Quantifying understorey vegetation in the US Lake States: A proposed framework to inform regional forest carbon stocks

Matthew B. Russell, Anthony W. D'Amato, Bethany K. Schulz, Christopher W. Woodall, Grant M. Domke, John B. Bradford

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The contribution of understorey vegetation (UVEG) to forest ecosystem biomass and carbon (C) across diverse forest types has, to date, eluded quantification at regional and national scales. Efforts to quantify UVEG C have been limited to field-intensive studies or broad-scalemodelling approaches lacking fieldmeasurements. Although large-scale inventories of UVEG C are not common, species- and community-level inventories of vegetation structure are available and may prove useful in quantifying UVEG C stocks. This analysis developed a general framework for estimating UVEG C stocks by employing per cent cover estimates of UVEG from a region-wide forest inventory coupled with an estimate of maximum UVEG C across the US Lake States (i.e. Michigan, Minnesota and Wisconsin). Estimates of UVEG C stocks from this approach reasonably align with expected C stocks in the study region, ranging from 0.86+0.06 Mg ha-1 in red pine-dominated to 1.59+0.06 Mg ha-1 for aspen/birch-dominated forest types. Although the data employed here were originally collected to assess broad-scale forest structure and diversity, this study proposes a framework for using UVEG inventories as a foundation for estimating C stocks in an often overlooked, yet important ecosystemC pool.

Original languageEnglish (US)
Pages (from-to)629-638
Number of pages10
JournalForestry
Volume87
Issue number5
DOIs
StatePublished - Dec 1 2014

Bibliographical note

Funding Information:
This work was supported by the USDA Forest Service – Northern Research Station. We thank Andrew Gray, Coeli Hoover and Paul Van Deusen for comments on an earlier draft of this manuscript. We appreciate comments from Gary Kerr, Geoff Morgan and two anonymous reviewers for their insight that improved the content of this work.

Publisher Copyright:
© Institute of Chartered Foresters, 2014. All rights reserved.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

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