Northeast Natural History Conference 2011: Selected Papers
2012 Northeastern Naturalist 19(Special Issue 6):89–100
Land-Cover Change in Western New York:
Implications for Soil Carbon Dynamics
Mark D. Norris*
Abstract - Woody plant expansion is a global phenomenon and has been demonstrated to
have impacts on the global carbon (C) cycle as a substantial C sink. Land-cover change
in western New York has followed a pattern common to the northeastern US as presettlement
forests were extensively cleared for agriculture use. In the past several decades, a
substantial portion of this agricultural land has been left to natural succession. This study
investigates soil C dynamics across a chronosequence of habitats representing this landcover
change including old fields, shrublands, and early successional forests. Despite
substantial shifts in plant community composition and structure, neither soil respiration
nor soil organic matter changed significantly with habitat type. While consequences of
this land-cover change in western New York remain inconclusive, the scale of this change
could result in substantial shifts in regional ecosystem C dynamics.
Introduction
Land-cover/land-use change is one of the major anthropogenic drivers of global
ecological change (Foster et al. 2003, Ojima et al. 1994). A major aspect of landcover
change involves shifts in the balance of woody and herbaceous vegetation,
including a worldwide phenomenon of afforestation and woody plant expansion
(Archer et al. 2001). For example, 239,000 km2 of croplands in the United States
have been reverted to forests in the past century (Williams 1990). Given the
worldwide extent of this woody plant expansion, the terrestrial carbon (C) sink of
atmospheric CO2 has been greatly enhanced by this land-cover change in the temperate
zone in the past half century (Myneni et al. 2001, Houghton 2003).
Land-cover change in the northeastern United States is responsible for some
of this terrestrial sink (Houghton 2003, Schimel et al. 2000). Although New
England was historically (pre-European settlement) largely forested, forest cover
declined to 20–40% in 1830–1890 when agriculture peaked following European
settlement. As relatively poor farmland was abandoned, secondary forests returned
and remain prevalent in these states, which are now approximately 65–
85% forested (Foster 1995). Aggrading forests in this region have accumulated
large stores of ecosystem C, primarily in aboveground biomass and the forest
floor, and will continue to be C sinks for at least 200 years following establishment
(Hooker and Compton 2003).
More elusive are consistent patterns of plant-soil interactions, including plant
belowground dynamics and soil C pools and fluxes as a result of land-cover
change. Carbon stored aboveground in plant biomass is potentially vulnerable to
*Department of Environmental Science and Biology, The College at Brockport State
University of New York, 350 New Campus Drive, Brockport, NY 14420; mnorris@
brockport.edu.
90 Northeastern Naturalist Vol. 19, Special Issue 6
loss through disturbances (e.g., fire); however, belowground C processes potentially
represent longer-term C sequestration or loss. Increasing woody vegetation
is generally associated with increased soil C and attributed to enhanced root
production, a shift to more recalcitrant litter, and/or an accumulation of the forest
floor (Foote and Grogan 2010, Hibbard et al. 2001, Kaye and Hart 1998, McKinley
and Blair 2008, Morris et al. 2007); however, this pattern is not uniform, as
several studies have found that soil C does not change significantly with this
increased woody plant cover (Billings 2006, Hughes et al. 2006, Lett et al. 2004,
McCarron et al. 2003, Scharenbroch et al. 2010). The effects of woody plant
proliferation on soil C fluxes via soil respiration are more consistent, generally
finding reduced soil respiration rates beneath woody vegetation and attributing
this pattern to a shift in microclimate (e.g., cooler temperatures), coarser woody
roots, reduced belowground net primary production, or reduced litter quality
(e.g., increased % lignin and/or decreased % N) (Kaye and Hart 1998, Lett et al.
2004, McCarron et al. 2003, McKinley and Blair 2008, Smith and Johnson 2004).
This reduced rate of soil C losses may correspond to enhanced soil C storage.
Vegetative change in western New York is characteristic of the broader pattern
of land-cover change in the northeastern United States. The presettlement
vegetation of the region has been described as mostly late-successional forest
dominated by Fagus grandifolia Ehrh. (American Beech) and Acer saccharum
Marshall (Sugar Maple) (Seischab 1990, Wang 2007). Following European settlement,
as much as 84% of the forest was cleared for agriculture on a per county
basis (Smith et al. 1993, Wang et al. 2010). Wang et al. (2010) found that after
agriculture peaked in the late 19th century, forest cover returned in some areas,
resulting in a substantial increase in early and mid-successional tree species.
This study investigates the consequences of this pattern of land-cover change in
western New York as old fields succeed to shrublands and to early successional
forests. I focus on soil C dynamics, linking these to dominant plant community
habitats along a successional chronosequence. I hypothesize that 1) total soil C
increases, and 2) soil respiration decreases over time as these systems shift from
herbaceous to woody vegetation.
Methods
Site description
The study took advantage of the habitat diversity at the Iroquois National
Wildlife Refuge (43°6'35.2"N, 78°24'03.7"W) in western New York, located
midway between Rochester and Buffalo in the rural towns of Shelby and Alabama
in Orleans and Genesee counties. The refuge contains nearly 4400 ha, of
which more than 700 ha are upland forest, 400 ha are shrubland, and 480 ha are
grassland. Dominant herbaceous vegetation included Solidago spp. (goldenrod),
various graminoid and Carex spp. (sedge) species, and Asclepias syriaca L.
(Common Milkweed). Shrubs primarily included various Cornus spp. (dogwood)
and Lonicera spp. (honeysuckle) species and Elaeagnus angustifolia L. (Russian
Olive). Common tree species encountered in the late successional shrublands and
forests included Fraxinus spp. (ash) and Salix spp. (willow) species, and lesser
contributions by Acer spp. (maple), Quercus spp. (oak), Populus tremuloides
2012 M.D. Norris 91
Michx. (Quaking Aspen), and Juglans nigra L. (Black Walnut). The landscape
is nearly level to gently sloping. Soils represent several series developed from
glacial lakes deposits and are generally silt loams or very fine sandy loams and
moderately well drained in study sites (Higgins et al. 1977, Wulforst et al. 1969).
The climate is fairly humid continental with strong modification from the Great
Lakes, with precipitation evenly distributed throughout the year. Mean annual
temperature is 8.8 ºC, and total precipitation is 103 cm/yr.
Experimental design
Within the refuge, sample sites were selected based on representation of common
grassland-shrubland-forest successional habitat types and accessibility. Sites
were characterized as one of four habitats spanning the successional gradient from
grassland to woodland: grassland/meadow (less than 10% shrub cover), early successional
shrubland (40–60% shrub cover), late successional shrubland (>80%
shrub cover), and early successional forest with a mature tree canopy, while lacking
evidence of old-growth characteristics (e.g., shade-tolerant tree species, pit and
mound topography) (Fig. 1). This approach assumes a space-for-time substitution
that all sites would otherwise be similar (e.g., soils, water availability, potential
vegetation). Site selection emphasizes plant functional types rather than the plant
community composition of individual habitats, though it was determined that
Figure 1. Stages of old-field succession investigated including A) herbaceous old field,
B) early successional shrubland, with shrub islands in a herbaceous matrix, C) late successional
shrubland, with limited herbaceous vegetation in a shrub matrix, and D) early
successional forest. Photos taken summer 2008.
92 Northeastern Naturalist Vol. 19, Special Issue 6
composition was consistent across habitats of the same type. Most sites are not
included in the refuge’s grassland management program and detailed land-use history
is unavailable for specific sites. Several of the meadows or shrublands have
been maintained with infrequent mowing or hydro-axing, effectively halting succession
(Paul Hess, Iroquois National Wildlife Refuge, NY, pers. comm.).
Each habitat was replicated three times, with the exception of the early successional
shrubland habitat that had four replicate sites for a total of 13 study sites.
These young shrubland sites also differed from the rest in that shrubs exist as shrub
“islands” or distinct patches within an herbaceous matrix. Thus, to characterize
this habitat as a whole, both dominant vegetative covers (shrub vs. herbaceous)
were analyzed separately and then combined based on the percent shrub cover of
that site for comparison with other habitats. Three sample plots (subplots) were utilized
in each of the habitats (or sub-habitats in the early successional shrublands)
for all data collection and then averaged prior to statistical analysis. This approach
may mask variation due to shrub island size and age (Wheeler et al. 2007), but sites
demonstrated relatively little heterogeneity in shrub patch structure.
Data collection
Soil respiration rates were measured six times, approximately every three weeks
between mid-June and mid-October 2008. Rates were determined in situ using a Li-
Cor 6400 infrared gas analyzer with soil CO2 flux chamber (Li-Cor, Lincoln, NE),
with soil temperature measured simultaneously. Measurements were generally
made in the morning and early afternoon. For each sampling date, the order in which
sites were visited differed. Small soil cores (2.5 cm diameter, 20 cm depth) were removed
to determine gravimetric soil moisture via oven drying.
On 13 September 2008, numerous other variables were collected centered on
or immediately adjacent to each of the three soil-respiration measurement points.
Herbaceous aboveground biomass was harvested in 0.125-m2 plots, representing
peak biomass. This biomass was returned to the lab, dried to a constant weight at
60 ºC, and weighed. Shrub stem density and basal area just above ground level
were determined in 0.25-m2 plots. In the early successional forests, tree density
and basal area (at breast height) were determined in 3-m-radius plots. Soil cores
(5 cm diameter, 20 cm deep) were collected following removal of aboveground
biomass for determination of bulk density, soil moisture, root biomass, and soil C.
Cores were kept on ice until returned to the lab, and then were passed through a
4-mm sieve. Any rocks or aboveground plant tissue were discarded. Bulk roots
and soil samples were oven-dried separately and weighed. Subsamples of dried
soil were composited in equal quantities by habitat site (or sub-habitat for the
early successional shrubland sites) and analyzed for total C content via an elemental
analyzer (NC 2100 Soil Analyzer, ThermoQuest, Milan, Italy) as well as
for soil organic matter (SOM, loss on ignition at 500 ºC for 2 hours). Because the
two measures (SOM and total soil C) have been used interchangeably and were
strongly correlated (P < 0.0001), only SOM is reported in the results.
Analyses
One time measurements and the means of repeated measurements were statistically
analyzed for effects of successional stage (habitat) by ANOVA (n = 13)
2012 M.D. Norris 93
with post hoc Tukey’s tests to determine differences between habitats. The woody
basal area data did not satisfy ANOVA assumptions, so the non-parametric alternative
Kruskal Wallis was used. Paired t-tests were conducted to compare
the same variables in herbaceous- versus shrub-dominated patches in the early
successional shrubland sites. Soil respiration rates across the four habitats and
within the two sub-habitats of the early successional shrubland were analyzed
using a repeated measures analysis. Graphs of soil respiration and microclimate
over the course of the season are not shown, as patterns were fairly consistent
(i.e., there were no time x habitat interactions) and represented by the means over
time. All analyses were completed with SPSS (SPSS, Inc.)
Results
Habitat and vegetation
There was relatively little variation in plant species composition and shrub
cover among sites of the same habitat type. This homogeneity may have been due
to management to maintain that habitat type; it is expected that any such management
would amplify effects of that habitat, essentially prohibiting succession
from occurring and retaining the character of that successional stage. Through the
successional sequence studied, herbaceous biomass decreased significantly (F =
17.82, P < 0.0001, r2 = 0.856; Fig. 2A), generally as woody biomass or canopy
cover increased. Woody basal area varied significantly between habitats (H =
10.16, P = 0.017), but did not increase linearly, as the dense late successional
shrublands had the greatest basal area compared to the early successional shrublands
and forests, which were similar (Fig. 2B). Belowground, fine root biomass
did not statistically differ between habitats (Fig. 2C).
The comparison of the shrub-dominated and herbaceous-dominated communities
in the early successional shrubland habitat were similar to that across all
habitat types. Herbaceous biomass decreased with shrub establishment (t = 5.56,
P = 0.012, Fig. 3A), while woody basal area increased (t = 18.46, P < 0.0001,
Fig. 3B). Root biomass also increased, albeit marginally, with woody plant cover
(t = 2.43, P = 0.093; Fig. 3C)
Soil C dynamics and microclimate
Soil respiration rates generally decreased with shrub development, then
increased with forest establishment; however, these differences were not statistically
significant when analyzed by repeated measures (F = 1.896, P = 0.201) or
when averaged across dates (F = 1.90, P = 0.201, r2 = 0.387, Fig. 2D).
Soil temperatures generally decreased with successional stage from meadow
to forest, resulting in a significant effect of habitat when analyzed by repeated
measures (F = 5.732, P = 0.018) or when averaged across dates (F = 5.73, P =
0.018, r2 = 0.657; Fig. 2E). Soil moisture generally increased during succession,
but was characterized by greater variability, and thus there were no statistical
differences due to habitat type when analyzed over time (F = 0.391, P = 0.763)
or when averaged over time (F = 0.39, P = 0.763, r2 = 0.115; Fig. 2F).
As before, patterns of soil respiration and microclimate in the two contrasting
sub-habitats of the early successional shrubland largely mirrored those
94 Northeastern Naturalist Vol. 19, Special Issue 6
Figure 2. Ecosystem responses (mean + standard error) across 4 stages of succession from
meadow to forest including A) herbaceous biomass, B) woody basal area, C) belowground
biomass (0–20 cm), D) soil CO2 efflux (averaged across 6 sample dates), E) soil temperature
(0–10 cm; averaged across 6 sample dates), F) soil moisture (0–20 cm; averaged across
6 sample dates), and G) soil organic matter (0–20 cm). Bars with different lowercase letters
within each panel indicate statistical differences between habitats (α = 0.05).
2012 M.D. Norris 95
Figure 3. Ecosystem responses (mean + standard error) under contrasting vegetative
cover in early successional shrublands including A) herbaceous biomass, B) woody basal
area, C) belowground biomass (0–20 cm), D) soil CO2 efflux (averaged across 6 sample
dates), E) soil temperature (0–10 cm; averaged across 6 sample dates), F) soil moisture
(0–20 cm; averaged across 6 sample dates), and G) soil organic matter (0–20 cm).
96 Northeastern Naturalist Vol. 19, Special Issue 6
across the entire successional gradient. Soil respiration rates were highest in the
herbaceous-dominated communities four of the six dates, but the overall pattern
was insignificant (F = 3.171, P = 0.125). Soil temperature was typically reduced
by shrub cover, such that there was a significant effect of plant community (F =
7.223, P = 0.036). Again, there were no effects of sub-habitat on soil moisture
(F = 0.001, P = 0.976).
SOM increased initially with shrub establishment in the early successional
shrublands, but then decreased with increasing woody plant establishment (Fig.
2G), and there was no significant effect of habitat (F = 0.63, P = 0.614, r2 = 0.173).
Within the early successional habitat, the increase in SOM from herbaceous cover
to shrub cover was marginally significant (t = 2.71, P = 0.073; Fig. 3G).
Discussion
Despite substantial shifts in the plant community structure and composition
along this chronosequence, soil C dynamics have not changed correspondingly.
In short, changes in the plant community were largely predictable, but
mechanisms driving soil C dynamics remain inconclusive. Given that there was
relatively little variation in species composition and woody cover within each
successional stage, it was expected then that the dominant functional group in
the plant community would exert greater influence over ecosystem functioning,
including soil C dynamics.
It was anticipated that SOM would reflect patterns of aboveground biomass
and productivity and increase over time. In contrast to this hypothesis, SOM increased
from the meadows to the early successional shrublands, but then declined
with further woody development, although with no statistical differences. It may
be that the trends of SOM follow more closely that of aboveground litter quality
rather than litter quantity. In other words, the litter C:N ratio or some other
measure of litter recalcitrance may increase from herbaceous flora to shrubs (e.g.,
greater woody litter) followed by a subtle decrease as shrubs succeed to early
successional forest (greater leaf litter relative to woody inputs). Previous studies
have shown that during old-field succession or woody encroachment, decay
rates generally decrease due to a reduction in litter quality (Cortez et al. 2007,
Kazakou et al. 2006, Norris et al. 2001b); however, few studies have explicitly
addressed litter chemistry dynamics and patterns of litter recalcitrance in the
context of old-field succession.
Patterns in soil respiration also conflicted with the hypothesis, largely due to
increased soil C fluxes from the late successional shrublands to forests; however,
there was a negative relationship between SOM and soil respiration (r = -0.534,
P = 0.060). If aboveground litter recalcitrance peaks in shrubland habitats as
suggested above, it may also explain patterns in soil C flux by retarding decay.
Belowground productivity may also help explain patterns of both SOM and
soil respiration (Hibbard et al. 2001). Studies in the tallgrass prairie found that
as shrubs established in grassland, root production decreased (Lett et al. 2004)
and was associated with coarser roots (McCarron et al. 2003), both concomitant
with decreases in respiration rates. The one-time measurement of root biomass
is insufficient to address this pattern here, but the increased root biomass in the
2012 M.D. Norris 97
forests likely contributed to elevated soil respiration rates. Soil C fluxes are often
attributed to soil microclimate. As has been found in other woody encroachment
or forest succession studies (McCarron et al. 2003, Smith and Johnson 2004,
Tang et al. 2009), soil respiration was positively linked to soil temperature across
all sites (P < 0.0001, r2 = 0.361). Generally, as woody basal area increases, soil
temperature decreases, likely depressing soil microbial activity and soil respiration
rates, a pattern also reflected in the data here (r = -0.484, P = 0.094).
There are numerous alternative explanations for why SOM is not increasing
in this successional chronosequence. First, increased C input to the soil associated
with woody plants (i.e., litterfall, root exudates, fine root turnover) could
stimulate microbial activity and actually decrease SOM as has been found in lownutrient
soils (Fontaine et al. 2004); however, this seems unlikely given probable
decreases in litter quality and because atmospheric N deposition in this region
is relatively high (>4 kg N/ha/yr; National Atmospheric Deposition Program
2008). Second, Jackson et al. (2002) found that patterns of SOM during woody
encroachment across a broad precipitation gradient depended on soil moisture
in that more mesic sites lost enough SOM with woody establishment to offset C
gains in plant biomass. They attributed this loss to reduced belowground production.
In this case, such a scenario is unlikely given the general lack of substantial
variability in soil moisture between habitats and because patterns of root biomass
were not correlated with SOM or soil respiration. Third, there may not have been
enough time for soil C to accumulate substantially in these early successional
habitats. Despite the decadal time scale, litter quantity and quality may not vary
enough across the chronosequence to drive significant soil C sequestration; however,
Knapp et al. (2008) found that time since conversion was not important in
differences in SOM between shrubs and prairie. Fourth, although extirpated from
the region with glaciation, earthworms are present on site (M.D. Norris, pers. observ.)
and may have dramatic influences on soil C dynamics. Earthworm impacts
may include consumption of plant litter, soil mixing, altered soil microbial community,
and increased nutrient cycling (including C) (Bohlen et al. 2004). Fifth,
land-cover change may be impacting SOM at depths much deeper than 20 cm as
measured here, as much more soil C is found below this (Batjes 1996). Jobbágy
and Jackson (2000) found that the plant functional types studied here alter soil C
distribution, and that as grassland succeeds to shrubland and forest, an increasing
proportion of soil C is found in the surface layers. This change is due in part to
an associated increase in aboveground litter but also to a shift in belowground
biomass as rooting depth varies with plant functional type (Jackson et al. 1996).
Despite the lack of apparent soil C sequestration in this chronosequence, woody
basal area increased and likely contributes dramatically to ecosystem C. Several related
studies have found that the vegetation represents the greatest change amongst
the C pools during this land-cover transformation, primarily driven by a large
increase in aboveground net primary productivity (Briggs et al. 2005, Hibbard et
al. 2003, Hughes et al. 2006, Lett et al. 2004, McKinley and Blair 2008, Norris et al.
2001a, Scharenbroch et al. 2010). Another C pool of importance is the forest floor,
which is likely to accumulate detritus and may also far outweigh increases of C in
mineral soil (Hooker and Compton 2003, Kaye and Hart 1998); however, there was
98 Northeastern Naturalist Vol. 19, Special Issue 6
no apparent accumulation of the forest floor in our shrublands or forests. By metaanalysis
of global afforestation, Paul et al. (2002) indicated that soil C depended on
a variety of factors, but that soil C accumulation was small relative to biomass C. In
a similar analysis of afforestation following agricultural abandonment, Laganière
et al. (2010) found that soil C sequestration was greatest in croplands compared to
pastures or grasslands. The refuge does have a history of farming, but detailed records
for these study sites are unavailable.
In conclusion, this land-cover change of meadow to shrubland to forest is
predominant in this region. Much of this change can be attributed to the recent
history of agricultural abandonment in western New York (Wang et al. 2010). My
results suggest that this land-cover change does appear to influence patterns of
ecosystem functioning, but not to the magnitude or sometimes direction expected.
To better predict the ecosystem C implications of this change in the region, we
need a better understanding of the complexity of the mechanisms behind soil C
dynamics, including litter chemistry and belowground production and turnover.
Additionally, we need to quantify biomass aboveground and on the forest floor, as
this likely represents the greatest shift in ecosystem C across the chronosequence,
then link these patterns to regional acreage representing these habitats.
Acknowledgments
This project would not have been possible without the cooperation of Thomas Roster
and Paul Hess at the Iroquois National Wildlife Refuge. Justin Rogers, Emily Reilly, and
Ryan Stotz provided help in sample collection. Erik Lindquist and Nate Grosse aided in
sample processing. The Cornell Nutrient Analysis Laboratory performed soil nutrient
analyses with funding from the College at Brockport Scholarly Incentive Award Program.
Previous versions of this manuscript were improved substantially with comments and
suggestions from Dan Potts and two anonymous reviewers.
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