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The Burrowing Characteristics of Three Common
Earthworm Species (Statistical Data Included)
11/1/2001
Australian
Journal of Soil Research
By P.M. Fraser
The
burrowing characteristics of 3 common earthworm species were studied using
X-ray computed tomography (CT) scanning in large cylinders (24.1 cm diam.)
packed with topsoil (0-25 cm) and subsoil (25-50 cm) to representative field
bulk density values and sown with ryegrass. Replicated cylinders (n = 3), kept
under constant moisture and temperature conditions, were inoculated with mature
species of Lumbricus rubellus, Aporrectodea caliginosa, or Octolasion cyaneum
earthworms at rates similar to their population density in the field. A
non-inoculated, unreplicated control was also included. The number, biomass,
and activity of the 3 species were then examined. CT scans were taken every
5-10 cm through the soil cylinders 20, 40, and 60 days after inoculation to
measure burrow parameters. Mean pore area was greatest for O. cyaneum and L.
rubellus, and least for A. caliginosa. Porosity produced by both L. rubellus
and A. caliginosa declined with depth. L. rubellus was most active in the top 5
cm, whereas A. caliginosa was most active in the top 10 cm. O. cyaneum created
its burrows relatively uniformly throughout the top 20 cm. No species created
significant porosity below 20 cm. The greatest amount of porosity and number of
pores were created in the cylinders inoculated with A. caliginosa. However,
porosity created per earthworm was least for A. caliginosa and L. rubellus and
greatest for O. cyaneum. Porosity per biomass was least for L. rubellus and
greatest for A. caliginosa and O. cyaneum. A. caliginosa created mainly
temporary burrows, with 72-85% of its burrows backfilled between scans. L.
rubellus burrows lasted longer (56-64% backfilled between successive scans) and
hydraulic conductivity measurements suggested that L. rubellus burrows were
surface-connected and more continuous than those created by A. caliginosa. It
appears that, of the 3 species studied, L. rubellus has the most beneficial
effects on the measured soil physical properties.
Additional
keywords: Aporrectodea caliginosa, earthworm burrows, hydraulic conductivity,
Lumbricus rubellus, Octolasion cyaneum, porosity.
Introduction
In
agricultural soils in New
Zealand, earthworm populations consist of
introduced European lumbricid species and are dominated by Aporrectodea
caliginosa, with smaller numbers of both Lumbricus rubellus and Octolasion
cyaneum (Springett 1992; Fraser et al. 1996). The burrowing of lumbricid
earthworms in general increases the volume and continuity of soil macropores,
soil structural stability, and consequently the movement of water and air.
However, information on the burrowing characteristics of individual species is needed
so that management practices can be identified that will encourage their
specific beneficial effects.
In New Zealand
studies, earthworm burrowing has been assessed through direct observation along
the walls of soil containers (Springett 1983; Springett and Gray 1998),
destructive sampling of large soil containers for image analysis (Francis and
Fraser 1998), or in the field using minirhizotrons (Springett and Gray 1997).
However, as earthworm burrowing behaviour changes on encountering container walls
or observation tubes (Joschko et al. 1991), the burrows observed by Springett
(1983) and Springett and Gray (1997) may not be typical of those created in the
field. The large containers used by Francis and Fraser (1998) reduced edge
effects on burrowing behaviour, but the destructive sampling of the containers
prevented an assessment of the longevity of earthworm burrows.
X-ray CT scanning of large-diameter soil cylinders
offers an alternative method for obtaining information on the burrowing
characteristics of earthworms (Jegou et al. 1999). As this method is
non-destructive, repeat measurements can be made and the use of large cylinders
minimises edge effects. The objectives of this study were to: (i) assess the
burrowing characteristics of 3 earthworm species (under artificial conditions)
through measurement of 2-D porosity using X-ray CT scanning, (ii) estimate the
extent of burrow backfilling between sequential scans, and (iii) estimate the
continuity of earthworm burrows with depth through hydraulic conductivity
measurements.
Materials
and methods
Experimental
design and management
In July
1997, samples of topsoil (0-25 cm) and subsoil (25-50 cm) were taken from an
intensively cropped Wakanui silt loam soil (Udic Dystochrept; USDA Soil Taxonomy
or Immature Pallic Soil; Hewitt 1993) from the Crop and Food Research Farm at
Lincoln, New Zealand (43 [degrees] 38'S, 172 [degrees] 30'E). The soil was
sieved through an 8-mm-diameter sieve and then hand sorted to remove any
resident earthworms and eggs.
Ten
cylinders were constructed from PVC pipe, with an external diameter of 25 cm
and an internal diameter of 24.1 cm. The cylinders consisted of a topsoil (35
cm long) and a subsoil (25 cm long) section that were bolted firmly together.
The base and top plates had flattened edges to ensure the same orientation was
used for successive CT scans. The internal surfaces of the cylinders were
coated with silica sand, stuck on with PVA glue, to discourage worms
preferentially burrowing down the sides of the cylinders (Francis and Fraser
1998).
Soil was
weighed (corrected for moisture content) into the amounts required to fill 5-cm
layers of the cylinders to a bulk density of 1.2 g/[cm.sup.3] for the topsoil
sections and 1.3 g/[cm.sup.3] for the subsoil sections. These bulk densities
are typical values for this soil in the field (Watt and Burgham 1992). Equal
amounts of dried, ground lucerne and ryegrass were mixed together and this
herbage was mixed with topsoil at a rate of 8 g/kg soil and with subsoil at a rate
of 2 g/kg soil, to provide a food source for the earthworms (Springett 1983).
The subsoil sections of the cylinders were then packed using a manual press
with soil in 5-cm-layer increments (to ensure even packing) to a total depth of
25 cm. The topsoil sections of the cylinders were then attached, and the
topsoil packed in a similar way. The total depth of the topsoil was 25 cm,
resulting in a 10-cm gap at the top of the cylinder to prevent escape of
earthworms. Ryegrass (cv. Tama) was then sown at a rate equivalent to 15 kg/ha
just under the soil surface and the soil volumetric moisture content adjusted
to 34%, which corresponded to 95% of field capacity (Francis et al. 1999). The
cylinders were transferred to a growth cabinet and initially kept at 20 [degrees]
C and illuminated for 12 h per day to encourage grass germination and growth.
The cylinders were weighed daily throughout the experiment, with water applied
using a hand-held sprayer to bring the soil moisture content to 34%. Grass was
trimmed with scissors to 10 cm above ground level when growth exceeded the
height of the cylinder.
Sixteen
days after sowing, the cylinders were inoculated with mature Aporrectodea
caliginosa, Lumbricus rubellus, or Octolasion cyaneum earthworms at rates
similar to the population density of that species in the field (Springett 1983;
Fraser et al. 1996) (Table 1). After the earthworms were introduced, the growth
cabinet temperature was adjusted to 16 [degrees] C and day length was adjusted
to 14 h (Springett 1983). The moisture and temperature conditions used in this
experiment are close to the optimal conditions for encouraging activity and
survival of the 3 earthworm species (El-Duweini and Ghabbour 1968; Lee 1985). A
nil earthworm control treatment was included in the experiment. All treatments
were replicated 3 times, except the control, which consisted of 1 replicate
only.
CT
scanning and image analysis
A test of
this method was made using an additional cylinder that had been packed with
topsoil and inoculated with A. caliginosa earthworms. This cylinder was placed
on the table of the CT scanner so that the X-ray beam would pass through the
cylinder in a horizontal plane at approximately 5 cm below the soil surface.
The locating light in the CT scanner was then turned on to produce a thin (0.5
mm) light beam around the outside of the cylinder. The position of this light
beam was marked on the cylinder using a thin (0.5 mm) pen. An additional mark
was made on the cylinder wall where it met with the line that ran down the
centre of the scanner table. A CT
scan was taken at this position and then the cylinder was removed from the
scanning table. This cylinder was then immediately replaced on the scanning
table so that the locating light was superimposed on the previously drawn pen
line. A further CT scan was then taken at this position to test the precision
with which the cylinder was replaced. This procedure was repeated at a
different sampling depth.
Using
this method, CT scans were taken of all the cylinders at 20, 40, and 60 days
after earthworm inoculation. The control, A. caliginosa, and O. cyaneum
cylinders were scanned in horizontal planes at depths of 5, 10, 15, 20, 30, and
40 cm from the soil surface, while the L. rubellus treatment cylinders were
scanned at 5, 10, 15, and 20 cm depths. Scans below 5 cm depth were
automatically positioned using the scanner's electronic controls.
The
cylinders were scanned on a Technicare Deltascan 2020-G machine (operating at
settings of 120 kV, 75 mA and duration of 4 s) at Lincoln
University, Canterbury. Explanations of the principles
and underlying theory of CT scanning have been given by others (e.g. Hainsworth
and Aylmore 1983; Heijs et al. 1995). The cylinders were scanned in a
25-cm-diameter field to provide a 2-D image with a slice thickness of 2 mm.
Each image corresponded to a 512 by 512 pixel matrix, where the pixel size was
0.49 x 0.49 [mm.sup.2]. Each pixel was characterised by an X-ray attenuation
value that was converted to a Hounsfield Unit (HU). X-ray attenuation is
influenced by both soil bulk density and moisture content. In this study, CT
scans were always taken at the same soil moisture content. Consequently, the
relationship between bulk density and Hounsfield Unit was linear, with a scale
defined by -1000 for air and zero for water (Crestana et al. 1985). Using the
part of the Hounsfield scale defined by a window width setting of 2048 and a
window centre setting of 0, images were converted into a greylevel scale (from
0 = black to 255 = white). In the resulting greyscale images, black
corresponded to soil pores and grey areas corresponded to soil solids.
Greylevel
histograms of the images showed 2 well-separated peaks that corresponded to
soil pores (mean greylevel approx. 20) and the soil matrix (mean greylevel
approx. 200). These greyscale images were analysed using a standard image
analysis system (videoPro 32, Leading Edge Pty, Australia),
in which images were binarised into either soil pores or soil matrix based on a
greylevel threshold value (Capowiez et al. 1998). Pixels with greylevel values
that were less than half the mean greylevel of the soil matrix (i.e. <100)
were designated as pores; the remaining pixels were designated as soil matrix
(Anderson et al. 1990). Due to the averaging effect within pixel boundaries,
the minimum object size that could be detected was about twice the pixel
dimension (i.e. about 1 mm diam. in this case) (Warner et al. 1989; Capowiez et
al. 1998). At each scanned depth, number, total area, and mean area of the pores
were determined. The mean pore diameter was calculated as the equivalent
spherical diameter of the mean pore area. The total pore area was also
expressed on a per earthworm and a per biomass basis, using the number and
biomass of inoculated earthworms.
Images
obtained at the first and second scan times were compared by electronically
overlaying images (following image rotation if required to align images) to
calculate the area of pores that was common for successive scans and to assess
the extent of burrow backfilling of the different species. These comparisons
were only made for the topsoil due to the very low burrowing activity in the
subsoil of all the test species. Similar comparisons were made between the
second and third scan times.
Hydraulic
conductivity measurements and earthworm recovery
After the
last scan (60 days after earthworm inoculation) the cylinders were separated
into their topsoil and subsoil sections. The lower face of each topsoil section
and both faces of each subsoil section were `picked' with a sharp needle and
loose soil was removed using a vacuum cleaner to unblock any macropores that
may have been smeared during the separation of the cylinders (Cameron et al.
1990). Disc permeameters (Perroux and White 1988) were used to measure the
unsaturated (water supply potential of-25 mm) and saturated (supply potential
of +25 mm) hydraulic conductivities of the separated topsoil and subsoil
sections (Francis and Fraser 1998). Following the hydraulic conductivity
measurements, the species, number, fresh weight, and age classification of the
earthworms in the soil cylinders were determined by hand sorting.
Statistical
analyses
The
porosity data have a complex structure as (i) there was an unequal number of
replicates for the main treatment (species, control), (ii) not all depths were
measured for all treatments, and (iii) depths and scans both constituted
repeated measures. Thus, REML methods of analysis (Patterson and Thompson 1971)
were used to allow for less biased testing of the unbalanced treatment sets.
Mean pore area and number of pores were square-root transformed before analysis
to make the variance more homogeneous across treatments. For each of the
porosity variables, various random and correlation structures were tested (Welham
and Cullis 1999), and the best structure was chosen. In this process, the parts
of the experimental structure (e.g. cylinders) that contributed significantly
to the random variability of the data were assessed. The existence of any
correlations from depth to depth (and scan to scan), and whether these
correlations followed particular patterns between depths that became
successively further apart, were examined. Wald statistics (GENSTAT 1997) were
then used to assess which of the treatment, depth, scan, and their interactions
were significantly (P < 0.05) affecting the data. For this analysis, the
calculation of the exact l.s.d, is time consuming and only slightly more
accurate than the approximate l.s.d. that is based on a t-value of 2.
Consequently, approximate l.s.d. bars are presented in the figures. In general,
there was either no correlation, or a uniform correlation, between depths (or
scans). Thus, it was appropriate to treat depth as a standard split-plot
treatment.
Data for
comparisons between scans are balanced as depths below 20 cm were excluded.
This is because no species did a significant amount of burrowing below 20 cm.
Examination of data showed that the nesting of scan dates could be ignored,
allowing examination using a simple factorial ANOVA. Earthworm numbers and
weights, porosity per earthworm, and porosity per biomass (both summed over all
sample depths) and hydraulic conductivity data were examined with ANOVA.
Results
Earthworm
recovery
The
experimental conditions resulted in good survival rates of all earthworm
species (Table 1). Although the biomass of introduced mature earthworms in each
cylinder was similar for all species, the recovered earthworm biomass was
significantly less for L. rubellus than for A. caliginosa or O. cyaneum (Table
1). In addition, the weights of the individual earthworms increased for the A.
caliginosa and O. cyaneum species, but declined for the L. rubellus species. In
all the cylinders, the recovered mature earthworms were the same species that
had been inoculated. All the cylinders (including the control) were
contaminated with very low and similar numbers of immature species of A.
caliginosa (data not shown). Averaged across all cylinders, the biomass of
theseimmature A. caliginosa species (0.9 g/cylinder or 0.15 g/earthworm) was
much less than for the mature inoculated species.
CT method
testing
Greylevel
images and porosity results for the repeated scanning of the test cylinder
(Fig. 1, Table 2) showed that cylinders could be relocated between successive
scans with good precision. When repeat images were electronically overlaid and
subtracted (i.e. Scan 2 - Scan 1), the difference between images was very
small, representing only about 2% of the total porosity in the image.
[FIGURE 1
OMITTED]
Soil
porosity
For the
control, soil porosity (expressed as a percentage of the scanned horizontal
area in soil cylinders) remained very low and approximately constant with both
time and depth (Fig. 2). For all the inoculated species, soil porosity increased
with time. At all scan times, the porosity created in the topsoil by both A.
caliginosa and L. rubellus declined significantly with depth, with the rate of
decline faster for L. rubellus. In contrast, the porosity created by O. cyaneum
was relatively uniform with depth in the topsoil. No species created a
significant amount of porosity at 30 or 40 cm depth at any scan time. Except
for the first scan time, the porosity at 5 cm depth was similar for A.
caliginosa and L. rubellus. At all scan times, A. caliginosa produced more
porosity than L. rubellus at 10-20 cm depth. A. caliginosa and L. rubellus
produced more porosity than O. cyaneum in the top 10 cm at all scan times. O.
cyaneum produced more porosity than the other 2 species at 20 cm depth at the second
and third scan times.
[FIGURE 2
OMITTED]
For the
inoculated species, similar results were obtained for soil porosity and the
number of pores [presented as [square root of (number of pores)] in Fig. 3]. In
the control, the number of pores did not show any clear trend with depth, but
there was a trend toward an increase in pore numbers with time. At all scan
times, A. caliginosa produced a greater number of pores than L. rubellus or O.
cyaneum to 15 and 20 cm, respectively.
[FIGURE 3
OMITTED]
The mean
pore area results, presented as [square root of (mean pore area)], are averaged
over all 3 scan times (Fig. 4), as the mean pore area at each scan was similar
for all depths and treatments. Mean pore area in the control did not vary
significantly with depth. Mean pore area declined rapidly and significantly
with depth for L. rubellus. In contrast, mean pore area was relatively constant
throughout the top 20 cm for both A. caliginosa and O. cyaneum, with
significantly larger pores for O. cyaneum. At 5 cm depth, mean pore area was
similar for O. cyaneum and L. rubellus, both of which were greater than A.
caliginosa. Mean pore area for O. cyaneum remained greatest to 20 cm depth. At
30 and 40 cm depth, mean pore areas for A. caliginosa and O. cyaneum were not
significantly different from that for the control.
[FIGURE 4
OMITTED]
The mean
amount of porosity per inoculated earthworm and per inoculated biomass (summed
over all measured depths) was calculated for each species (Fig. 5). A.
caliginosa and L. rubellus created the least porosity per earthworm and O.
cyaneum created the most porosity per earthworm. A. caliginosa and O. cyaneum
created a similar amount of porosity per biomass at all scan times, with
significantly less created by L. rubellus.
The extent
of backfilling of earthworm burrows in the topsoil did not significantly vary
with depth for any species (data not shown). The area of backfilled pores
averaged over all measured depths in the topsoil is presented as a percentage
of the pore area present at the initial scans (Fig. 6). The extent of pore
backfilling was high (>50%) for all species, with a trend towards more
backfilling for A. caliginosa than for the other species. The only significant
difference was between A. caliginosa and L. rubellus between the first and
second scans.
Hydraulic
conductivity
Unsaturated
hydraulic conductivity (supply potential -25 mm) was unaffected by earthworm
species in either the topsoil or the subsoil (Table 3). In the topsoil,
saturated hydraulic conductivity was affected by earthworm inoculation, with
significantly greater values for L. rubellus than for the other species.
Saturated hydraulic conductivity was unaffected by earthworm species in the
subsoil. Saturated hydraulic conductivity was significantly greater in the
topsoil than in the subsoil for both L. rubellus and A. caliginosa.
Discussion
The
conditions used in this experiment were conducive to the survival of most of
the inoculated earthworms. All 3 species were active in all the periods between
scans, although the activity of L. rubellus decreased by the final scan. This
is supported by the low recovery of L. rubellus biomass at the end of the
experiment. As environmental conditions remained unchanged during the
experiment, it is likely that the reduced activity of L. rubellus with time was
due to a decline in the availability of fresh organic material, which it
consumes in preference to mineral soil (Piearce 1972). In contrast with the
other species, L. rubellus did not burrow to any significant extent to access
the organic material that was present in the soil below 10 cm. Different
results for L. rubellus could possibly have been obtained if different
experimental conditions (e.g. a greater amount of fresh organic material mixed
with the soil) had been used.
In
contrast to our previous study (Francis and Fraser 1998), contamination of the
cylinders with pre-existing earthworms was very low. This was partly due to the
low earthworm population in this intensively cropped soil and partly due to
efficient removal of earthworms and their eggs during sieving. As a result, the
control cylinder had very few pores created by earthworm burrowing. The pores
that were present in the control cylinder were small and probably a combination
of packing pores and pores created by root growth. The porosity in the other
cylinders was therefore mainly the result of the burrowing activity of the
mature, inoculated earthworms.
Results
from the test cylinder showed that the method used to relocate cylinders at successive
scan times and the electronic subtraction of overlaid images produced only
small errors (1-2%). These errors were much smaller than the differences
between scan times or between earthworm species.
In
previous CT studies of earthworms, burrows were often observed to have been
made preferentially along the cylinder walls (Joschko et al. 1991, 1993).
However, burrowing along the cylinder walls was limited in our experiment (Fig.
7), partly because of the large diameter of our cylinders and partly because of
the fine sand adhering to the cylinder walls.
Burrow
sizes and burrowing behaviour clearly differed between the earthworm species.
At their depth of maximum activity, mean pore diameters were about 4.5-5.5 mm
for O. cyaneum and L. rubellus and about 4.0 mm for A. caliginosa. Similar
differences in the mean pore diameter created by these earthworm species have
been reported by other workers (Springett 1983; Joschko et al. 1991; Francis
and Fraser 1998), and are to be expected from the mean weights of the
inoculated earthworms (Table 1). The depth of maximum pore production for L.
rubellus was 5 cm, with very little activity below 10 cm (Fig. 2). A.
caliginosa created most of its burrows in the top 10 cm, with little activity
below 15 cm. In contrast, O. cyaneum created its burrows relatively uniformly
throughout the top 20 cm. Very few pores were created below 20 cm in this
experiment by any of the species, probably due to the favourable temperature
and moisture conditions that were maintained in the topsoil. The lower bulk
density and greater food source in the topsoil compared with the subsoil could
also have contributed to the lack of burrowing in the subsoil. This contrasts
with other studies where burrows of both A. caliginosa and O. cyaneum have been
reported to 45 cm depth, presumably to avoid unfavourable conditions closer to
the soil surface (Pitkanen and Nuutinen 1997; Francis and Fraser 1998).
The pores
produced by the earthworms in this experiment occupied 2-12% of the total soil
area in the topsoil (Fig. 2). Similar porosities and numbers of pores due to
earthworm burrowing have been reported for other studies both of undisturbed
field soils (Munyankusi et al. 1994; Pitkanen and Nuutinen 1997) and 3-6 months
after the inoculation of repacked soil cores with comparable earthworm
populations (Springett 1983; Munyankusi et al. 1994; Francis and Fraser 1998;
Langmaack et al. 1999).
Porosity
created by earthworms was greater in the cylinders inoculated with A.
caliginosa than in those inoculated with either L. rubellus or O. cyaneum. This
was due to the greater rate of inoculation for A. caliginosa earthworms than
the other species. However, the mean amount of porosity created by individual
earthworms declined in the order O. cyaneum > L. rubellus = A. caliginosa
(Fig. 5a), mainly in relation to earthworm size. Expressing porosity per
inoculated biomass removes the effect of different rates of earthworm
inoculation and the different size of individual earthworms. L. rubellus had
the lowest porosity per inoculated biomass, suggesting that it had a lower
burrowing activity than either A. caliginosa or O. cyaneum. The relative
activity of L. rubellus may be even lower than it initially appears since the
extent of burrow backfilling was least for L. rubellus. The lower rate of
activity of L. rubellus could be a result of the apparently unfavourable
experimental conditions that also led to its reduced survival rate compared
with A. caliginosa or O. cyaneum.
[FIGURE 5
OMITTED]
Representative
images from O. cyaneum at 10 cm depth at the first (Fig. 7a) and second scan
times (Fig. 7b) illustrate the backfilling of earthworm burrows. Between the
scan times some pores were backfilled and some new pores were created. Other
workers have also observed backfilling of both A. caliginosa and O. cyaneum
burrows (Joschko et al. 1991, 1993), resulting in a low level of burrow
continuity (Munyankusi et al. 1994; Langmaack et al. 1999). The extent of
burrow backfilling by A. caliginosa in our experiment (72-85%) was similar to
that reported using a direct observation technique over 68 days (Hirth et al.
1996). As well as a change in porosity, some areas of the soil matrix became
whiter in colour, indicating an increase in X-ray attenuation. This change in
the colour of the soil matrix appears to be due to earthworm burrowing, as the
colour for the control between these scan times remained unchanged (Fig. 7c,
d). X-ray attenuation probably increased because the water content of the
freshly deposited earthworm casts in backfilled burrows was higher that the
water content of the surrounding soil matrix (Marinissen and Dexter 1990).
[FIGIRE 7
OMITTED]
We
measured hydraulic conductivity in this experiment to assess the continuity of
earthworm burrows. During the measurement of unsaturated hydraulic
conductivity, pores greater than 1.2 mm equivalent spherical diameter were
excluded from participating in water flow. As the mean diameter of pores for
all species was >1.2 mm, unsaturated hydraulic conductivity was not increased
in either the topsoil or the subsoil by earthworm inoculation. However, under
saturated conditions, when all pores could potentially participate in water
flow, hydraulic conductivity in the topsoil was significantly affected by
earthworm inoculation. Earthworms did not affect saturated hydraulic
conductivity in the subsoil, which was to be expected from the low level of
earthworm burrowing at this depth (Fig. 2). In the topsoil, saturated hydraulic
conductivity was not clearly related to soil porosity. Saturated hydraulic
conductivity in the topsoil was greatest for L. rubellus, but soil porosity in
the topsoil was greatest for A. caliginosa. These results suggest that the
pores created by L. rubellus were surface-connected and more continuous than those
created by A. caliginosa. The relatively low saturated hydraulic conductivity
for O. cyaneum in the topsoil was probably due to the limited number of its
burrows that were likely to be open at the soil surface (Francis and Fraser
1998).
This
study has clearly shown the contrasting burrowing characteristics of L.
rubellus, A. caliginosa, and O. cyaneum. The results we obtained in sieved soil
are likely to be similar to results that would have been obtained in the
topsoil of cultivated paddocks, as the soil bulk density and aggregate size are
similar in both cases. In contrast, burrowing may be easier in sieved than
undisturbed subsoil, but this is unlikely to have significantly affected our
results as the extent of burrowing in the subsoil was small in all cases. The
species varied in the size and number of pores produced, the depth of
burrowing, and the extent of burrow backfilling. L. rubellus seems to make a
particularly important contribution to improving soil physical conditions as
its burrows appear to be connected to the soil surface and are the most
permanent, but limited to the top 10 cm, for the 3 species studied. In New Zealand, L.
rubellus are present in greatest numbers under pasture (Fraser et al. 1996) and
this may partly explain the improvement in soil physical conditions that are
observed when soils are converted from arable to pastoral production (Francis
et al. 1999). Nevertheless, low numbers of L. rubellus can be found in soils
that have been cropped for less than 3 years (Fraser et al. 1996). It is
possible that changing the management practices for cropped soils to increase
fresh soil organic matter inputs to the surface soil (e.g. direct drilling,
retaining postharvest crop residues, growing green manure crops) may help to
sustain a population of L. rubellus under cropping for longer. This needs
further investigation.
Table 1.
The mean number and fresh weight biomass of mature earthworms inoculated in the
soil cylinders at the beginning of the experiment and mature earthworms
recovered at the end of the experiment.
Inoculated earthworms
Species
No./ Biomass/
Biomass/
cylinder cylinder worm
(B)
(AB) (g)
(g)
L.
rubellus
18 15 (-2.7) 0.8
(-0.19)
A.
caliginosa 36
13 (-2.59) 0.4 (-1.00)
O.
cyaneum
9 12 (-2.45) 1.3 (-0.25)
l.s.d. (P
=
0.05;
(-0.06) (-0.06)
d.f.
= 6)
Recovered earthworms
Species
No./ Recovery
Biomass/
Biomass/
cylin-
(%)
cylinder
worm
der
(AB)
(g) (B) (g)
L.
rubellus
13.7 75.9 6.9
(-1.93) 0.51 (-0.0679)
A.
caliginosa
34.7 96.3 16.7
(-2.81) 0.48 (-0.734)
O.
cyaneum
7.3 81.5 14.3
(-2.66) 1.97 (-0.679)
l.s.d. (P
= 0.05; 3.8
24.6
(-0.493)
(-0.2886)
d.f.
= 6)
(A) After
gut voidance in water for 24 h.
(B)
Inoculated and recovered weights of earthworms were natural log
transformed
before analysis. Back-transformed means are given, with log means and
l.s.d. values in brackets.
Table 2.
Soil porosity (%) for repeated CT scans of the test
cylinder and following electronic overlaying of
images
5 cm depth 10 cm depth
Scan
1
5.74 6.54
Scan
2
5.73
6.61
Scan 2 -
Scan 1
0.11 0.14
Table 3.
Hydraulic conductivities (mm/h) in the topsoil and subsoil
sections
of the cylinders, measured at the end of the experiment
Species
Unsaturated
Saturated
Topsoil Subsoil Topsoil
Subsoil
L.
rubellus
82 78
594 53
A.
caliginosa 59
71
345 51
O.
cyaneum 72
75
178 96
Control
64 102
107
67
l.s.d.
(P
= 0.05) 46.0
(A)
198.5
(A)
65.0
(B)
280.8
(B)
33.2
(C)
208.9
(C)
(A) For
comparisons between 2 species, within topsoil or subsoil
(d.f.
[approximately equal to] 10).
(B) For
comparisons between control and any species, within topsoil or subsoil
(d.f. [approximately equal to] 10).
(C) For
comparisons between topsoil and subsoil for the same species
(d.f. =
5).
Acknowledgments
We thank
Kathryn White for expert help in the running of this experiment, Dr Mark Young
and Nigel Jay (Lincoln
University) for
assistance with CT scanning, and Dr Graeme Coles for assistance with image
analysis. This work was carried out as part of the Foundation for Research,
Science and Technology contract number C02613.
References
Anderson
SH, Peyton RL, Gantzer CJ (1990) Evaluation of contructed and natural soil
macropores using X-ray computed tomography. Geoderma 46, 13-29.
Cameron
KC, Harrison DF, Smith NP, McLay CDA (1990) A method to prevent edge-flow in
undisturbed soil cores and lysimeters. Australian Journal of Soil Research 28,
879-886.
Capowiez
Y, Pierret A, Daniel O, Monestiez P, Kretzschmar A (1998) 3D skeleton
reconstructions of natural earthworm burrow systems using CAT scan images of
soil cores. Biology and Fertility of Soils 27, 51-59.
Crestana
S, Mascarenhas S, Pozzi-Mucelli RS (1985) Static and dynamic three-dimensional
studies of water in soil using computed tomographic scanning. Soil Science 140,
326-332.
El-Duweini AK, Ghabbour SI (1968) Nephridial systems and
water balance of three Oligochaeta genera. Oikos 19, 61-70.
Francis
GS, Fraser PM (1998) The effects of three earthworm species on soil
macroporosity and hydraulic conductivity. Applied Soil Ecology 10, 11-19.
Francis
GS, Tabley FJ, White KM (1999) Restorative crops for the amelioration of
degraded soil conditions in New
Zealand. Australian Journal of Soil Research
37, 1017-1034.
Fraser
PM, Williams PH, Haynes RJ (1996) Earthworm species, population size and
biomass under different cropping systems across the Canterbury Plains, New
Zealand. Applied Soil Ecology 3, 49-57.
GENSTAT
(1997) `GENSTAT 5 Release 4.1 Reference Manual Supplement.' (NAG: Oxford)
Hainsworth
JM, Aylmore LAG (1983) The use of computer-assisted tomography to determine
spatial distribution of soil water content. Australian Journal of Soil Research
21, 435-443.
Heijs
AWJ, de Lange J, Schoute JFT, Bouma J (1995) Computed tomography as a tool for
non-destructive analysis of flow patterns in macroporous clay soils. Geoderma
64, 183-196.
Hewitt AE
(1993) `New Zealand
soil classification.' (Manaaki-Whenua Press: Lincoln, NZ)
Hirth JR,
McKenzie BM, Tisdall JM (1996) Volume density of earthworm burrows in compacted
cores of soil as estimated by directed and indirect methods. Biology and
Fertility of Soils 21, 171-176.
Jegou D,
Hallaire V, Cluzeau D, Trohen P (1999) Characterization of the burrow system of
the earthworms Lurnbricus terrestris and Aporrectodea giardi using X-ray
computed tomography and image analysis. Biology and Fertility of Soils 29,
314-318.
Joschko
M, Graff O, Muller PC, Kotzke K, Lindner P, Pretschner DP, Larink O (1991) A
non-destructive method for the morphological assessment of earthworm burrow
systems in three dimensions by X-ray computed tomography. Biology and Fertility
of Soils 11, 88-92.
Joschko
M, Muller PC, Kotzke K, Dohring W, Larink O (1993) Earthworm burrow system
development assessed by means of X-ray computed tomography. Geoderma 56,
209-221.
Langmaack
M, Schrader S, Rapp-Bernhardt U, Kotzke K (1999) Quantitative analysis of
earthworm burrow systems with respect to biological soil-structure regeneration
after soil compaction. Biology and Fertility of Soils 28, 219-229.
Lee KE
(1985) `Earthworms: Their ecology and relationships with soils and land use.'
(Academic Press: Sydney)
Marinissen
JCY, Dexter AR (1990) Mechanisms of stabilization of earthworm casts and
artificial casts. Biology and Fertility of Soils 9, 163-167.
Munyankusi
E, Gupta SC, Moncrief JF, Berry
EC (1994) Earthworm macropores and preferential transport in a long-term manure
applied Typic Hapludalf. Journal of Environmental Quality 23, 773-784.
Patterson
HD, Thompson R (1971) Recovery of inter-block information when block sizes are
unequal. Biometrika 58, 545-554.
Perroux
KM, White I (1988) Designs for disc permeameters. Soil Science Society of America Journal
52, 1205-1215.
Piearce
TG (1972) The calcium relations of selected Lumbricidae. Journal of Animal
Ecology 41, 167-188.
Pitkanen
J, Nuutinen V (1997) Distribution and abundance of burrows formed by Lumbricus
terrestris L. and Aporrectodea caliginosa Sav in the soil profile. Soil Biology
and Biochemistry 29, 463-467.
Springett
J, Gray R (1997) The interaction between plant roots and earthworm burrows in
pasture. Soil Biology and Biochemistry 29, 621-625.
Springett
JA (1983) Effect of five species of earthworm on some soil properties, dournal
of Applied Ecology 20, 865-872.
Springett
JA (1992) Distribution of lumbricid earthworms in New Zealand. Soil Biology and
Biochemistry 24, 1377-1381.
Springett
JA, Gray RAJ (1998) Burrowing behaviour of the New Zealand indigenous earthworm
Octochaetus multiporus (Megascolecidae: Oligochaeta). New Zealand
Journal of Ecology 22, 95-97.
Warner
GS, Nieber JL, Moore ID, Geise RA (1989) Characterizing
macropores in soil by computed tomography. Soil Science Society of America Journal
53, 653-660.
Watt JPC,
Burgham SJ (1992) Physical properties of eight soils of the Lincoln
area, Canterbury.
DSIR Land Resources Technical Record.
Welham S,
Cullis B (1999) Analysis of correlated data using REML. In `Proceedings of
Australian GENSTAT Conference, GENSTAT 99'. Melbourne, 1999.
Manuscript
received 5 June 2000, accepted 12 April 2001
G. S.
Francis, F. J. Tabley, R. C. Butler, and P. M. Fraser
New
Zealand Institute for Crop and Food Research Limited, Private Bag 4704, Christchurch, New Zealand.
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