Dead wood in semi-natural temperate broadleaved woodland: contribution of coarse and fine dead wood,...
Transcript of Dead wood in semi-natural temperate broadleaved woodland: contribution of coarse and fine dead wood,...
Dead wood in semi-natural temperate broadleaved woodland:contribution of coarse and fine dead wood,
attached dead wood and stumps
Bjorn Nordena,*, Frank Gotmarkb, Marie Tonnberga, Martin Ryberga
aBotanical Institute, Goteborg University, P.O. Box 461, SE-405 30 Goteborg, SwedenbZoological Institute, Goteborg University, P.O. Box 463, SE-405 30 Goteborg, Sweden
Received 27 May 2003; received in revised form 27 October 2003; accepted 20 February 2004
Abstract
Dead wood is essential for biodiversity in forests and is therefore often surveyed in conservation inventories. Usually only
coarse downed trees (logs) and standing dead trees (snags) are surveyed, but dead wood also occurs on living trees, in stumps,
and in fallen branches. Attached, standing (including stumps) and downed dead wood with a diameter of more than 1 cm was
surveyed in 25 semi-natural stands of temperate broadleaved woodland dominated by oak in southern Sweden (most trees
younger than 70 years but with an older generation of Quercus, and often Corylus scrub). This study is primarily motivated by
the rising interest in biofuel harvesting by thinning which will affect dead wood structure in forests, especially the finer dead
wood fractions. The sites in this study contained on average 14.3 m3/ha coarse dead wood (defined as wood with a diameter
>10 cm), which is more than twice as much as in production woodland. Fine dead wood (diameter 1–10 cm) made up another
12.2 m3/ha (45% of the total dead wood volume). Of the fine dead wood, on average 20% was oak wood and 71% was wood from
other broadleaved trees. The coarse dead wood fraction consisted equally of oak wood (46%) and wood from other broadleaved
species (47%). Coniferous wood amounted to 7% (coarse dead wood) or 8% (fine dead wood). The total dead wood volume was
dominated by downed (66%) and standing dead wood (22%), while attached dead wood and stumps amounted to smaller
fractions (6% each). The total volume of fine dead wood did not correlate with the total volume of coarse dead wood. These
results therefore suggest that fine dead wood cannot be predicted from conservation surveys of coarse dead wood. The value for
biodiversity of fine dead wood is discussed, and should not be overlooked in conservation work due to the fact that for example,
many fungi and insects are associated with it.
# 2004 Elsevier B.V. All rights reserved.
Keywords: Temperate broadleaved woodland; Biofuel; Coarse dead wood; Fine dead wood; Biodiversity
1. Introduction
Temperate broadleaved woodland is one of the most
severely disturbed and endangered biomes world-wide
(Hannah et al., 1995; Peterken, 1996). In Europe, such
woodland has declined dramatically, especially during
the last few centuries, and few natural or semi-natural
stands remain (Peterken, 1996; Lofgren and Anders-
son, 2000; Nilsson et al., 2001). The focus of this study
is on temperate broadleaved woodland and one habitat
component that is now rare; dead wood. Dead and
dying trees are crucial for biodiversity and for
Forest Ecology and Management 194 (2004) 235–248
* Corresponding author. Tel.: þ46-31-7732656;
fax: þ46-31-7732677.
E-mail address: [email protected] (B. Norden).
0378-1127/$ – see front matter # 2004 Elsevier B.V. All rights reserved.
doi:10.1016/j.foreco.2004.02.043
ecosystem functions, such as nutrient recycling in
forests (Harmon et al., 1986; McComb and
Lindenmayer, 1999). In many temperate broadleaved
woodlands, dead wood is a depleted resource, and the
situation is more severe in temperate forests than in
boreal forests, both within and outside reserves
(Fridman, 2000). As a part of ongoing conservation
and restoration programmes in this temperate biome,
knowledge of dead wood and its biology is essential.
Most of the existing literature on dead wood concerns
the boreal forest zone, where productivity is lower and
where coniferous trees predominate (but see Nilsson
et al., 2002).
Most of the land presently covered by temperate
broadleaved forest in Europe was once part of the
agricultural landscape, and often used as pasture
woodland (Harding and Rose, 1986; Vera, 2000). In
many areas of northern Europe pasture woodland was
dominated by oak trees (Quercus robur L.) with wide
canopies. Most pasture woodlands were abandoned
during the 19th century. Succession after the cessation
of grazing may potentially lead to habitats that are rich
in dead wood, created e.g. through self-thinning of
pioneer trees and branch-shedding in an increasingly
dense forest. Subsequently, large snags and logs may
also be created by the death of oak trees.
Current research on dead wood biology focuses on
large standing dead trees (referred to as snags below)
and large downed dead trees (referred to as logs
below) (Fridman and Walheim, 2000; Nilsson et al.,
2002). These two components of dead wood (pooled)
are often referred to as coarse woody debris (CWD).
Thinner fractions of the dead wood have rarely been
studied (but see Kruys and Jonsson, 1999). The focus
on CWD is often motivated by the depletion of large
snags and logs due to modern forestry practices.
The amount of CWD has decreased drastically since
the middle of the 19th century, following intense for-
estry (Linder and Ostlund, 1998; Siitonen et al., 2000;
Nilsson et al., 2001). As a result, the conditions for
many saproxylic organisms have deteriorated resulting
in a large number of them being threatened (Berg et al.,
1994; Jonsell et al., 1998; Gardenfors, 2000).
In recent times, the use of tops and branches from
trees for biofuel has increased (Lundborg, 1998;
Johansson, 2000; Malinen et al., 2001; Skogsstyrel-
sen, 2001; Fung et al., 2002). In addition whole-tree
harvesting of smaller trees occurs; for instance,
thinning of younger trees around old oak trees, a
recommended conservation management method in
overgrown oak-pastures (Butler et al., 2001; Dagley
et al., 2001), is a potential source of biofuel subject to a
current surge of interest in Sweden. The reason for this
current interest in forest biofuel is that it is a renewable
energy source that gives no net contribution of the
green-house gas CO2 to the atmosphere, in contrast to
fossil fuels. It is therefore often viewed as a sustain-
able alternative, but there are potential hazards for
biodiversity as a result of its harvesting. The removal
of biofuel material may strongly reduce the amount of
fine dead wood in forests with energy-rich hardwoods
and thus the current levels of fine dead wood and its
importance for biodiversity needs to be evaluated.
Increased harvesting may also have negative effects
on the carbon budget and nutrient status in forest soils
and thus also on tree growth (Olsson et al., 1993;
Jacobson et al., 2000; Agren and Hyvonen, 2003;
Egnell and Valinger, 2003).
Dead wood attached to live trees (Christenssen,
1977) and cut stumps (Siitonen et al., 2000) are two
commonly overlooked above-ground dead wood com-
ponents. In closed semi-natural forest, attached dead
wood (e.g. on oaks) may be important, and stumps
might be common, depending on the level of historical
human impact. This study provides a nearly total
estimation of the above-ground dead wood in 25 forest
stands and attempts to quantify the contributions made
by four dead wood components (attached, standing,
downed and stumps) in closed and mixed temperate
broadleaved woodland with oak; a common succes-
sional habitat in Sweden. The relative volumetric
contribution of fine dead wood and coarse dead wood
(more inclusive than the term CWD since some of the
coarse dead wood recorded is not debris, but still
attached to living trees, or in stumps) is also quanti-
fied. For coarse dead wood, densities of snags and logs
are quantified, to allow comparisons with earlier
studies. In addition to above-ground dead wood,
20–30% of the dead wood may exist in roots (Thomas,
2001), but this dead wood component is not studied
by us.
CWD is increasingly used for monitoring of
wildlife and biodiversity values (Keddy and
Drummond, 1996; McComb and Lindenmayer,
1999; Skogsstyrelsen, 2001). Fine dead wood and
components other than logs and snags may also be
236 B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248
valuable for biodiversity. Thus, this study investigates
whether levels of coarse logs and snags (CWD) are
reflected in the quantity of fine dead wood, and in the
components of coarse dead wood that are often over-
looked. This study also tests, for semi-natural stands,
if the density of stumps (i.e. logging intensity) is
negatively correlated to the CWD volume and the
volume of attached wood, which would indicate lin-
gering effects of cutting and a former degree of open-
ness on the present dead wood structure.
Several authors (Harmon et al., 1986; Sippola et al.,
1998; Nilsson et al., 2002) suggest that the volume of
dead wood is directly proportional to the living timber
volume (and hence to the productivity of the forest).
This study tests this hypothesis using the estimates of
dead wood volume (fine and coarse dead wood com-
bined) and total basal area of live trees. In addition the
differences between the contributions from different
woody species to attached and fine dead wood is
studied and analysed. Finally, the biodiversity values
of the four dead wood components (and fine and
coarse dead wood) for wood-living species, particu-
larly cryptogams and beetles is discussed.
2. Study sites
Closed temperate broadleaved woodland (mixed
oak woodland, with formerly open or semi-open stand
structure) was studied due to the fact that it potentially
has an interesting dead wood structure, and oak trees
have been reported to play key roles for biodiversity
(Berg et al., 1994; Ranius and Jansson, 2000; Nilsson
et al., 2001; Butler et al., 2001). The stands were semi-
natural in the sense that they were not planted, had a
tree species composition typical of the boreo-nemoral
zone (Table 1), and were old enough to accumulate
relatively high levels of dead wood without being
ancient forest (similar to the definition given by
Peterken, 1996). Twenty-five woodland sites were
surveyed, located in five counties in southern Sweden
(Fig. 1). The 25 sites were once open or semi-open, but
grazing was abandoned between about 1930 and 1960.
Most of the trees (except the oldest generation; which
were mainly oaks and Corylus) were therefore
between 40 and 70 years old. Historical maps from
the late 1800s (‘Generalstabens karta’) indicate that
the study sites were pasture woodlands with deciduous
trees (in one case, also coniferous trees). Only four of
the 25 sites lacked markings indicating the presence of
trees on these maps, Table 1. One of these sites (no.
18) apparently had some big oaks, judged from stumps
found in the area, although no trees were indicated on
the maps.
The sites were selected mainly on the basis of the
presence of Q. robur (on average 50 � 17% of the
basal area of living trees >5 cm diameter at breast
height (dbh), some Q. petraea Liebl. and intermediate
forms also occurred). The majority of oaks were 120–
160 years old, but at a few sites older oak trees were
also present. Stands of this kind are very small (usually
0.5–3 ha) but common in the landscape (5000–10 000
stands in southern Sweden, based on files from for-
estry boards studied by the authors). Younger trees of
many species, mainly Betula pendula Roth, B. pub-
escens Ehrh., Populus tremula L., Fraxinus excelsior
L., Acer platanoides L., Tilia cordata Mill. and Sorbus
aucuparia L. have invaded and now form a dense
canopy around the oaks. At seven sites, Picea abies
(L.)H. Karst. had invaded and forms a part of the
canopy (basal area of Picea at these sites, 10–35%;
>5 cm dbh). A common understorey shrub at almost
all sites was Corylus avellana L. All of the sites had
mesic and relatively rich soil, level ground (no steep
slopes), and closed or almost closed canopy; on
average 14% (S.D. 3.5%) of the sky was visible from
the ground (n ¼ 25, based on photographs).
All sites share the characteristics of woodland key
habitats (i.e. forest sites identified as potentially
important for Red Data Book plant species, see
Gustafsson, 2002), and eight of them are protected
as nature reserves. The sites thus had quite high
conservation values and relatively high concentra-
tions of coarse dead wood compared to production
forests in southern Sweden was expected. Due to the
fact that relatively young, abandoned pasture wood-
lands were used, no stands with extremely high con-
servation values were included (e.g. with many very old
trees,studiedbyRaniusandJansson,2000;Nilssonetal.,
2001).
3. Methods
Fieldwork was conducted during the autumn of
2000, the spring of 2001, and in late summer and
B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248 237
autumn of 2002. Each site consisted of two juxtaposed
squares (assigned for other purposes), each covering
1 ha (usually 100 m � 100 m). All surveys followed
the same base-line transects in the squares, but the
number of transects and size of the area inventoried
varied between surveys of different dead wood com-
ponents. The transects were separated by at least 10 m,
and placed systematically in each square (Fig. 2). Only
dead wood occurring inside the limits of the area
defined by the transects was included; thus, parts of
dead branches or logs extending outside of the transect
area were excluded.
A lower diameter limit of 10 cm was chosen for
coarse dead wood, thus excluding most branches from
this category, and instead recording them as fine dead
wood. The most commonly used lower limit for CWD
seems to be 10 cm (Kruys and Jonsson, 1999; Fridman
and Walheim, 2000; Nilsson et al., 2002), although
some authors include wood down to 5 cm (Siitonen
et al., 2000) or even 2.5 cm in diameter (Peterken,
1996). All dead wood with a diameter of more than
10 cm was defined as coarse dead wood in this study,
including standing, attached (to live trees) and downed
wood, as well as wood in stumps. Coarse dead wood
was surveyed in four 10 m � 100 m transects
(4000 m2) running across each square (two squares
per site; Fig. 2).
The length of logs was measured up to the point
where they became less than 10 cm in diameter, and
the diameter at the centre of the measured part (half
Table 1
Characteristics of the studied sites
Sitea Protection statusb Stand agec (years) Cutting intensityd Basal area of living trees (m2/ha)
Coniferous Oak Other broadleaved trees
1 WKH >124 40.0 1.2 18.2 9.0
2 WKH >124 38.8 0.3 13.1 6.7
3 WKH >111 78.8 1.6 15.1 14.4
4 WKH >111 5.0 15.1 10.2 5.5
5 NR >121 27.5 1.3 22.8 7.9
6 WKH >125 20.0 5.5 4.2 19.9
7 NR >124 31.2 1.1 11.6 0.0
8 WKH <141 37.5 0.2 11.8 15.8
9 NR >141 72.5 5.7 16.2 12.3
10 WKH >138 70.0 2.3 20.3 13.3
11 NR >126 13.8 0.0 6.0 15.6
12 WKH >128 22.5 4.5 17.2 16.5
13 WKH >127 21.2 3.5 7.2 16.1
14 WKH >127 7.5 2.6 14.0 13.0
15 WKH <125 23.8 4.9 18.8 5.9
16 WKH >125 27.5 11.0 15.8 7.5
17 WKH >128 88.8 1.4 10.1 13.0
18 WKH <126 77.5 0.5 18.3 7.1
19 WKH >132 17.5 3.5 14.4 5.5
20 WKH >132 32.5 8.7 17.1 5.4
21 WKH >134 42.5 0.3 10.6 15.8
22 NR >134 27.5 10.2 16.8 7.1
23 NR >162 32.5 2.7 8.5 10.4
24 NR >164 7.5 0.0 26.5 4.3
25 NR <164 5.0 0.0 11.9 17.2
Mean 34.8 3.5 14.3 10.6
S.D. 24.4 4.0 5.3 5.1
a Numbers refer to Fig. 1.b WKH: Woodland Key Habitat, NR: Nature Reserve.c Number of years of forest cover according to available historical maps. Oldest tree generation usually oaks.d Number of cut stumps with a diameter of more than 20 cm/ha.
238 B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248
length). The volume of logs was estimated as
V ¼ ðLpD2Þ=4 (Patterson et al., 1993), where V is
the volume, L the length, and D the diameter. This
formula gives estimates roughly similar to the formula
for volume of a cut cone (frustum). The volume of
standing dead trees was calculated from estimated
height and diameter measured at breast height, by
using the tables presented in Hagberg and Matern
(1975) for oak and beech (Fagus sylvatica L.), and
Naslund (1947) for other broadleaved trees and con-
ifers. The density of coarse logs and snags (CWD)
were calculated from the same transects. Cut trees had
on occasions been sawn up into pieces after felling.
These pieces (left by cutters, and subsequently noted
in our survey) were not counted separately. Instead the
pieces were pooled up to a given summed length and
the density of such ‘standard logs’ was calculated. The
length of standard logs was set at 8 m when the
diameter of the logs exceeded 15 cm. For pieces with
a diameter of 10–15 cm, the length of a standard log
was set at 6 m.
The stumps were either natural (formed by e.g.
wind-throw) or due to cutting. The diameter of natural
stumps was measured at the top if they were short,
otherwise at breast height, and their maximum height
was set at 2 m (otherwise recorded as snags). Most
stumps were lower than 0.4 m. The height of cut
stumps and the diameter at the cutting height and at
ground level was measured, but only cut stumps that
were more than 20 cm in diameter at the cutting height
were included. The volume of stumps was calculated
from the formula for a cut cone.
Fine dead wood (defined in this study as wood with
diameter between 1 and 10 cm) measurements are
more time-consuming to collect, so a smaller area
in each coarse dead wood transect was surveyed for
this fraction. Each transect was divided into four 25 m
sections. The fine dead wood was surveyed in
Fig. 1. Locations of the forest stands investigated in southern Sweden: 1, Skolvene; 2, Karla; 3, Ostadkulle; 4, Sandviksas; 5, Rya asar; 6,
Strakaskogen; 7, Bondberget; 8, Langhult; 9, Bokhultet; 10, Kraksjoby; 11, Stavsater; 12, Atvidaberg; 13, Fagerhult; 14, Aspenas; 15, Norra
Vi; 16, Froasa; 17, Ulvsdal; 18, Hallingeberg; 19, Ytterhult; 20, Farbo; 21, Emsfors; 22, Getebro; 23, Lindo; 24, Vickleby; 25, Albrunna.
B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248 239
2 m � 2:5 m squares, placed randomly within each
section, along the central axis of each coarse dead
wood transect (Fig. 2; in total thirty-two 2 m � 2:5 m
squares, or 160 m2 of each of the 25 sites).
To calculate dead wood volume, the diameters of
branches were measured at the top and bottom. The
volumes were then calculated from the formulas for a
cylinder, or cut cone (if the top and bottom diameters
differed). Attached dead wood was defined as
branches and other dead wood attached to live trees
2 m above the ground (branches—always thinner than
10 cm—attached below 2 m were counted as fine dead
wood and recorded only in that survey). Standing dead
wood was defined as snags and smaller standing dead
trees and bushes. Attached dead wood (above 1 cm in
diameter) was surveyed in 2000 m2 in each square,
and two representative transects of the four
10 m � 100 m transects were followed. Firstly the
height above the ground for each attached dead branch
was determined, and then its diameter where it met the
trunk was visually estimated (using a ‘diameter ruler’,
calibrated by the authors from dead branches of a
known diameter on the ground observed at known
distances). Finally the length of each branch was
visually estimated. In the volume calculations, uni-
formly thick branches (or parts of) and cone branches
were separated, using the standard formulas.
Diameter at breast height (considered to be 1.3 m
above the ground) was measured for the calculation of
basal area in a representative area of 3000 m2 in each
square, excluding stems less than 5 cm dbh (and
higher than 1.3 m) which were surveyed along two
transects (50–200 m2 per square, depending on stem
density). The volume of dead wood per hectare, and
basal area per hectare, was extrapolated from the
respective measurements, and a mean value for the
two squares was used for the analyses. Sites (n ¼ 25,
Fig. 1) were sample units in the statistical analyses.
Spearman’s rank test was used for all correlation
analyses, since the data did not conform to normality
and other assumptions needed for parametric tests
even after transformation. Bonferroni correction
(Rice, 1989) was used to adjust significance levels
whenever the same data was used for multiple tests.
The volume of CWD (coarse logs and snags) was
tested against the volume of fine dead wood, stumps
and attached wood. To investigate if the proportion of
attached dead wood and fine dead wood differed
between tree species, indices were produced based
on the relative contribution made by the six most
important woody taxa, viz. B. pendula and B. pub-
escens (pooled in the field), C. avellana, P. tremula, Q.
petraea and Q. robur (pooled), P. abies and S. aucu-
paria. The indices were calculated by dividing the
proportion of attached wood and fine dead wood by
the proportion of basal area for each woody species at
each site. The values were log transformed and tested
by ANOVA. The Tukey’s HSD test for unequal N
(Spjotvoll/Stoline test) for post-hoc comparisons was
then used.
4. Results
4.1. Dead wood volume and structure
Based on mean values for the 25 sites, the total dead
wood volume was dominated by downed (66%) and
standing dead wood (22%), while attached dead wood
and stumps amounted to smaller fractions (6% each;
Table 2). Of the stump volume, 84% consisted of cut
stumps and 16% of natural stumps (mean volumes
1.42 and 0.27 m3/ha, respectively). Standing dead
20 m
Fig. 2. The transects sampled for dead wood. Coarse dead wood
was sampled in four 10 m broad transects, each divided into four
sections, in each square. The transects were separated by at least
10 m. Fine dead wood was sampled in 2 m � 2:5 m squares
randomly placed in each section along the central axis of the four
transects.
240 B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248
wood and stumps had the highest coefficients of
variation, attached was intermediate and downed dead
wood varied least of the components over the sites
(Table 2).
The volumes of dead wood of the four components
were not significantly correlated to each other except
for the volume of attached wood which was negatively
correlated with the volume of stumps (Table 3),
although this correlation did not hold at the 5% level
after Bonferroni correction.
In contrast to what one might expect, the total dead
wood volume was dominated by broadleaved species
other than oak (on average 57%, Table 2); the average
contribution of dead oak wood was 33% (basal area
50 � 17%), whereas conifers (mainly Picea abies)
were of minor importance (on average 9%), which
was expected since the study focused on broadleaved
stands. Compared with conifers and other broadleaved
trees and shrubs however, dead oak dominated in
attached dead wood (on average 67%) and in stumps
(63%). In absolute volumes, oak had the most even
distribution of dead wood over the four components
(Table 2), implying that it has the highest dead wood
diversity (in terms of wood components) in this type of
forest. Dead wood of other broadleaved species
mainly occurred as downed wood.
Fine dead wood on average made up almost half
(46%) of the total dead wood volume (Table 4), of
which 18% (4.9 m3/ha) had a diameter between 1 and
5 cm and 27% (7.2 m3/ha) had a diameter between 5
and 10 cm. Twenty-two percent (5.9 m3/ha) of the
dead wood had a diameter between 10 and 20 cm,
Table 2
Volumes of attached dead wood, downed dead wood, standing dead wood, and stumps (m3/ha; mean and S.D.) for coniferous trees (Picea
abies, Pinus sylvestris and Juniperus communis), oaks (Q. robur and Q. petraea), and other broadleaved species (pooled) (n ¼ 25 sites)
Dead wood component Attached Standing Downed Stumpsa Total CVb
Coniferous 0.07 � 0.09 0.30 � 0.69 1.74 � 2.77 0.17 � 0.11 2.28 � 3.25 1.43
Oak 1.06 � 0.74 2.76 � 3.00 3.87 � 3.32 1.08 � 0.68 8.76 � 4.75 0.54
Other broadleaved 0.47 � 0.39 2.62 � 2.23 11.8 � 6.12 0.45 � 0.29 15.4 � 7.21 0.47
Total 1.59 � 0.88 5.69 � 4.18 17.4 � 6.78 1.70 � 1.08 26.4 � 8.69 0.33
CVb 0.56 0.73 0.39 0.64 0.33
a Only stumps broader than 20 cm are included.b Coefficient of variation (S.D./mean), based on total values for each component and site.
Table 3
Spearman’s rank correlation between the different components of dead wood (n ¼ 25 sites)
Dead wood component Attached Standing Downed
rs P rs P rs P
Standing �0.062 0.770
Downed 0.375 0.065 0.259 0.211
Stumps �0.458 0.021a �0.169 0.419 �0.209 0.315
a Not significant after Bonferroni correction.
Table 4
Amounts of coarse (diameter >10 cm) and fine (diameter 1–10 cm)
dead wood at 25 sites (m3/ha; mean and S.D., n ¼ 25 sites) for
coniferous trees (Picea abies and Pinus sylvestris), oaks (Q. robur
and Q. petraea), and other broadleaved species (pooled)
Dead wood
component
Fine dead
wood
Coarse dead
wood
Coniferous 0.98 � 1.23 1.03 � 1.97
Oak 2.44 � 1.24 6.60 � 4.48
Other broadleaved 8.67 � 5.89 6.69 � 4.79
Total 12.2 � 5.09 14.3 � 7.95
CVa 0.42 0.56
a Coefficient of variation (S.D./mean), based on total values for
each component and site.
B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248 241
and 32% (8.4 m3/ha) had a diameter of more than
20 cm. Coarse dead wood volume varied more than
fine dead wood volume between sites (Table 4). The
coarse dead wood volume at the sites did not correlate
with the fine dead wood volume (rs ¼ �0:04,
P ¼ 0:86, n ¼ 25), and the sum of coarse logs and
snags (CWD) did not correlate with the sum of the
other components i.e., fine dead wood, stumps, and
attached dead wood (rs ¼ 0:00, P ¼ 1:00, n ¼ 25).
Together these on average amounted to a slightly
lower volume than did CWD (12.2 m3/ha as opposed
to 14.3 m3/ha or 46% versus 54%).
4.2. Dead wood density
Broadleaved trees other than oaks had the highest
densities of coarse dead wood (in spite of the basal
area of oak being 50 � 17%). The total average den-
sity was 115 coarse dead wood objects per hectare
(Table 5). Table 6 shows the summed numbers of
coarse dead wood objects belonging to different tree
species; the dominating trees were Quercus, Betula
and Picea.
The number of cut stumps per hectare (logging
intensity) was significantly negatively correlated to
Table 5
Densities of coarse dead wood objects (numbers per hectare; mean and S.D., n ¼ 25 sites) in the categories snags, downed and stumps for
coniferous trees (Picea abies and Pinus sylvestris), oaks (Q. robur and Q. petraea), and other broadleaved species (pooled)
Coarse dead wood Snags Downed Stumps Total CVa
Coniferous 1.15 � 2.34 4.00 � 8.97 4.95 � 9.12 10.1 � 14.8 1.47
Oaks 12.6 � 11.4 16.4 � 17.0 20.3 � 14.7 49.2 � 31.5 0.64
Other broadleaved 10.5 � 9.07 32.7 � 22.5 12.6 � 9.95 55.8 � 33.9 0.61
Total 24.2 � 13.6 53.1 � 30.1 37.8 � 24.4 115 � 46.6 0.40
CVa 0.56 0.57 0.65 0.40
a Coefficient of variation (S.D./mean), based on total values.
Table 6
The total numbers of coarse dead wood objects belonging to different tree species summed over all sites
Tree species Logs Snags Stumps, cut Stumps, natural Total
Acer platanoides 8 0 2 1 11
Alnus glutinosa/incana 78 15 44 17 154
B. pendula/pubescens 235 78 64 20 397
Corylus avellana 42 28 3 8 81
Crataegus spp. 5 7 0 2 14
Fagus sylvatica 7 3 10 0 20
Fraxinus excelsior 38 14 11 1 64
Juniperus communis 17 0 1 1 19
Malus domestica 2 5 0 0 7
Picea abies 80 17 78 11 186
Pinus sylvestris 16 6 11 2 35
Populus tremula 84 24 12 5 125
Prunus avium 2 0 1 1 4
Prunus padus 3 0 1 0 4
Q. robur/petraea 323 252 400 17 992
Salix caprea 35 7 6 1 49
Sorbus aucuparia 19 10 4 1 34
Sorbus intermedia 15 5 0 3 23
T. cordata 33 12 16 5 66
Ulmus glabra 1 0 0 0 1
Unknown 24 2 31 4 61
Total 1067 485 695 100 2347
242 B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248
Fig. 3. Correlations between basal area and dead wood volume: (A) coniferous trees (rs ¼ 0:32;P ¼ 0:004; n ¼ 25); (B) oak trees
(rs ¼ 0:13;P ¼ 0:07; n ¼ 25); (C) other broadleaved trees and shrubs (excluding oak) (rs ¼ 0:38;P < 0:001; n ¼ 25); (D) total
(rs ¼ 0:006;P ¼ 0:72; n ¼ 25).
Tree species
Inde
x of
atta
ched
woo
d
0
0.5
1
1.5
2
2.5
3
Betula Corylus Picea Populus Quercus Sorbus
Fig. 4. Proportion of attached dead wood for the six most common woody species (B. pendula and B. pubescens (treated together, n ¼ 18);
Corylus avellana, n ¼ 22; Picea abies, n ¼ 19; Populus tremula, n ¼ 18; Q. robur and Q. petraea (treated together, n ¼ 25) and Sorbus
aucuparia, n ¼ 24). Each bar shows the proportion of attached wood for one tree group divided by the proportion of basal area (of the total
basal area) for the same species. Given are mean values and S.E. (n ¼ 25).
B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248 243
the volume of attached dead wood (rs ¼ �0:50;P ¼0:01; n ¼ 25; also significant at the 5% level after
Bonferroni correction), but not to the total dead wood
volumeexceptstumps(rs ¼ �0:25;P ¼ 0:23; n ¼ 25).
4.3. Correlations between basal area and dead wood
The forest stands studied were closed and dense, but
the basal area for the tree species groups varied among
Fig. 5. Proportion of fine dead wood for the six most common woody species (B. pendula and B. pubescens (treated together, n ¼ 13); Corylus
avellana, n ¼ 16; Picea abies, n ¼ 12; Populus tremula, n ¼ 12; Q. robur and Q. petraea (treated together, n ¼ 15) and Sorbus aucuparia,
n ¼ 16). Each column shows the proportion of fine dead wood for one woody species divided by the proportion of basal area to the total basal
area for the same species. Given are mean values and S.E. (n ¼ 25).
Table 7
Results of post-hoc ANOVA tests (Tukey’s HSD test for unequal N) of differences between fine dead wood indices
P-value Betula, n ¼ 13 Corylus, n ¼ 16 Picea, n ¼ 12 Populus, n ¼ 12 Quercus, n ¼ 15 Sorbus, n ¼ 16
Betula <0.001* 0.999 0.564 0.999 0.015*
Corylus <0.001* 0.112 <0.001* 0.862
Picea 0.316 0.999 0.007*
Populus 0.388 0.621
Quercus 0.003*
To produce the indices, the proportion of fine dead wood per tree or tree group was divided by the proportion of basal area for the same tree or
tree group.* Denotes significance at the 5% level, n is the number of sites used in statistical analysis.
Table 8
Results of post-hoc ANOVA tests (Tukey’s HSD test for unequal N) of differences between attached dead wood indices
P-value Betula, n ¼ 18 Corylus, n ¼ 22 Picea, n ¼ 19 Populus, n ¼ 18 Quercus, n ¼ 25 Sorbus, n ¼ 24
Betula 0.188 0.993 0.981 0.070 0.641
Corylus 0.039* 0.579 0.997 0.950
Picea 0.796 0.011* 0.260
Populus 0.315 0.961
Quercus 0.716
To produce the indices, the proportion of attached dead wood per tree or tree group was divided by the proportion of basal area for the same
tree or tree group.* Denotes significance at the 5% level, n is the number of sites used in statistical analysis.
244 B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248
the sites. There was a positive trend between oak basal
area and oak dead wood volume (rs ¼ 0:13;P ¼ 0:07;n ¼ 25) and strong positive correlations for conifers
(rs ¼ 0:32;P ¼ 0:004; n ¼ 25) and broadleaved trees
excluding oaks (rs ¼ 0:38;P < 0:001; n ¼ 25). On
the contrary however, the total basal area did not
correlate with the total volume of dead wood
(rs ¼ 0:006;P ¼ 0:72; n ¼ 25). These four relation-
ships are shown in Fig. 3.
The quotient of attached dead wood (Fig. 4) and fine
dead wood (Fig. 5), in relation to basal area, was
highest for Corylus avellana. This study highlighted a
strong effect of tree species on the fine dead wood
index (one-way ANOVA, F ¼ 9:54; d:f: ¼ 5;P <0:001). Post-hoc comparisons with Tukey’s HSD test
showed that Corylus and Sorbus both had significantly
higher fine dead wood indices than Betula, Picea and
Quercus (Table 7). For attached dead wood, the
Tukey’s HSD test showed that Corylus and Quercus
both had significantly higher indices than Picea
(Table 8).
5. Discussion
Dead wood components other than coarse woody
debris (CWD; coarse logs and snags) can apparently
form a major part of the total volume of dead wood in
semi-natural temperate broadleaved woodland. The
total volume of fine dead wood, attached dead wood
and stumps did not correlate to that of CWD at the site
(stand) level. Large logs and snags are easy to survey
and if they had given an indication of the total volume
of dead wood, it would be sufficient to survey only
these components. The results of this study however,
suggest that fine dead wood, attached dead wood and
stumps also need to be surveyed. In particular, if the
aim is to quantify the total volume of dead wood or the
major components of dead wood in forests. The
amount and relative importance of coarse dead wood
probably increases as the forest matures and finally
reaches old-growth stage (Nilsson et al., 2002). Whilst
the amount of coarse dead wood is considerably less in
young stands than in old-growth stands, the amount of
fine dead wood may be as high or higher in the former
due to copious self-thinning and branch-shedding.
This remains however, conjecture, since no studies
have been carried out on the amount and relative
importance of fine dead wood in comparable forest
stands of varying ages. Another factor influencing the
type of dead wood produced is the openness of the
forest. For instance, oaks change architecture accord-
ing to light regime and may develop very wide cano-
pies with coarse limbs in copious light. At the study
sites, which share a similar history and used to be more
open, such coarse branches have now largely been
shed.
At the 25 study sites, the coarse dead wood
volume was on average 14.3 m3/ha. In comparison,
managed woodlands in southern Sweden contain on
average less then half of this amount (Fridman and
Walheim, 2000), whilst natural old-growth forest
may contain much higher amounts of CWD than
was found in this study (Nilsson et al., 2002). The
density of downed coarse dead wood at the study
sites was also lower than in old-growth woodland.
The mean density of logs and snags with a minimum
diameter of 10 cm at the study sites was 38% of the
average for old-growth forests in Europe (see
Nilsson et al., 2002).
According to Peterken (1996), dead wood input in
temperate broadleaved woodland is generally lower
than in boreal coniferous forests, decay rates are faster
and accumulation of dead wood therefore lower (due
to climatic and other differences between the biomes).
Differences between dead wood structure of broad-
leaved and coniferous trees in mixed forest has, to the
authors’ knowledge, not been studied before. The
quotients of attached and fine dead wood to basal
area differed between tree species. The factors which
are likely to be responsible for this are varying tree age
and density between sites, and differences in canopy
architecture between species. In relatively dense and
closed forest, such as those studied, trees successively
shed lower branches due to low or decreasing light
levels (Addicott, 1991), a process often associated
with specialised fungi (von Butin and Kowalski,
1983). Most of the broadleaved trees at the study sites
had higher quotients compared to the conifer Picea
abies. Broadleaved trees generally have more complex
branching patterns than coniferous trees (Niklas,
1997), which may lead to a higher production of fine
dead wood. The shrub hazel Corylus avellana had the
highest quotients. It differs from the other tree species
studied, by the fact that it is lower in height (usually
less than 6 m) and multi-stemmed, with individual
B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248 245
stems rarely exceeding 10–15 cm dbh. Hazel is an
early colonising light-demanding species, often dis-
favoured by continued succession towards high forest
(Vera, 2000). It is likely that dead wood production by
hazel reaches its peak in an intermediate phase of
succession.
In general it is clear that the more there is of a tree
species in a forest, the more dead wood is produced
from that tree species. When tested separately for tree
species groups, there were significant correlations and
in one case a strong positive trend, between basal area
and dead wood volume. A correlation between site
productivity and volume of CWD was predicted by
Nilsson et al. (2002) for natural old-growth wood-
lands. The authors’ tested if there was an analogous
correlation between total basal area of living trees
(strongly correlated to productivity as noted by Nils-
son et al. (2002)) and total volume of dead wood, but
found no such pattern. This indicates that basal area
(pooled) should not be used to predict dead wood
volumes, at least not in the type of forest studied here,
where total basal area is not only a measure of site
productivity, but is probably also related to stand age
and past management. In the stands included in this
study, succession to natural forest is currently taking
place; they are not natural in the sense that they have
lingering effects of former land-use influencing tree
demography and dead wood structure.
Tree species, diameter of the dead wood and com-
ponent of dead wood (attached, standing, downed or
stump) are likely to be important determinants of
species diversity of saproxylic organisms. Among
the 6000 or so saproxylic species in Sweden, 50%
are associated with broadleaved trees, 27% with con-
iferous trees, 11% with both types of trees, and for an
additional 11%, information on their associations is
lacking (Dahlberg, 2003). Betula and Pinus are the
two tree species supporting the highest numbers of
saproxylic species (around 1100–1200 species each),
closely followed by Picea, Populus and Quercus with
around 1000 species each (Dahlberg, 2003). Propor-
tionately, Quercus supports a higher number of species
than any of the other mentioned tree species, since
Quercus constitutes only 1% of the volume of living
trees in Sweden (Stener, 1998), a country dominated
by boreal forests and conifers. Oak also supports a
higher proportion of Red Data Book species than any
other tree species in Sweden; approximately 300 Red
Data Book species are dependent on dead oak wood
(Dahlberg, 2003).
A very large number of cryptogams, invertebrates,
birds and mammals are dependant upon CWD (coarse
dead trees, including those which are broken and
fallen; Berg et al., 1994; Samuelsson et al., 1994;
Jonsell et al., 1998), but the potential values of fine
dead wood are rarely discussed in the literature.
Dahlberg (2003) found that more than 50% of all
saproxylic species in Sweden occur mainly in dead
wood with a diameter of less than 20 cm, and 10%
occur mainly on wood with a diameter of less than
5 cm. Many saproxylic beetles, several of which are
listed in the Red Data Book in Sweden, occur exclu-
sively or predominantly in such wood (Ehnstrom and
Axelsson, 2002). It is also known that fine dead wood
is important for saproxylic bryophytes, fungi and
lichens in boreal coniferous forest (Kruys and Jonsson,
1999). The authors’ own recent studies indicate that
fungi form very species-rich communities on fine dead
wood (Norden and Paltto, 2001), and that 75% of the
saproxylic ascomycetes in temperate broadleaved
woodland may occur exclusively on fine dead wood
(Norden et al., 2004).
The value of attached dead wood and stumps for
biodiversity needs further investigation. Stumps may
be very old in the types of stands studied here, as dead
oak wood persists for long time. Both stumps and
attached wood supply specialist niches for saproxylic
species. A survey of the 25 study sites showed that
stumps of oak supported an interesting flora of cryp-
togamic species, with for instance the Red Data Book
lichen Cladonia parasitica (Hoffm.) Hoffm. and the
Red Data Book fungus Perenniporia medulla-panis
(Jacq.: Fr.) Donk. In addition, stumps generally had
higher species density (number of species per surface
area) of bryophytes and lichens than logs and snags
(Lindholm, 2001). Dead oak branches still attached
support a specialised fungal flora (for instance the Red
Data Book species Pachykytospora tuberculosa (DC.:
Fr.) Kotl. & Pouzar; see also Boddy and Rayner, 1983)
and several beetles (Ehnstrom and Axelsson, 2002).
In conclusion, the role of fine dead wood and
other components of dead wood often overlooked,
can be greater than commonly assumed. This needs
further investigation given that fine dead wood can
contribute substantially to the total dead wood volume
in semi-natural successional forests. Self-thinning
246 B. Norden et al. / Forest Ecology and Management 194 (2004) 235–248
broadleaved stands in particular, such as those studied
here may be interesting habitats that are important for
biodiversity. Biofuel production from forests, if per-
formed on a large proportion of the forest land, must
take this into consideration.
Acknowledgements
We are grateful to Camilla Niklasson and Julia
Svenker for help with the field work, and to Thomas
Appelqvist who read and critically commented on an
early draft of the manuscript. The following forest
owners kindly provided study sites: Sven-Gunnar and
Dan Ekblad; Anders Heidesjo; Gote, Gullan and
Mikael Isaksson; Anette Karlsson; Bo Karlsson;
Nils-Olof and Jan-Ake Lennartsson; the County
Administration Boards of Kalmar and Ostergotland;
the Municipalities of Boras, Jonkoping, Oskarshamn
and Vaxjo; the Dioceses of Linkoping and Skara; and
the forest companies Boxholms Skogar, Holmen
Skog, and Sveaskog. We thank all involved in this
work, and gratefully acknowledge that the Swedish
Energy Agency, the Swedish Research Council, and
the foundations of Anna and Gunnar Vidfelt, Magnus
Bergvall, and Carl Stenholm provided financial sup-
port.
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