Skip to Main Content
Estimating plant biomass for undergrowth species of northeastern Minnesota forest communities.Author(s): Lewis F. Ohmann; David F. Grigal; Lynn L. Rogers
Source: General Technical Report NC-61. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Publication Series: General Technical Report (GTR)
Station: North Central Research Station
PDF: View PDF (1.44 MB)
DescriptionBiomass prediction equations were developed for some common ground cover plants from forest communities of northeastern Minnesota. The allometric function was used to predict biomass (dry weight) with ocular estimates of percent ground cover of the plant as the independent variable.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationOhmann, Lewis F.; Grigal, David F.; Rogers, Lynn L. 1981. Estimating plant biomass for undergrowth species of northeastern Minnesota forest communities. General Technical Report NC-61. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Keywordswildlife habitat, nonlinear regression analysis, allometric relations, dry weight, plant ecology
- Modeling below-ground biomass to improve sustainable management of Actaea racemosa, a globally important medicinal forest product
- Understory plant biomass dynamics of prescribed burned Pinus palustris stands
- Risk-rating Saratoga Spittlebug Damage by Abundance of Alternate-host Plants
XML: View XML