Composition and structure of two old-growth forest ecosystem types of Southeastern Ohio (1).
Goebel, P. Charles ; Hix, David M. ; Semko-Duncan, Marie 等
ABSTRACT. Less than 1% of the pre-European settlement forest in
Ohio currently remains, mostly as small and scattered woodlots.
Consequently, few studies have been undertaken to quantify the
composition and structure of Ohio's old-growth forests using a
landscape ecosystem perspective. We used an existing multifactor
ecosystem classification system developed for the Wayne National Forest in southeastern Ohio to compare the composition and structure of two
old-growth forest ecosystem types, located on contrasting north-facing
and south-facing middle slopes. No differences in physiography were
observed among the stands other than aspect; however, the north-facing
old-growth ecosystem type had a greater A horizon thickness and a higher
pH than the south-facing old-growth ecosystem type. Mixed-oaks dominate
the south-facing ecosystem type, while sugar maple, American beech and
northern red oak dominate the north-facing ecosystem type. No
differences were detected in stand structural components. Similar trends
were observed for the ground-flora layer; specifically, we observed
differences in ground-flora composition between the two ecosystem types
but no differences in total percent cover or species richness. Finally,
the composition and structure of coarse woody debris differed between
the contrasting ecosystem types. Maple and oak snags and fallen logs
dominate the north-facing ecosystem while oak standing snags and fallen
stems are typically observed in the south-facing ecosystem. Few
differences between the two ecosystem types were detected in coarse
woody debris structure, except that snag density tends to be higher in
the south-facing old-growth ecosystem and log density and volume tends
to be higher in the north-facing ecosystem (p <0.10). Through the use
of this ecosystem approach, we can begin to quantify the ecological
factors regulating the composition and structure of old-growth
communities, improving our ability to effectively manage and restore
these rare ecosystems.
INTRODUCTION
Although humans and forest ecosystems often interact in complex and
synergistic ways, individual old-growth stands or forests typically
represent an undisturbed condition where the influence of geomorphology,
soils, and natural disturbances, in conjunction with plant reproductive
processes and animals, constrain the development of plant communities
(Rowe and Sheard 1981; Pregitzer and others 2001). Old-growth forests
are generally considered to represent the final, stable phase of stand
development and typically are recognized by the unique structural
characteristics they share. For example, eastern old-growth forests are
usually described as multi-aged stands with multiple structural layers,
large amounts of coarse woody debris (both dead snags and fallen logs),
undisturbed soils, and a diverse array of both plants and animals
(Parker 1989; Leverett 1996). Ecosystem processes, including nutrient
cycling, stability, and biodiversity, are also believed to remain
undisturbed in old-growth forests (Leverett 1996; Meier and others
1996).
In Ohio, as well as across the Central Hardwoods Region, the
remaining isolated old-growth tracts have been the focus of old-growth
preservation and recovery programs (Trombulak 1996). These remnant and
isolated woodlots may be seen as analogous to museum archives, revealing
little about the overall landscape or interactions among forest
ecosystems at the time of European settlement. Additionally, many of
these remnant old-growth stands are in transition. Land-use practices in
the surrounding landscape, such as fire suppression, are resulting in
compositional and structural changes in these old-growth forests (Goebel
and Hix 1996, 1997). Because the composition and structure of individual
old-growth stands is influenced strongly by the dispersal patterns of
individual species, site history, and environmental factors, the focus
of old-growth preservation must occur at the ecosystem level and focus
on preserving the 'natural' processes of old-growth forests
(Barnes 1989; Pickett and Parker 1994; Trombulak 1996).
Ecosystem classification is a useful tool that facilitates the
understanding of interrelationships among plant communities and the
environment and how these factors influence ecosystem restoration decisions (Palik and others 2000). Ecosystem classifications define
ecosystems hierarchically, as volumes of earth, air, and water with
specific developmental histories in which plants and animals live and
interact (Rowe and Barnes 1994; Barnes and others 1998). In Ohio, there
has been some research published concerning the composition and
structure of particular old-growth tracts (for example, McCarthy and
others 1987; Cho and Boerner 1991; McCarthy and others 2001). However,
very little is known about the compositional and structural variation
among Ohio's old-growth forest ecosystems in relation to the
hierarchical factors regulating their composition and structure,
especially physiography and soils. By applying the ecosystem
classifications developed for the Wayne National Forest (Hix and Pearcy
1997; Hix and others 1997), old-growth conditions of individual forest
ecosystems of southeastern Ohio can be described and compared,
ultimately leading to improved programs to manage and restore these
threatened ecosystems.
Using the ecosystem classification developed for the Athens Unit of
the Wayne National Forest as a framework, in this paper we: 1) examine
the physiographic and edaphic factors that regulate overstory and
ground-flora vegetation of two old-growth forest ecosystems in
southeastern Ohio; and 2) examine the physiographic constraints on
coarse woody debris (CWD) composition and structure between the two
old-growth forest ecosystems.
MATERIALS AND METHODS
Study Area
The study area is located in the Western Hocking Plateau Subsection
(221El) of the Southern Unglaciated Allegheny Plateau Section (221E) in
the Eastern Broadleaf Forest Province (Keys and others 1995). The
Subsection is described as a maturely dissected plateau with moderate to
steep slopes, narrow ridgetops, rock outcrops, and narrow stream valleys
with elevations ranging from 195 to 322 m above sea level. Geology of
the study area consists of inter-bedded sedimentary bedrock of shale,
siltstone, limestone, and coal that was laid down in the shallow seas of
the Mississippian, Pennsylvanian, or Permian periods in an anticline
that dips eastward to the Appalachian Geosyncline (Rypma 1961; Keys and
others 1995). In general, the soils are moderately acidic with surface
layers that are moderately drained to well-drained loams or silt loams,
and with subsoils comprised of silty clays, loamy clays, or clays.
The climate of the area is humid continental with a mean annual
temperature of 9[degrees]C (Lucht and others 1985). Winters are
relatively cold, while summers are generally warm with a mean July
maximum temperature of 32.2[degrees]C and a mean January minimum
temperature of 6.9[degrees]C (Athens weather station; Lucht and others
1985). Average annual precipitation is 98 cm, half of which falls from
May to October (Lucht and others 1985). The topographic variability
associated with the study area is responsible for significant
differences in microclimate, which are common. A ridge system oriented
from northwest to southeast occurs over most of the study area. This
results in southerly-facing slopes that receive higher levels of solar
radiation and, consequently, have higher air and soil temperatures,
lower relative humidity, and lower soil moisture than their
northerly-facing counterparts.
Field Methods
Eight old-growth stands (defined as stands >150 year old; see
Goebel and Hix 1996; Olivero and Hix 1998 for information on how these
stands were identified) were selected within two contrasting ecosystems
using a multifactor ecological classification system (ECS) based on
climate, physiography, soils, and vegetation developed recently for the
Athens Unit of the Wayne National Forest in southeastern Ohio (Table 1).
These included: 1) north-facing mesic slopes (ELTP 42--mesic middle
slopes), and 2) south-facing dry slopes (ELTP 32--dry upper to middle
slopes). Two sample plots were then established randomly on a transect
that roughly bisected the stand along the contour. The first plot was
located randomly 20 to 30 m from the boundary, and the second plot was
installed randomly at least 40 to 50 m from the first plot. Each sample
plot consisted of a circular 500-[m.sup.2] plot and eight rectangular
1.0 m x 2.0 m quadrats. The centers of the quadrats were located 7.0 m
from the center of the 500-[m.sup.2] plots in eight directions (N, NE,
E, SE, S, SW, W, NW).
At the center of each plot the following physiographic features
were observed or measured: aspect (azimuth in degrees), slope steepness
(%), slope shape (concave, linear, or convex), length of slope, distance
to nearest surface water, and the distance to the ridgetop. The
percentage of the distance to the ridgetop (PDR) was calculated by
dividing the distance to the ridgetop by the total length of the slope.
The elevation of each plot was determined from a topographic map.
Surface soil characteristics were also measured on each plot. Thickness
and texture (determined by feel in the field) of the A horizon was
estimated by averaging eight push-tube samples randomly located across
the plot. Push-tube samples for each plot were placed in sample bags and
pH of the A horizon determined in the lab using the calcium chloride method (McLean 1982).
On each 500-[m.sup.2] plot, the species, dbh (diameter at breast
height; 1.37 m), and crown class (dominant, co-dominant, intermediate,
and overtopped; compare Smith 1986) of all living overstory trees
>10.0 cm dbh was recorded. Dead snags >10.0 cm dbh were also
tallied by species and dbh on each 500-[m.sup.2] plot. Heights of the
snags to the nearest meter were recorded using a clinometer. Data on the
fallen trees >10.0 cm mid-diameter included species and length.
Although not all snags and fallen trees were determinable to species, it
was possible to determine the genus of each snag and fallen tree.
Ground-flora vegetation (vascular plants <1 m tall, including
pteridophytes, graminoids, forbs, woody vines, and shrubs) was sampled
in each of the eight 1.0 x 2.0 m quadrats on each plot. Percent coverage
was estimated visually for each ground-flora species in a quadrat using
the following cover class codes: 1, <1%; 2, 1-5%; 3, 6-10%; 4,
11-20%; 5, 21-40%; 6, 41-70%; 7, 71-100%.
Data Analyses
Importance values (IV) were calculated for overstory trees as the
summation of relative density and relative dominance (as expressed by
basal area) divided by 2. Mean cover for each ground-flora species by
plot was calculated by averaging cover class values from the eight
quadrats. Mean diameter, height (m), density (stems/ha), basal area
([m.sup.2]/ha) and volume ([m.sup.3]/ha) of each standing dead species
(snags) were computed for each plot. Similarly, the average
mid-diameter, density, and volume of fallen dead stems (CWD) were also
calculated.
Canonical correspondence analysis (CCA) was used to explore the
variation in species composition and site factors between the two types
of old-growth ecosystem types (CANOCO; ter Braak and Smilauer 1998).
Canonical correspondence analysis is an eigenvector ordination technique
that provides a multivariate direct gradient analysis that helps to
visualize patterns of community variation and the influence of
environmental factors on species distributions (ter Braak and Smilauer
1998). CCA was performed separately on both the overstory and
ground-flora datasets.
Differences in site factors and stand structure between the two
types of old-growth ecosystems were measured using a Mann-Whitney test
(P = 0.05). The Mann-Whitney test is a non-parametric test for two
samples that does not require assumptions of normality or equal variance
(Kent and Coker 1992). Mann-Whitney tests were conducted for both the
overstory and ground-flora vegetation layers, as well as for the coarse
woody debris.
RESULTS
Site Factors
No differences in slope percent or PDR are detected between the two
old-growth ecosystems, suggesting that both are located on steeply
sloping middle slopes. However, we did detect significant differences in
aspect between the two old-growth ecosystems. These results confirm the
classification of the individual stands into either ELTP 32 or ELTP 42
as prescribed by the Wayne National Forest ecosystem classification
(Table 1). Corresponding to the different topographic positions,
Mann-Whitney tests reveal that A horizon thickness and pH are
significantly higher for the north-facing old-growth ecosystem compared
to the south-facing old-growth ecosystem (P <0.05; Table 2).
Overstory
Mixed-oaks (Quercus spp.) dominate the south-facing stands, while
sugar maple (Acer saccharum Marsh.), American beech (Fagus grandifolia
Ehrh.), and northern red oak (Quercus rubra L.) dominate the
north-facing stands (Table 3). Overstory composition accounts for 45% of
the variation among old-growth ecosystems along the first two canonical
axes, separating the north-facing and south-facing old-growth ecosystems
along the first axis of the overstory CCA (Fig. 1). First and second
axis overstory and stand-site factor correlation coefficients are very
high (0.99 and 0.97, respectively); both axes combine to explain over
half (55.4%) of total variation among old-growth ecosystems as explained
by the site factors included in the CCA. While slope shape, PDR, and
slope percent explains little of the variation among old-growth
ecosystems, aspect and corresponding soil characteristics (A horizon
thickness and A horizon pH) are strongly associated with the first
canonical axis (Fig. 1).
[FIGURE 1 OMITTED]
Although overstory composition is different between the two
old-growth ecosystems, no significant differences in stand structure are
detected (P >0.05; Table 3). Basal area in the north-facing
old-growth ecosystem averages ([+ or -] 1 SE) 30.4 (4.2) [m.sup.2]/ha,
while density averages 362 (22) stems/ha. Values of basal area and
density are similar for the south-facing old-growth ecosystem, averaging
30.8 (2.7) [m.sup.2]/ha and 332 (25) stems/ha, respectively. Similarly,
no differences in richness are detected (P >0.05) between the
north-facing and south-facing stands (Table 3).
Ground-flora
The characteristic ground-flora species of the north-facing
old-growth ecosystem include Actaea pachypoda Ell., Circaea lutetiana L., Osmorhiza claytoni (Michx.) C.B. Clarke, Viola pubescens Ait., and
Polygonum virginianum L., while the ground-flora of the south-facing
old-growth ecosystem are dominated by Smilax rotundifolia L., Solidago
caesia L., Carex blanda Dewey, and Desmodium nudiflorum (L.) DC. (Table
4). The CCA relating site factors to the ground-flora composition
accounts for 33.1% of the variation among o!d growth stands; site
factors combine to explain over 55.0% of the total variation in
ground-flora composition along the first two axes. Similar to the
overstory CCA, aspect and corresponding A horizon soil characteristics
are strongly associated with the first canonical axis, separating the
north-facing and south-facing ecosystems (Fig. 2).
[FIGURE 2 OMITTED]
Mean ground-flora percent cover is not significantly different
between old-growth ecosystems (P >0.05). Likewise, ground species
richness was not significantly different between the south-facing
old-growth ecosystem and the north-facing old-growth ecosystem (P
>0.05; Table 4).
Coarse Woody Debris
Both dead snags and fallen trees differ in composition between the
two old-growth ecosystems. Acer and Quercus snags dominate the
north-facing ecosystem (relative densities of 56% and 28%,
respectively), while only Quercus snags are typically observed in the
south-facing ecosystem (relative density of 68%) (Table 5). Likewise,
the north-facing ecosystems have high proportions of Quercus and Acer
fallen trees (relative densities of 31% and 11%, respectively), while
the south-facing old-growth ecosystem is comprised predominantly of
Quercus CWD (relative density of 84%) (Table 5). Over half (57%) of the
fallen trees in the north-facing old-growth ecosystem are highly decayed
and unidentifiable compared to only 7% in the south-facing ecosystem
type.
Fewer, larger snags are found in the north-facing old-growth
ecosystem than in the south-facing ecosystem, although these differences
are not significant (P >0.05; Fig. 3). On average ([+ or -] 1 SE) the
diameter at breast height of snags in the north-facing old-growth
ecosystem is 32.5 (10.0) cm, while only 24.3 (4.4) cm in the
south-facing old-growth ecosystem. Snag density averages 27.5 (8.4)
stems/ha in the north-facing stands and 45.0 (9.0) stems/ha in the
south-facing stands. Total snag volume tends to be higher in the
north-facing ecosystem than the south-facing ecosystem; however, total
snag volume was extremely variable (Fig. 3).
[FIGURE 3 OMITTED]
As with snag structure, the structure of fallen trees is highly
variable between the old-growth ecosystem types. Mid-diameter of fallen
trees is similar, averaging ([+ or -] 1 SE) 18.5 (1.5) cm in the
north-facing old-growth stands, and 17.2 (2.1) cm in the south-facing
old-growth stands (P >0.05). Whereas snag density tends to be higher
in the south-facing old-growth ecosystem, fallen tree density tends to
be higher in the north-facing ecosystem (P <0.10). Volume of fallen
trees is also significantly different (P <0.05), with higher volumes
in the north-facing stands than the south-facing stands (Fig. 4).
[FIGURE 4 OMITTED]
DISCUSSION
Most studies of old-growth forests in eastern North America have
focused on individual tracts instead of taking an ecosystem approach to
characterize the composition and structure of old-growth forest
ecosystem types (for example, Roovers and Shirley 1997). As a result,
our knowledge and understanding of the composition, structure, and
function of eastern old-growth has primarily been obtained by studying
old-growth remnants. Furthermore, the composition and structure of
current second-growth stands have been compared to those of remnant
old-growth stands to determine the successional status of the
second-growth stands (Hale and others 1999), as well as guiding any
forest management practices designed to emulate old-growth conditions.
This can be problematic for forest ecosystem restoration as these
individual old-growth remnants are often used as 'blueprints'
for restoration (Frelich and Puettmann 1999), and do not adequately
represent the inherent variability in these forest ecosystems.
Consequently, research that is focused on developing reference
conditions for forest ecosystem restoration should focus on developing
composite descriptions based on measurements taken from several
locations rather than a single site or old-growth remnant (SER 2002).
Our landscape ecosystem approach provides us with such an opportunity to
develop a suite of composite reference conditions for old-growth
ecosystem types. Additionally, our utilization of the Wayne National
Forest ecosystem classification system (which was based on mature
second-growth forests) provides us with a framework with which to
compare the ecological properties of these contrasting old-growth
ecosystem types rather than merely summarizing the characteristics of a
single stand of old trees or old-growth remnant.
In southeastern Ohio, the stand structure is relatively similar
between north-facing and south-facing old-growth forest ecosystem types.
Our results suggest that these forest ecosystem types have 15 to 16
different overstory species, approximately 30 [m.sup.2]/ha of basal
area, and densities between 322 and 360 trees/ha. However, the
old-growth north-facing middle slope ecosystem types are dominated by
overstories of mesic species, including sugar maple, northern red oak,
and American beech while old-growth south-facing ecosystem types are
dominated by mixed-oaks. Similar trends, that is, different composition
but similar structure, are also observed with the coarse woody debris in
these ecosystem types. However, there appears to be considerable
variability in the coarse woody debris both within and between ecosystem
types.
Corresponding to differences in A-horizon characteristics, the
ground-flora composition of the old-growth ecosystem type located on
north-facing slopes is dominated by a rich community of mesic
perennials, including Actaea pachypoda Ell., Circaea lutetiana L.,
Osmorhiza claytoni (Michx.) C.B. Clarke, Viola pubescens Ait., and
Polygonum virginianum L. Different species, including Smilax
rotundifolia L., Solidago caesia L., Carex blanda Dewey, and Desmodium
nudiflorum (L.) DC., characterize the south-facing old-growth ecosystem
type. These species include a mixture of xeric woody vines and shrubs,
perennials, and graminoids. Contrary to what we would have anticipated
based on the edaphic difference observed between these two forest
ecosystem types, ground-flora species richness and total cover are
similar.
As demonstrated here, quantifying the differences in composition
and structure of different old-growth ecosystem types rather than
individual old-growth remnants is the first step in effectively managing
the remaining and future old-growth forests of the Central Hardwoods
Region (Sauer 1998). By focusing on the interrelationships between local
ecosystem components, such as the influence of physiography and soils on
the composition and structure of old-growth plant communities, a better
understanding of the old-growth processes will surely follow.
Additionally, we can begin to quantify the variation in different
compositional and structural components of these forest ecosystem types,
an important first-step in forest ecosystem restoration (Palmer and
others 1997), as well as develop management practices that emulate the
natural disturbance regimes that influence the composition and structure
of forest ecosystems (Palik and others 2002). The end result will lead
to the improvement of functional definitions of eastern old-growth
forest ecosystems, and ultimately advance our ability to effectively
restore and manage them.
TABLE 1
Classification of ecological landtypes (ELTs) and ecological
landtype phases (ELTPs), Athens Unit, Wayne National Forest.
southeastern Ohio (Goebel and Hix i997). Old-growth
ecosystems compared in this study are highlighted.
I. Level to gently sloping terrain (0-15%)
ELT 1 Broad Level Uplands
ELT 2 Narrow Uplands
ELTP 20 Dry ridgetops; white oak-black oak/blueberry
ELT 5 Narrow Bottomlands
ELTP 50 Wet-mesic ravine bottoms; American basswood
yellow buckeye/jack-in-the-pulpit
ELT 6 Broad Bottomlands
II. Moderately to very steeply sloping terrain (>15%)
ELT 3 Dry Slopes with southerly aspects (136-315[degrees])
ELTP 31 Dry upper slopes; white oak/tick-trefoil
ELTP 32 Dry upper to middle slopes; white oak
chestnut oak/greenbrier
ELTP 33 Dry-mesic lower slopes; red maple-white
oak/goldenrod
ELT 4 Mesic Slopes with northerly aspects (316-135[degrees])
ELTP 41 Dry-mesic upper slopes; Northern red oak-white
oak/enchanter's nightshade
ELTP 42 Mesic middle slopes; yellow buckeye-American
beech/maidenhair fern
ELTP 43 Mesic middle to lower slopes; white ash-northern
red oak/geranium
ELTP 44 Mesic lower slopes; sugar maple/cleavers
TABLE 2
Site factors for north-facing and south-facing old-growth
ecosystems in southeastern Ohio. Values are means [+ or -] 1
standard error. Values in a row followed by the same
letter are not significantly different at P <0.05
(Mann-Whitney, test).
Variable North-Facing South-Facing
Transformed Aspect 1.72 (0.09)a 0.16 (0.05)b
Percent Slope (%) 27.4 (2.6)a 28.9 (2.3)a
Percent distance to ridgetop (PDR) 45.6 (6.0)a 52.3 (3.0)a
Thickness of A horizon (cm) 7.0 (0.9)a 3.5 (0.6)b
pH of A horizon 5.0 (0.3)a 3.3 (0.1)b
TABLE 3
Overstory importance values ([dagger]), richness, basal area, and
density for north-facing and south-facing old-growth ecosystems in
southeastern Ohio. Values are means [+ or -] 1 standard error. Values
in a row followed by the same letter are not significantly different
at P <0.05 (Mann-Whitney test).
Importance Value ([dagger])
Species Name Code North-Facing South-Facing
Acer rubrum ACRU 6.4 (4.3)a 8.8 (2.3)a
Acer saccharum ACSA3 42.1 (8.5)a 7.5 (2.6)a
Aesculus flava AEFL 9.2 (3.9) --
Carya cordiformis CACO15 -- 0.5 (0.5)
Carya glabra CAGL18 3.4 (1.9)a 0.5 (0.5)a
Carya ovata CAOV2 -- 0.5 (0.5)
Carya alba CAAL 1.1 (1.1) --
Fagus grandifolia FAGR 8.4 (3.9)a 3.1 (1.6)a
Liriodendron tulipifera LITU 3.2 (3.2)a 1.3 (1.3)a
Nyssa sylvatica NYSY 0.9 (0.9)a 1.0 (1.0)a
Oxydendron arboreum OXAR -- 0.5 (0.5)
Prunus serotina PRSE2 2.4 (1.9)a 0.4 (0.4)a
Quercus alba QUAL 5.4 (3.6)a 35.7 (7.9)b
Quercus coccinea QUCO2 1.8 (1.8)a 1.3 (0.9)a
Quercus prinus QUPR2 2.3 (2.3)a 23.4 (8.5)b
Quercus rubra QURU 10.6 (5.3)a 4.8 (2.0)a
Quercus velutina QUVE -- 9.4 (2.1)
Sassafras albidum SAAL5 0.4 (0.4)a 0.8 (0.5)a
Ulmus rubra ULRU 1.7 (1.2) --
Structural Characteristics
Richness (no. of species) 15a 16a
Basal area ([M.sup.2]
[ha.sup.-1]) 30.4 (4.2)a 30.8 (2.7)a
Density (stems [ha.sup.-1]) 362 (22)a 332 (25)a
([dagger]) Importance value = (relative dominance
+ relative density)/2.
TABLE 4
Ground-flora mean cover values and richness for north-facing and
south-facing old-growth ecosystems in southeastern Ohio. Values
are means [+ or -] 1 SE. Values in a row followed by the same
letter are not significantly different at P <0.05
(Mann-Whitney test).
Mean Cover
Species Name Code North-Facing South-Facing
Actaea pachypoda ACPA 0.23 (0.10) --
Adiantum pedatum ADPE 0.05 (0.05) --
Amphicarpa bracteata AMBR2 -- 0.02 (0.02)
Antennaria plantaginifolia ANPL -- 0.05 (0.03)
Thalictrum thalictroides THTH2 0.05 (0.05)a 0.10 (0.07)a
Aristolochia serpentaria ARSE3 0.02 (0.02) --
Arisaema triphyllum ARTR 0.02 (0.02)a 0.05 (0.03)a
Asarum canadense ASCA -- 0.30 (0.14)
Eurybia divaricata EUDI16 0.14 (0.09)a 0.53 (0.18)a
Eurybia macrophylla EUMA27 0.05 (0.03) --
Asimina triloba ASTR 0.22 (0.22)a 0.13 (0.10)a
Botrychium virginianum BOVI 0.09 (0.06) --
Carex albursina CAAL11 0.06 (0.05) --
Carex blanda CABL 0.03 (0.03)a 0.13 (0.07)a
Carex digitalis CAD15 -- 0.02 (0.02)
Carex gracilescens CAGR8 0.08 (0.06) --
Carex rosea CARO22 0.08 (0.04) --
Celastrus scandens CESC 0.08 (0.05)a 0.02 (0.02)a
Chimaphila maculata CHMA3 -- 0.20 (0.16)
Circaea lutetiana CILU 0.28 (0.11)a 0.05 (0.03)b
Cimicifuga racemosa CIRA 0.06 (0.06) --
Collinsonia canadensis COCA4 0.02 (0.02)a 0.03 (0.03)a
Cunila origanoides CUOR -- 0.05 (0.03)
Danthonia spicata DASP2 -- 0.03 (0.02)
Desmodium nudiflorum DENU4 -- 0.42 (0.23)
Disporum lanuginosum DILA5 0.27 (0.17) --
Eupatorium purpureum var. EUPUP -- 0.14 (0.07)
purpureum
Ageratina altissima var. AGALA 0.09 (0.04)a 0.06 (0.03)a
altissima
Festuca subverticillata FESU3 0.13 (0.13) --
Galium circaezans GACI2 0.11 (0.06)a 0.03 (0.03)a
Galium concinnum GACO3 0.30 (0.15)a 0.08 (0.04)a
Galium lanceolatum GALA3 0.03 (0.03)a 0.03 (0.02)a
Galium triflorum GATR3 0.03 (0.03)a 0.03 (0.02)a
Geum canadense GECA7 0.08 (0.08) --
Geranium maculatum GEMA 0.28 (0.12)a 0.06 (0.03)a
Goodyera pubescens GOPU 0.03 (0.03)a 0.03 (0.02)a
Hepatica nobilis var. obtusa HENOO 0.03 (0.02) --
Hydrastis canadensis HYCA 0.05 (0.05) --
Lindera benzoin LIBE3 1.02 (0.58)a 0.17 (0.09)a
Mitchella repens MIRE 0.09 (0.07)a 0.02 (0.02)a
Monotropa uniflora MOUN3 0.03 (0.02)a 0.05 (0.03)a
Galearis spectabilis GASP5 0.02 (0.02) --
Osmorhiza claytoni OSCL 0.52 (0.19)a 0.11 (0.07)a
Dichanthelium boscii DIBO2 -- 0.03 (0.02)
Dichanthelium commutatum DICO2 -- 0.13 (0.09)
Dichanthelium dichotomum var. DIDID -- 0.11 (0.06)
dichotomum
Parthenocissus quinquefolia PAQU2 1.08 (0.26)a 0.78 (0.23)a
Phlox divaricata PHD15 0.05 (0.03)a 0.03 (0.03)a
Pilea pumila PIPU2 0.38 (0.20)a 0.02 (0.02)a
Polysticum acrostichoides POAC4 0.28 (0.17)a 0.33 (0.17)a
Polygonatum biflorum POBI2 0.23 (0.09)a 0.22 (0.06)a
Poa cuspidata POCU4 0.14 (0.09)a 0.45 (0.14)a
Podophyllum peltatum POPE 0.14 (0.09)a 0.05 (0.03)a
Potentilla simplex POSI2 0.02 (0.02)a 0.33 (0.20)a
Porteranthus stipulatus POST5 -- 0.06 (0.06)
Polygonum virginianum POVI2 0.25 (0.12) --
Rosa carolina ROCA4 -- 0.14 (0.06)
Sanicula canadensis SACA15 0.05 (0.03)a 0.08 (0.05)a
Sanicula marilandica SAMA2 0.02 (0.02) --
Sanicula trifoliata SATR4 0.25 (0.13) --
Sedum ternatum SETE3 0.09 (0.05)a 0.05 (0.05)a
Smilax glauca SMGL 0.02 (0.02)a 0.23 (0.08)a
Smilax tamnoides SMTA2 0.06 (0.04) --
Maianthemum racemosum ssp. MARAR 0.20 (0.13)a 0.30 (0.09)a
racemosum
Smilax rotundifolia SMRO -- 0.80 (0.19)
Solidago caesia SOCA4 -- 0.44 (0.14)
Toxicodendron radicans TORA2 0.22 (0.11)a 0.03 (0.02)a
Uvularia perfoliata UVPE 0.08 (0.05)a 0.03 (0.03)a
Vaccinium pallidum VAPA4 -- 0.50 (0.27)
Viburnum acerifolium VIAC 1.03 (0.34)a 1.53 (0.30)a
Vitis aestivalis VIAE 0.22 (0.10)a 0.28 (0.12)a
Viola palmata VIPA3 0.11 (0.04)a 0.22 (0.07)a
Viburnum prunifolium VIPR 0.13 (0.10)a 0.05 (0.03)a
Viola pubescens VIPU3 0.33 (0.20) --
Structural Characteristics
Total mean cover 11.2 (1.2)a 8.9 (1.2)a
Richness (no. of species) 19.6 (1.7)a 20.4 (1.7)a
TABLE 5
Relative density of coarse woody debris (CWD) between south-facing
and north-facing old growth ecosystems of southeastern Ohio.
Genus North-facing South-facing
Standing Snags
Quercus 28.0 68.0
Carya 8.0 11.0
Acer 56.0 5.0
Fagus 0.0 5.0
Other 8.0 11.0
Fallen Trees
Quercus 31.0 84.0
Carya 1.0 2.0
Acer 11.0 7.0
Fagus 0.0 0.0
Other 57.0 7.0
ACKNOWLEDGMENTS. We gratefully acknowledge financial support from
the USDA Forest Service to help conduct this research. Additional
salaries and research support were provided from State and Federal funds appropriated to the Ohio Agricultural Research and Development Center (OARDC). We especially thank the support of Adele Olivero; without her
work this study could not have been completed. Assistance in locating
study areas was provided by Philip Cantino and Marilyn Ortt. We
sincerely thank the cooperating landowners for permission to conduct
this study, as well as two anonymous reviewers who provided many useful
editorial comments.
LITERATURE CITED
Barnes BV. 1989. Old-growth forests of the northern Lake States: a
landscape ecosystem perspective. Natural Areas J 9:45-57.
Barnes BV, Zak DR, Denton SR, Spurr SH. 1998. Forest Ecology, 4th
ed. New York (NY): J Wiley. 774 p.
Cho DS, Boerner REJ. 1991. Canopy disturbance patterns and
regeneration of Quercus species in two old-growth forests. Vegetatio
93:9-18.
Frelich LE, Puettmann K. 1999. Restoration Ecology. In: Hunter ML
Jr, editor. Maintaining Biodiversity in Forest Ecosystems. Cambridge
(UK): Cambridge Univ Pr. p 498-524.
Goebel PC, Hix DM. 1996. Development of mixed-oak forests in
southeastern Ohio: a comparison of second-growth and old-growth forests.
Forest Ecol and Mgmt 84:1-21.
Goebel PC, Hix DM. 1997. Changes in the composition and structure
of mixed-oak, second-growth forest ecosystems during the understory reinitiation stage of stand development, Ecoscience 4:327-39.
Hale CM, Pastor J, Rusterholz KA. 1999. Comparison of structural
and compositional characteristics in old-growth and mature, managed
hardwood forests of Minnesota, U.S.A. Canadian J of Forest Research
29:1479-89.
Hix DM, Pearcy JN. 1997. Forest ecosystems of the Marietta Unit,
Wayne National Forest, southeastern Ohio: multifactor classification and
analysis. Canadian J of Forest Research 27:1117-31.
Hix DM, Pearcy JN, McClenahen JR. 1997. Development of an
ecological classification system for the Wayne National Forest: final
technical report. Report to the USDA Forest Service, Columbus, OH: The
Ohio State Univ, School of Natural Resources. 131 p.
Kent M, Coker P. 1992. Vegetation Description and Analysis: A
Practical Approach. London: Bellhaven Pr. 363 p.
Keys J Jr, Carpenter C, Hooks S, Koenig F, McNab WH, Russell W,
Smith ML. 1995. Ecological units of the Eastern United States--first
approximation. Atlanta (GA): US Dept of Agriculture, Forest Serv. 83 p.
Leverett R. 1996. Definitions and history. In: Davis MB, editor.
Eastern Old-Growth Forests: Prospects for Rediscovery and Recovery.
Washington (DC): Island Pr. p 3-17.
Lucht TE, Brown DL, Martin NH. 1985. Soil Survey of Athens County.
USDA and Ohio Dept of Nat Resources. 192 p.
McCarthy BC, Hammer C, Kauffman G, Cantino P. 1987. Vegetation
patterns and structure of an old-growth forest in southeastern Ohio.
Bull Torrey Bot Club 114:33-45.
McCarthy BC, Small CJ, Rubino DL. 2001. Composition, structure and
dynamics of Dysart Woods, an old-growth mixed mesophytic forest of
southeastern Ohio. Forest Ecol and Mgmt 140:193-213.
McLean EO. 1982. Soil pH and lime requirement. In: Page AL, editor.
Methods of Soil Analysis, Part 2. Agronomy Monograph No. 2. Madison
(WI): American Society of Agronomy. p 199-223.
Meier AJ, Bratton SP, Duffy DC. 1996. Biodiversity in the
herbaceous layer and salamanders in Appalachian primary forests. In:
Davis MB, editor. Eastern Old-Growth Forests: Prospects for Rediscovery
and Recovery. Washington (DC): Island Pr. p 49-64.
Olivero AM, Hix DM. 1998. Influence of aspect and stand age on
ground flora of southeastern Ohio forest ecosystems. Plant Ecol
139:177-87.
Palik BJ, Goebel PC, Kirkman LK, West L. 2000. Using landscape
hierarchies to guide restoration of disturbed ecosystems. Ecological
Applications 10:189-202.
Palik BJ, Mitchell RJ, Heirs JK. 2002. Modeling silviculture after
natural disturbance to sustain biodiversity in the longleaf pine (Pinus
palustris) ecosystem: balancing complexity and implementation. Forest
Ecol and Mgmt 155:347-56.
Palmer MA, Ambrose RF, Poff NL. 1997. Ecological theory and
community restoration ecology. Restoration Ecol 5:291-300.
Parker GR. 1989. Old-growth forests of the Central Hardwood Region.
Natural Areas J 9:5-11.
Pickett STA, Parker TV. 1994. Avoiding the old pitfalls:
opportunities in a new discipline. Restoration Ecol 2:75-9.
Pregitzer KS, Goebel PC, Wigley TB. 2001. Evaluating forestland classification schemes as tools for the maintenance of biodiversity. J
of Forestry 99:33-40.
Roovers LM, Shirley SR. 1997. Composition and dynamics of Spitler
Woods, an old-growth remnant forest in Illinois (USA). Natural Areas J
17:219-32.
Rowe JS, Barnes BV. 1994. Geo-ecosystems and bio-ecosystems. Bull
of the Ecological Soc of Amer 75:40-1.
Rowe JS, Sheard JW. 1981. Ecological classification: a survey
approach. Environ Mgmt 5:451-64.
Rypma RB. 1961. The structure and pattern of the primary forests of
Athens and Washington counties, Ohio [dissertation]. Columbus (OH): The
Ohio State Univ. 173 p.
Sauer LJ. 1998. The once and future forest: a guide to forest
restoration. Washington (DC): Island Pr. 381 p.
[SER] Society for Ecological Restoration Science and Policy Working
Group. 2002. The SER Primer on Ecological Restoration. www.ser.org/.
Smith DM. 1986. The Practice of Silviculture, 8th edition. New
York: John Wiley. 527 p.
ter Braak CJF, Smilauer P. 1998. CANOCO reference manual and
user's guide to CANOCO for Windows: software for canonical
community ordination (version 4.0). Ithaca (NY): Microcomputer Power.
Trombulak SC. 1996. The restoration of old-growth; why and how. In:
Davis MB, editor. Eastern Old-Growth Forests: Prospects for Rediscovery
and Recovery. Washington (DC): Island Pr. p 305-20.
P. CHARLES GOEBEL, DAVID M. HIX, AND MARIE SEMKO-DUNCAN, School of
Natural Resources, Ohio Agricultural Research and Development Center,
The Ohio State University, 1680 Madison Ave, Wooster, OH 44691; School
of Natural Resources, The Ohio State University, 2021 Coffey Road,
Columbus, OH 43210-1085
(1) Manuscript received 19 May 2003 and in revised form 2 October
2003 (#03-11).