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Journal of Arid Environments 73 (2009) 1149–1157
Contents lists available at ScienceDirect
Journal of Arid Environments
journal homepage: www.elsevier.com/locate/jaridenv
Assessment of grazing effect on sheep fescue (Festuca valesiaca) dominated steppe
rangelands, in the semi-arid Central Anatolian region of Turkey
H.K. Fırıncıoğlu a, S.S. Seefeldt b, *, B. Şahin c, M. Vural c
a
2. Cadde, 34-4, Bahcelievler, Ankara, Turkey
United States Department of Agriculture, Agriculture Research Service, Sub Arctic Agricultural Research Unit, Room 355, O’Neill Building, University of Alaska Fairbanks, Fairbanks,
AK 99775, USA
c
Department of Biology, Gazi University, Beşevler, Ankara, Turkey
b
a r t i c l e i n f o
a b s t r a c t
Article history:
Received 18 March 2008
Received in revised form
3 February 2009
Accepted 14 May 2009
Available online 2 July 2009
In the semi-arid steppe rangelands of Central Turkey, Festuca valesiaca and Thymus sipyleus ssp rosulans
have become the dominant species on degraded pastures. We hypothesized that decreases in species
richness and abundance are correlated with increasing prevalence of these two species. Therefore, our
objectives were to determine whether there are patterns in examined vegetation; how dominant species
contribute to these patterns; and how patterns differ between grazed and ungrazed vegetation. We
determined that protection from grazing increased species richness. Grazing significantly changed
composition through decreasing total plant, forb, grass and F. valesiaca covers, while substantially
increasing T. sipyleus cover. Topography, soil and grazing appear to impact the dominance of plant
communities where F. valesiaca and T. sipyleus prevail. These two dominant species had a significant
effect in shaping vegetation patterns. Based on regression analysis, alterations in species richness with
changes in cover of forbs and shrubs were evident, and spatial heterogeneity of F. valesiaca and T. sipyleus
indicated unstable vegetative patterns in heavily grazed pastures and successional changes in protected
pastures. Our study results identify F. valesiaca and T. sipyleus as indicator species of vegetation
suppression in condition assessments of degraded steppe rangelands.
Published by Elsevier Ltd.
Keywords:
Grazing exclosure
Plant diversity
Redundancy analysis
Spatial heterogeneity
Thymus sipyleus
Vegetation pattern
1. Introduction
One third of the 13.1 million hectares of grazing lands in Turkey
is located in the Central Anatolian plateau (Anonymous, 2001).
Generally, this region has been included in the Irano-Turanian
phytogeographical region by Zohary and is commonly referred to as
the ‘‘Central Anatolian’’ province (Zohary, 1973). As in most of the
world, steppe vegetation in Central Analolia has been exploited for
grazing and intensive agriculture activities (Akman et al., 1984). In
the region, many grazing areas have been converted to croplands,
especially from the early 1950s to the late 1970s (Bakır, 1987;
Büyükburç, 1983). As a consequence, remaining rangelands have
been overgrazed for a long period of time, resulting in severely
deteriorated vegetation. In Turkey, little is known about how
grazing influences the distribution of plant species. Excessive
grazing might change vegetation structure, thus upsetting
ecosystem processes and biodiversity. Historically, rangeland
* Corresponding author. Tel.: þ1 907 474 1898; fax: þ1 907 474 1813.
E-mail addresses: huseyin@tr.net (H.K. Fırıncıoğlu), sseefeldt@pw.ars.usda.gov
(S.S. Seefeldt), bsahin@gazi.edu.tr (B. Şahin), mvural@gazi.edu.tr (M. Vural).
0140-1963/$ – see front matter Published by Elsevier Ltd.
doi:10.1016/j.jaridenv.2009.05.012
vegetation of Central Anatolia was changed through grazing from
a tall-grass dominated state to shrub dominated, mostly Artemisia
santonicum, rangelands (Horn, 1970; Walter, 1956). Walter (1956)
asserted that in response to increased grazing pressure Thymus
sipyleus becomes a prevailing species. Birand (1943) identified
nearly 900 plant species in the region, and he pointed out that
these rangelands had distinctive characteristics in common with
Russia’s steppe vegetation and many similar plant species. In these
rangelands the two major plant species Festuca valesiaca, a sod
forming short grass, and T. sipyleus ssp rosulans, a prostrate shrub
(Bakır, 1987; Büyükburc, 1983) may be considered indicators of
rangeland degradation as they are exceptionally persistent (Fırıncıoğlu et al., 2008).
Naveh and Whittaker (1979) reported that when grazing is
either extensive or absent, the dominance of grasses eliminates
other species and thus reduces diversity. High grazing pressure
reduces diversity because only a few species are resistant to defoliation (Puerto et al., 1990). Plant diversity typically increases after
the removal of herbivory (Fırıncıoğlu et al., 2007; McNaughton,
1977; Milchunas et al., 1988) and Adler and Lauenroth (2000)
reported that livestock exclosures increased spatial heterogeneity.
From a practical or management point of view, an important issue
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is the relationship between spatial heterogeneity and biodiversity
(Adler et al., 2001). Changes in spatial heterogeneity caused by
grazing imply changes in habitat diversity of consumers ranging
from insects to birds and mammals (Bock et al., 1984; Dennis et al.,
1998; Grant et al., 1982), as cited in Adler and Lauenroth (2000).
Weber et al. (1998) concluded that grazing impacts on vegetation
dynamics depended in large part on heterogeneity in grazing
pressure. If grazing alters the spatial structure of an ecosystem, it
will have potentially important consequences for a wide variety of
ecosystem functions (Adler et al., 2001).
There is little information about how grazing affects the spatial
heterogeneity of plant species. In Central Anatolian steppe grazing
lands, it is presumed that overgrazing has shifted the composition
of range vegetation from tall-grass to short grass and short-shrub
dominant rangelands where the abundance of initial plant species
(i.e., pristine state) declined with grazing over time. But how has
this change in vegetation influenced spatial heterogeneity? The
spatial pattern of vegetation can be influenced by two main factor
groups; (1) intensity and homogeneity in grazing history, and (2)
spatial and temporal variation in climate (e.g., rainfall, temperature), soil and topography (e.g., aspect, altitude and slope).
Factors such as environmental heterogeneity, ecosystem
productivity, ecosystem type, and grazer selectivity may be the
ultimate determinants of patterns in grazing and vegetation, but
they do not control the immediate effect of grazing on spatial
heterogeneity (Adler et al., 2001). The simplest definition of spatial
heterogeneity is a ‘departure from randomness of distribution’
(Greig-Smith, 1979) or a departure from homogeneity. Since plant
community composition and structure are measured with continuous variables such as percent cover, spatial heterogeneity is used
in the sense of surface pattern (Adler and Lauenroth, 2000). Spatial
autocorrelation analysis is a commonly used method to measure
spatial heterogeneity (Adler and Lauenroth, 2000; Chang et al.,
2006; Ripley, 1981). Spatial autocorrelation arises if the same
variable quantified at two sites of d distance (Chang et al., 2006).
Ripley (1981) and Chang et al. (2006) reported that in the autocorrelation analysis spatially explicit data collected at various
locations across the landscape is used, so that their scale domains
(also named as ‘‘characteristic scales’’) and assorting thresholds can
be determined.
We hypothesize that species richness and abundance decrease
with increasing abundance of F. valesiaca and T. sipyleus and that
this decrease is driven by grazing. If this hypothesis is correct, these
two species would respond predictably to ecosystem impacts, and
could be used as indicator species. Therefore, our objective was to
investigate the effects of grazing on steppe vegetation by determining whether there are patterns in the vegetation; how dominant species contribute to the patterns; and how the pattern in
grazed vegetation differs from the pattern in ungrazed vegetation.
2. Material and methods
2.1. Study site
The study was conducted in 2003 in rangelands near the Field
Crops Central Research Institute Experimental Station (FCCRIES),
_
45 km southwest of Ankara, and close to Ikizce
village range areas
(Appendix 1). Prior to establishment of the Research Station in
1976, these rangelands were heavily grazed. After station establishment, its borders were fenced and these areas were protected
from grazing for 27 years, while the village pastures continued to be
heavily grazed by sheep and cattle. The village farmers (personal
communication with Mr. Zeki Çetin) reported that before enclosure
establishment, there were 1280 AU of small and large ruminants
(1 AU equals 500 kg live weight) grazing 600 ha of range area
(0.47 ha/AU), which is considered very high grazing pressure.
Currently 270 AU of both small and large ruminants are grazing
150 ha of native pasture (0.55 ha/AU) outside the fenced area. Over
the last 30 years in the village, both rangeland area and number of
livestock have been reduced dramatically, but the grazing pressure
has not changed. In the region, grazing occurs year round with free
access and no management practices are implemented. Limited
rangeland forage in winter is augmented by allowing animals to
graze stubble after cereal harvest on croplands and by feeding
cereal straw, barley grain and other supplements (Fırıncıoğlu et al.,
1995).
Soils are clay-loam, slightly alkaline, low in organic matter and
phosphorous, high in lime, and abundant in potassium. The Central
Anatolian plateau is characterized by its arid climate (300–350 mm
annual rainfall), cold winters, and warm summers. Rainfall data
obtained from the FCCRIES’s metrological station measured a longterm average of 377 mm. Rainfall was 360 mm in 2003.
The rangelands are a typical steppe vegetation type with some
dominant perennial grasses (F. valesiaca, Poa bulbosa, and Bromus
tomentellus), annual grasses (Bromus tectorum and Bromus japonicus), and shrub species (T. sipyleus, Globularia orientalis, and Genista
albida).
2.2. Methods
To investigate the effect of grazing on vegetation (i.e., spatial
heterogeneity), we have compared data obtained from two grazing
treatments: one long-term protected (ungrazed) and one continuously grazed. Three multi-scale vegetation plots were placed at
each of the two grazing treatments (ungrazed and grazed). The
plots, which were placed inside and outside the exclosures, were
paired to similar soils, slopes, and aspects (Appendix 1). Ungrazed
plot (U1) and grazed plot (G1) were on relatively flat terrain. The
others, U2, U3, G2, and G3, were on a 20–30 NE slope. The
Modified-Whittaker plot (Fig. 1) was chosen as it samples a large
area (0.1 ha). Plots were placed with the long axis along the major
elevation gradient (Stohlgren et al., 1999) and were sampled at the
phenological maximum (peak biomass) during the third week of
June. Each 20 50 m plot (1000 m2) had nested in it ten 0.5 2 m
plots (quadrats), and spatial location of each quadrat was calculated
as the distances from the origin (Fig. 1). The bottom left corner of
the Modified-Whittaker plot (Fig. 1) was marked as the origin
(x ¼ 0, y ¼ 0) of the X and Y axes. The center of each 1-m2 plot situated inside the nested design and their distances from the origin
were calculated as the X and Y distances.
In the ten 1-m2 plots, all plant species were identified and basal
cover of each species, percentage of bare ground, and non-plant
components (rock and stone) were estimated to the nearest
percent. In addition to species data, a total of nine spatially explicit
environmental variables (slope, soil depth, and some soil properties) were used in this study. The soil samples were taken from the
quadrat center at 0–20 cm soil depth. At the same point, soil depths
were measured with the use of an auger. Soil samples were
analyzed for water saturation (%), total salt (%), lime content (%), pH,
potassium (K2O; kg ha1), phosphorus (P2O5, kg ha1), and organic
matter (%).
Plant species which could not be identified in the field were
collected and identified at the herbarium of the Biology
Department at Ankara Gazi University. Four specimens were not
identifiable due to phenological stage, but could be classified into
plant category (forbs, grasses and shrubs) and life form (annuals
and perennials).
Biomass is a parameter which may best reflect the differences in
community structure (Guo and Rundel, 1997). Because F. valesiaca
was considered a pivotal species, its above ground biomass was
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Y
10
A
K
9
7
8
6
C
50m
5
4
3
(7.5; 15.0)
5m x 20m
2
2m x 5m
B
0.5m x 2m
1
X
(0.0; 0.0)
20m
Fig. 1. The schematic presentation of Modified-Whittaker plots; coordinating and
numbering of the 1-m2 subplots along with the X and Y axis.
determined. After completing vegetation measurements in the
1-m2 quadrats, all F. valesiaca plants were harvested at the ground
level and biomass was determined after drying for 48 h at 70 C in
an air-forced stove.
Data analysis began with a calculation of average basal cover of
the major species, and then functional groups (forbs, grasses, and
shrubs). A two independent samples t-test was employed to
determine differences between the number of species, major plant
species, functional groups, and F. valesiaca biomass for the
ungrazed and grazed treatments. Before the t-test, to satisfy
assumptions of normality, all data after adding 1 were Log10
transformed. A fitted line regression analysis was used to determine the following two relationships: species richness versus plant
category (forb, grass, and shrub) covers, and F. valesiaca cover
versus B. tomentellus and T. sipyleus covers. All t-test and fitted
regression analyses were performed with the Minitab statistical
1151
package, and alpha ¼ 0.05 was used to determine significance in all
tests.
To investigate relationships between vegetation and physical
environmental factors, the canonical form of principle component
analysis, the direct ordination method Redundancy analysis (RDA),
was used. CANOCO version 4.5 (ter Braak and Milauer, 1998) was
used separately for both ungrazed and grazed areas. Results of RDA
were used to ordinate sites, based on the abundance and occurrence of plant species, along with environmental variables (soil and
slope). When gradients are short, the relationship between vegetation response and environmental variables is likely to be linear
(Ward et al., 1993). Jongman et al. (1987) recommend use of RDA for
linear relationships, where the explained variance is a straight sum
of square from the regression in RDA (ter Braak, 1991). A linear
response model such as RDA will produce better results than
a Gaussian response model such as the Detrended Correspondence
Analysis when the studied gradient is short and most species are
behaving monotonically over the observed range (i.e., their
observed response is almost linear) (Gauch, 1982; Palmer, 1993; ter
Braak and Prentice, 1988). Results of the RDA were used to ordinate
species based on their abundance and occurrence in the samples
along with environmental variables (soil and slope) in the 1-m2
plots of the ungrazed and grazed treatments separately. Species
that had an occurrence of less than 4 of a possible 30 sites were
considered rare and were removed from the data matrix to avoid
introducing unnecessary noise (Mentis, 1983). This removal was
justified by Gauch (1982) for two reasons: (1) occurrences of rare
species are usually more a matter of chance than an indication of
ecological conditions, and (2) most multivariate techniques are
affected very little by rare species carrying such a small percentage
of the overall information of variance. Therefore, the RDA was
performed with the abundance of 31 species in ungrazed and 23
species in grazed plots, and with the soil and slope environmental
variables. A three-plot of the RDA demonstrates the correlation
among species composition, samples (i.e., quadrats), and environmental variables (i.e., soil, slope, and soil depth) by the direction
and length of lines radiating from the centroid of the ordination
scores.
To detect spatial heterogeneity of the dominant species
(T. sipyleus and F. valesiaca), we analyzed the autocorrelation of
these individual species abundance measured as percent cover.
Spatial autocorrelation analyses were employed for the ungrazed
and grazed range areas using GSþ version 5.3.1. (Geo-statistics for
Environmental Sciences). The calculated distances from the origin
were entered as X and Y values into the data matrices and alongside
the Y axis upper bounds of each 1-m2 plot were defined and entered
as non-uniform intervals. Isotopic correlograms were produced and
Moran’s I (Sokal and Oden, 1978) was used. Moran’s I values range
from 1 to þ1, with þ1 indicating perfect positive autocorrelation
and 1 indicating perfect negative autocorrelation at lag distance
(separation distance) class d. A Moran’s I value of 0 indicates that
data pairs at lag class d apart are not correlated to each other.
3. Results
3.1. Vegetation composition
In the study area there were 74 plant species, of which 61 and 44
species were identified in ungrazed and grazed treatments of the
1-m2 subplots, respectively (data not shown). More forb species
existed in ungrazed plots (48) compared to the grazed plots (32),
and the exclosure had more perennial species (48) than that of the
village rangelands (33).
A comparison of several vegetation parameters of grazing effect
between exclosure and village pastures revealed important
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differences (Table 1). Exclosure plots had significantly (P < 0.01)
larger plant basal cover (21.8%) than village rangelands (16.2%).
There were significantly (P < 0.01) more species in ungrazed plots
(13.3) than in the grazed plots (11.4). Forbs possessed significantly
(P < 0.05) larger basal cover in ungrazed plots (3.3%) than in grazed
rangeland (1.6%), whereas grasses (8.1% and 5.4%) and shrubs (10.5%
and 9.2%) did not differ in grazed and ungrazed plots, respectively
(Table 1). Among the major plant species, F. valesiaca had greater
(P < 0.05) basal cover (8%) in ungrazed than in grazed plots (4.7%),
whereas T. sipyleus acquired larger cover (P < 0.05) in grazed plots
(8.3%) than in ungrazed plots (3.6%) (Table 1). The three shrub
species, G. albida (1.8% and 0.4%), G. orientalis (12.9% and 5.8%) and
Gypsophila sphaerocephala (1.8% and 0.0%), had higher basal cover
in exclosure than in village pasturelands, respectively. The basal
cover of B. tomentellus, a perennial tall-grass, was not different
between the two grazing treatments. The important forage species,
F. valesiaca had nearly 100% more plant biomass in the ungrazed
plots (110.6 g 1-m2) than in the grazed plots (61.9 g 1-m2)
(Table 1).
3.2. Vegetation-spatial pattern and species richness
An examination of relationships between dependent variables is
important in the context of determining grazing impact, because
the effects of the major species on species composition can be used
to infer species suppression and diversity. Vegetation patterns were
explained by changes in plant composition. Regression analyses
(quadratic and linear) for species richness versus plant category
cover, F. valesiaca cover versus forb, B. tomentellus, T. sipyleus covers,
and T. sipyleus cover versus grass cover are illustrated in Fig. 2.
Significant quadratic relationships were found between forb cover
and species richness in both ungrazed (R2 ¼ 20.5%, P < 0.05) and
grazed treatments (R2 ¼ 22.6, P < 0.05) (Fig. 2a), while grass cover
was statistically unrelated to number of species (Fig. 2b). Shrub
cover in the exclosure was negatively associated with species
richness (R2 ¼ 43.6%, P < 0.001), whereas it had a quadratic
relationship in villages’ pastures (R2 ¼ 28.5%, P < 0.01) (Fig. 2c).
T. sipyleus cover had a quadratic relationship with species richness
in grazed plots (R2 ¼ 27.2%, P < 0.05) (Fig. 2d). There was a quadratic
relationship between F. valesiaca cover and forb cover in ungrazed
plots (R2 ¼ 34.7%, P < 0.01) (Fig. 2e), and T. sipyleus cover was
similarly related to grass cover (R2 ¼ 45.0%, P < 0.01) (Fig. 2f). There
was a negative correlation between F. valesiaca cover and B.
tomentellus cover in grazed plots (R2 ¼ 23.8%, P < 0.01) (Fig. 2g), and
between F. valesiaca cover and T. sipyleus cover in ungrazed plots
(R2 ¼ 22.4%, P < 0.01) (Fig. 2h).
The isotopic correlograms for spatial patterns with Moran’s I,
based on plant basal cover of F. valesiaca and T. sipyleus in ungrazed
and grazed plots, are illustrated in Fig. 3. F. valesiaca cover in all
plots, except G1, were spatially autocorrelated at different scales,
changing from negative to positive (Fig. 3a). In U3, this alteration
occurred sharply at short distances. In G1 (flat area), the autocorrelation of F. valesiaca cover was near zero (Fig. 3a). T. sipyleus cover
had relatively high autocorrelations in plots U2 and G3, and was
relatively low in U1 and almost all negative in G1 (Fig. 3b).
T. sipyleus cover had quite high autocorrelations, changing at short
distance in plots U2 and G3 (Fig. 3b). In flat range areas, autocorrelation tended to be low, and was especially apparent for F. valesiaca cover in G1, and for T. sipyleus cover in U1.
3.3. Vegetation–environment relationship
Results of the RDA are presented in Appendix 2 and Fig. 4 (triplot). In ungrazed and grazed plots cumulative variances of the first
and second axis of the RDA explain 53.7% and 45.9% of total
variance, respectively. In both treatments the first canonical axis
was significant (P < 0.001). The RDA subdivided species and
samples (quadrats) into cluster groups (Fig. 4).
In the exclosure (Fig. 4a), samples taken in the flat plot
(U1-quadrats from 1 to 10) were placed on the right upper quarter of
the tri-plot, while quadrats sampled in sloping range areas (U2 and
U3-quadrats from 11 to 30) were mostly positioned on the left half of
Table 1
Percent basal cover actual and normalized with Log10(X þ 1) transformation of total plant, and some major plant species, and other vegetation attributes, species richness,
Festuca valesiaca biomass and steam in ungrazed (U) and grazed (G) plots.
Plant categories and species
Treatment
n
Total plant
U
G
U
G
U
G
U
G
U
G
U
G
U
G
U
G
U
G
U
G
30
30
30
30
30
30
29
30
27
30
30
30
20
29
16
5
19
7
12
0
Other vegetation attributes
Treatment
n
Actual value
Normalized value (X SEM)
P-value
Species richness (number of species in 1-m2)
U
G
U
G
30
30
27
30
13.3
11.4
110.6
61.9
1.148 0.017
1.086 0.014
1.852 0.098
1.671 0.063
0.006
Forbs
Grasses
Shrub
Festuca valesiaca
Bromus tomentellus
Thymus sipyleus ssp rosulans
Genista albida
Globularia orientalis
Gypsophila sphaerocephala
Festuca biomass (g 1-m2)
Actual cover (%)
21.82
16.23
3.25
1.63
8.08
5.41
10.49
9.19
8.00
4.66
0.30
0.25
3.62
8.26
1.77
0.43
12.89
5.76
1.77
0.00
Normalized cover (X SEM)
P-value
1.328 0.029
1.205 0.031
0.537 0.053
0.371 0.037
0.856 0.061
0.753 0.042
0.890 0.076
0.930 0.051
0.856 0.064
0.685 0.047
0.11 0.01
0.09 0.01
0.57 0.06
0.91 0.04
0.38 0.06
0.15 0.02
0.98 0.10
0.78 0.09
0.34 0.08
0.00 0.00
0.005
n ¼ Number of plots with plant species; SEM ¼ standard error of the mean; bold P-value ¼ significant differences; – ¼ data not normalizable.
0.013
0.163
0.669
0.036
0.150
0.010
0.001
0.126
–
–
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a
b
20
Species richness
Species richness
18
16
14
12
10
8
2
0
1
2
3
4
5
6
7
8
18
16
14
12
10
U: Y=13.62+0.0006X-0.00305X2,
R2=1.3%, P=0.841(Q)
G: Y=11.88+0.0389X-0.01886X2,
R2=9.2%, P=0.576(Q)
8
2
U: Y=11.00+1.322X-0.1101X , R =20.5%, P<0.05(Q)
G: Y=9.214+2.432X-0.4152X2, R2=22.6%, P<0.05(Q)
6
20
6
9
0
5
10
Forb cover (%)
c
d
U: Y=15.24-0.1815X, R 2=43.1%, P<0.001(L)
G: Y=14.91-0.8423X+0.03598X2, R2=28.5%, P<0.01(Q)
20
20
25
U: Y=13.36+0.1218X-0.01927X 2, R2=2.2%, P=0.608(Q)
G: Y=14.64-0.7658X+0.03212X2, R2=27.2%, P<0.05(Q)
20
18
18
16
Species richness
Species richness
15
Grass cover (%)
14
12
10
8
6
16
14
12
10
8
6
0
10
20
30
40
0
50
5
10
Shrub cover (%)
e
f
9
U: Y=5.866-0.8096X+0.03934X 2, R2=34.7%, P<0.01(Q)
G: Y=0.8117+0.3720X-0.02977X2, R2=8.1%, P=0.140(Q)
7
Grass cover (%)
Forb cover (%)
8
15
20
T. sipyleus cover (%)
6
5
4
3
2
25
U: Y=11.87-2.710X+0.1662X 2, R2=45.0%, P<0.01(Q)
G: Y=7.040-0.4084X+0.01837X2, R2=3.3%, P=0.407(Q)
20
15
10
5
1
0
0
0
5
10
15
0
20
5
0,8
B. tomentellus cover (%)
0,7
U: Y=0.310+0.00034X-0.000206X 2, R2=1.4%, P=0.738(Q)
G: Y=0.3727-0.02690X, R2=23.8%, P<0.01(L)
h
15
20
0,6
0,5
0,4
0,3
0,2
0,1
U: Y=4.479-0.2857X, R 2=22.4%, P<0.01(L)
G: Y=6.109+0.9982-0.08928X2, R2=4.9%,
P=0.254(Q)
20
T. sipyleus cover (%)
g
10
T. sipyleus cover (%)
F. valesiaca cover (%)
15
10
5
0
0,0
0
5
10
15
F. valesiaca cover (%)
20
0
5
10
15
20
F. valesiaca cover (%)
Fig. 2. Regression-fitted lines (quadratic (Q) and linear (L)); the species richness versus (a) forb, (b) grass, (c) shrub, and (d) T. sipyleus, and the basal covers of (e) F. valesiaca versus
forb, and (f) T. sipyleus versus grass, and F. valesiaca versus (g) B. tomentellus and (h) T. sipyleus in ungrazed and grazed pastures. Ungrazed data are solid lines and closed circles and
grazed data are dashed lines and open circles.
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Fig. 3. Isotopic correlograms; illustrating the spatial patterns with Moran’s I, based on plant basal cover of a. Thymus sipyleus and b. Festuca valesiaca, (1) ungrazed (U1, U2, U3) and
(2) grazed (G1, G2, G3) plots.
axis 1. According to sample (quadrats) species positions, three groups
appeared. Group I contained Helianthemum ledifolium, P. bulbosa,
Alyssum pateri ssp pateri, and Scabiosa rotata, which are species that
regularly occur in the flat ungrazed range area. Group II consisted of
T. sipyleus, Onobrychis armena, Hedysarum cappadocicum, Helianthemum canum, Jurinea pontica, Euphorbia macroclada, Galium
incanum, Hedysarum varium, and G. sphaerocephala, which are species
mostly associated with sloping rangelands of the exclosures. Group III
contained Stipa lessingiana, Vinca herbacea, Teucrium polium, and
Paracaryum racemosum var. racemosum, which only occurred in
sloping plots of grazing exclosures. Species placed outside of these
groups occurred in both sloping and flat areas. In ungrazed plots,
F. valesiaca was the most abundant species in flat areas, whereas
T. sipyleus was the most abundant species in sloping sites.
In grazed plots (G1, G2 and G3), the quadrats were placed mainly
according to species and samples (Fig. 4b). Plots in flat rangeland
(G1-quadrats from 1 to 10) appeared on the left bottom quarter of
the tri-plot, and samples taken in sloping rangelands (G2, G3quadrats from 11 to 30) were placed on the right half of the tri-plot.
Two groups appeared in the tri-plot. Group I consisted of F. valesiaca,
Minuartia hamata, and T. sipyleus, located in flat pasturelands. Group
II consisted of Alyssum minus var minus, Convolvulus holosericeus,
Minuartia anatolica, unidentifiable-forb, G. incanum, and Centaurea
virgata, mostly located in sloping rangelands.
In ungrazed areas, the flat plots had higher potassium and
phosphorous content, while sloping plots had greater lime and pH
content and water saturation (Fig. 4a). In grazed areas, flat plots had
greater potassium, phosphorous, lime, and organic matter content
in soil samples, whereas sloping pastures possessed more soil salt
and water saturation values and had deeper soils (Fig. 4b).
4. Discussion and conclusions
This study was an attempt to address the issue of heavy grazing
effects on spatial patterns of plant communities in steppe pastures.
Degradation of rangelands is becoming an increasing concern in the
Central Anatolian steppe. To investigate the effect of grazing on spatial
patterns, our study included data from grazed and ungrazed rangeland
areas. An assumption of our study was that before an exclosure was
built, the vegetation and soils were similar (Stohlgren et al., 1999).
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H.K. Fırıncıoğlu et al. / Journal of Arid Environments 73 (2009) 1149–1157
Fig. 4. Triple plots of species, samples (quadrats) and environmental variables of
Redundancy Analysis (RDA) in (a) ungrazed and (b) grazed plots. Abbreviations: A)
Species: AJCH (Ajuga chamaepitys), ALPA (Alyssum pateri ssp pateri), ALMI (Alyssum minus
var minus), ANCR (Anthemis cretica ssp anatolica), ANMA (Androsace maxima), ASDE
(Astragalus densifolius ssp. densifolius), BICA (Unidentifiable-forb), BIOT (Unidentifiableforb), BRTO (Bromus tomentellus), CEVI (Centaurea virgata), CRCR (Crupina crupinastrum),
COHO (Convolvulus holosericeus), EUMA (Euphorbia macroclada), FEVA (Festuca valesiaca), KOCR (Koeleria cristata), MIAN (Minuartia anatolica), MIHA (Minuartia hamata),
HELE (Helianthemum ledifolium), HECA (Hedysarum cappadocicum), HEKO (Helianthemum canum), HEVA (Hedysarum varium), GLOR (Globularia orientalis), GYSP
(Gypsophila sphaerocephala), GAIN (Galium incanum), GEAL (Genista albida), MIAN
(Minuartia anatolica), MOAU (Moltkia aurea), PAKU (Paronychia kurdica), PARA (Paracaryum racemosum var. racemosum), POBU (Poa bulbosa), ROYA (Unidentifiable-forb),
STLE (Stipa lessingiana), SCRO (Scabiosa rotata), SACR (Salvia cryptantha), STHO (Stipa
holosericea), ONAR (Onobrychis armena), JUPO (Jurinea pontica), THSP (Thymus sipyleus
ssp rosulans), TEPO (Teucrium polium), VIHE (Vinca herbacea). B) Environmental variables:
Soil depth-cm (SOILDEP), Water saturation – % (WATSAT), Total salt – % (SALT), pH, Lime
content – % (LIME), Potassium content – kg ha1 (K2O), Phosphorous content – kg ha1
(P2O5), Organic Matter – % (OM), Slope-degree (SLOPE).
In this study substantial differences in species richness were
measured between ungrazed and grazed areas. Grazing has been
reported to decrease species richness in nutrient-poor terrestrial
systems and increase it in nutrient-rich systems (Proulx and
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Mazumder, 1998). In the nutrient-poor soil in this study, protection
increased species richness; 14.3% more species were recorded in
the exclosure compared to continuously grazed pastureland, indicating that heavy grazing reduced species richness. In comparison
with the exclosure, year-round grazing altered plant composition
through decreasing total plant (25.6% less), forb (50.2% less), grass
(33.1% less), and F. valesiaca cover (41.8% less) while it substantially
increased T. sipyleus cover (56.2% more). The variation in the
abundance of major species between ungrazed and grazed plots
was particularly pronounced for F. valesiaca and T. sipyleus which
are common species in deteriorated range areas with shallow soil
and low fertility (Fırıncıoğlu et al., 2008).
The reaction of a plant species to grazing depends upon the
ability to compensate for lost biomass and the relative impact of
removal on competitive relationships in the canopy (Milchunas and
Lauenroth, 1993). Variations in plant species abundance reflect
vegetation patterns, whereas change in major species cover is a key
factor in shaping the responses of the plant community to grazing.
The response of a plant community to grazing is an indication of
vegetation resistance to disturbance. Milchunas et al. (1988) suggested that arid conditions promote the development of grazing
resistance traits. Our analysis of vegetation community composition suggested greater impacts of grazing on forbs than on grasses.
However, forbs were favored in grazed situations when they were
prostrate, fast spreading rosette plants (e.g., C. holosericeus and
O. armena) or upright with defense mechanisms such as chemical
compounds (e.g., E. macroclada). The major shrub species (G. orientalis, G. albida, and G. sphaerocephala) were also reduced in
grazing areas. T. sipyleus provides an incremental structural
complexity to grazing lands. As a dominant dwarf shrub it is less
likely to decrease under grazed versus ungrazed conditions, and in
this study it had twice as much cover in grazed compared to
ungrazed areas. In this context, T. sipyleus can be regarded as an
indicator species of disturbance for its extreme persistence in
intensively grazed areas.
Alteration in grassland structure and diversity, due to grazing,
are primarily functions of productivity and evolutionary grazing
history (Milchunas and Lauenroth, 1993), possibly determining
species composition and prevailing functional groups that characterize the plant communities of these steppe rangelands. In this
study grasses, especially tiller forming grasses (e.g., F. valesiaca,
P. bulbosa, and B. tomentellus), in contrast to forbs, were encouraged
by grazing because of their compensatory re-growth from basal
meristems even on nutrient-poor soils they are able to tolerate to
repeated biomass loss and trampling (Crawley, 1992; McNaughton,
1982; Peintinger, 1999).
Noy-Meir et al. (1989) observed tall perennial and tall annual
grasses dominating ungrazed sites, whereas small, prostrate
annuals were abundant in heavily grazed sites, as cited in Milchunas
and Lauenroth (1993). When a disturbance occurs regularly and
over a long period, plant populations can evolve a strategy enabling
them to survive the disturbance, and there are many examples of
adaptations to permanent or periodically unfavorable conditions
(Margalef, 1974), as cited in Fernandez et al. (1993). In this study,
short plant canopies and generally prostrate growth could be
interpreted as adaptations to grazing disturbance. These adaptive
devices are illustrative of F. valesiaca and T. sipyleus. F. valesiaca is
a perennial dominant short grass in heavily grazed barren rangelands, that forms a sod, has erect stems 10–60 cm tall, and is cold
and drought tolerant (Gençkan, 1983). F. valesiaca, an increaser,
is somewhat preferred by grazing animals (Anonymous, 2005).
T. sipyleus Boiss. occurs as a semi-shrub invader in the weedy
species dominated pastures. During winter sheep graze its shoots
(Bakır, 1987), and it has a prostrate stature with strongly scented
white or pink flowers and 3–6 mm long leaves (Anonymous, 2005).
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Changes in dominant species due to grazing can be related to
similar independent variables such as changes in species composition (Milchunas and Lauenroth, 1993). The significant relationship
of F. valesiaca cover with T. sipyleus and B. tomentellus covers indicate the importance of spatial patterns in determining vegetation
assemblages (Fig. 2g, h).
Forbs, with the greatest number of species, had a quadratic
relationship with species richness in both treatments. Species
richness decreased when forb cover was at its lowest and highest
amounts (Fig. 2a). This quadratic variation in species richness has
been attributed to the coexistence of contrasting growth forms
(Wilson and Tilman, 2002) along successional (Denslow, 1980),
wetland (Shipley et al., 1991), and mountain side gradients (Wilson,
1994). There were proportionally less (44%) forb species in grazed
areas, where forbs potentially respond more negatively to grazing
than graminoids because they have a reduced ability to regenerate
(Wilmans, 1998).
An increase in the shrub cover in the ungrazed areas was
associated with decreased plant species richness indicating that
shrubs were suppressing plant diversity. In grazed areas species
richness was greatest when shrub cover was at both lowest and
highest abundance (Fig. 2c) which is opposite the response
measured with forb cover.
In grazed plots, T. sipyleus cover had a quadratic pattern similar
to shrub cover (Fig. 2d), with its lowest and highest cover resulting
in increased species richness. In ungrazed plots, increased and
decreased cover of T. sipyleus was associated with increases in grass
cover. At a cover of 8% T. sipyleus, grass cover was at a minimum of
near 1% basal cover (Fig. 2f).
In the exclosure, moderate covers of F. valesiaca were associated
with the minimum values of forb cover (Fig. 2e), with increases or
decreases in F. valesiaca cover resulting in increases in forb cover. In
the grazed areas, as F. valesiaca cover increased B. tomentellus basal
cover declined and, in the ungrazed areas, as F. valesiaca cover
increased T. sipyleus cover decreased (Fig. 2g, h). The two negative
associations (e.g., F. valesiaca versus other species) suggest
competitiveness for resources, whereas a positive association
would suggest that the two species coexist and share the same
resources. Adler and Lauenroth (2000) reported that spatial
patterns generated by individual plant interactions are apparent
only in ungrazed sites. These interactions are somewhat evident in
our study where there are significant relationships among the
dominant species in addition to dominant species and species
richness that were mostly determined in the ungrazed plots. This
relationship might be because of spatial processes, which are not
disturbed in the absence of grazing, but could be overwhelmed due
to the selection pressure and mortality caused by grazing. Biomass
may better reflect differences in community structure (Guo and
Rundel, 1997). F. valesiaca produced 44.3% more biomass in
ungrazed plots, where it was negatively associated with decreased
T. sipyleus cover (Fig. 2h).
Given the geographical homogeneity of the study area, it
is probable that soil properties related to slope are controlling
vegetation pattern. As Wei and Christina (1995) explained it, spatial
assemblages of the vegetation appear to be the rule rather than
exception in many vegetation types and plant communities. Moran’s I results in the isotopic correlograms showed that dominant
components of vegetation tend to be non-randomly distributed in
sloping range areas of both treatments and to be aggregated
spatially (Fig. 3). F. valesiaca, in the flat plots of grazed treatments,
and T. sipyleus, in the flat plots of ungrazed treatments, were
spatially homogenous in distribution. Based on the definition of
spatial heterogeneity, higher spatial dependence in sloping
pastures represents an increase in spatial heterogeneity relative to
topography and grazing. Therefore, spatial differentiation of plant
communities, which are based on species occurrences in an array of
sample plots, depends on the spatial variation of environmental
properties (Ehrenfeld et al., 1997). While T. sipyleus is extremely
dominant in grazed treatments, patches of F. valesiaca dominated in
sites where T. sipyleus cover decreased in ungrazed range areas. Our
results revealed that a key difference in patterns between treatments is the occurrence of F. valesiaca patches and reduced T.
sipyleus cover in ungrazed compared to grazed plots. We determined that there was considerable spatial variability in vegetation.
This variability may be typical for these steppe rangelands largely
as a result of topography and soil. These factors appear to have an
impact on the dominance of plant communities where F. valesiaca
and T. sipyleus are the prevailing species.
Environmental gradients are commonly and often implicitly
assumed to control the distribution of plant species and plant
associations (Kent and Coker, 1992), as cited in Ehrenfeld et al.
(1997). In both treatments, RDA successfully subdivided the
species and samples into groups according to their abundance and
occurrences in the samples (Fig. 4). The investigation of vegetation
gradients enables an initial understanding of plant variation in
relation to environmental gradients. The degree to which variation
in environmental properties affects the structure of vegetation
may thus reflect the consistency of spatial patterns. In protected
pastures F. valesiaca and T. sipyleus were situated on the opposite
sides of the axis 1 (flat or sloping rangelands, respectively)
(Fig. 4a). In grazed plots, the vegetation gradient was inversely
established to that of the ungrazed, and F. valesiaca and T. sipyleus
were closely located to each other in the same quarter (in flat
plots) of the tri-plot (Fig. 4b).
Vegetation patterns were explained by the increasing abundance of F. valesiaca cover in ungrazed plots and T. sipyleus cover in
grazed plots. F. valesiaca was correlated with forbs and T. sipyleus
covers in the exclosures, while it was negatively correlated with
B. tomentellus cover in grazed plots. These relationships appear to
be casual. In fact, F. valesiaca dominated the successional trajectory
in the protected areas, which is consistent with F. valesiaca acting as
an invasive transformer species. For future changes following
continued exclusion of grazing, we hypothesize that F. valesiaca
cover will probably continue to increase in the study area and
ultimately influence ecosystem function. Because species richness
may have a negative trend with age of exclosures in some ecosystems (Bokdam and Gleichman, 2000; Olff and Ritchie, 1998), we
conclude that long-term exclusion of grazing may not necessarily
increases species richness.
Based on this study four broad conclusions can be made: (1)
F. valesiaca and T. sipyleus had a significant effect in shaping the
vegetation pattern, (2) reduction in species richness with
increasing covers of shrubs was evident in ungrazed pastures,
indicating an influence on plant succession, (3) the spatial heterogeneity of both F. valesiaca and T. sipyleus was obvious for both
treatments, demonstrating an unstable vegetative pattern in grazed
treatments and successional changes in protected treatments, and
(4) both F. valesiaca and T. sipyleus are useful as suppressive indicator species for rangeland assessments.
5. Practical implications
Heavy grazing negatively affects the quality of steppe vegetation, from both a conservation and production point of view. The
plant communities of the Central Anatolian steppe rangelands are
typically species poor, with the dominance of a few short grasses
and dwarf shrubs. This rangeland vegetation is of considerable
importance both agriculturally and ecologically, as in other arid
land grazing systems throughout the world. The keys to maintaining sustainability are to preserve a substantial cover of
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H.K. Fırıncıoğlu et al. / Journal of Arid Environments 73 (2009) 1149–1157
palatable species, and to prevent the dominance of species that are
unproductive or that alter community structure. Understanding the
ecology of the species present in the rangeland is critical to predicting the effects of management. In arid systems like the Central
Anatolian steppes, at high grazing intensities, dwarf shrubs and
short grasses increase at the expense of tall perennial grasses and
forbs. In long-disturbed range vegetation, dominated with F. valesiaca and T. sipyleus, it is expected that proper grazing management
can reverse the ever worsening degradation situation, following
natural successional processes that will ultimately result in an
improved rangeland vegetation condition.
Acknowledgements
This study was funded from the core budget of The Central
Research Institute for Field Crops. Authors wish to thank Mr. Hasan
Uzunoğlu and Mr. Levent Doğruyol for their excellent assistance
with fieldwork, and Dr. Hüseyin Tosun and Dr. Aydan Ottekin for
their administrative support.
Appendix. Supplementary material
Supplementary data associated with this article can be found in
the online version, at doi:10.1016/j.jaridenv.2009.05.012.
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