Soil Macroinvertebrate Communities across a Productivity
Gradient in Deciduous Forests of Eastern North America
Evelyn S. Wenk, Mac A. Callaham Jr., Joseph J. O’Brien, and Paul J. Hanson
Northeastern Naturalist, Volume 23, Issue 1 (2016): 25–44
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Northeastern Naturalist Vol. 23, No. 1
E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016
25
2016 NORTHEASTERN NATURALIST 23(1):25–44
Soil Macroinvertebrate Communities across a Productivity
Gradient in Deciduous Forests of Eastern North America
Evelyn S. Wenk1, Mac A. Callaham Jr.1,*, Joseph J. O’Brien1, and Paul J. Hanson2
Abstract - Within the temperate, deciduous forests of the eastern US, diverse soil-fauna communities
are structured by a combination of environmental gradients and interactions with
other biota. The introduction of non-native soil taxa has altered communities and soil
processes, and adds another degree of variability to these systems. We sampled soil macroinvertebrate
abundance from forested sites in Missouri (MO), Michigan (MI), Massachusetts
(MA), and New Hampshire (NH), with the objective of comparing community assemblages
and evaluating the role of invasive earthworms along the temperature–productivity gradient
represented by the sites. The primary detritivores encountered were earthworms and millipedes.
Earthworms were collected only in MO and MI, and at much greater density in MO.
Millipedes were found at every site except in MO, and at their highest mean density in NH.
Warmer temperatures, higher litter productivity, and low Oa horizon depth (as found in MO)
were correlated with high earthworm activity. Oa horizon depth was the greatest in NH, where
the macroinvertebrate community was dominated (in terms of abundance) by predators and
herbivores, not detritivores. Our results are suggestive of, and congruent with, the concept of
earthworms as ecosystem engineers, as we found that the presence of non-native earthworm
species was associated with significant differences in soil characteristics such as apparent
rapid decomposition rates and reduced carbon storage in the Oa horizon.
Introduction
Macroinvertebrates make up an important part of the soil fauna in many forested
ecosystems and are known to have significant influences on process-level phenomena
such as decomposition and nutrient cycling where they are abundant (Coleman et
al. 2004, Frelich et al. 2006). These organisms follow general patterns of community
composition influenced by temperature and moisture gradients on large geographic
scales (Coleman et al. 2004, Fierer et al. 2009, Peterson and Luxton 1982). At the
continental scale in North America, latitudinal peaks in species richness can vary
between Nearctic and Palearctic species for key taxa, and the introduction of nonnative
species has fundamentally changed soil faunal distributions (e.g., earthworms;
Lilleskov et al. 2008). At a more local scale (e.g., meters to 10s of kilometers), landuse
history and management practices can also affect soil macroinvertebrate communities
(e.g., Callaham et al. 2003, 2006a). In fact, soil macroinvertebrate community
structure is considered useful in terms of indicating disturbance and/or soil quality
(Keith et al. 2012, Ponge et al. 2013, Ruiz et al. 2011). When considering previous
1Center for Forest Disturbance Science, USDA Forest Service, Southern Research Station,
320 Green Street, Athens, GA 30602. 2Environmental Sciences Division, Oak Ridge National
Laboratory, PO Box 2008, Oak Ridge, TN 37831. *Corresponding author - mcallaham@
fs.fed.us.
Manuscript Editor: David Orwig
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016 Vol. 23, No. 1
investigations at both continental and local scales, it is notable that most of these are
complicated by having evaluated soil macroinvertebrate communities across major
differences in the vegetation or level of soil disturbance represented in samples (but
see Kalisz and Powell [2000] for an important exception). Conspicuously absent, at
least for North America, are studies examining the macroinvertebrate composition of
soils under similar vegetation types (e.g., deciduous forest) across large geographic
areas (e.g., 100s to 1000s of kilometers).
Earthworms (Oligochaeta) were extirpated from northern ecosystems following
Pleistocene glaciations, and have been slow to recolonize glaciated soils due to their
limited dispersal rates (Gates 1982, Hendrix et al. 2008, James 1995). In general,
the result has been arthropod dominance of decomposer food webs throughout most
northern hardwood forests in North America (Cárcamo et al. 2000, Suzuki et al.
2013). The introduction of non-native earthworms into these northern forests has
occurred since European settlement of North America, and dispersal is now primarily
driven by human activity in previously glaciated soils (Callaham et al. 2006b,
Cameron et al. 2007, Costello et al. 2010). These non-native earthworms have been
observed to cause dramatic reductions in litter and humus layers, and translocate C
from surface litter into the A horizon (Bohlen et al. 2004, Eisenhauer et al. 2007,
Frelich et al. 2006). Habitat modification by earthworms can also have significant
effects on the rest of the soil invertebrate community (Cameron et al. 2013, McLean
and Parkinson 2000, Migge-Kleian et al. 2006, Salamon et al. 2006) and vegetation
(Frelich et al. 2006).
Saprophagous macroarthropods, such as millipedes (Diplopoda), are the primary
macroinvertebrate detritivores in ecosystems without native earthworms (Cárcamo
et al. 2000, Suzuki et al. 2013), and the effects of millipedes on nutrient cycling differ
from those of earthworms. Soil respiration rates can be lower where millipedes
are present, as compared to earthworms (Snyder et al. 2009), and some evidence
suggests that the C:N of feces is lower for millipedes than for earthworms (Hedde
et al. 2007). Earthworms and millipedes can also compete for food resources, particularly
in situations where the earthworm species is invasive (Snyder et al. 2011).
Soil nutrient and energy cycling are known to be sensitive to composition and
structure of the soil faunal community, and identifying the factors that affect distributions
and abundances of soil fauna is necessary to understand how and why carbon
cycling varies across a landscape. As part of a larger study examining soil organic
matter dynamics at sites spanning a latitudinal and precipitation gradient in the eastern
US, we sampled soil macroinvertebrates to evaluate potential relationships
between these communities and the soil organic matter. To the best of our knowledge,
only 1 other study (King et al. 2013) documented soil macroinvertebrate communities
across a wide range of eastern North American forests. However, their sampling
methods focused on social insects, whereas we focus first on describing the detritivore
community, followed by the abundance of other macroinvertebrates, and place
less emphasis on social insects. The primary objective for our study was to describe
the soil macroinvertebrate communities within each site and to relate them to carbon
cycling and environmental gradients using traditional community-ecology metrics.
Northeastern Naturalist Vol. 23, No. 1
E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
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A secondary objective for the study was to compare soil macroinvertebrate communities
across sites, and to evaluate similarities and differences where observed.
Our ultimate intent for this study was to contribute to the knowledge of relationships
between native and introduced macroinvertebrates, and their potential effects on
organic-matter cycling in eastern deciduous forests.
Materials and Methods
Study sites
We sampled soil macroinvertebrates in 4 broadleaf deciduous forests across the
eastern US. The study sites spanned the range of forests found in this region, from
cool, wet forests in the northeast, to a drier, cool forest in the upper Midwest, and
a warmer and drier forest to the south (Fig. 1, Table 1). All study sites were located
at AmeriFlux sites in the footprint of eddy-flux towers. The northern-most site
was located at the University of Michigan Biological Station in northern Michigan
(MI). Two sites were located in the northeastern US, one at Bartlett Experimental
Forest in northern New Hampshire (NH), and one at Harvard Forest in central Massachusetts
(MA). The southern-most site was located at Baskett Wildlife Research
and Education Center in the Missouri Ozarks (MO). In June 2010, we sampled sites
in the order MO, MI, NH, MA, beginning 2 June and finishing 9 June. In September
2010 we sampled sites in reverse order (MA, NH, MI, MO) beginning 10 September
and finishing 19 September.
Soils in MI were well-drained, coarse-textured Rubicon or Blue Lake series
Haplorthods, derived from deep lake-plain sand deposits. Soils in NH were welldrained,
coarse loam-textured Berkshire series Haplorthods derived from granite
and gneiss. MA soils were sandy loam-textured Gloucester series Dystudepts
formed in glacial till. Soils from MO were of 2 types: silt loam-textured Weller series
Hapludalfs derived from loess deposits, and clay loam-textured Clinkenbeard
Figure 1. Map of sampling
locations in the
eastern US. Sites were
located at the Baskett
Wildlife Research and
Education Center, MO,
University of Michigan
Biological Station, MI,
Bartlett Experimental
Forest, NH, and Harvard
Forest, MA.
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016 Vol. 23, No. 1
series Argiudolls derived from limestone colluvium and residuum (details given in
McFarlane et al. 2012).
Macroinvertebrate surveys
Prior to our soil macroinvertebrate surveys, 5 semi-permanent marked plots
were established at each site for a separate, but closely related study (McFarlane
et al. 2012). In the vicinity (within 5 m) of each of these plots, we selected 2 undisturbed
locations in which to dig soil pits for invertebrate collection at each of 2
sampling times (June and September 2010), generating 4 soil pits per plot over the
course of our study. With 5 plots per site, and 4 sites, we sampled a total of 80 soil
pits. At each soil pit, we collected macroinvertebrates from a litter sample and a
soil sample. First, we removed all leaf litter (including Oi and Oe material) from
a 50 cm × 50 cm area, and then excavated soil (including the Oa horizon) from a 30
cm × 30 cm × 30 cm soil pit centered within the litter sample area. We placed litter
and soil samples on separate plastic sheets and then hand-sorted each in the field
for 1 person-hour. This time-limited approach to hand-sorting has been shown to
be efficient, both in terms of numbers and biomass, for collection of soil macroinvertebrates
(Schmidt 2001). During sorting, we broke fine roots and woody debris
less than 2.5 cm diameter, soil clods, and aggregates into pieces smaller than 0.5 cm
in diameter. All visible invertebrates larger than 0.5 cm in any one dimension were
collected and preserved in 70% ethanol solution for transport to the USDA-FS Forestry
Sciences Laboratory in Athens, GA. We documented the depths of soil genetic
horizons for each pit before returning the soil to the pit where it originated, taking
care to maintain the original horizonation as much as possible. We then returned the
leaf litter to its original location. In June 2010, we marked each pit’s location so as
not to resample in the identical location in September.
Specimens were identified by the second author to the finest taxonomic resolution
practical using keys of Schwert (1990) and Peterson (1967). He identified adult
and pigmented juvenile earthworms to species, abundant insect orders to family,
and other insects and arthropods to order or suborder. Because area based sampling
Table 1. Site characteristics at forest sites in Missouri (MO), Michigan (MI), Massachusetts (MA),
and New Hampshire (NH). See text for data sources.
MO MI MA NH
Latitude 38.7441 45.5598 42.5377 44.0647
Longitude -92.2000 -84.7138 -72.1715 -71.2880
Mean annual air temp (°C) 13.0 6.8 8.2 7.3
Mean annual precipitation (mm) 1037 608 1141 1300
Mean soil water content (m3 m-3) 0.246 0.153 0.316 0.272
Mean Oa depth (mm) 0.5 37.5 56 69
Mean stand age (years) 82 84 86 104
Canopy species (% basal area) Quercus (41), Populus (38), Acer (38), Acer (28),
Acer (14), Acer (26), Quercus (21), Fagus (20),
Juniperus (14), Betula (10), Tsuga (13) Betula (17),
Carya (9) Pinus (9), Tsuga (17)
Quercus (8)
Litterfall (Mg C ha-1 year-1) 1.65 1.24 1.06 0.97
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(pit digging) is not ideal for sampling social insects such as ants and termites, we
tallied these taxa for presence or absence only. All specimens are stored at the
USDA-FS Forestry Sciences Laboratory in Athens, GA.
Site environmental data
We recorded litter and soil temperature at each plot using two temperature
thermistors (Soil Moisture Smart Sensor and Temperature Smart Sensor, and
HOBO data logger, Onset Computer Corporation, Bourne, MA) installed in the Ohorizon
and at 10 cm depth in the mineral soil. Soil moisture was recorded using
probes (EC-5 soil moisture sensors ECHO probes, Decagon Devices, Inc., Pullman,
WA) installed at a depth of 10 cm from the surface of the O-horizon. All temperature
and moisture data were logged hourly at each plot from 2008 to 2011. Due to
datalogger failure at some plots, we only used times with complete measurements
for all 20 plots (~276 days, spanning May 2008–July 2009) in our analysis of environmental
variables. Litterfall data were obtained from McFarlane et al. (2012).
We measured Oa depth in September 2010 at each soil pit (40 measurements).
Mean forest stand age (in 2010) ranged from ~80 to ~100 years (Table 1; Ameri-
Flux 2013). Overstory species varied between sites (Table 1). The MO and MA sites
were dominated by Quercus and Acer; the NH site was dominated by Fagus, Acer,
and Betula; and the MI site by Populus, Acer, and Betula (AmeriFlux 2013). All
forests contained a coniferous component, which ranged 9–17% basal area. Tree
basal-area measurements were taken between 4 and 9 years prior to our sampling
(AmeriFlux 2013).
Statistical methods
We summarized the invertebrate communities by calculating the mean abundance
of individuals in each taxon per m2 at each site. We also calculated the
frequency of occurrence for each taxon at each site (# of pits present/total # of
pits). We categorized taxa by functional group and calculated the proportion of the
macroinvertebrate community in each functional group for each site.
To determine whether there were patterns in the variability in invertebrate community
composition, we used nonmetric multidimensional scaling (NMS; McCune
and Grace 2002) using PC-Ord (PC-Ord 2006). We created a site-species matrix listing
the mean abundance of individuals per m2 at each plot (plots = 20), and taxa that
were found in at least 2 plots over the course of the study (taxa = 39). We modified
the data and used species maximum relativized data in the ordination procedure and
other community analyses. We used the Sorensen (Bray-Curtis) distance measure for
the ordination, with a maximum of 250 iterations, and a stability criterion of 0.00001.
Because axes in NMS are arbitrary, we used a varimax rotation prior to our vector
analysis (see below). Ordination is most useful for visualizing community relatedness
among sites, but Anderson (2001) suggests permutation-based non-parametric
MANOVA (NPMANOVA) as a method of applying statistical inference for site
comparisons. We used the PerMANOVA option in PC-ORD to conduct a one-way
analysis of differences in community composition with site as the independent variable
and the Sorensen (Bray-Curtis) distance measure as the dependent variable,
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016 Vol. 23, No. 1
using 4999 permutations. Pairwise comparisons t-tests (α = 0.05) were used to test
the null hypothesis of no difference in communities among sites.
In order to test for environmental drivers of any observed site differences, we applied
a vector analysis to community composition using environmental variables
derived from a factor analysis as independent variables and NMS site scores as the
dependent variables. We chose to use an initial factor analysis because many of
the environmental variables were collinear. By using the factor scores in our vector
analysis we were guaranteed that our independent variables would be orthogonal.
The 6 environmental measures used in the factor analysis were latitude, Oa horizon
depth, litterfall, soil temperature, litter temperature, and soil water content. Environmental
data collected at the soil-pit level was averaged by plot for this analysis. After
regressing the NMS plot scores, we plotted vectors within the ordination space
(a joint plot) where the direction of the vectors indicated the sign and magnitude of
the regression coefficients and the lengths were scaled by the variance explained.
We generated rank–abundance curves for the invertebrate communities at each
site to display relative species abundance. Abundance was calculated by summing
all individuals collected at each site over both sampling dates (20 pits per site). We
combined adults and larvae of the same taxon but kept soil and litter samples separate
for rank abundance curves because of differences in the areal extent sampled.
We used community and diversity indices to identify patterns in community assemblage
across our sites (as in Callaham et al. 2006a). We calculated Shannon’s
diversity index (H'), species richness, and evenness (J') for each pit. To calculate
H', we used the formula:
s
H' = Σpi * ln(pi)
i = 1
where s is the total number of taxa collected, and pi is the proportion of individuals
that are taxon i relative to all individuals of all taxa collected for each pit. We
calculated J' was calculated as:
J' = H' / ln(s)
Percent similarity (PS) was calculated to determine the amount of overlap between
each pair of sites using the formula:
s
PS = 1 - Σ
| pi - qi |
i = 1 2
where for all species i … s, pi is the mean proportion of individuals that are taxon i
in site p, and qi is the mean proportion of individuals that are taxon i in site q.
We conducted analyses of variance (ANOVA), using PROC MIXED in SAS
9.3 (SAS Institute Inc. 2010) to compare diversity, richness, and evenness among
sites, employing a separate model for each sampling time. We used a mixed model
ANOVA, with sampling date as a random effect, to compare the abundances of
specific taxa (e.g., earthworms, millipedes) among sites. For all ANOVAs, we used
least squares means to make individual comparisons between sites.
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Results
Invertebrate community distribution
We separated the sampled macroinvertebrate community into 55 unique taxa
based on taxonomic relationship and developmental stage (i.e., immature or adult).
The mean densities and proportion of pits in which all taxa occurred are displayed
in Tables 2 and 3. The primary detritivores encountered were earthworms (Oligochaeta)
and millipedes (Diplopoda). Earthworms were collected only from sites in
MO and MI, and at much higher abundances in MO (P < 0.01; Fig. 2a). Millipedes
Table 2. Mean abundance of soil macroinvertebrates, excluding Insecta, expressed as number of individuals
m-2 to a 30-cm depth, and proportion of total pits where each taxon was collected at each site
(n = 20; means calculated on 2 pits x 5 plots x 2 dates). The functional group (fg) follows the taxon
name (d = detritivore, h = herbivore, o = omnivore, ps = parasite, p = predator, s = scavenger, v =
various, and w = woodborer). Site abbreviations are as in Table 1.
Abundance Proportion of pits
(individuals m-2) with taxon present
Taxon fg MO MI MA NH MO MI MA NH
Orthoptera, Gryllidae d - 0.20 - - - 0.05 - -
Oligochaeta
Aporrectodea caliginosa d 82.11 2.22 - - 0.95 0.10 - -
Dendrobaena octaedra d - 0.76 - - - 0.10 - -
Lumbricus spp. d 51.98 5.53 - - 0.95 0.45 - -
Octolasion cyaneum d 3.89 - - - 0.05 - - -
Unpigmented juveniles d 110.10 0.20 - - 0.95 0.05 - -
Nematomorpha ps 1.67 - - - 0.10 - - -
Gastropoda h 3.92 3.20 1.16 0.80 0.50 0.60 0.20 0.20
Arachnida: Opiliones p - - 0.40 0.40 - - 0.10 0.10
Arachnida: Araneae p 14.16 7.22 28.36 15.33 0.95 0.55 0.90 0.85
Isopoda d 0.20 1.87 - - 0.05 0.15 - -
Diplopoda d - 2.71 3.87 15.42 - 0.20 0.45 0.70
Chilopoda: Geophilomorpha p 4.33 1.36 19.22 6.04 0.35 0.25 0.75 0.60
Chilopoda: Lithobiomorpha p 1.91 1.76 2.76 3.47 0.25 0.35 0.45 0.45
Figure 2. Mean (A) earthworm and (B) millipede abundances for soil and litter combined at
4 sites in the eastern US. Bars with different letters above are significantly different at α =
0.05; error bars represent the standard error of the mean. Note differences in y-axis scales.
Site abbreviations are as in Figure 1.
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
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Table 3. Mean abundance of soil insects, expressed as number of individuals m-2 to a 30-cm depth,
and proportion of total pits where each taxon was collected at each site. The functional group follows
the taxon name (abbreviations are as in Table 2). Site abbreviations are as in Table 1.
Abundance Proportion of pits
(individuals m-2) with taxon present
Taxon fg MO MI MA NH MO MI MA NH
Orthoptera, Gryllidae d - 0.20 - - - 0.05 - -
Orthoptera, other h 0.20 - - - 0.05 - - -
Blattodea o 3.51 - - - 0.40 - - -
Isoptera d N/A N/A N/A N/A 0.15 - - -
Dermaptera p 0.20 - - - 0.05 - - -
Hemiptera h 0.20 0.20 1.40 - 0.05 0.05 0.30 -
Homoptera, Cicadidae h 1.11 3.53 0.56 - 0.10 0.25 0.05 -
Homoptera, other h 0.20 2.11 2.47 0.20 0.05 0.30 0.35 0.05
Neuroptera p - - 0.20 - - - 0.05 -
Adult Coleoptera
Cantharidae p - 0.56 - - - 0.05 - -
Carabidae p 24.22 0.76 2.60 3.27 0.70 0.10 0.40 0.50
Cicindellidae p - - - 0.20 - - - 0.05
Coccinellidae p - 0.20 - - - 0.05 - -
Curculionidae h 0.60 0.20 1.00 - 0.15 0.05 0.15 -
Elateridae h 0.96 0.56 0.76 0.60 0.15 0.05 0.10 0.15
Scarabaeidae h 2.51 2.47 1.16 0.56 0.30 0.30 0.10 0.05
Silphidae s - 0.20 - - - 0.05 - -
Staphylinidae p 2.62 2.27 1.91 2.56 0.25 0.2 0.30 0.20
other adult v 1.11 3.11 - - 0.10 0.25 - -
Larval Coleoptera
Alleculidae d 6.51 0.56 2.22 0.56 0.20 0.05 0.20 0.05
Carabidae p 1.51 0.76 0.76 0.76 0.15 0.10 0.10 0.10
Cerambycidae w - - - 0.20 - - - 0.05
Curculionidae h 43.89 0.76 46.56 0.56 0.55 0.10 0.35 0.05
Dermestidae s - 0.20 - - - 0.05 - -
Elateridae h 5.00 18.02 37.53 25.98 0.25 0.85 0.90 0.70
Lampyridae p 2.78 - - - 0.20 - - -
Scarabaeidae h 20.24 30.56 2.98 - 0.55 0.75 0.10 -
Tenebrionidae d 0.76 0.20 4.31 0.20 0.10 0.05 0.20 0.05
other larval v 1.67 0.20 0.56 0.20 0.15 0.05 0.05 0.05
Adult Diptera
Culicidae ps 0.20 - 0.40 - 0.05 - 0.10 -
other adult v 0.40 4.16 1.56 0.96 0.10 0.10 0.25 0.10
Larval Diptera
Empidae d 1.67 1.11 3.58 0.76 0.15 0.10 0.25 0.10
Fungivoridae d 0.56 - 5.82 0.60 0.05 - 0.30 0.05
Tabanidae d 0.56 - - 0.20 0.05 - - 0.05
Tipulidae d 5.00 1.71 2.78 0.60 0.25 0.20 0.25 0.10
other larval v 4.44 2.27 13.22 4.78 0.30 0.30 0.50 0.45
Adult Lepidoptera v 0.20 - - - 0.05 - - -
Larval Lepidoptera h 1.71 2.51 1.76 3.27 0.20 0.3 0.35 0.45
Hymenoptera, Formicidae v N/A N/A N/A N/A 0.75 0.75 0.50 0.55
Hymenoptera, other v - 0.40 0.20 1.11 - 0.10 0.05 0.10
Insect pupae 7.82 0.76 3.98 2.47 0.40 0.10 0.40 0.35
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were found at every site except MO, and at higher abundances in NH than other sites
(P < 0.01; Fig. 2b). We found greater richness of beetle families in MI and NH, but the
total abundance of beetles (larval and adult combined) was highest in MO and MA
(Table 3). Total mean macroinvertebrate abundance (number of individuals per m2;
all pits + dates averaged, ± SE) was 416 (± 54) in MO, 195 (± 46) in MA, 107 (± 11) in
MI, and 92 (± 16) in NH. The functional group with the greatest proportion of organisms
varied by site, and was represented by the detritivores (64%) in MO, herbivores
(including root feeders) in MI (60%) and MA (51%), and split equally between predators
and herbivores in NH (36% each) (Table 4). The Curculionidae we collected
were primarily soil-dwelling root feeders (D. Coyle, University of Georgia, Athens,
GA, pers.comm.), and they are classified here as herbivores.
The variation in species composition was best explained by a 2-axis solution
in the NMS ordination (stress level = 20.93, 70 iterations; Fig. 3). Axis 1 has an
r2 of 0.132 and axis 2 has an r2 of 0.511. The NPMANOVA showed that there was
a significant difference between sites (F = 4.59, P < 0.01). In the factor analysis,
most of the environmental variables were strongly correlated, with only soil water
content independent of the others (Table 5). Factor 1 explained 75% of the variance,
and was positively correlated to litterfall, soil temperature, and litter temperature,
and negatively correlated to latitude and Oa horizon depth. Factor 1 captures a
N–S temperature-productivity gradient with higher temperature and productivity
Table 4. Variation in percentage of the macroinvertebrate community in each of four functional groups
at four sampling sites in the eastern US. Values in parentheses are the mean number of individuals per
m2. Other functional group includes parasites, scavengers, omnivores, and taxa that were not identified
to family. Site abbreviations are as in Table 1.
Site Detritivore Herbivore Predator Other
MO 64% (263) 20% (80) 13% (52) 3% (13)
MI 16% (17) 60% (64) 14% (15) 10% (11)
MA 12% (23) 51% (98) 29% (56) 8% (16)
NH 20% (18) 36% (31) 36% (32) 8% (7)
Figure 3. Ordination of plots in
taxonomic space. Each plot point
represents the mean of 4 pits;
symbols indicate the geographic
location of plots (MI = Michigan,
NH = New Hampshire, MA =
Massachusetts, and MO = Missouri).
Vectors indicate the relative
strength and direction of correlation
of factor 1 (temperature/
productivity) and factor 2 (soil
water content) from the factor
analysis; vector scaling is 100%.
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2016 Vol. 23, No. 1
towards the south. Factor 2 explained an additional 21% variance and was strongly
positively correlated only to soil moisture. The joint plot (Fig. 3) shows that the
temperature–productivity gradient drove the variation observed in Axis 2, while
a soil-moisture gradient drove the site variation explained by Axis 1. Because the
environmental vectors were essentially parallel to the NMS axes, these axes could
be interpreted as temperature–productivity and soil-moisture gradients.
Diversity indices
The percent-similarity measures (Table 6) show that the MA and NH sites (geographically,
the 2 sites closest to one another) had the most overlap, and the MO
and NH sites (the 2 sites farthest apart) had the least overlap. The MI site, though
a similar distance from the northeastern sites and MO, had more overlap with the
northeastern sites, which were at similar latitude.
We found a significant difference in H' between sites in September (P = 0.03) but
not in June (P = 0.65) (Fig. 4, Table 7). In September, MO had a significantly higher
H' than NH. Species richness varied between sites in both June (P = 0.003) and
September (P = 0.001). Species richness was lowest in NH at both sampling times.
J' was not significantly different between the sites at either sampling time, but in
MA and NH there was a significant increase in J' between June and September (MA:
P = 0.011, NH: P = 0.044), suggesting decreasing dominance of the community by
a few taxa, over the course of the season.
Rank–abundance curves (Fig. 5) showed that all sites had soil invertebrate
communities dominated by few taxa. MI and NH, the northern-most sites, had the
fewest number of taxa represented by 10 or more individuals in samples, for both
litter and soil. The highest numbers of individuals in any 1 taxon were found at the
Table 5. Factor loadings of environmental variables, analogous to Pearson’s correlation coefficients.
* signifies loadings that were used to interpret and name the fa ctors.
Factor 1: Factor 2:
temperature–productivity soil water content
Latitude -0.8929* -0.3996
Litterfall 0.9582* -0.2198
Oa Depth -0.8970* 0.2830
Soil water content -0.0482 0.9809*
Soil temp 0.9896* 0.0923
Litter temp 0.9932* 0.0641
Eigenvalue 4.4881 1.2628
% total variance explained 74.8 21.05
Table 6. Percent similarity of the soil macroinvertebrate community between study sites in Missouri
(MO), Michigan (MI), Massachusetts (MA), and New Hampshire (NH).
MO MI MA NH
MO -0.36
0.37 0.25
MI -
0.48 0.47
MA -
0.66
NH -
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2 southern-most sites: MO and MA. In MO soil samples, the taxa represented by
over 100 individuals were both non-native earthworms—Lumbricus spp. and Aporrectodea
caliginosa (Savigny). In MA litter samples, the taxon with the highest
rank abundance was spiders (Araneae).
Figure 4. (A)
Mean Shannon’s
diversity,
(B) mean taxonomic
richness,
and (C) mean
evenness of soil
macroinvertebrate
communities
at four sites
in the eastern
US. in June
and September
2010. Levels of
significance are
shown at α =
0.05, error bars
represent the
standard error
of the mean.
Site abbreviations
are as in
Table 1.
Table 7. F-table for all ANOVAs used in analyzing soil macroinvertebrate data.
Effect DF F value Pr > F
Earthworm abundance 3 38.83 less than 0.01
Millipede abundance 3 11.35 less than 0.01
Total abundance 3 25.33 less than 0.01
Shannon’s diversity
June 3 0.56 0.65
September 3 3.83 0.03
Taxonomic richness
June 3 6.9 less than 0.01
September 3 8.49 less than 0.01
Evenness
June 3 0.43 0.73
September 3 2.45 0.10
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016 Vol. 23, No. 1
Figure 5. Rank-abundance curves for (A) litter and (B) soil-dwelling macroinvertebrates at
4 sites in the eastern US. Abundance equals the total number of individuals of each taxon
collected at each site from a total of 20 pits per site. Note: y-axis is log scale. The point
where a curve drops below 1 indicates the rank level at which no further taxa were collected
for the site. Site abbreviations are as in Figure 1.
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Discussion
Several soil invertebrate taxa are known to be most abundant in temperate
deciduous forests (e.g., earthworms and millipedes), and decrease in abundance
towards the tropics or as the coniferous forest component increases (Fierer et
al. 2009, Peterson and Luxton 1982). While the structure of the soil invertebrate
communities we observed may be related to trends that vary over much larger
geographic areas, we posit that other factors (invasive species, productivity, temperature)
had important effects on the soil invertebrate community structure, given
that our sampling was carried out in relatively similar deciduous forest vegetation.
Among our study sites, productivity was highest in the south, with the highest
mean temperature and litterfall and fastest SOM C turnover time (McFarlane et al.
2012) at the southern-most site. Other studies have observed a positive correlation
between belowground faunal biomass and net primary productivity (McNaughton
et al. 1989). We sampled abundance, not biomass, but we observed a positive correlation
between belowground invertebrate abundance and productivity.
The largest difference in the detritivore community composition between our
sites was related to the non-native earthworm component. The earthworm population
density in MO was over 25 times the density we found in MI, and we sampled
no earthworms at all in MA or NH. All adult earthworms we collected were nonnative
species. MO was also the only site where O horizon depth was close to zero.
Earthworms can have significant effects on the organic layer, causing little differentiation
between mineral and organic horizons (Schaefer and Schauermann 1990,
Teuben and Smidt 1992), and reducing the thickness of the organic layer (Kuperman
1996, Snyder et al. 2011). Non-native earthworms have been documented in
all 4 of the states (Reynolds 1995) in which we sampled. Invasions of non-native
species are the result of anthropogenic activity and propagule pressure (Callaham et
al. 2006b, Colautti et al. 2006, Su 2013). Non-native earthworms are present at sites
farther north near the Great Lakes and St. Lawrence River in Canada, and throughout
interior Canada (Dymond et al. 1997, Moore and Reynolds 2003, Reynolds
1995, Wironen and Moore 2006), and so all 4 sites are within their range; thus, their
absence may not be due to unsuitable habitat or even an absence of introduction.
It is possible they are present in such low densities in our sample areas that we did
not detect them in NH and MA.
Earthworm invasions often occur in waves, with epigeic species being the first
to arrive, and endogeic and anecic species invading only after the organic layer has
already been reduced (Eisenhauer et al. 2007, Hale et al. 2005, James and Hendrix
2004). Once stable populations of endogeic and anecic species establish, the forest
floor does not recover. We observed a greater abundance of endogeic earthworms
(Aporrectodea caliginosa and Octolasion cyaneum (Savigny) [Blue Worm]) in MO,
and a greater abundance of epigeic earthworms (Lumbricus rubellus Hoffmeister
[Red Earthworm] and Dendrobaena octaedra (Savigny)) in MI (where the O horizons
were thicker). One possible explanation is that the MO site has been invaded
by non-native earthworms longer than the MI site. Our observation may also reflect
the differences in earthworm communities observed across temperature gradients.
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016 Vol. 23, No. 1
As temperature increases, earthworms can feed on SOM at lower concentrations
because of increased mutualistic digestion from gut microbial activity; thus, the
relative abundance of endogeic species increases at warmer sites (Lavelle et al.
1995). Additionally, we found a seasonal variation in epigeic earthworms. At both
sites there were more epigeic earthworms in June than in September. It is possible
that a reduction in the organic layer during the season, or drier overall conditions in
late summer, may be responsible for the observed reduction in epigeic earthworms.
The presence of earthworms may have helped produce not only the fast SOM-C
turnover rate observed in MO, but also the faster SOM-C turnover rate observed
in MI relative to NH and MA (McFarlane et al. 2012). Decomposition rates are
generally lower when moisture is limited (Collison et al. 2013, Riutta et al. 2012)
and temperatures are lower (Gholz et al. 2000), but MI did not have the longest
SOM-C turnover times—instead, the northeastern sites did (McFarlane et al.
2012). We suggest that at our sites decomposition was influenced more strongly by
the presence of non-native earthworms than by precipitation or temperature. This
observation is in line with other recent studies indicating that local factors may be
more influential to decomposition rates than simple climate characteristics (Bradford
et al. 2014, Wall et al. 2008).
Millipedes were present at all sites except MO, and they dominated the detritivore
community at the NH site. Millipedes are primarily epigeic (Hopkin
and Read 1992), and millipede survival is lower when litter and Oe/Oa horizon
material is absent or reduced (David et al. 1991, Snyder et al. 2013), such as by
non-native earthworms (Snyder et al. 2011). The shallower Oe/Oa horizon depth
at the MO and MI sites, attributable to the greater earthworm abundances at
these sites, may have resulted in less habitat and food resources for millipedes,
as hypothesized in Snyder et al. (2011) and observed in Snyder et al. (2013).
The absence of millipedes from our samples at the MO site was unexpected, and
invites further scrutiny. In a study conducted in upland broad-leaf forest habitat
close to the current study (within 40 km of our sampling site), Dowdy (1968)
reported 14 species of millipedes in litter and soil occurring at average densities
of ~23 individuals per square meter. Further information about millipedes in the
forests of Missouri is scarce, but there are more recent reports of certain species
occurring in the state (McAllister et al. 2005, Shelley et al. 2006), and there is
no reason to expect that millipedes would not be represented in the fauna at our
sampling site. It is possible that non-native earthworm abundances have increased
significantly since Dowdy’s study, and the absence of millipedes from our study
site may be a direct consequence of this invasion.
The detritivore community in MA was dominated by larval Diptera and Coleoptera,
in comparison to NH, which was dominated by millipedes. Though these
sites had several similarities (no earthworms, thicker Oa/Oe horizon depth) compared
to the other sites, there were also differences (MA was warmer, drier, and
more productive and had a different tree community). Larval Diptera have shown
a preference for deciduous forests over coniferous in boreal Canada (Paquin and
Coderre 1997), and an increase in litter supply was shown to have a positive effect
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016
39
on Diptera (Hövemeyer 1989) and Coleptera larvae (David et al. 1991). These relationships
may have helped to generate the differences in detritivore communities
we observed, but additional research would be necessary to identify the mechanisms
behind community structure at each site.
While some of the most notable differences in the invertebrate community between
sites was due to detritivores, predators and herbivores were more abundant
than detritivores at the northern sites and deserve further examination. Lindberg
et al. (2002) found that drought conditions negatively affected the relative abundance
of predators, and similarly, we found that the 2 driest sites, MO and MI,
had the fewest predators. Predators can make up an increasing component of
the invertebrate community as one transitions into coniferous and older forests
(Paquin and Coderre 1997), but the sites in our study varied only by at most 22
years in stand age and 8% in percent coniferous basal area. The coniferous forest
component was represented by a different species, Tsuga canadensis (L.) Carrière
(Eastern Hemlock), in MA and NH, though, and it is possible that the accompanying
difference in litter composition affected the predator communities. Predator–
prey relations also may have impacted the invertebrate communities we observed.
For example, Carabidae, which are known to consume earthworms (Eitzinger and
Traugott 2011, King et al. 2010), were found at their highest density in MO.
Herbivores reached their highest relative abundances in MI and MA, though
total herbivore abundance in MO was similar to MA and MI. The most-abundant
herbivores we collected were Curculionidae, Elateridae, and Scarabaeidae larvae.
Soil invertebrate herbivore communities can be influenced by vegetation (Frederick
and Gering 2006) and soil texture (Carpaneto et al. 2010, Davis 1996), but much
of the research on root-feeders is from agricultural and otherwise managed systems
(e.g., Johnson and Murray 2008, Johnson et al. 2010). As our results show, forest
soils are home to diverse herbivore communities; however, additional research in
this area is needed to help clarify what biotic and abiotic factors are responsible for
producing these communities.
Several of the patterns we observed across the 4 sites included in this study relate
to known effects of abiotic gradients and biotic interactions, and provide some
insight into transitions that may occur with predicted climate change (IPCC 2013)
and increasing densities of non-native invasive species (e.g., Ricciardi 2007). We
predict that as Palearctic earthworms invade new sites, or their abundances increase,
faster SOM-C turnover rates and a reduction in the litter layer will result. Further
impacts may include reduced abundances of other detritivores due to competition
for limited resources with earthworms. The community assemblages we describe
here are important as examples of the wide variety of soil macroinvertebrate communities
found throughout the range of eastern deciduous forests.
Acknowledgments
Greta Langhenry, David Combs, Jim Le Moine, and Jasmine Crumsey assisted with field
sampling. This material is based upon work supported by the US Department of Energy,
Office of Science, Office of Biological and Environmental Research through a contract with
Northeastern Naturalist
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E.S. Wenk, M.A. Callaham Jr., J.J. O’Brien, and P.J. Hanson
2016 Vol. 23, No. 1
Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC, under Contract
No. DE-AC05-00OR22725 with the US Department of Energy.
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