Upload
others
View
3
Download
0
Embed Size (px)
Citation preview
Green mulch decomposition and nitrogen release from leaves of two Inga
spp. in an organic alley-cropping practice in the humid tropics
Humberto A. Leblanca,*, Pekka Nygrenb,1, Robert L. McGrawa
aDepartment of Agronomy, University of Missouri, 210 Waters Hall, Columbia, MO 65211, USAbCenter for Agroforestry, University of Missouri, Columbia, MO, USA
Received 27 August 2004; received in revised form 13 April 2005; accepted 10 May 2005
Abstract
Inga edulis Mart and Inga samanensis Uribe are promising yet little studied legume trees for use in agroforestry on acidic soils. The
objective of this study was to analyze the decomposition and N release processes of green mulch from these species. Litterbags filled
with leaves from each species were placed on the ground in an organic maize (Zea mays L.) alley-cropping experiment at the time of
maize sowing and collected every 2 weeks over a 20 week period, and measured for dry matter, N, hemicellulose, cellulose, and lignin
content. Three types of models were applied to the data, according to the characteristics of each component, to analyze the
decomposition dynamics of whole leaves and leaf components: a negative exponential decay function, an inverted Michaelis–Menten
function, and a linear regression. Initial decay of I. samanensis mulch was faster than I. edulis mulch. However, the recalcitrant fraction
was about half of the initial litter mass in both Inga spp. Hemicellulose disappeared almost completely from the litter during the 20-
week incubation period, while no significant lignin decay occurred. After a slow start, cellulose partially decayed following linear
kinetics. The half-life of labile N, estimated as a Michaelis–Menten parameter, was 10 weeks in I. samanensis and ca. 24 weeks in
I. edulis litter. Polyphenol content was significantly higher in I. edulis. Litter of I. edulis and I. samanensis may be classified as ‘low-
quality’ and ‘medium-quality’ mulch, respectively. Due to the relatively large recalcitrant mulch fraction, both Inga spp. may promote C
sequestration and long-term N accumulation in soil.
q 2005 Elsevier Ltd. All rights reserved.
Keywords: Inga edulis; Inga samanensis; Decay models; Litterbags; Mulch quality; Polyphenol content
1. Introduction
Depletion of soil organic matter is a serious threat to
agricultural production and food security in many tropical
regions. Decreases in soil organic matter leads to a decline
in agricultural and biomass productivity, poor environmen-
tal quality, soil degradation and nutrient depletion, and
finally to food insecurity (Lal, 2004). This regressive
process concerns both large-scale commercial agriculture
that targets short-term benefits in the global market place
0038-0717/$ - see front matter q 2005 Elsevier Ltd. All rights reserved.
doi:10.1016/j.soilbio.2005.05.012
* Corresponding author. Current address: EARTH University, Agr-
onomy, Mercedes de Guacimo, Limon, 4442-1000 San Jose, Costa Rica.
Tel.: C506 713 0000; fax: C506 713 0001.
E-mail address: [email protected] (H.A. Leblanc).1 Present address: Department of Forest Ecology, University of Helsinki,
P.O. Box 27, 00014 Helsinki, Finland.
and small-holder agriculture where the tradition of
sustainable agriculture is broken under population pressure,
rapidly changing natural and social environment, and
degrading soils. Reverting the degradation of tropical soils
calls for sustainable agricultural practices including no-till
farming, application of compost and mulch, legume cover
crops, and agroforestry (Lal, 2004).
Organic agriculture that is defined as ‘a holistic
production management system, which promotes and
enhances ecosystem health, including biological cycles
and soil biological activity’ (FAO, 2002) is a promising
alternative for many tropical cropping systems in Latin
America. The annual value of organic market in the USA
was $10 billions in 2002, and it is doubling every 2–3 years.
World organic trade grows by 20–30% per year (Geier,
2003). Since organic farmers cannot compensate for a loss
in soil fertility by inputs of industrial fertilizers, the building
and maintenance of soil fertility is a central objective of
organic agriculture (FAO, 2002). Green mulch produced by
Soil Biology & Biochemistry 38 (2006) 349–358
www.elsevier.com/locate/soilbio
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358350
pruning legume trees in agroforestry is a good source of N
(Mafongoya and Nair, 1997; Aihou et al., 1999; Tossah
et al., 1999) that is compatible with organic agriculture.
Green mulch also increases soil organic matter reserves,
promotes C sequestration, and recycles other nutrients (Lal,
2004).
A prerequisite for developing management strategies for
legume green mulch is a clear understanding of the factors
that govern the decomposition process (Vanlauwe et al.,
1997). Nitrogen content (Vanlauwe et al., 1997), polyphenol
content (Palm and Sanchez, 1990), polyphenol to N ratio
(Oglesby and Fownes, 1992), lignin plus polyphenol to N
ratio (Handayanto et al., 1994; Vanlauwe et al., 1997), and
C to N ratio and lignin to N ratio (Cadisch and Giller, 1997;
Vanlauwe et al., 1997) of tree tissue used for green mulch
have been associated with its decomposition and N release
rates.
Pruning residues used for green mulch can be classified
based on N release rate (Mafongoya et al., 1997). ‘High-
quality’ prunings have an N content higher than 2.5%,
contain less than 15% lignin, and less than 4%
polyphenols (Palm et al., 2001). However, these materials
may release N too quickly to be taken up completely by
the crop (Mafongoya et al., 1997). If lignin content is
higher than 15%, polyphenol higher than 3%, and N less
than 2.5%, N can be immobilized (Palm et al., 2001).
‘Low-quality’ plant materials release N too slowly to meet
crop demands, but they may have a longer residual
influence in the soil. ‘Medium-quality’ mulch is expected
to release N in synchrony with crop demand (Mafongoya
et al., 1997).
Inga spp. (Mimosaceae) are potential components of
low-input sustainable agriculture because they have high
biomass productivity and a tolerance to acid soils (Hands,
1998). In addition to providing nutrients, green prunings
of Inga spp. form a permanent mulch cover that helps to
control weeds and breaks the erosive force of heavy
rains of the humid tropics. Latin American farmers
have traditionally used Inga edulis Mart as a shade tree
for coffee (Coffea arabica L.) and cacao (Theobroma
cacao L.) plantations. I. edulis has recently attracted
attention in agroforestry because of its rapid growth in
poor acidic soils (Hands, 1998). Many other Inga spp.
have the characteristics needed for use in agroforestry,
like Inga samanensis Uribe. It grows naturally near rivers
and in the borders of wet forests. This species has
potential as a shade tree and for firewood production
(Zamora and Pennington, 2001).
The objectives of this experiment were to (1) determine
the decomposition rate of I. edulis and I. samanensis leaves
in an organic alley-cropping system under humid tropical
conditions, (2) study the fate of various compounds in
leaves during the decomposition process, and (3) fit
mathematical models for analyzing and predicting leaf
decomposition and N release rate of these two species.
2. Materials and methods
2.1. Study site
The study was conducted at the EARTH University
Organic Farm in conjunction with a maize (Zea mays L.)
alley-cropping experiment using I. edulis and I. samanensis
as hedgerow trees. EARTH University is located in the
Caribbean coastal plain of Costa Rica (10810 0 N, 83837 0 W,
95 m a.s.l.). The climatic zone is classified as a premontane,
wet forest, basal belt transition (Bolanos and Watson, 1993).
Annual rainfall averages 3464 mm and is evenly distributed
throughout the year. Annual mean temperature is 25.1 8C.
The soil is classified as Thaptic Hapludand with the
following characteristics: pH 5.12 in water; organic C
3.47%, N 0.59% (Kjeldahl); exchangeable acidity 0.3 cmol
(C) kgK1; Ca 4.2, Mg 1.4, and K 0.15 cmol (C) kgK1; P
14.2 mg kgK1 (modified Olsen); Cu 28.1, Fe 109, Zn 18,
and Mn 5.8 mg kgK1.
The maize alley-cropping experiment was established in
1999. Seedlings of I. samanensis and I. edulis were planted
in separate 25!25 m plots, in east–west oriented rows at
4-m between-row and 0.5-m within-row density totaling
5000 trees haK1. Experiment was arranged in randomized
complete blocks with 4 replicates per species. The trees
were pruned approximately every 6 months leaving 5–10%
of the foliage. Maize was sown immediately after pruning at
the rate of 40,000 plants haK1. Maize rows were 1 m apart
and two seeds were sown every 50 cm within the row. Two
maize cycles were cropped on the site before this study.
The green mulch decomposition experiment was con-
ducted from May to September 2002. A 5-month period was
selected because it was 1-month longer than the 4-month
maize intercropping with Inga trees. In May 2002, leaves of
I. samanensis and I. edulis were collected from the alley
cropping experiment and sun-dried in a glasshouse for
3 days. Litterbags measuring 25!25 cm with 2-mm mesh
were filled with 42 g (dry mass) of I. edulis or I. samanensis
leaves. Litterbags were placed on the ground in the center of
the alleys of the plot where the material was collected at the
time of maize sowing. Each of the four replicates consisted
of 10 litterbags. One litterbag per species and replicate was
collected every 2 weeks from week 2–20. Trees were
allowed to regrow, but were lightly pruned 6 weeks after
maize sowing to reduce shading. Only small branches
overhanging the alleys were removed and the material was
left in the alleys. This is a normal practice in alley cropping,
and the microclimate and soil conditions during the
experiment were representative to the studied cropping
system.
2.2. Chemical analysis
Leaf material remaining in each litterbag was dried at
60 8C for 72 h to determine dry matter. The leaves were
ground to pass through a 686-mm screen. Nitrogen
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358 351
concentration was determined using the standard Kjeldahl
technique (Bremner, 1996).
Lignin, cellulose, and hemicellulose were determined at
the Animal Nutrition Laboratory at CATIE, Costa Rica,
using methods described by Lopez et al. (1992), which are
similar to those described by Van Soest (1963). Neutral
detergent fiber (NDF) and acid detergent fiber (ADF)
contents were determined. Hemicellulose was calculated as
NDF minus ADF. The ADF, which contains cellulose,
lignin, and the mineral fraction, was treated with KMnO4 to
oxidize the lignin. Lignin was calculated as ADF minus the
sample after oxidation. The residual sample was ashed in a
furnace muffle to remove the cellulose, leaving the mineral
fraction. Cellulose was determined as the sample after
oxidation minus the mineral fraction. Polyphenols were
extracted from leaves in a 50% aqueous methanol solution
for 1 h in a 80 8C water bath, analyzed by the Follin–Denis
method, and reported as percentage of catechol (Anderson
and Ingram, 1998).
2.3. Mathematical and statistical analysis
The experimental design was a split-plot in time
(Cochran and Cox, 1992), with species as main plots and
times as subplots. There were four replicates per species at
each sampling date.
Three formulations of the negative exponential decay
function were fitted to the data. The double exponential
form (Paul and Clark, 1996) estimates the sample mass of
component i remaining after incubation time t, Mi(t)
MiðtÞ Z Ml expðKkltÞCMr expðKkrtÞ (1)
where Ml is initial mass of labile fraction; kl is the
decomposition coefficient of Ml; Mr is initial mass of
recalcitrant fraction; kr is the decomposition coefficient of
Mr.
In the case of an incubation time that is too short for
observing significant changes in the recalcitrant fraction, or
when part of a decaying component is immobilized, Eq. (1)
simplifies to a single exponential decay model with
intercept (SEI model):
MiðtÞ Z Ml expðKkltÞCMr (2)
This formulation means that decomposition of Mr is not
considered or it refers to the immobilized fraction of the
decaying substrate. For a component that decays completely
within the observation time, a simple negative exponential
decay function applies (SE model):
MiðtÞ Z Ml expðKkltÞ (3)
The inverted Michaelis–Menten model (MM model) can
also be applied in the case where Eq. (2) or (3) applies. The
parameters of the MM model have different interpretations
than those of negative exponential decay function, and can
thus be applied to the same data set for analyzing different
aspects of the decay process. The remaining mass of a
sample or component i after incubation time t, Mi(t) is
estimated
MiðtÞ Z M0 1 Kait
bi C t
� �(4)
where M0 is the initial mass of component i and ai and bi are
Michaelis–Menten parameters for component i. The
equation is derived from enzyme or microbial growth
kinetics, in which case ai is interpreted as the maximum
reaction or growth rate and bi is the substrate concentration
in which half of ai is reached (Thornley and Johnson, 1990;
Holmberg, 1981). The inversion calls for a redefinition of
the parameters. When applied to a data set that also follows
kinetics of Eq. (2), i.e. there is a sizable recalcitrant or
immobilized fraction, ai may be redefined as the labile
fraction or equivalent to ratio of Ml in Eq. (2) to initial
sample mass, and bi is the time when half of the labile
fraction decays.
The relationships of the parameters of Eqs. (2) and (4)
are:
Ml zaM0 (5)
Mr zð1 KaÞM0 (6)
In a decay process that follows Michaelis–Menten type
kinetics as described by Eq. (4), the mass of component i
that decays in time b, Mi(b), is:
MiðbÞ Z aM0=2 (7)
Eqs. (1)–(4) were fitted to the data of decomposition of
whole leaves or their components according to the behavior
of each specific component (Paul and Clark, 1996). Simple
linear regression was applied for the decomposition of the
most recalcitrant leaf components, cellulose, and lignin.
The non-linear models were fitted using the Newton least
squares iterative method of SAS v. 8.02 (SAS Institute,
1999). The model type that was applied in each case was
selected according to high r2 value, narrow confidence
interval of parameter values, and equal distribution of
residuals around zero when plotted against incubation time.
Only the best-fit models are shown. The models were fitted
by species. The significance of the differences between the
models fitted by species was tested by the analysis of
residual variance (Mead et al., 2002). The core of the
analysis was to determine if the subsets of data differed so
much that model parameters had to be fitted independently
for both species.
3. Results
3.1. Chemical characteristics of leaves
Leaves of I. samanensis and I. edulis had similar N, total
C, and cellulose contents (Table 1). I. edulis had
Table 1
Average chemical composition (% of dry matter) and average ratios of main chemical components of leaves of Inga samanensis and Inga edulis at the
beginning of field incubation in litterbags
Species Total N Total C C:N Hemicellulose Cellulose Polyph.
(Catechol)
Polyph.:N Lignin Lignin:N (LigninC
Polyph.):N
I. samanensis 2.94 54.8 19.6 19.4 32.0 3.14** 1.1** 29.8 6.71** 7.76**
I. edulis 2.70 54.3 21.7 26.3 33.2 5.02** 2.03** 18.9 11.86** 13.89**
**Statistically significant difference between species (Student’s t-test at p%0.01).
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358352
significantly higher polyphenol content (Student’s t-test
with p%0.01). Ratios related to N release were calculated
using the chemical compounds listed above. I. edulis had a
similar C:N ratio as I. samanesis, but I. edulis had
significantly higher polyphenol:N and (ligninCpolyphe-
nol):N ratios (p%0.01). Lignin:N was the only ratio that was
significantly higher in I. samanensis (p%0.01) (Table 1).
3.2. Leaf decomposition
The analysis of variance for leaf mass in litterbags
showed significant differences between species and weeks
(p%0.01). Mulch of I. samanensis decomposed faster than
mulch of I. edulis. Eq. (1) did not fit adequately to the
litterbag data on total mass loss, because kr was 0 for both
species. Both the MM model (Eq. (4)) and the SEI model
(Eq. (2)) produced a good fit to the data (Tables 2 and 3;
Fig. 1). The analysis of residual variance (Mead et al., 2002)
indicated that the fit of both models differed significantly
between species (p%0.01).
Table 2
Parameter values of the inverted Michaelis–Menten model (Eq. (4)) for predictin
function of incubation time in litterbags under humid tropical conditions
Component Species M0 (g) a
Total mass I. samanensis 41.83 (39.98–43.68) 0
I. edulis 42.09 (41.01–43.16) 0
Hemicellulose I. samanensis 8.288 (7.548–9.028) 0
I. edulis 11.25 (9.915–12.58)
Total N I. samanensis 1.246 (1.187–1.304) 0
I. edulis 1.226 (1.157–1.294) 0
n.s.: non-significant parameter value. The asymptotic confidence interval of each pa
for hemicellulose.
Table 3
Parameter values of the exponential decay equations (Eq. (2) for total mass and tota
samanensis and Inga edulis leaves as a function of incubation time in litterbags u
Component Species Ml (g)
Total mass I. samanensis 20.16 (18.61–21.91)
I. edulis 15.82 (14.59–17.04)
Hemicellulose I. samanensis 6.980 (5.909–8.051)
I. edulis 10.62 (9.043–12.20)
Total N I. samanensis 0.6091 (0.5315–0.6867)
I. edulis 0.5701 (0.3276–0.8125)
N.A.: not applicable to this compound. The asymptotic confidence interval of each
22 for hemicellulose.
The MM and SEI models gave about the same
fractionation to labile and recalcitrant components; i.e.
aM0zMl according to Eq. (5) for total mass (Tables 2 and 3).
The parameter b of MM model showed that half of the labile
fraction decomposed in ca. 6 and 7.5 weeks in litter of
I. samanensis and I. edulis, respectively (Table 2; Fig. 1). The
SEI model indicated an important recalcitrant fraction (Mr)
for I. samanensis, 20 g (49% of the initial sample mass), and
for I. edulis, 26.12 g (62%) (Table 3). Comparison of the
parameter M value with the initial mass of cellulose and
lignin in the litterbags provides a rough means for evaluating
SEI model behavior. The sum of initial cellulose and lignin
mass was 25.9 g in I. samanensis and 21.8 g in I. edulis.
3.3. Decomposition of polysaccharides and lignin
Hemicellulose decayed exponentially during the 20-
week incubation period and disappeared almost completely.
Half of the initial hemicellulose mass decayed in 2.8 and 2.5
weeks in I. samanensis and I. edulis, respectively (Tables 2
g remaining sample mass of Inga samanensis and Inga edulis leaves as a
b (week) r2
.5537 (0.4492–0.6301) 5.983 (3.075–8.892) 0.89
.5035 (0.4492–0.5578) 7.458 (4.930–9.986) 0.95
.8527 (0.7692–0.9362) 2.800 (1.506–4.094) 0.93
1.018 (0.9152–1.121) 2.457 (1.224–3.690) 0.92
.6855 (0.5512–0.8198) 9.752 (4.635–14.87) 0.89
.7881 (0.2537–1.322) 24.43n.s. (K4.360–53.23) 0.72
rameter is given in parentheses; nZ44 for total mass and total N, and nZ22
l N; Eq. (3) for hemicellulose) for predicting remaining sample mass of Inga
nder humid tropical conditions
Mr (g) k (weekK1) r2
20.00 (–) 0.0981 (0.0837–0.1125) 0.87
26.12 (25.00–27.24) 0.1478 (0.1161–0.1795) 0.95
N.A. 0.0856 (0.0601–0.1112) 0.78
N.A. 0.1974 (0.1414–0.2535) 0.87
0.6370 (0.5599–0.7142) 0.1286 (0.0842–0.1730) 0.89
0.6613 (0.3994–0.9232) 0.0714 (0.0103–0.1325) 0.72
parameter is given in parentheses; nZ44 for total mass and total N, and nZ
Fig. 1. Total mass loss (a and b), loss of hemicellulose (c and d), and loss of nitrogen (e and f) from leaves of Inga samanensis (left graphs) and I. edulis (right
graphs) during 20-week field incubation period in litterbags under humid tropical conditions. The trend lines based on inverted Michaelis–Menten model (MM
model; Eq. (4)) and negative exponential models (exp model) are also shown. The exp model is negative exponential model with intercept (SEI; Eq. (2)) for
mass (a and b) and N loss (e and f) and negative single exponential model (SE; Eq. (3)) for hemicellulose (c and d). Note that the y-axis scale is set to show the
range of variation during the 20-week-period, and it starts from 0 only for hemicellulose.
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358 353
and 3; Fig. 1). The MM model and the SE model (Eq. (3))
fitted well to the data on hemicellulose decomposition in
leaves (Tables 2 and 3; Fig. 1). Analysis of residual variance
indicated that the MM models fitted differed significantly
between species (p%0.05) but the SE models were not
significantly different.
The best-fit equation to cellulose decomposition was a
linear regression. The slope was significant for both species
(p%0.01) indicating significant cellulose decomposition
during the field incubation (Fig. 2). The regressions differed
significantly between species (analysis of residual variance
at p%0.05). During the 20-week period, 40 and 28% of
Fig. 2. Linear regression model for cellulose decay in leaves of Inga samanensis (a) and I. edulis (b) during 20-week field incubation period in litterbags under
humid tropical conditions.
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358354
the initial cellulose content disappeared from the leaves of
I. samanensis and I. edulis, respectively.
No apparent changes in lignin content occurred during
the field incubation period. The slope of the linear
regression was not significant for lignin and the r2 was
low, indicating that leaf lignin did not significantly
decompose in 20 weeks.
3.4. Nitrogen release
The analysis of variance for mass of N remaining in leaf
litter showed that there were significant differences between
species and between weeks (P%0.01). More N was released
from the leaves of I. samanensis than from the leaves of
I. edulis. Both MM and SEI models fitted satisfactorily to the
data. The analysis of residual variance indicated that models
fitted by species differed significantly (p%0.05) in both cases.
The MM model gave higher estimates for labile N mass than
the SEI model; i.e. aM0OMl (Tables 2 and 3, respectively).
The parameter b value of MM model for I. edulis was not
significant (Table 2). The confidence interval of b for
I. samanensis was wide, but the value was significant. The
confidence intervals of parameters M0 and a of the MM
model (Table 2) were narrow indicating a reliable fit. The
labile N mass estimated to decay in b week according to
Eq. (7) was 0.427 g for I. samanensis. The observed loss of
N was 0.471G0.065 g 10 weeks. Thus, the estimate for
I. samanensis was within one standard deviation (SD) of the
observed value. The respective calculation was not done for
I. edulis because the b value was not significant.
The confidence intervals of all parameters of the SEI
model were narrow (Table 3). The reliability of SEI model
parameter values can be further evaluated by comparing the
value of the parameter Mr with N content by the end of
the incubation period. The N content retained in the
litterbags over the 20-week period was 0.702G0.077 g for
I. samanensis and 0.866G0.019 g for I. edulis. Thus, the Mr
estimate was within 1SD from the observed mean for
I. samanensis but a clear underestimation for I. edulis
(Table 3).
The decomposition of N compounds in the leaves of
I. edulis started slowly, and the N mass increased
significantly (Duncan’s Multiple Range Test at p!0.05)
from the beginning to weeks 2 and 4 (Fig. 1). Colonies of
fungi were observed in the litterbags, but fungal biomass
was not quantified.
Considering a typical application of green mulch of
5 Mg haK1 containing 145 kg [N] haK1, I. samanensis and
I. edulis would release 68 and 52 kg [N] haK1 in 20 weeks,
respectively (Fig. 3).
3.5. General composition
The changes in major litter components, cellulose, lignin,
and hemicellulose, and N compounds, during the 20-week
field incubation were estimated using the best-fit models for
each component (Fig. 4). The general mass loss from
I. samanensis and I. edulis leaves was mainly due to decay
of hemicellulose, some cellulose, and N degradation. Lignin
was an important litter component, but it was not
significantly affected by microbial decomposition within
20 weeks.
Carbon release from decomposing mulch was estimated
using the C content of hemicellulose, cellulose and organic
N compounds, and their decay rates estimated according to
the MM model. Considering an average mulch application
of 5 Mg haK1, I. samanensis and I. edulis would release 909
and 876 kg [C] haK1 in 20 weeks, respectively (Fig. 3).
4. Discussion
4.1. Decay of total C, polysaccharides, and lignin
The litterbag incubation experiment was designed for
simulating the fate of green mulch of I. samanensis
Fig. 3. Cumulative release of carbon (a) and nitrogen (b) from 5 Mg of
green mulch of Inga samanensis and Inga edulis estimated according to the
inverted Michaelis–Menten model (Eq. (4)). This amount of mulch has
initial N content of 145 kg.
Fig. 4. Changes in mass of main leaf compounds of Inga samanensis (a) and
I. edulis (b) in 20 weeks estimated according to the linear regression for
cellulose (see Fig. 2), and inverted Michaelis–Menten model (Eq. (4)) for
other compounds.
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358 355
and I. edulis after application as green manure for maize in
an organic alley-cropping practice under humid tropical
conditions. Litter decomposition resulted in complete
disappearance of hemicellulose and partial N release and
cellulose decay from the leaves during a maize cropping
period. No significant decay of lignin was observed in 20
weeks. Significant differences between species were
observed in both general decay and N release rate.
A three-step decay model (i.e. the sum of three negative
exponential models), which describes the decomposition of
labile, slowly decomposing, and recalcitrant fractions,
respectively, is often used for analyzing the microbial
decay of organic matter (Paul and Clark, 1996). However,
the SEI model, which includes the initial mass of slowly
decomposing and recalcitrant fraction as a constant
(parameter Mr in Eq. (2)) gave the best-fit to the data in
our case (Fig. 1; Table 3). The fit of the SEI model to
the general decay dynamics of green mulch may be
explained in the light of the behavior of hemicellulose,
cellulose, and lignin that formed a total of 81.2 and 78.4% of
dry matter of I. samanensis and I. edulis litter, respectively.
Although not always considered as part of the labile fraction
due to its complexity (Paul and Clark, 1996), decay of
hemicellulose followed the SE model, and it decomposed in
20 weeks. Cellulose decay started slowly (Fig. 2), but over
the 20-week field incubation period, a linear regression
best described the general trend. However, the slope was
so low that cellulose mostly contributed to the parameter
Mr. Lignin did not significantly decay within 20 weeks in the
litter of either species.
The value of parameter Mr of the SEI model was an
underestimate of 23% for I. samanensis and an overestimate
of 16% for I. edulis of the initial mass of cellulose and
lignin. The differences between the Mr and the observed
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358356
values were partly caused by the fraction of cellulose
decayed in 20 weeks (Fig. 2), and partly by random
variation.
The MM model is a continuous function for describing
the decay of the labile and slowly decomposing fractions. It
has been used successfully to predict the decomposition of
woody legume nodules (Nygren et al., 2000). The MM
model fitted satisfactorily to the data on the disappearance
rate of organic matter from the litter bags and the
hemicellulose decay rate (Table 2). The relationships
between the parameters of SEI and MM model predicted
by Eq. (5) held (Section 3.2). The half-lives of the labile
fraction predicted by the parameter b (Table 2), 6 and 7.5
weeks for I. samanensis and I. edulis, respectively, were
strongly affected by the short half-life of hemicellulose,
2.5–2.8 weeks under the studied humid tropical conditions
(Table 2).
After the 20-week period, an average of 59% of the
initial dry mass remained in litterbags of I. samanensis and
67% of I. edulis. Palm and Sanchez (1990) working under
similar tropical conditions, found that around 70% of the
original leaf mass of I. edulis remained after 20 weeks. They
fitted a SE model for analyzing the decomposition rate of
leaves of three legume tree species, including I. edulis; the
r2 values were higher than 0.83, or slightly lower in
comparison to the fit of the SEI model used in this study.
4.2. Nitrogen dynamics
Both SEI and MM models described satisfactorily the
general trends in N disappearance from the litterbags
(Fig. 1; Tables 2 and 3). Significant differences between
species were observed in N dynamics of decomposing litter.
The parameter b of MM model was not significant for
I. edulis (Table 2) indicating that half of the final labile N
mass did not decay in 20 weeks. Half of the labile N in
I. samanensis litter decayed in approximately 10 weeks. This
indicates considerably faster N release from I. samanensis
litter than from I. edulis litter.
The b of MM model, or the estimate of N half-life in
green mulch, is the most sensitive parameter to short-term
deviations from general process kinetics (Thornley and
Johnson, 1990). Thus, the failure to accurately estimate the
b value, and the slow start of N release from I. edulis may
indicate important N immobilization in microbial biomass.
Colonies of fungi were observed in the litterbags. Fungal
biomass was not quantified in this study, but it is possible
that the fungi immobilized part of N in the litterbags. Fungal
colonies were also observed in I. samanensis, and some N
immobilization may have occurred in both species.
However, further studies are needed for testing the
hypothesis on N immobilization.
Differences in N release rate between I. samanensis and
I. edulis were expected because of the different leaf
polyphenol contents (Palm and Sanchez, 1990). Leaves of
I. edulis that had the lower N release rate contained more
polyphenol (Table 1). Also the ratios of polyphenol to N and
(ligninCpolyphenol) to N were higher for I edulis, the
species with a lower N release rate, as has been suggested in
other studies (Oglesby and Fownes, 1992; Handayanto et
al., 1994; Vanlauwe et al., 1997).
4.3. Agronomic considerations
The leaf decomposition rate of both Inga spp. was slow
in comparison to other tree species commonly used in
tropical agroforestry. In an Erythrina sp., 21% of leaf dry
matter remained after a 20-week-field incubation period
(Palm and Sanchez, 1990). In Gliricidia sepium (Jacq.)
Kunth ex Walp. and Leucaena leucocephala (Lam) De Wit.,
about 60% of leaf dry matter remained after 2-mo-field
incubation period (Handayanto et al., 1994).
The sizable recalcitrant fraction indicates that the green
mulch of the two Inga spp. may promote C sequestration in
soil. Much of the initial loss of ca. 900–1000 kg [C] haK1
from the decaying mulch is probably released to atmosphere
as CO2, but the recalcitrant fraction may bind C to microbial
biomass and soil organic matter for long periods. The
apparent immobilization of N is probably connected to the
slow decay of the recalcitrant fraction (Resh et al., 2002).
The average cumulative N release was 47% for
I. samanensis and 36% for I. edulis in 20 weeks. Litter of
I. edulis and I. samanensis can be classified as ‘low’ and
‘medium-quality’ mulch, respectively, in comparison to
other species used in tropical agroforestry. In other
incubation studies, the percentage of initial N content
mineralized was 14% for Calliandra calothyrsus Meisn.,
32% for L. leucocephala and 40% Sesbania sesban (L)
Merr. in 12 weeks (Oglesby and Fownes, 1992); 5% for
Acacia auriculiformis A. Cunn. ex Benth., 30% for I. edulis,
52% for Cassia siamea Lam, and 72% for G. sepium in 16
weeks (Constantinides and Fownes, 1994).
If we consider an average application of 145 kg [N] haK1
in green mulch, the N release in 20 weeks from I. samanensis
and I. edulis (Fig. 4) would fulfill 2/3 and half, respectively,
of the N-fertilization recommendation of 100 kg [N] haK1
by the Costa Rican Ministry of Agriculture and Animal
Husbandry for the study zone (MAG, 1991). However, the
residual effect of the green mulch that slowly releases N
could result in long-term accumulation of soil N (Kass et al.,
1997).
In organic agriculture where nutrients cannot be added to
the system applying chemical fertilizers, the main task is to
maintain long-term soil fertility by enhancing internal
nutrient cycling. Long-term experiments in Europe have
shown that the effect of the organic amendments increase
with time due to the residual effect combined with the effect
of the amendment applied during the cropping cycle
(Benzing, 2001). Thus, the medium- and low-quality
mulch of I. samanensis and I. edulis that are expected to
slowly increase soil organic matter and N content could be
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358 357
adequate amendments for long-term soil improvement in
organic agriculture.
5. Conclusion
In spite of the favorable environmental conditions, the
leaf decomposition rate of both Inga spp. was relatively
slow in comparison to many tree species used in tropical
agroforestry; 59 and 67% of initial litter mass was retained
over the 20-week incubation period. Although I. edulis litter
contained more labile hemicellulose and less recalcitrant
lignin than I. samanensis, the latter decomposed faster. This
may indicate an important inhibitory effect of the high
polyphenol content of I. edulis on microbial decay.
Hemicellulose disappeared almost completely in 20
weeks. A small but significant fraction of cellulose also
decayed. Because of the relatively large recalcitrant
fraction, green mulch of the two Inga spp. is likely to
sequester C to soil. Nitrogen release rate was greater from
mulch of I. samanensis than from I. edulis. The N release
from a typical green mulch application of both Inga spp.
would only partially fulfill the N-fertilization recommen-
dations for maize during a cropping season, but the slow
release of N may contribute to long-term N enrichment of
the soil.
The MM and SEI models used for analyzing the decay
process satisfactorily described the decomposition
dynamics of these 2 litters with a relatively large recalcitrant
factor during a maize cropping cycle.
Acknowledgements
This research was supported by the Missouri Agricultural
Experiment Station and the EARTH University Research
Committee.
References
Aihou, K., Sanginga, N., Vanlauwe, B., Lyasse, O., Diels, J., Merckx, R.,
1999. Alley cropping in the moist savanna of West-Africa. I.
Restoration and maintenance of soil fertility on ‘terre de barre’ soils
in Benin republic. Agroforestry Systems 42, 213–227.
Anderson, J.M., Ingram, J.S.I., 1998. Tropical Soil Biology and Fertility. A
Handbook of Methods, second ed. CAB International, England. 221 pp.
Benzing, A., 2001. Agricultura organica. Fundamentos para la region
andina. Neckar, Villingen-Schwenningen, Germany. 682 pp.
Bolanos, R.A., Watson, V.C., 1993. Mapa ecologico de Costa Rica, segun
el sistema de clasificacion de zonas de vida del mundo de L.R Holdrige.
Centro Cientıfico Tropical, Costa Rica.
Bremner, J.M., 1996. Nitrogen-total. In: Bartels, J.M., Bigham, J.M. (Eds.),
Methods of Soil Analysis. Part 3. Chemical Methods. SSSA and ASA,
Madison, WI, pp. 1085–1121.
Cadisch, G., Giller, K.E., 1997. Driven by Nature; Plant Litter Quality and
Decomposition. Oxford University Press, UK. 409 pp.
Cochran, W.G., Cox, G.M., 1992. Experimental Designs. Wiley, USA. 611
pp.
Constantinides, M., Fownes, J.H., 1994. Nitrogen mineralization from
leaves and litter of tropical plants: relationship to nitrogen, lignin, and
soluble polyphenol concentrations. Soil Biology & Biochemistry 26,
49–55.
FAO, 2002. Organic Agriculture, Environment and Food Security. In: El-
Hage Scialabba, N., Hattam, C. (Eds.), http://www.fao.org/sd/2003/
EN0102_en.htm.
Geier, B., 2003. An overview and facts or worldwide organic agriculture,
organic trade a growing reality. In: FAO, IFOAM, EARTH Net
fundation (Eds.), Seminar on Production and Export of Organic Fruits
and Vegetables in Asia. FAO, IFOAM, EARTH Net fundation,
Bangkok, Thailand, pp. 9–10.
Handayanto, E., Cadisch, G., Giller, K.E., 1994. Nitrogen release from
prunings of legume hedgerow trees in relation to quality of the prunings
and incubation method. Plant & Soil 160, 248–337.
Hands, R.M., 1998. The use of Inga in the acid soils of the rainforest zone:
alley-cropping sustainability and soil-regeneration. In:
Pennington, T.D., Fernandez, E.C.M. (Eds.), The Genus Inga
Utilization. The Royal Botanic Gardens, Kew, London, England,
pp. 53–86.
Holmberg, A., 1981. On the practical identificability of growth models
containing Michaelis–Menten type nonlinearities. Helsinki Univer-
sity of Technology, Systems Theory Laboratory, Report B 63, 24
pp.
Kass, D.C.L., Sylvester-Bradley, R., Nygren, P., 1997. The role of nitrogen
fixation and nutrient supply in some agroforestry systems of the
Americas. Soil Biology & Biochemistry 29, 775–785.
Lal, R., 2004. Soil carbon sequestration impacts on global climate change
and food security. Science 304, 1623–1629.
Lopez, F., Rodrıguez, G., Kass, M., 1992. Manual de metodos
rutinarios. Laboratorio de nutricion animal. CATIE, Turrialba,
Costa Rica. 52 pp.
Mafongoya, P.L., Nair, P.K., 1997. Multipurpose tree prunings as source of
nitrogen to maize under semiarid conditions in Zimbabwe I. Nitrogen-
recovery rates in relation to pruning quality and method of application.
Agroforestry Systems 35, 31–46.
Mafongoya, P.L., Nair, P.K., Dzowela, B.H., 1997. Multipurpose tree
pruning as a source of nitrogen to maize under semiarid condition of
Zimbabwe. 2. Nitrogen-recovery rates and crop growth as influenced by
mixtures and pruning. Agroforestry Systems 35, 47–57.
MAG, 1991. Aspectos tecnicos sobre cuarenta y cinco cultivos agrıcolas de
Costa Rica. Ministerio de Agricultura y Ganaderıa. Direccion general
de investigacion y extension agrıcola, Costa Rica. 560 pp.
Mead, R., Curnow, R.N., Hastel, A.M., 2002. Statistical Methods in
Agriculture and Experimental Biology. Chapman and Hall, London.
488 pp.
Nygren, P., Lorenzo, A., Cruz, P., 2000. Decomposition of woody legume
nodules in two tree/grass associations under contrasting environmental
conditions. Agroforestry Systems 48, 229–244.
Oglesby, K.A., Fownes, J.A., 1992. Effects of chemical composition on
nitrogen mineralization from green manures of seven tropical legumes
trees. Plant & Soil 143, 127–132.
Palm, C.A., Sanchez, P.A., 1990. Decomposition and nutrient
release patterns of the leaves of tree tropical legumes. Biotropica
22, 330–338.
Palm, C.A., Gachengo, C.N., Delve, R.J., Cadisch, G., Giller, K.E., 2001.
Organic inputs for soil fertility management in tropical agroecosystems:
application of an organic resource database. Agriculture Ecosystems &
Environment 83, 27–42.
Paul, E.A., Clark, F.E., 1996. Soil Microbiology and Biochemistry.
Academic Press, USA. 273 pp.
Resh, S.C., Binkley, S.C., Parrotta, J.A., 2002. Greater soil carbon
sequestration under nitrogen-fixing trees compared with Eucalyptus
species. Ecosystems 5, 217–231.
H.A. Leblanc et al. / Soil Biology & Biochemistry 38 (2006) 349–358358
SAS Institute, 1999. SAS/STAT User’s Guide: Statistics. V.8.02 ed. SAS
Institute, Cary, NC. 846 pp.
Thornley, J.H.N., Johnson, I.R., 1990. Plant and Crop Modeling. A
Mathematical Approach to Plant and Crop Physiology. Clarendon
press, Oxford, UK. 669 pp.
Tossah, B.K., Zamba, D.K., Vanlauwe, B., Sanguinga, N., Lyasse, O.,
Diels, J., Merckx, R., 1999. Alley cropping in the moist savanna of
West-Africa. II. Impact on soil productivity in north-to-south transect in
Tongo. Agroforestry Systems 42, 229–244.
Vanlauwe, B., Sanginga, N., Merckx, R., 1997. Decomposition or four
Leucaena and Senna prunings in alley cropping systems under sub-
humid tropical conditions: the process and its modifiers. Soil Biology &
Biochemistry 29, 131–137.
Van Soest, P.J., 1963. Use of detergents in the analysis of fibrous feeds. II.
A rapid method for the determination of fiber and lignin. Journal of the
Association of Official Analytical Chemists 46, 829–835.
Zamora, N., Pennington, T.D., 2001. Guabas y cuajiniquiles de Costa Rica.
INBIO, Costa Rica. 200 pp.