Michigan Department of Natural Resources
Fisheries Research Report No.1860, 1978

Predicting the Standing Crop of Fish in Michigan Lakes


James C. Schneider


      Abstract.-Data on the standing crop of fish in Michigan lakes were reanalyzed using multiple correlation and regression techniques. A model previously used to successfully predict fish harvest rates also gave improved predictions of fish standing crops. However, the best model tested, explaining 56% of the variation in fish crops, included these parameters: panfish index, climate index, 1¸ log10 Secchi disk transparency, log10 vegetation index, log10 area, and rough fish index. This model is much better than the first, and appears to give reasonable and useful predictions.