil, KC Elliott, JA Latimore, and PA Soranno. 2019. Quantifying the contribution of citizen science to broad-scale ecological databases. Frontiers in Ecology and the Environment. doi: 10.1002/fee.2128. (MiCorps lake data included in a multi-state analysis of available lake data.)
Sarnelle, O, and H Wandell. 2008. Monitoring and predicting concentrations of cyanobacterial toxins in Michigan lakes. (The final project report to MiCorps on a study relating algal toxins to levels of phosphorus and zebra mussel invasion in lakes. Many volunteers collected extra water samples from their lakes to support this research.)
Sarnelle, O, J Morrison, R Kaul, G Horst, H Wandell, and R Bednarz. 2010. Citizen monitoring: Testing hypotheses about the interactive influences of eutrophication and mussel invasion on a cyanobacterial toxin in lakes. Water Research 44(1): 141-150. (The scientific article about the above study. MiCorps volunteers submitted samples from 77 Michigan lakes for this work.)
Soranno, PA, et al. 2017. LAGOS-NE: A multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes. Gigascience 6(12). (MiCorps lake data through 2012 included in a comprehensive collection of lake data for the NE US.)
US Geological Survey. Estimating lake water clarity overview. (The US Geological Survey cooperated with the CLMP to use satellite remote sensing data to predict water quality in inland lakes across Michigan. By relating satellite data to real data collected by MiCorps volunteers and professionals, they can predict water quality in lakes for which little monitoring data is available.) See also:
Fuller, LM, SS Aichele, and RJ Minnerick. 2004. Predicting water quality by relating secchi-disk transparency and chlorophyll a measurements to satellite imagery for Michigan inland lakes, August 2002. US Geological Survey Scientific Investigations Report 2004-5086.
Fuller, LM, RS Jodoin, and RJ Minnerick. 2011. Predicting lake trophic state by relating Secchi-disk transparency measurements to Landsat-satellite imagery for Michigan inland lakes, 2003-05 and 2007-08. US Geological Survey Scientific Investigations Report 2011-5007.
Williams, M, RD Stedtfeld, C Engle, P Salach, U Fakher, T Stedtfeld, E Dreelin, RJ Stevenson, J Latimore, and SA Hashsham. 2017. Isothermal amplification of environmental DNA (eDNA) for direct field-based monitoring and laboratory confirmation of Dreissena sp. PLOS ONE 12 (10):e0186462. (MiCorps lake volunteers supported this research by submitting water samples from across Michigan.)