Classifying patterns of understory vegetation in mixed-oak forests in two ecoregions of Pennsylvania

Melanie J. Kaeser; Peter J. Gould; Marc E. McDill; Kim C. Steiner; James C. Finley

doi:10.1093/njaf/25.1.38

Classifying patterns of understory vegetation in mixed-oak forests in two ecoregions of Pennsylvania

Melanie J. Kaeser, Peter J. Gould, Marc E. McDill, Kim C. Steiner, James C. Finley

Ecosystem Science and Management

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Understory plots in mixed-oak stands in the Ridge and Valley and Allegheny Plateau ecoregions of Pennsylvania were classified to summarize the range of understory conditions common to the region and to evaluate relationships between understory vegetation, overstory conditions, and advance tree regeneration. Factor analysis and cluster analysis were used to identify understory classes. Vegetation cover data including 15 variables (plant species, bare ground, and rocky ground cover) and 4 composite variables (plant species groups) were observed on 1, 208 204-m² plots. The eight vegetation classes resulting from the analyses were associated with different overstory compositions and advance regeneration densities. The understory classes identified in this study may provide insight on the distribution and diversity of problematic and nonproblematic vegetation types.

Original language	English (US)
Pages (from-to)	38-44
Number of pages	7
Journal	Northern Journal of Applied Forestry
Volume	25
Issue number	1
DOIs	https://doi.org/10.1093/njaf/25.1.38
State	Published - Mar 2008

All Science Journal Classification (ASJC) codes

Forestry
General Materials Science
Plant Science

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abstract = "Understory plots in mixed-oak stands in the Ridge and Valley and Allegheny Plateau ecoregions of Pennsylvania were classified to summarize the range of understory conditions common to the region and to evaluate relationships between understory vegetation, overstory conditions, and advance tree regeneration. Factor analysis and cluster analysis were used to identify understory classes. Vegetation cover data including 15 variables (plant species, bare ground, and rocky ground cover) and 4 composite variables (plant species groups) were observed on 1, 208 204-m2 plots. The eight vegetation classes resulting from the analyses were associated with different overstory compositions and advance regeneration densities. The understory classes identified in this study may provide insight on the distribution and diversity of problematic and nonproblematic vegetation types.",

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Classifying patterns of understory vegetation in mixed-oak forests in two ecoregions of Pennsylvania

Abstract

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