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Transcript of Carbon mineralization of leaves from four Ethiopian agroforestry species under laboratory and field...
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Applied Soil Ecology 35 (2007) 193–202
Carbon mineralization of leaves from four Ethiopian agroforestry
species under laboratory and field conditions
Tesfay Teklay a,*, Anders Nordgren b, Gert Nyberg b, Anders Malmer b
a Wondo Genet College of Forestry, Debub University, P.O. Box 128, Shashemene, Ethiopiab Department of Forest Ecology, Swedish University of Agricultural Sciences, SE-901 83 Umea, Sweden
Received 23 September 2005; received in revised form 23 March 2006; accepted 17 April 2006
Abstract
Green leaves of Albizia gummifera G.F. Gmel, Milletia ferruginea (Hochst.) Baker, Cordia africana Lam., and Croton
macrostachyus Del. were collected from trees growing in fields in southern Ethiopia, and used in laboratory and field experiments.
The aim was to investigate differences in C mineralization parameters related to differences in the leaf qualities of the respective
species, and to examine effects of amending soil (Mollic Andosols) with leaves plus N, P, or N + P on decomposition and microbial
activity. Rates of carbon mineralization were determined by measuring CO2 evolution using an automated respirometer (Respicond
V) in the laboratory and an infrared gas analyser in the field studies. When no nutrients were added about 11–44% and 10–42%, on
average, of the initial C applied as leaves was mineralized within a month in the laboratory and field respiration experiments,
respectively. In both experiments, the rates of C mineralization were highest for C. macrostachyus leaves, followed by M. ferruginea
then A. gummifera and lowest for C. africana leaves. Hence the results of our short-term laboratory study agreed well with those of
the field experiment. Microbial activity (e.g. specific growth rate) was generally stimulated by supplemental nutrients. However, in
most cases cumulative C mineralization was either slightly depressed or not significantly affected by supplemental N or N + P.
Similarly, P addition caused either a reduction in C mineralization or had little effect. Hence the quality of the leaves was more
influential than the nutrient additions. The absence of a pronounced respiratory response to the added N and/or P might be due to
increased microbial C-use efficiency, to adequate amounts of these nutrients being available from the leaves and/or soil, or both.
Further in-depth studies using soils of differing soil fertility are needed to test these hypotheses.
# 2006 Elsevier B.V. All rights reserved.
Keywords: CO2 respiration; Ethiopia; Indigenous trees; Leaf substrates; Microbial activity; Supplemental nutrients
1. Introduction
In agroforestry systems, organic materials enter the
soil system via green manure, litter fall, root detritus
and exudates that are subsequently decomposed by
heterotrophic micro-organisms to obtain C and nutrients
for growth and maintenance. The decomposition of
plant materials in soil is affected by biotic and abiotic
* Corresponding author. Tel.: +251 46 1109900;
fax: +251 46 1109983.
E-mail address: [email protected] (T. Teklay).
0929-1393/$ – see front matter # 2006 Elsevier B.V. All rights reserved.
doi:10.1016/j.apsoil.2006.04.002
factors, one of the most important of which is their
biochemical quality, i.e. litter-quality (Swift et al.,
1979). The initial concentrations of soluble C and N,
lignin and polyphenols are generally recognised as the
main litter-quality variables controlling rates of
decomposition (Palm, 1995; Heal et al., 1997).
However, the importance of any one (or any combina-
tion) of these constituents may vary depending on the
process, timeframe, or type of plant material involved
(Palm, 1995; Palm and Rowland, 1997).
Measurement of weight loss, often using litterbags,
is the most extensively used method to assess rates of
litter decomposition, especially in long-term decom-
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202194
position studies in the field (e.g. Berg et al., 1984;
McClaugherty and Berg, 1987; Couteaux et al., 1995).
Another approach is based on measuring the CO2
evolved as a product of decomposition to estimate
microbial activity and amounts of litter decomposed
(Marstorp, 1997). From the respiration kinetics
obtained following addition of an organic material,
parameters such as substrate-induced respiration (SIR),
lag-phase lengths and specific microbial growth rates
(m) can be calculated (Nordgren et al., 1988; Stenstrom
et al., 1991; Marstorp, 1996a). Since such parameters
differ considerably between litter components, they can
be used to characterise litter undergoing decomposition
(Marstorp, 1997). Respiration of added C, as green
manure, also correlates well with initial N mineraliza-
tion (Nyberg et al., 2002) and to quality parameters of
the added material, i.e. C/N ratio and lignin/N ratio and
initial N content of the leaves (Mafongoya et al., 2000).
Respiration-based approaches using plant materials
have been applied in a number of studies (e.g. Beare
et al., 1991; Marstorp, 1996a,b; McTiernan et al., 1997;
Schomberg and Steiner, 1997; Bernhard-Reversat,
1998; Sall et al., 2003). There have also been a limited
number of similar studies from Africa that have focused
on plant materials derived from agroforestry species
(e.g. Okeke and Omaliko, 1992; Nyberg et al., 2000,
2002). However, few studies with fine temporal
resolution have concentrated on the short-term
dynamics of microbial activity during the initial phase
of decomposition (e.g. Nyberg et al., 2000, 2002).
The availability of nutrients from the native soil pool
or added inorganic nutrients is presumed to affect
microbial activity and decomposition parameters
(Hobbie and Vitousek, 2000; McGroddy et al., 2004),
especially during the initial phase of decomposition
when nutrient immobilization due to microbial uptake is
considered to be high. Several studies have found
increases in decomposition and microbial activity after
addition of N (Kelly and Henderson, 1978; Goyal et al.,
1999) or P (Cleveland et al., 2002). In contrast, others
have found either decrease in these variables after
addition of N (Soderstrom et al., 1983; Fisk and Fahey,
2001) and P (Kelly and Henderson, 1978) or no effect of
external N/P inputs (Prescott, 1995; Sall et al., 2003;
McGroddy et al., 2004). However, comparison of the
above studies is problematic due to differences in the
sites, soils, climate, plant species, substrate qualities
and nutrients (types and amounts) considered, methods
used and temporal resolution of the measurements.
In this paper, we present the findings of laboratory
and field studies on the short-term decomposition
dynamics of plant materials of varying qualities using
high-resolution CO2 measurement approaches. Green
leaves were used for this purpose from four agroforestry
tree species commonly found in fields in southern
Ethiopia: Albizia gummifera G.F. Gmel, Milletia
ferruginea (Hochst.) Baker, Cordia africana Lam.,
and Croton macrostachyus Del. The potential value of
green manure derived from these species has been
investigated in previous studies using litterbags
(Gindaba et al., 2004; Teklay and Malmer, 2004).
The specific aims of the present study were to
investigate the differences in C mineralization rates
of leaves from the four species, representing different
leaf qualities, under laboratory and field conditions, and
to examine the effect of amending the soil (Mollic
Andosols) with leaves plus N, P, or N + P on
decomposition and microbial activity parameters.
2. Materials and methods
2.1. Description of site and soil
The study site is at Wondo Genet, which is located in
southern Ethiopia (780601400N and 3883701800E, 1800–
2100 m above sea level) and has a sub-humid tropical
climate with mean annual rainfall of 1240 mm and mean
monthly temperature of 20 8C. The major soils in the
study site are Mollic Andosols (FAO, 1988) formed from
late tertiary volcanic parent materials (Anon., 1973).
Andosols are important in localised areas in East Africa
(Buresh et al., 1997) and are common and agriculturally
important in the rift valley region of Ethiopia and some
highlands bordering it. They are generally considered to
be P-fixing, but some soils which have received volcanic
ash in recent geological history contain high levels of
available P and thus are relatively fertile (reviews by
Buresh et al., 1997). The soil in the study site had the
following properties in the top 0–20 cm depth: a pH
(H2O) of 6; organic C of 30 g kg�1; total N of
3.1 mg g�1; Bray-II extractable, plant available P of
12 mg kg�1; total P of 515 mg kg�1; oxalate extractable
Al of 1.5 and Fe of 3.3 mg g�1; CEC of 24 cmolc kg�1;
bulk density of 1.01 g cm�3; and a loamy texture with
46% sand, 32% silt, and 22% clay. Details of the soil
chemical analyses can be found in Teklay and Malmer
(2004) and Teklay et al. (2005). For the laboratory
experiment (Experiment 1), field-moist soils were sieved
in the field at Wondo Genet, put in ice-boxes and stored
frozen (�18 8C) until analysis. The soils were thawed
overnight and adjusted to a moisture tension of�25 kPa,
approximating to 50% of the water holding capacity,
which is considered optimal for microbial activity (Ilstedt
et al., 2000).
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202 195
Fig. 1. Daily rainfall and temperature (maximum and minimum) at
Wondo Genet during September to October 2004. The horizontal bar
shows the time-span of the short-term field experiment.
About 20 g of soil was weighed into each of 250 ml
plastic jars and incubated in an automatic respirometer
(Respicond V, Nordgren Innovations AB, Sweden)
(Nordgren, 1988). Measurements of CO2 evolution
were taken hourly at a constant temperature of 20 8C for
10–15 days before supplemental nutrient additions (see
below) and for 30 days thereafter. The laboratory study
(Experiment 1) was done at Umea, Sweden, while the
field study (Experiment 2) was done at Wondo Genet,
Ethiopia. Temperature and rainfall were monitored
daily during the short-term field study (Fig. 1).
2.2. Plant materials used
Four agroforestry species (Albizia gummifera, Mill-
etia ferruginea, Cordia africana, and Croton macro-
stachyus) were selected for the present study because of
their abundance in fields and along farm-boundaries in
the area, the diversity in their chemical composition and
their potential as sources of carbon and nutrients. A.
gummifera and M. ferruginea are leguminous while C.
africana and C. macrostachyus are non-legumes. Fresh
Table 1
Initial leaf chemical composition (in mg g�1 DM) of leaves from four agro
Species Sol. C Ct Nt P
A. gummifera 124.5 (4.0) 492.8 (0.7) 34.0 (0.4) 1.9
M. ferruginea 136.3 (29.8) 464.7 (2.7) 35.5 (0.9) 1.6
C. africana 132.0 (9.2) 451.0 (1.2) 21.1 (0.1) 2.9
C. macrostachyus 112.2 (0.9) 425 (2.6) 35.6 (0.3) 5.0
Sol. C: water extractable C; Ct: total C; Nt: total N; P: total phosphorus; P
leaves including petioles, and the rachis of A.
gummifera and M. ferruginea, were collected from
mature trees of each species. Leaves from various stages
of pre-abscission development were included. Fresh
intact leaves and air-dried leaves were used in the field
and laboratory experiments, respectively. To determine
their chemical composition, fresh leaves were first air-
dried, oven-dried at 50 8C, and then ground to<0.1 mm
size. Water-soluble C was determined, after extracting
0.2 g samples in 100 ml deionised water (Thomas,
1977), by analysing the filtrate in a TOC-5000 solution
analyser (Shimadzu Inc., Columbia, MD); total C and N
were determined using a CN analyser (Europa
Scientific, ANCA-NT Systems); and total P was
determined colorimetrically using the ammonium
acetate–molybdate ascorbic acid method (Murphy
and Riley, 1962). Cellulose and lignin were determined
by the acid-detergent-fibre (ADF) method (Van Soest,
1963), and soluble polyphenols were extracted using
70% acetone and determined gravimetrically by the
ytterbium precipitation method (Reed et al., 1985).
Chemical properties of leaves of the four species
considered are presented in Table 1.
2.3. Experiment 1: adding green leaf C to soils
amended with N, P, or N + P
We used 0.5 g of dry leaf powders of each of the four
species (per 20 g of soil) as sources of C in combination
with 7.0 mg (NH4)2SO4-N or 1.4 mg KH2PO4-P or a
mixture of the two to obtain overall ratios of C/N < 20
and C/P < 200. The amount of leaf material, which
corresponded to 15 Mg dw ha�1 of biomass application
in the field, was meant to provide sufficient amount of C
for microbial respiration (see Fig. 2). Soils that had not
been amended with nutrients (only leaves added)
provided the controls. Nutrients were added in the
form of solutions containing enough water to suffi-
ciently moisten the dry leaf powders added. The
experimental design was completely randomised with a
factorial treatment structure and three replicates, i.e.
four species � four nutrient treatments � three repli-
forestry species (numbers in parenthesis show SD; n = 3)
Cellulose Lignin PL C:N ratio
(0.1) 177.6 (8.3) 264.6 (3.8) 124.7 (4.8) 14.5 (0.2)
(0.1) 215.2 (1.1) 164.7 (0.9) 63.6 (0.3) 13.1 (0.3)
(0.2) 241.7 (5.1) 199 (4.2) 86.3 (2.9) 21.3 (0.1)
(1.0) 245.0 (13.2) 61.7 (3.5) 74.0 (5.3) 11.9 (0.1)
L: soluble polyphenols.
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202196
Fig. 2. A model of soil respiration kinetics before and after addition of
a C-substrate. The arrow indicates the time when the substrate was
added. BR, SIR, L, and m are as defined in Section 2.5; Rmax:
maximum respiration. The ordinate is assumed to be on a logarithmic
scale (adapted from Nordgren et al., 1988).
cates. After respiration rates had stabilized (about 10
days after the start of incubation) to a basal level, i.e.
CO2 from native soil C, the supplemental nutrients were
added to the soil, thoroughly mixed by gently shaking
the jars and the measurements were restarted.
2.4. Experiment 2—field study using green leaves
The field experiment, on a farm that had been
previously cropped with maize (Zea mays L.), had a
completely randomised design with four replications.
The experimental plots (replicates) were 1.0 m2 in area.
The treatments were additions of fresh leaves of the four
species and a control (no leaf inputs). All plots were
ploughed, cleaned of weeds and prepared a week before
addition of the treatments. Fresh leaves of each of the
four species were incorporated into the top 10 cm of the
1.0 m2 treatment plots at 5.0 Mg dw ha�1, an amount
considered realistic for field application. The control
plots were also ploughed to 10 cm depth in order to
account for the ‘ploughing effect’ which the treated
plots were subjected to while incorporating the leaves.
Then the CO2 evolution rate (g CO2 m�2 h�1) was
measured using an EGM-4 infrared gas analyser
connected to an SRC-1 closed system chamber (PP
Systems, 2002), which had an internal diameter of
10 cm. Five measurements per day were taken from
each plot, starting 1 day before applying the treatments
to measure basal respiration, and continued for the
following six consecutive days. After the sixth day,
measurements were taken at days 26 and 31. The field
study was conducted during September and October of
2004 (see Fig. 1).
2.5. Data analysis
For both experiments, we calculated cumulative
CO2-C mineralization from rates of CO2 evolution
obtained after deducting basal respiration or respiration
from the controls. For the laboratory experiment, basal
respiration was calculated as the average of 40 hourly
measurements before substrate addition when respira-
tion was considered to have stabilized (Ilstedt et al.,
2003). Substrate-induced respiration was the stable
initial respiration shortly after substrate addition
(Nordgren et al., 1988). Specific growth rate constant
(m) was determined from the exponential part of the
respiration curve using the relationship for growth-
associated product formation by exponentially growing
micro-organisms presented by Stenstrom et al. (1991),
i.e.
d p
dt¼ qN0emt (1)
where dp/dt is the rate of microbial product ( p) forma-
tion (the rate of CO2 evolution in this case), q the
specific activity, N0 the initial concentration of
micro-organisms; and t time. Then, m was calculated
as the slope of the regression of the logarithmically
transformed respiration rate measurements during the
exponential phase against time, i.e. ln(dp/dt) (Marstorp,
1996a; Stenstrom et al., 1991) (see Fig. 2). Estimates of
m from the equation were not affected by whether or not
the values for q and N0 were known. Lag time (L) was
defined as the time between substrate addition and the
start of the resulting exponential increase of the respira-
tion rate (Nordgren et al., 1988) (see Fig. 2). Analysis of
variance was done using SPSS, version 12 (SPSS Inc.,
Chicago, IL) and the significance of differences
between treatments was evaluated with Least Signifi-
cant Difference tests. Spearman’s rank correlation ana-
lysis was performed to examine relationships between
litter-quality variables and microbial respiration vari-
ables. Unless stated otherwise, differences were
regarded as being significant if the probability level
( p) was less than 0.05.
3. Results
3.1. Between-species differences in C
mineralization under laboratory conditions
Temporal patterns of CO2 evolution from decom-
posing leaves of the four tree species after amendment
with different nutrients are shown in Fig. 3. The amount
of leaf C respired (g CO2-C kg�1 of added leaf C)
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202 197
Fig. 3. Temporal pattern of CO2 evolution from the decomposition of green leaves of (~) C. macrostachyus; (*) M. ferruginea; (*) A. gummifera;
and (~) C. africana under laboratory conditions in soils from Wondo Genet (n = 3; bars represent standard error of difference between means or
SED) (NB: part of the curves beyond 120 h not shown).
during the 1-month period varied considerably and
significantly ( p < 0.05) among the tree species
(Table 2). Without supplemental nutrients, about 11–
44% of the C contained in the applied leaves of the tree
species was mineralized to CO2, the proportions being
highest for C. macrostachyus leaves, followed by M.
Table 2
Mean values* of total C respired as percentage of initial green leaves C adde
week laboratory incubation (n = 3)
Nutrients added Tree species
A. gummifera C. african
None 20.1a 11.0a
N 18.4c 11.0a
P 20.5a 10.1b
N + P 19.4b 11.2a
SED 0.22 0.23
* Values within a column with the same superscripts are not statistically d
from one another, across all the nutrient treatments).
ferruginea then A. gummifera and lowest for C. africana
leaves (Table 2).
Analysis of the effects of the plant substrates on
microbial growth (activity) parameters, when no
nutrients were added, showed that M. ferruginea and
C. macrostachyus induced faster microbial growth rates
d to Mollic Andosol soil amended with/without external nutrients in 4-
a C. macrostachyus M. ferruginea
43.7a 26.8a
37.2c 28.7a
41.5b 28.2a
37.2c 24.3b
0.51 1.00
ifferent ( p > 0.05); (NB: all four species were significantly different
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202198
Table 3
Mean values of specific microbial growth rate obtained after adding green leaves from four agroforestry tree species to Mollic Andosol soils, with/
without mineral fertilizers in a laboratory incubation (n = 3)a
Nutrient added Species m (h�1) Species Nutrient added m (h�1)
0 (None) A. gummifera 0.123c A. gummifera 0 0.123c
C. africana 0.071d +N 0.144b
C.macrostachyus 0.155b +P 0.151b
M. ferruginea 0.168a +NP 0.176a
SED 0.005 SED 0.006
+N A. gummifera 0.144b C. africana 0 0.071c
C. africana 0.089c +N 0.089b
C.macrostachyus 0.156b +P 0.085bc
M. ferruginea 0.184a +NP 0.114a
SED 0.006 SED 0.005
+P A. gummifera 0.151c C.macrostachyus 0 0.155a
C. africana 0.085d +N 0.156a
C.macrostachyus 0.161b +P 0.161a
M. ferruginea 0.193a +NP 0.161a
SED 0.004 SED 0.004
+NP A. gummifera 0.176b M. ferruginea 0 0.168b
C. africana 0.114d +N 0.184ab
C.macrostachyus 0.161c +P 0.193a
M. ferruginea 0.196a +NP 0.196a
SED 0.004 SED 0.007
a For each nutrient or species treatment, values within a column with same letter superscripts are not statistically different ( p > 0.05); columns 3
and 6 show statistical comparisons among species and among nutrients, respectively.
Table 4
Spearman’s rank correlation coefficients (r) between initial leaf
chemistry variables and microbial respiration parameters after adding
green leaves to Mollic Andosols in a 4-week laboratory incubation
based on hourly measurements of CO2
Leaf quality variables Microbial respiration variables
Ct respireda m
Sol. C �0.581 (0.047) �0.161 (0.617)
Total C �0.389 (0.212) 0.014 (0.966)
N 0.858 (<0.001) 0.774 (0.003)
P 0.193 (0.549) �0.382 (0.221)
Cellulose 0.130 (0.688) �0.154 (0.632)
Lignin �0.753 (0.005) �0.571 (0.053)
Polyphenols �0.592 (0.043) �0.760 (0.004)
C/N ratio �0.949 (<0.001) �0.732 (0.007)
Lignin/N ratio �0.914 (<0.001) �0.732 (0.007)
PL/N ratio �0.760 (0.004) �0.928 (<0.001)
(LG + PL)/N ratio �0.942 (<0.001) �0.739 (0.006)
Values within parentheses show probability levels (n = 12).a Total respired C as percentage of initially applied green leaf C.
(m) than A. gummifera and C. africana leaves
(Table 3). Similar to the cumulative C respiration,
the maximum respiration rate (Rmax) was highest for
C. macrostachyus and lowest for C. africana (Fig. 3).
In addition, the cumulative C respired and specific
growth rate (m) were positively correlated with total N
and negatively correlated with the lignin and poly-
phenol contents, and the C/N, lignin/N, polyphenol/N
and [lignin + polyphenol]/N ratios of the leaf sub-
strates (Table 4).
3.2. Effects of N and P amendments on C
mineralization under laboratory conditions
Nutrient input and the type of nutrient had significant
effects on C mineralization (Table 2), but there were
also significant interactions between leaves and added
nutrients. In comparison to the control (i.e. no nutrients
added), supplemental N or N + P mostly depressed the
cumulative C respired. Similarly, supplemental P either
depressed the cumulative percent C respired or had little
effect. Overall, nutrient effects were not as pronounced
(Table 2, Fig. 3). However, the specific growth rate (m)
was enhanced by the addition of any of the nutrients (or
nutrient combinations) for leaves of all the species
except C. macrostachyus (Table 3).
3.3. Field measurements of C mineralization from
applied fresh leaves
The total C respired (g m�2), due to leaves added,
during the 1-month period in the field study differed
significantly among the plant species (Fig. 4); an
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202 199
Fig. 4. Time course of CO2 evolution from the decomposition of fresh
green leaves from four agroforestry trees under field conditions at
Wondo Genet (n = 4; bars represent SED).
amount of C equivalent to 42, 17, 15 and 10% of the
total C initially applied as leaves from C. macro-
stachyus, M. ferruginea, A. gummifera and C. africana,
respectively, was mineralized to CO2 (Fig. 5b) (NB:
respiration between days 7 and 26 was interpolated
using first order decomposition kinetics). Addition of C.
macrostachyus leaves differed significantly from all
other treatments, and adding leaves of all four species
differed from the control with respect to the cumulative
amounts of CO2-C (g m�2) respired.
The maximum respiration rates (Rmax), which
followed a similar pattern, occurred 3 days after
incorporating fresh leaves in the soil, with mean
values ranging from 0.71 g CO2-C m2 h�1 (control) to
2.0 g CO2-C m2 h�1 (C. macrostachyus) (Fig. 4). On
the 26th day of measurement and afterwards, the
respiration subsided to values close to the basal level
Fig. 5. Cumulative C respired during 1 month as a percentage of total C i
ferruginea; (*) A. gummifera; and (~) C. africana under: (a) laboratory an
(i.e. 0.12 g CO2-C m2 h�1). A downward shift in
respiration was also observed during the second day,
which we attributed to heavy rainfall during the
preceding evening/night.
4. Discussion
4.1. Leaf quality and supplemental nutrient effects
The results from our short-term (1-month) laboratory
and field studies clearly indicated that the C losses from
the leaves of the species examined differed markedly,
ranging between 10 and 44%. The chemical quality of
the leaves was the major factor controlling C losses,
while supplemental nutrients were less influential.
Strong correlations were also found in our study
between litter-quality and respiration variables, which is
in accordance with findings of various other investiga-
tions in which litter-quality has been related to
decomposition and nutrient release in the tropics (Palm,
1995; Mafongoya et al., 2000; Seneviratne, 2000;
Nyberg et al., 2002; Teklay and Malmer, 2004). In the
present study, the C/N ratio, total N, and measures of
carbon quality, particularly polyphenol and lignin
contents, and their ratios with N, seem to be the quality
factors with the strongest influence on total C respired
and microbial growth rates (m) (Table 2). This could
explain why adding C. macrostachyus leaves, which
also had the lowest C/N ratio of the four species,
resulted in the highest %C respired values. On the other
hand, relatively high contents of polyphenols and lignin
in the two legumes (despite their high N contents), and a
combination of low nitrogen content and high lignin and
polyphenol levels in the leaves of C. africana might
explain the observed results. However, we should note
nitially applied in green leaves from (~) C. macrostachyus; (*) M.
d (b) field conditions (n = 3 and 4, respectively; bars represent SED).
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202200
here that although the polyphenol measurements we
obtained using the method described by Reed et al.
(1985) were good enough for comparison within the
present study, they may not be directly comparable with
measurements from studies employing other commonly
used methods for analysing polyphenols (e.g. Anderson
and Ingram, 1993).
Overall, in all the species except C. africana, an
amount of C close to or even more than the total soluble
C was respired during the 1-month period, suggesting at
least in the case of C. macrostachyus, that leaf
constituents other than water-soluble compounds, e.g.
cellulose, started to decompose. The detection of more
than one respiration peak following the addition of
leaves of all species except A. gummifera (Fig. 3),
possibly due to decomposition of different C compo-
nents (substrates) of the leaves, provides a further
indication of this possibility, since the m and lag-phases
associated with each component would differ (Mar-
storp, 1996b), resulting in a respiration pattern with
multiple peaks. The different peaks observed in our
study might also represent what Marstorp (1996b)
described as ‘kinetically defined fractions’, but we
could not test this hypothesis since our study was not
designed to include water-extracted leaves.
There could be several reasons for the apparent
absence of nutrient effects on cumulative C respired,
despite the enhanced microbial activity (as indicated by
the increased m) observed in our study. Firstly, a strong
possibility supported by a number of studies, is that the
reduction in respiration could be attributed to C
utilisation tending to be more efficient, due to C being
redirected from waste respiration to microbial growth,
when supplemental nutrients (N and/or P) are added
(Dilly, 1999; Thirukkumaran and Parkinson, 2002;
Schimel and Weintraub, 2003). Using a modelling
approach, Schimel and Weintraub (2003), for instance,
showed that adding a pulse of C to an N-limited system
could increase respiration, while adding N actually
decreased it. They argued that the lack of a respiratory
response by soil microbes to added N does not
necessarily imply that they are not N-limited. We have
also seen a similar phenomenon following the addition
of glucose-C, where total respiration was lower when
both N and P were added than when either one was
added separately (Teklay et al., 2005).
Secondly, sufficient nutrients to meet microbial
needs could already have been present in the leaves and/
or soil, especially since the amount of available P in the
soil we used was relatively high (i.e. 12 mg kg�1).
Although inorganic N contents were not analyzed here,
a recent study on nutrient limitation (Teklay et al., 2005)
found that N was more limiting to micro-biota than P in
the study soil.
Thirdly, increases in pH (e.g. 0.6–1.2 observed in the
soils amended with only leaves, i.e. controls) possibly
due to the consumption of H+ ions during the
decomposition of amino acids, or the release of base
cations from the leaves, might have enhanced nutrient
availability. Increase in pH can also occur as decom-
posing residue or the organic anions released form
complexes with inorganic Al, thereby decreasing Al
solubility in soil solution (Wong et al., 1995).
In some studies (e.g. Fenn and Kirk, 1981; Berg and
McClaugherty, 2003), reductions in decomposition
rates (respiration) have also been attributed to the
repression of lignin degradation in the presence of high
initial amounts of N, but the duration of our study might
have been too short for this phenomenon to be of any
significance. Other studies (Prescott, 1995; Hobbie and
Vitousek, 2000) have put forth the possibility that more
N may be immobilised per unit of CO2 evolved due to
‘luxury uptake’ by micro-organisms when N is
abundant. Generally, while most of the aforementioned
studies and a number of investigations reviewed by Fog
(1988) have observed reductions in rates of decom-
position or respiration due to nutrient (especially N)
addition, several others have observed increases (e.g.
Adedeji, 1986; Priess and Folster, 2001; Allen and
Schlesinger, 2004; Conde et al., 2005).
4.2. Field respiration study and conformity with the
laboratory study
The C mineralization values from our field and
laboratory experiments generally showed similar trends
and were in good agreement with each other, although
the laboratory conditions were more tightly controlled
and the soil was frozen prior to its use. The only marked
differences were that decomposition of A. gummifera
and M. ferruginea leaves seemed to be slower in the
field study and that M. ferruginea leaves decomposed
significantly more than A. gummifera leaves in the
laboratory study (Fig. 5a and b). These differences
might have been due to our use of ground leaves (with
more surface area) and intact leaves in the laboratory
and field experiments, respectively. While drying green
leaves might reduce decomposition rates, grinding the
leaves might increase their surface area and promote
microbial activity (Oglesby and Fownes, 1992). In
general, the 10–42% average C losses we found in the
field study are lower than those reported by Nyberg et al.
(2002) who used a d13C natural abundance technique
and estimated C losses of 70–90% for Sesbania sesban.
T. Teklay et al. / Applied Soil Ecology 35 (2007) 193–202 201
However, our results are comparable to the 30–40%
they obtained for Grevillea robusta green manures in a
40-day field incubation. Nevertheless, the figures in our
study (obtained by deducting control values) should be
treated with caution as they might underestimate the
contribution from the decomposing leaves to the hourly
CO2 respiration measurements. The contribution from
‘endogenous C’, after adding green leaves, could be
lower than the values recorded in the control plots
because the decomposers could have shifted from using
the relatively poor quality endogenous C to the higher
quality added green leaves as a C source. A similar
explanation was forwarded by Fontaine et al. (2003),
who postulated that a ‘priming effect’ occurs due to
competition for energy and nutrients between micro-
organisms specialized in the decomposition of fresh
organic matter and those feeding on polymerised soil
organic matter.
5. Conclusions
The C mineralization results obtained from our
short-term laboratory study agreed well with those from
the field experiment. Our study indicated that, for the
soil and site we examined, the quality of the leaves had a
much stronger influence on the decomposition para-
meters than supplemental nutrients, although the
latter stimulated microbial activity. The absence of a
pronounced respiratory response to added N and/or P
might be due to adequate amounts of these nutrients
being available from the leaves and/or soil, or to
increased C-use efficiency, or both. Further in-depth
study using soils of contrasting soil fertility are needed
to test these hypotheses.
Acknowledgements
This study was funded by Swedish International
Development Agency (Sida) through a long-term
institutional cooperation between Wondo Genet Col-
lege of Forestry (WGCF) and the Swedish University of
Agricultural Sciences (SLU). We thank WGCF for
providing the first author access to the required
facilities, Dr. J. Blackwell for editing the language
and the anonymous reviewers for their helpful com-
ments.
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