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Demonstration of Ecosystem Management Options
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DEMO Home > Research > Vegetation > Preharvest > Distribution


Research

Vegetation—Preharvest: Distribution and Abundance of Ground-Layer Bryophytes in Mature Forests of Western Washington

Closeup Photo of Pre-Treatment Bryophytes.

Shelley A. Evans, Donald McKenzie, and Charles B. Halpern

 

College of Forest Resources
Box 352100
University of Washington
Seattle, WA 98195-2100
saevans@u.washington.edu

 


Introduction


Bryophytes are among the most diverse members of the forest flora in the Pacific Northwest, yet many aspects of their distribution and ecology remain poorly understood. In this study we use pretreatment data from four of the DEMO experimental blocks to explore the factors that shape the patterns of abundance, diversity, and distribution of ground-layer bryophytes in coniferous forests of western Washington. Our work contributes to a small, but growing literature on the abiotic and biotic controls on bryophyte composition in this region. Most previous work has compared bryophyte communities in young and old forests or in managed and remnant old-growth forests. Our studies explore distributional patterns within mature forests (65 to 170 years old) across a diversity of physical environments and forest types. We address three primary questions:


  • Do the composition and patterns of diversity of ground-layer bryophyte communities differ among mature forests of the region?
  • Can we predict the cover and richness of bryophyte communities from local patterns of vegetation structure and environment?
  • Which substrates contribute most to the abundance and diversity of bryophyte species; do individual species show an affinity for particular substrates?

Methods


Pretreatment data on bryophyte frequency, cover, and richness were collected from 787 vegetation plots representing six, 13-ha stands at each of four locations (blocks) in southwestern Washington (see Study Areas). Each site is dominated by Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco), although stand structure and composition vary within and among blocks.


In the same plots, data were also collected on stand structure (e.g., tree density, basal area, quadratic mean diameter); understory abundance (e.g., density of seedlings and saplings; cover of herbs, tall shrubs, and understory trees); and ground-layer substrates (volume/decay class of coarse woody debris, cover of mineral soil, litter, etc.). These were used as potential predictors of bryophyte composition, abundance, and richness.


A suite of uni- and multivariate analyses were used (1) to explore compositional patterns among blocks; (2) to predict bryophyte cover, richness, and species composition from stand structural and environmental characteristics; and (3) to test for associations between individual bryophyte species and ground-layer substrates.


Results


Floristics and patterns of composition and diversity

  • We observed a total of 78 bryophyte taxa (56 moss and 22 liverwort species).
  • Of the full set of taxa, 23 were common to all blocks, but 22 were unique to a single block.
  • Representation of liverworts differed markedly among blocks (19 to 36 percent of the flora).
  • Detrended correspondence analysis (DCA) revealed substantial separation among blocks in ordination space with Capitol Forest plots completely isolated from those of the Cascade Range blocks (fig. 1).

    Fig 1. Plot Diagram of Pre-Treatment Bryophytes in DEMO Study Forests.

    Figure 1—DCA ordination of plots representing the four study blocks, using bryophyte species frequency as the measure of abundance.



  • Patterns of richness and distribution of species abundance were fairly similar among blocks (fig. 2).

    Fig 2. Plot Graph of Bryophyte Patterns in DEMO Study Forests.

    Figure 2—Dominance-diversity curves for each block using species constancy (proportion of plots per block) as the measure of species abundance. Curves are jittered on the X axis for clarity.

     


Predictive models of bryophyte richness, cover, and composition


  • Multiple regression models explained little of the plot-level variation in bryophyte richness or total cover (r2 < 0.23). Richness was positively correlated with log cover and richness of herb species, but negatively correlated with slope.
  • Similarly, canonical correspondence analysis (CCA) indicated that little of the variation in species composition could be explained by stand structural or environmental variables.

Role of substrates


  • Although fine litter was the most abundant substrate (75 to 92 percent cover), other substrates (e.g., decayed logs and the bases of trees) contributed substantially to bryophyte frequency and richness (fig. 3).

    Fig 3. Bar Graph of Bryophytes in DEMO Study Forests.

    Figure 3—Mean number of bryophyte taxa per plot supported by each substrate (circles; right axis) relative to mean cover of each substrate (gray bars; left axis).


  • Indicator species analysis (ISPAN) revealed many significant associations with substrates (32 of 130 tests):
    • Species were most often associated with decayed logs, and occasionally with fine litter, rocks, or the bases of trees.
    • 7 species showed significant associations with the same substrate in more than one block, but 5 showed significant associations with different substrates (“switching” primarily between decayed logs and tree bases).

Significance and Management Implications


  • Mature forests in southwestern Washington can support distinctly different bryophyte assemblages. Many factors contribute to these differences (e.g., biogeography, physical environment, stand structure, disturbance history, dispersal limitation), but it is difficult to tease apart their relative importance.
  • Given the “unpredictable” nature of species composition, site-specific surveys must be performed to understand the consequences of forest management for particular species or groups of species.
  • At a local scale (plots within forest stands) it is difficult to predict bryophyte cover or richness from other vegetation or environmental characteristics. Had we considered a broader range of stand ages or structures, predictive models may have been stronger.
  • Our analyses of substrate relationships confirm the results of previous studies in temporal and boreal forests: downed wood (particularly well-decayed logs) and the bases of trees can contribute significantly to the diversity of ground-layer bryophytes. However, we also observed that species “preferences” for substrates may differ from location to location.

US Forest Service - Pacific Northwest Research Station, Demonstration of Ecosystem Management Options
Last Modified: Thursday,27March2008 at12:39:36EDT


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