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Full Length
Research Paper
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Use of models in assessing
the impact of cropping system, land types and suitability on
land degradation in Southwestern Nigeria
Aruleba, J. Olusegun* and Ajayi, A. Samuel
Department of Crop, Soil and Environment Sciences University
of Ado-Ekiti, Ekiti State, Nigeria.
*Corresponding author. E-mail:
arulebaunad@yahoo.com.
Accepted 14 September, 2010 |
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Abstract |
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Two sites (Apomu and Alabata) measuring 10 ha and
representing rainforest and savannah agro-ecological zones,
respectively in South Western Nigeria were chosen to
evaluate the influences of cropping system, suitability and
land types on the degree of land degradation. Multiple
linear step-wise forward elimination regression was use to
measure the interrelationships of the land parameters
measured. The result using the model Y = 0.99 – 0.21CS +
0.10LT + 0.36S showed that for Apomu, the cropping system
contributed 30% to the degradation as indicated by bulk
density. Organic matter, conductivity and land suitability
contributed more than 15% in terms of bulk density and
permeability while land type contributed 17.5 and 2% of the
degradation due to permeability and organic matter
respectively. At Alabata, the model that best describes the
relationships is Y = 0.17 + 0.09CS + 0.23LT + 0.31S.
Cropping system contributed 10 - 12% degradation while land
type contributed between 6.5 – 17.3% due to organic matter
content, ESP, exchangeable K and bulk density. Land
degradation models were also developed for each nutrient
based on the cropping system, suitability and topographic
land types. Appropriate cropping systems such as alley
cropping, organic farming, contour farming, and rotational
cropping etc. are recommended for the defined soil / land
types to minimise land degradation in the study area.
Key words:
Land degradation, cropping system, land type, model and
suitability.
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Introduction |
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The need to achieve sustainable land
use has been an increasing concern to decision and policy makers in
most developing countries and indeed in Nigeria, in the last couple
of decades. This derives from the realization that land degradation
is increasing with use of land and shortened fallow periods that
restore soil fertility just as desertification, menace of soil
erosion, deforestation, commercialisation of land threaten the
future availability of land.
The susceptibility of land to degradation depends on land qualities
and land type (Ciha, 1984; Hannal et al., 1982). Although cropping
system and soil constraints are site specific, their effects and
other derivatives militate greatly against soil sustainability
and have severe ecological, environmental and socio-political
implications. The major cause of soil degradation in the tropics is
soil erosion which occurs at a very high rate when inappro-priate
farming and cultivation practices are adopted into marginal land and
steep hill side (Glantz, 1994; Lal, 1997). Soil productivity
declines rapidly when these soils are eroded, overgrazed or cropped
intensively without appropriate inputs (Abubakar, 1997; Azadu et
al., 1999).
The physical, chemical and biological qualities of the soil
depreciate with use. In the tropics the misuse of land causes an
annual average loss of about 400,000 ha of agricultural land. About
25% of the soil is degraded by water and wind erosion, more than 20%
by salinization and almost 50% by other sources (Snaking et al.,
1996). The degree of land degradation due to misuse of land is very
high and is on the increase (Ayouba, 1994; Aruleba, 2004) hence the
amount of good agricultural land is dwindling away with
time.Presently in Nigeria, there are no substantial studies on
causes of land degradation and there is need for detail information
on degradation due to cropping system, suitability and land type.
Attempts have only been made in some region to study the causes of
erosion and its control as a form of land degradation (Armon, 1984).
Apart from this information on the choice of appropriate cropping
system and / or suitable land use to minimize degradation is not
available.
Information is therefore required on the type and extent to which a
combination of cropping systems and topo-graphy can influence land
degradation, so as to guide farmers in the choice of appropriate
cropping system and suitable land use for a given site with little
or no degradation.
This study examines the influence of cropping system, topographic
land types and suitability on land degradation in two agro
ecological zones of South Western Nigeria, establishes land
degradation models and recommends appropriate cropping systems for
defined soil / land types to minimize land degradation and ensure
soil sustainability.
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Materials and
Methods |
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This study took
place in two agro-ecological zones in Southwestern Nigeria.
Apomu-rainforest and Alabata- forest savannah fringe.
Apomu
Apomu lies
approximately between latitude 7°141 - 7°20 North and longitude
4°151 - 40°20 East. Apomu is in the low land semi
deciduous forest of the humid zone. The dry season extend from
November to March. Monthly rainfall is variable ranging from
204.40 to 5.60 mm, the air temperature range between a minimum
of 28.8 and 34.80°C and solar radiation range between 9.49 cal.
Cm / day to 17.81 cal. Cm day. The geology of Apomu is
pre-Cambrian crystalline metamorphic rock of the basement
complex. The soils belong to the Egbeda Association (Smyth and
Montgomery, 1962). The predominant cropping system types are
fallow, cocoa/oil palm/banana, cassava/yam/maize/ oil palm /
kola, maize / pepper / vegetables. The current vegetation
consists of secondary forest, which has been formed for some 80
to 100 years with oil palm, cocoa and kola as the dominant
crops.
Alabata
Alabata lies
approximately between latitude 7.35 - 7.40 North and longitude
3°45’ - 3°35’ East. Alabata is in the forest – savannah fringe.
The mean monthly rainfall is 213.10 - 3.00 mm, air temperature
is10.35 - 24.50 cal. Cm / day. The geology of Apomu consists of
pre-Cambrian crystalline metamorphic and igneous rocks of the
pre-cambrian basement complex. The impact of cultivation and
burning has affected Alabata vegetation to form forest -
savannah mosaic.
The principal arable crops are maize cassava and vegetables
within the predominant cropping system types of fallow cocoa/oil
palm/banana, cassava/yam/maize, oilpalm/kola, maize
pepper/vegetable. The topographic land types found at both sites
are upper and middle slope, lower slope and valley.
Field
sampling
At each site, an
area of 20 ha was chosen and each site was divided into two
locations of 10 ha each, for a good representative coverage of
the area. Each 10 ha area was divided into 10 units of 1 ha
each. The predominant current land use/cropping systems, land
degradation types and topographic land types were recorded. Bulk
samples consisting of 10 surface [0 – 15 cm] and sub surface [15
– 30 cm] for core samples were collected randomly in each 1 ha
area for physical, chemical, and analysis.
Laboratory analysis
The soil samples
collected were air dried and crushed to pass through a 2 mm
sieve and some of the soil samples were further passed through
0.5 mm sieve for organic matter and total N. Soil samples were
analysed using procedures described in IITA (1979) for the
following parameters.
Particle size distribution analysis was by the hydrometer
method, soil pH was by potentiometrically in water using a 1: 1
soil/water ratio, organic matter was determined by the
dichromate oxidation method, phosphorus by the ammonium
molybdate, blue method.
Exchangeable cations were extracted with INH40AC (pH. 7.0),
calcium and magnesium were determined by atomic absorption
spectrophotometers. Exchange acidity was extracted with 1NKCL.
Effective cation exchange capacity [ECEC] by summation of the
exchangeable cation and the exchange acidity determined. Base
saturation was calculated as the sum of the bases [TEB] divided
by CEC.
Statistical analysis
Data collected on
all parameter taken were ranked following Aruleba (2004) and
subjected to multiple linear step-wise forward elimination
regression analysis, which allows estimation of the relative
contribution of each factor: cropping system, suitability and
land type to land degradation. This involved a step up model,
which adds one variable to the regression equation at a time
(SAS Inst., 1990). As each variable is entered, the model
incorporates a check on the variance test and this continued
until the contribution of the most recently entered variable is
not significant at P < 0.05 by the partial F value. Any
variable, which provides a non-significant contribution, is
removed from the model.
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Results
and Discussion |
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The multiple linear stepwise regression analysis of cropping
system, land type and suitability with land degradation in
the two ecological locations and the contribution of each
factor at 5% level of significance with different
indicators. Land degradation models were developed and
summarized in Tables 1 and 2.
At Apomu (location1) cropping system
contributed 30.3%; land type 9.09% and suitability (oil
palm) 9.09%. They together contributed 43.17% of degradation
due to bulk density. For degradation in terms of
permeability, land type contributed about 17.52% and
suitability (oil palm) 13.97%.
Y = 4.65 – 0.28LT – 0.66S
For humus content, cropping system
contributed 39.47% and land type 2.32%.
Table 1.
Multiple linear stepwise regression analysis of cropping
system, land type, suitability and land degradation at Apomu
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Degradation indicator |
Independent variable |
Apomu 1 |
Apomu 2 |
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Contribution |
Cumulative |
Contribution |
Cumulative |
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% |
% |
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BD |
Cropping system
(CS) |
30.30 |
30.30 |
29.35 |
29.35 |
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Suitability (Oil
palm)(S) |
9.09 |
39.39 |
15.85 |
45.20 |
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Suitability
(Maize) (S) |
- |
- |
11.43 |
56.63 |
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Land type (LT) |
3.78 |
43.17 |
- |
- |
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Permeability |
Cropping system
(CS) |
- |
- |
4.07 |
4.07 |
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Suitability (Oil
palm)(S) |
13.97 |
13.97 |
7.56 |
11.64 |
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Land type (LT) |
17.52 |
31.49 |
- |
- |
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Phosphate |
Cropping system
(CS) |
- |
- |
3.73 |
3.73 |
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Suitability
(Maize) (S) |
- |
- |
3.57 |
7.31 |
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Soluble salt |
Cropping system
(CS) |
- |
- |
6.05 |
6.05 |
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Suitability
(Maize) (S) |
- |
- |
4.32 |
10.37 |
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Conductivity |
Cropping system
(CS) |
- |
- |
20.34 |
20.34 |
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Suitability
(Maize) (S) |
- |
- |
2.78 |
23.12 |
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Humus content |
Cropping system
(CS) |
39.47 |
39.47 |
- |
- |
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Land type (LT) |
2.32 |
41.80 |
- |
- |
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Model for Land degradation. Apomu 1; Bulk density, Y = 0.99
– 0.21 CS + 0.10LT + 0.36 S; Permeability, Y = 4.65 – 0.28LT
– 0.66 S; Humus
content, Y = 3.90 – 0.45 CS +
0.13 LT. Apomu II; Bulk density, Y = 0.17 + 0.09 CS + 0.23
LT + 0.31 S Permeability, Y = 3.30 + 0.04 CS – 0.23 S
Phosphate, Y = 4.08 + 0.10 CS – 0.30
S; Soluble Salt, Y = 4.56 – 0.16 CS – 0.50 S; Conductivity,
Y = 2.01 – 0.11 CS – 0.14 S.
Y = 3.90 – 0.45CS + 0.13LT
At Apomu (location
2) Land degradation at 56.63% due to bulk density was
contributed by cropping system (11.34%), land type (29.35%)
and suitability (maize) 15.85%.
Y= 0.17 + 0.09CS + 0.23LT + 0.31S
For degradation due
to conductivity, cropping system contributed 20.34% and
suitability (maize) 2.78%
Y = 2.01 – 0.11CS – 0.14S
While in terms of
permeability, phosphate and soluble salt contents cropping
system and suitability contributed ≤ 7.56%.
Y = 3.30 + 0.04CS – 0.23 S
Y = 4.08 + 0.10CS – 0.30 S
Y = 4.56 – 0.16CS – 0.50 S
At Alabata (location 1) Land type
contributed 17.34% of degradation due to bulk density.
Y = 2.19 + 0.23 LT
For base saturation
an indicator, cropping system and land type contributed
10.22 and 3.56% respectively.
Y = 2.92 – 0.06CS + 0.08LT
Cropping system and
land type contributed 5.38% to degradation due to N and P
content and also 3.54 and 10.07% to K content.
Y = 1.12 + 0.22N
Y = 1.69 + 0.19CS + 0.34LT
Y = 2.92 – 0.10CS + 0.22LT
For degradation
(humus content) cropping system contributed 12.84% and land
type 6.54%.
Y = 3.19 +0.11CS + 0.11LT
At Alabata location 2, cropping system
and land type contributed 16.95% of degradation (bulk
density) at 4.17 and 12.78% respectively.
Table 2.
Multiple linear stepwise regression analysis of cropping
system, land type, suitability and land degradation at
Alabata.
|
Degradation indicator |
Independent variable |
Alabata 1 |
Alabata 2 |
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Contribution |
Cumulative |
Contribution |
Cumulative |
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% |
% |
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BD |
Cropping system
(CS) |
- |
- |
4.17 |
4.17 |
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Land type (LT) |
17.34 |
17.34 |
12.78 |
16.95 |
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Base Saturation |
Cropping system
(CS) |
10.22 |
10.22 |
- |
- |
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Land type (LT) |
3.56 |
13.78 |
2.85 |
2.85 |
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Nitrogen |
Land type (LT) |
5.38 |
5.38 |
- |
- |
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Phosphate |
Cropping system
(CS) |
5.29 |
5.29 |
- |
- |
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Land type (LT) |
2.88 |
8.17 |
- |
- |
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Potassium |
Cropping system
(CS) |
3.54 |
3.54 |
- |
- |
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Land type (LT) |
10.07 |
13.60 |
- |
- |
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ESP |
Cropping system
(CS) |
- |
- |
6.38 |
6.38 |
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Land type (LT) |
11.39 |
11.39 |
- |
- |
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Humus content |
Cropping system
(CS) |
12.84 |
12.84 |
11.66 |
11.66 |
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Land type (LT) |
6.54 |
19.38 |
3.02 |
14.68 |
Model for land degradation. Alabata 1; Bulk density, Y =
2.19 + 0.23 LT Base saturation, Y = 2.92 – 0.06 CS + 0.08
LT. Nitrogen,
Y = 1.12 + 0.22 N Phosphate, Y = 1.69
+ 0.19 CS + 0.34LT. Potassium, Y = 2.92 – 0.10CS + 0.22LT,
ESP, Y = 2.42 + 0.48 LT. Humus,
Y = 3.19 +0.11CS + 0.11 LT. Alabata 2;
Bulk density, Y = 1.97 + 0.10 CS – 0.27 LT Base saturation,
Y = 1.29 – 0.09 LT. ESP,
Y = 3.97 – 0.30 CS Humus, Y = 3.35
+0.09 CS + 0.08 LT
Y = 1.97 +0.10CS –
0.27LT
Base saturation as
an indicator of degradation had 2.85 contribution for land
type. Cropping system contributed 6.83% to degradation due
to ESP and 11.6% to humus content while land type
contributed 3.02% to degradation in terms of humus content
only.
Y = 1.29 – 0.09LT
Y = 3.97 – 0.30CS
Y = 3.35 + 0.09CS + 0.08LT
Figures 1-4 show
the extent of degradation of each indicator as affected by
cropping system, land types and suitability in all the
locations at Ayepe and the Alabata sites.
The result of the multiple linear stepwise regression
analysis showed that factors contributing to various forms
of degradation differ among the sites. This analysis also
suggests that virtually most of the degradation forms were
contributed by cropping system at both sites. The variation
in percentage contribution is due to differences in
intensity of arable cropping without appropriate inputs.
This is responsible
for considerable nutrient uptake this is evident at both
sites.
Land type (slope position) contribution to degradation was
not significant at Apomu site but contributed virtually to
all the different forms of degradation at Alabata. This is
because of the exposure of the land during the dry season
period as a result of seasonal burning and the subsequent
erosion from the shoulder and midslopes and deposition in
the footslopes at the onset of raining season before
effective ground cover. This agrees with the observation
made by Ronggai and Tiessen (2002).
Land suitability either to oil palm or maize contributed
significantly to some forms of degradation only at Apomu
site indicating that these crops were not planted where they
are best suited. Land degradation models were established
for each of the indicators as a function of the factors
influencing degradation. These mathematical models can be
used to calculate or predict the land degradation rate for
each of the land qualities. The values of the variables are
mathematically determined in such a way that the equation
gives a numerical indication of the degradation rate. This
mathematical model describes the processes of cropping
system, land type and suitability and the final result the
exact magnitude due to the fac-tors. The summation of all Y
values, that is, degradation from
all qualities affected, gives the exact degradation rate for
a particular location.

Figure 1.
Degradation in terms of bulk density as affected by cropping
system, land types and suitability at Apomu.

Figure 2.
Degradation in terms of permeability as affected by cropping
system, land types and suitability at Apomu.
With this mathematical model, we can understand the dynamics
of the soil degradation. It is important that specific
measures for soil remediation require knowledge on the
intensity and trend of the degradation process. The decline
of soil properties in a unit of time is one
measure of the rate
of degradation. In order to unify all the indicators, the
rate of degradation could be expressed as the rate of
decline from one degradation degree to another.
The results of this analysis show the magnitude of
degradation due to different soil qualities and the part
played by each factors. With them the
appropriate
approach to the
soil rehabilitation and management technique for
agricultural uses and sustainability can be predicted.

Figure 3.
Degradation in terms of
bulk density as affected by cropping system, land types and
suitability at Alabata.
Based on the indicators given by this study, the soils of the
sites can best be restored and managed in the following ways:
The land types or sloping croplands can be maintained by
employing ecological strategy such as: using the toposequence
land types according to their capability classification and use
of appropriate terraces. There would be appropriate management
practices for different land types. The upper slope can be
cultivated with arable crop where there are no rock outcrops and
where crop outcrops are present, permanent tree crops are
recommended. In the middle slope; grass/legume mixture and
contour farming in which alley crop legumes feature permanently
on the contour are to be adopted. In the lower slopes, creeping
plants such as melon, gourds, pueraria etc would be planted
while at the valley bottom, arable crops and vegetables are
preferable, especially in the dry season.
A detailed soil survey and land evaluation would precede these
recommended appropriate land use. Thus crops most suitable for
the land are cultivated as indicated by its capability and
constraints.
The land agricultural uses must include natural fallows (Johnson
and Bradshaw, 1979) in order to guarantee replenishment of
organic matter and nutrients from the litter and roots of
plants. Apart from this, the following cropping systems are
recommended to minimize land degradation in the two sites.
(1) Crop rotation
which is a scientific system of cropping that provides cover,
maintains organic matter and aggregate formation (Quarisah et
al., 1989).
(2) Alley cropping
system in which food crops are planted in the alleys of
leguminous shrubs, the shrub fixes atmospheric N and produces
roots that bind the soil particles together.
(3) Organic
mulching which conserves soil moisture, improves infiltration
rate and the activity of soil micro organisms, humus content and
EEC in the soil
(4) Contour farming involving the ridge and furrow system has
proved to be a useful erosion control measure, if the ridges are
aligned parallel to the contour. This system is effective on
soils with relatively stable structure and for slopes up to 7%.
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Conclusion |
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Cropping systems and land types
contributed immensely to land degradation at both sites
while suitability in addition contributed to degradation
only at Apomu site. The magnitude of the degradation as
caused by factors was quantified by the established
mathematical models, which predict the exact management
technique. The appropriate approach to rehabilitation or
improvement of degraded soil for sustainable agricultural
uses in the sites studied must consider cropping systems,
land types and suitability for specified crops.Management
techniques such as understanding the soil adequately
through detailed soil survey and land
evaluation,
planting
appropriate
cropping systems such as rotation, alley cropping, organic
mulching and use of contour ridges must be adopted.
Also topographic
land types or sloping lands must be used according to their
capability classification and the use of appropriate terraces
should be encouraged.

Figure 4.
Degradation in terms of humus content as affected by
cropping system, landtypes and suitability at Alabata.
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References |
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