agricultural land use efficiency and food crop production in ghana
TRANSCRIPT
Agricultural land use efficiency and food crop productionin Ghana
Amos K. Quaye • Charles A. S. Hall • Valerie A. Luzadis
Received: 20 March 2009 / Accepted: 22 January 2010 / Published online: 10 February 2010� Springer Science+Business Media B.V. 2010
Abstract Despite the low productivity of the extensive agriculture system, Ghana
recorded the largest reduction of undernourishment in the past two decades. We used
biophysical analysis to determine the efficiency and potentials of the extensive system and
its future sustainability. The results indicate that food production in Ghana has increased
steadily over the past two decades and correlated highly with cropped area and population
(R2 \ 0.85 and 0.82), but not with fertilizer (R2 = 0.06). Sufficient food production could
be sustained in the short term. In the longer term, however, the food situation in Ghana
appears precarious if population growth continues while land remains the same.
Keywords Ghana � Extensive system � Land use efficiency � Starchy staples �Cereals
1 Introduction
The socioeconomic development of Ghana depends heavily on the land and forest
resources used for agricultural growth and rural development. About 50% of the eco-
nomically active population is engaged in agricultural activities, mostly as smallholder
subsistence food crop farmers. Agricultural productivity in Ghana, once very successful,
has become a major source of concern in recent decades, because of the high rates of
population growth and hence the increasing demand for food. Consequently, pressure on
agricultural resources, especially land, has increased (Morgan 1996; World Bank 2006).
Readers should send their comments on this paper to [email protected] within 3 months of publicationof this issue.
A. K. Quaye (&) � V. A. LuzadisDepartment of Forest and Natural Resources Management, SUNY College of Environmental Scienceand Forestry, 1 Forestry Dr, Syracuse, NY 13210, USAe-mail: [email protected]; [email protected]
C. A. S. HallDepartment of Environmental and Forest Biology, SUNY College of Environmental Scienceand Forestry, 1 Forestry Dr, Syracuse, NY 13210, USA
123
Environ Dev Sustain (2010) 12:967–983DOI 10.1007/s10668-010-9234-z
The potential success of the country’s policy of developing agricultural and food self-
sufficiency (Ghana Poverty Reduction Strategy (GPRS) 2003; Medium Term Agricultural
Development Program (MTADP) 1990) is being challenged by a number of biophysical
constraints, most importantly the quality of agricultural lands, the low and erratic rainfall
patterns and the high soil erosion rates (Pearce et al. 1988). Soil erosion has a direct
negative effect on land productivity in crop production, which in turn has serious reper-
cussions for any agrarian economy. Diao and Sarpong (2007) estimated that soil loss
through erosion would reduce agricultural income in Ghana by a total of US$ 4.2 billion
and cause a 5.4% point increase in the poverty rate over the period 2006–2015. This is
approximately five percent of total agricultural GDP in this 10-year period.Food crop production in Ghana has been mainly through the extensive system of
shifting cultivation. This is the oldest farming system (Nye and Greenland 1960) in which
farmers ‘‘slash and burn’’ a piece of land, grow food crops in polyculture for 1–3 years and
leave it fallow. It is socially and environmentally sustainable (Thrupp et al. 1997), albeit at
low levels of agricultural productivity and human population densities (Boserup 1965).
The fallow phase restores carbon and nutrient stocks in the biomass, improves soil physical
properties and suppresses weeds (Nye and Greenland 1960; Szott and Palm 1986). Thus,
productivity depends on the intrinsic soil quality and the length of fallow period. However,
due to increasing population pressure, the fallow period has been progressively shortened
resulting in lower crop yields (Seini 2002). The length of the fallow period varies for
different parts of country. In less populated regions, fallow range can exceed 5–10 years.
Fallow periods are often only 2–3 years in parts of the Coastal Savanna and the Forest
zones or 4–6 years in parts of the Guinea and Sudan Savanna zones (Quansah et al. 1991,
2001; Food and Agriculture Organization (FAO) 1991). These short periods are considered
insufficient to sustain soil productivity under intense cropping (Acquaye 1990; MOFA
1998).
The most common response to the extensive system in the face of the increasing
population numbers is agricultural intensification through the use of chemical fertilizers,
other agro-chemicals and technological means to increase crop yields. The potential of this
type of fossil fuel-driven intensification, however, is also limited for most developing
countries because of the expense. When human population pressures exceed a critical
density, the traditional shifting cultivation is replaced by a variety of other agricultural
practices (Sanchez et al. 2005). In Ghana, Asuming-Brempomg et al. (2003) identified five
such practices that replace the shifting cultivation: rotational bush fallow, permanent tree
crops, compound farming, mixed farming, and special horticultural farming systems. The
rotational bush fallow system is currently the dominant farming system throughout Ghana.
It is designed to include the planting of specific crops such as legumes and other nitrogen-
fixing trees in the rotation. However at the rotation of the fallow, bush clearing and land
preparation methods are the same as those for traditional shifting cultivation. Thus makes
the soil susceptible to erosion leading to soil infertility (Asuming-Brempomg et al. 2003).
Agricultural land use efficiency (LUE), also known as productivity or yield, is deter-
mined as tons of crop produced divided by the total number of hectares of land devoted to
the production of that crop in any particular year (tons/ha/year). Fertilizer use efficiency
(FUE) is determined as tons of crop produced divided by the tons of fertilizer used in the
production of that crop in a year (ton/ton) (Hall 2000). Agricultural land is defined as the
sum of arable crops (land under food crop production, mostly temporary), permanent crops
(land used for the cultivation of perennial tree crops), and permanent pasture (land used for
herbaceous forage). Most research papers on agricultural productivity use this definition in
their analysis, which does not include fallow lands. When fallow lands are not considered
968 A. K. Quaye et al.
123
in such analyses, the results can be deceptive by portraying that land as not limiting.
However, when in non-industrialized agricultural farming systems, fallow is essential. In
this paper, agricultural land is redefined to include fallow lands.
In spite of the low land use efficiency or productivity nature of soils under these
extensive systems of farming, and the progressive reduction in the fallow period that
sustains it, FAO data indicate that Ghana recorded a large reduction (52%) of under-
nourishment1 in the past two decades (Food and Agriculture Organization (FAO) 2000;
Meyers 2001). The purpose of this study is to determine, from a biophysical perspective,
how long it may be feasible for Ghana to adequately feed its people under the traditional
farming system. We looked at efficiency of agricultural land use, its contribution to
improvement in food crop production in the past, and its future sustainability. To meet
these objectives we tested the hypothesis that the traditional systems of food crop pro-
duction and hence increased cropped land has not and will not pose a threat to the limit of
food production in the near future (in the next decades), at the present rate of population
growth in Ghana. We used historical empirical data to analyze the production trends of the
major food crops produced in Ghana from 1962 to 2004 and the biophysical factors
responsible for their increased production. We also made projections into the future (2031)
using a biophysical model to determine the state of future food production and availability.
The rest of the paper gives a brief description of the location of the country, the nature
and characteristic of the agriculture and its importance to the national economy and rural
society (Sect. 2), outlines the sources and empirical analysis of the data and describes the
details of the model used for the estimation of food and land availability including for-
mulas and factors (Sect. 3), presents the results of data analysis and model projections and
then discusses possible factors that influenced the result (Sect. 4) and offers suggestions for
plausible solution (Sect. 5).
2 Characteristics and importance of agriculture in Ghana
Ghana is located on the southern coast of West Africa, between latitudes 4�440 N and
11�110 N and longitudes 3�110 W and 1�110 E. The country is divided into six agro-
ecological zones based on climate: High Rain Forest, Deciduous Forest, Transitional Zone,
Coastal Savanna, Guinea Savanna and Sudan Savanna. The natural vegetation in each
agro-zone is determined by the different climatic conditions and soil type. Mean annual
temperature in the country ranges between 26 and 29�C in August–September and 31–
33�C in February–March. Mean annual rainfall ranges from 800 mm in the Coastal
Savannah to 2,200 mm in the Rain Forest. The rainfall pattern is uni-modal in the Sudan
and Guinea Savannah Zones and bi-modal in all the other zones (Ministry of Food and
Agriculture (MoFA) 2003).
Ghana has a total land area of 238,533 km2 of which agricultural land covers about
57%. Agricultural production is made up of traditional exportable cash crops (cocoa, oil
palm, cotton, rubber, and coconut), non-traditional export or horticultural crops (e.g.
pineapples, mango, citrus, chili pepper, tomatoes, other fruits and vegetables) and the
staple food or subsistence crops, which can be grouped into cereals (maize, rice, sorghum,
and millet), starchy staples (cassava, yam, plantain, cocoyam, and sweet potatoes), and
legumes and pulses (cowpea, groundnut, and beans). The rearing of livestock on free range
1 Under-nourishment is defined as that food intake level that is insufficient to meet dietary energyrequirements continuously.
Agricultural land use efficiency 969
123
is common throughout the country; however, the main concentrations are in the drier and
grassland areas to the north of the country (Aryeetey and Fosu 2003; Ministry of Food and
Agriculture (MoFA) 2001).
Agriculture in Ghana is generally rain-fed and almost exclusively represented by
smallholder activity farming on plots of less than 1.5 ha. Productivity is generally low
mainly due to the use of low-input traditional farming systems and the erratic nature of
rainfall in the country. Where opportunities for improved water management and irrigation
exist, agriculture in Ghana possesses many natural advantages. As such, the application of
existing technologies to smallholder systems would increase unit area yields for crops
significantly (Ministry of Food and Agriculture (MoFA) 2005). The soils of Ghana are
highly weathered with predominantly light textured surface horizons in which sandy loams
and loams are the common textural classes. Thus, most lands are characterized by poor
fertility and are subject to degradation due to erosion (Diao and Sarpong 2007). To sustain
increases in crop production and therefore ensure food security, soil nutrient and water
resources must be managed properly and conserved (Quansah 1996).
Despite the challenges to successful agricultural production, it is still the dominant
sector in the Ghanaian economy. Agriculture employs about 60% of the labor force, mainly
as small landholders, contributes about 40% to GDP and accounts for over 57% of foreign
exchange earnings (Ministry of Food and Agriculture (MoFA) 2003). The agricultural
sector is the major source of government revenue, mainly through duties paid on exports of
agricultural commodities, particularly cocoa. The contribution of agriculture to govern-
ment revenue was 26% in 1987, but it declined to an average of about 20% in the first half
of the 1990s (Seini 2002). By 2004, however, real GDP grew at 5.8%, the agriculture
sector led with a growth rate of 7.5% and contributed 46.7% of overall growth (Institute of
Statistical, Social and Economic Research (ISSER) 2005; Aryeetey and Fosu 2003).
Agriculture also plays important roles in the socioeconomic development of Ghana. It
contributes to ensuring food security, provides raw materials for local industries, and
provides incomes for much of the population, thereby contributing to poverty reduction.
3 Materials and methods
We used empirical data on total national and agricultural population numbers and their
growth rates, total national agricultural land area, area cultivated in each of the major food
crops, and total food production and yield/ha. Other data included total national fertilizer
use and climatic variables. These data cover the period from 1962 to 2004.
Food crops included in this study are the cereals (maize, rice, sorghum, and millet) and
the starchy staples (cassava, yam, and plantain). We analyzed the time trends of production
for each of these crops individually, in the two broad groups and for the overall total of all
food crops. We corrected all production figures for moisture content of each crop in order
to obtain production figures on dry weight basis. We analyzed the efficiency of land and
fertilizer use from the above-mentioned data and also determined the relations of yields to
these biophysical factors. We used simple correlation analysis to determine which of the
biophysical factors were most important factor driving food production in Ghana.
The principal sources of data for this study were the Food and Agriculture Organization
(FAO) of the United Nations, Ghana’s Ministry of Food and Agriculture (MoFA), and the
Ghana Meteorological Services. Additional data from the scientific literature that were
used are referenced accordingly.
970 A. K. Quaye et al.
123
3.1 Empirical analysis of land and fertilizer use efficiency
To analyze the performance of the traditional system of food production, we determined
the efficiency of land and fertilizer used for food production. Explicit crop-specific fer-
tilizer use values are not available for Ghana, so we calculated the amount of fertilizer
applied to each crop by modifying a formula initially developed by Hall et al. (1998).
Fertðc;yÞ ¼ FertFacðcÞ � NaFertðyÞ =Areaðc;yÞ ð1Þ
where Fert(c,y) is crop-specific fertilizer use for a particular year, FertFac(c) is a weighting
factor of total fertilizer consumption that is applied to a crop (Table 1), NaFert(y) is the
total National fertilizer use for all crops in a particular year, and Area(c,y) is the area
harvested for a particular crop in a particular year. We derived land use intensity by
dividing the total agricultural land by the total population to determine per capita land
availability, which is also a measure of population pressure on agricultural land.
3.2 The Simulation model
We developed a computer simulation model,2 we called SimGhana, using FOR-
TRAN90v4. SimGhana is based on similar models developed by Hall (2000). The model
simulated the food production as a function of area cultivated, the amount of fertilizer
used, and a land quality factor. We first derived a saturating fertilizer limiting factor using
the equation:
FLFac ¼ TFpHa=TFpHa þ HafSat ð2Þ
where FLFac is fertilizer limiting factor, TFpHa is the amount of fertilizer used per hectare
of crop produced and HafSat is a half-saturation coefficient.3
To determine the half-saturation coefficients of fertilizer use by each crop, we made
assumptions based on literature and expert knowledge (Food and Agriculture Organization
Table 1 Factors and values used in the simulation model (SimGhana) to simulate food production as afunction of area cultivated, the amount of fertilizer used, and a land quality factor
Foodcrop
Area(1,000 ha)
Yield(100 kg ha-1)
Half-saturationcoefficient
Scope of responseto fertilizer
Erosionfactor
% moisturecontent
Maize 610.40 15.26 0.06 0.65 5.0 0.15
Rice 94.90 15.90 0.07 0.76 0.0 0.15
Millet 208.50 5.39 0.08 0.50 5.0 0.15
Sorghum 262.60 9.19 0.08 0.54 5.0 0.15
Cassava 534.70 115.79 0.05 0.39 5.0 0.62
Yam 227.30 106.63 – – 7.0 0.70
Plantain 173.50 67.91 0.05 0.35 3.0 0.65
Cocoyam 202.90 63.91 – – 7.0 0.63
Sources FAO, MoFA, IFDC Hall (2000) and Parajuli (2003)
2 A predictive or simulation model attempts to represent quantitatively relatively well-known systemallowing simulation of the future or hypothetical states (Hall and Day 1977).3 The quantity of fertilizer that generates half the maximum amount of crop production that is determined asthe asymptote where any further addition of fertilizer input will have little effect on productivity.
Agricultural land use efficiency 971
123
(FAO) 2005, 2002; Hall 2000; Parajuli 2003; [Table 1]). Since fertilizer use in Ghana is
very low and has not reached the asymptotic response of crops, we assumed the base year
yield to be one of no fertilizer use. Therefore, predicted crop yields were calculated as:
YpHa Pr ¼ NFYpH þ SfRes * FLFac * EroFacð Þ ð3Þ
where YpHaPr is the predicted yield per ha with fertilizer, NFYpH is crop yield per ha
without fertilizer, SfRes4 is the scope of crop response to fertilizer use, and EroFac is an
erosion factor. Based on the predicted yields, simulated total productions for each crop for
the country were calculated as:
CPro ¼ YpHpr * Area *LQFacð Þ ð4Þ
where crop production (Cpro) is the product of area (Area) cultivated, the predicted yield
(YpHPr, corrected for erosion effects), and land quality factor (LQFac). The use of a land
quality factor is based on the assumption that farmers use the best land first (Ricardo 1817).
According to Hall (2000), agricultural land quality can be represented by a numerical
factor where 1 = best land, 0.5 = medium quality, and 0 = worst. Considering the nature
of soils in Ghana (Food and Agriculture Organization FAO 2002) and the reduction in the
fallow period (Seini, 2002; Quansah et al. 1991, 2001, we assumed a land quality factor of
0.7 and fallow period of 5 years for this model. Sensitivity analysis on these values and
assumptions was carried out as part of this study and gave us confidence that the results of
our model were correct and sensitive to unforeseen changes in these factors.
4 Results and discussion
Results from the empirical analysis indicate that food production in Ghana has increased
steadily over the past two decades (Fig. 4). Thus, the traditional system of food production
through the expansion in cropped area has sustained food production, without appreciable
industrial inputs. Because fertilizer use in Ghana is very low (Fig. 5), the observed
increases in food production could not be explained by fertilizer use. It is evident, there-
fore, that the increases in food production have come about primarily through expansion of
cropped area. The simulation results also show that enough food could be produced to meet
the dietary requirements of the people of the country for the next 2 decades (Fig. 10). In the
longer term, the potential of the extensive system for food self-sufficiency may be limited
by availability of quality land due to the progressive reduction in the fallow period.
However, this problem apparently can be avoided if sustainable land management systems
are practiced. Therefore, we accept the hypothesis that the traditional system of agricultural
production, and hence expansion in cropped area, has not been a limiting factor to food
crop production in Ghana for the past and the short-term future (i.e. next two decades).
4.1 Land use efficiency and food crop production
Active agricultural land expanded by 26%, from 11.70 million ha in 1962 to 14.74 million
ha in 2003 (Fig. 1). When fallow land was included, total agricultural land increased to 21
million ha in 2004. Increases in the area cropped for each food crop is presented in Fig. 2.
Agricultural land use efficiency (LUE), i.e. yield, is an index of the performance of an
4 This is the maximum amount of increased yield that can be added to the no-fertilizer base year yields. It isthe difference between maximum yield with fertilizer and the yield without fertilizer, in tons per ha.
972 A. K. Quaye et al.
123
agricultural system which in Ghana is fairly low. Rice and cassava are the highest yielding
crops among the cereals and starchy staples, respectively (Fig. 3).
The increases in yield observed in Fig. 3 are similar to those reported by Aggrey-Fynn
et al. (2003) and Seini (2002) which they attributed to the development and introduction of
improved high-yielding crop varieties in the late 1980s and early 1990s by the Ghana Crop
Research Institute (CRI). Total food production increased sharply by 76% from 4.1 million
Mt in 1991 to 7.2 million Mt in 2004 (Fig. 4). Food crop production in Ghana is signif-
icantly correlated with the area harvested (p = 0.03 and p = 0.02 for cereals and starchy
staples, respectively).
Maize cultivation occupies about 27% of land devoted to all food crops and about 52%
of land devoted to cereals, whereas rice cultivation occupies 4.1% of food crops land and
7.7% of cereals land. Rice production grew irregularly at around 5% per year from 1970 to
1990. The most widely cultivated and consumed starchy staple in the country is cassava,
whose production occupies about 22.6% of all land devoted to food crops and about 48%
of land devoted to starchy crops. According to Institute of Statistical, Social and Economic
Research (ISSER) (2005), cassava is currently becoming the largest agricultural product in
0
6
12
18
24
1962 1972 1982 1992 2002A
rea
(mill
ion
Ha)
Fallow Land
Other Land Use
Permanent Pasture
Food CropsPermanent Crops
Fig. 1 Agricultural land use inGhana between 1962 and 2003.Source FAOSTAT Home Page(2004)
0.0
0.4
0.8
1.2
1.6
1962 1968 1974 1980 1986 1992 1998 2004
Are
a (M
illio
n ha
)
0
0.4
0.8
1.2
1.6
1962 1968 1974 1980 1986 1992 1998 2004
Are
a (m
illio
n ha
)
Cassava
Maize
Sorghum
Millet
Rice
Plantain
Yam
A
B
Fig. 2 Total area harvested(Million Ha) for cereals (a) andstarchy staples (b) in Ghanabetween 1962 and 2004. SourceFAOSTAT Home Page (2004),MoFA
Agricultural land use efficiency 973
123
Ghana. It represented about 22% of agricultural GPD in 2004. Cassava is grown exten-
sively in almost all the agro-ecological zones of Ghana. The Food and Agriculture
Organization FAO (2002) identified two reasons for the widespread cultivation of cassava
0.0
0.5
1.0
1.5
2.0
1962 1972 1982 1992 2002Y
ield
(M
t ha-
1)
Mean MaizeRice MilletSorghum
0.0
1.0
2.0
3.0
4.0
1962 1972 1982 1992 2002
Yie
ld (
Mt h
a-1)
Mean Cassava
Yam Plantain
A
B
Fig. 3 Mean yield of cereals (a)and starchy staples (b) in Ghanabetween 1962 and 2004. SourceFAOSTAT Home Page (2004),MoFA
0.0
0.5
1.0
1.5
2.0
2.5
1962 1968 1974 1980 1986 1992 1998 2004
1962 1968 1974 1980 1986 1992 1998 2004
Pro
duct
ion
( M
illio
n M
t)
0.0
1.0
2.0
3.0
4.0
5.0
Pro
duct
ion
(Mill
ion
Mt)
Cassava
Cassava
Plantain
Yam
Millet
Rice
Sorghum
A
B
Fig. 4 Total production of foodcrops: cereals (a) and starchystaples (b) in Ghana between1962 and 2004. SourcesFAOSTAT Home Page (2004),MoFA
974 A. K. Quaye et al.
123
in the country; the first being the drought in 1983, following which many farmers turned to
cassava because it tolerates drought and grows in relatively poor soils. Secondly, it can be
harvested anytime between 8 and 24 months after planting, thus providing a safeguard
against unexpected food shortages.
4.2 Fertilizer use efficiency and food crop production
The amount and efficiency of fertilizer use is an index of the extent of modern agricultural
intensification through industrial inputs. Fertilizer use is very small in Ghana (Fig. 5) and,
as such, the extent of modern agricultural intensification is very low. The low inputs of
fertilizer did not show any substantial increase to yields. In fact the correlation between
crops yield and fertilizer use is not significant, R2 = 0.06 and 0.02 for cereal and starchy
staples, respectively. Nevertheless, efficiency of fertilizer use, expressed as ton of crop
production per ton of fertilizer used, decreased with increasing fertilizer use (Fig. 5).
From a biophysical perspective, one common interpretation of the observed non-
responsiveness of crops to fertilizer is that the quality of agricultural soils in Ghana is high.
According to Hall (2000), applying fertilizer to high-quality soils does not lead to any
significant increase in yield because when plants have readily access to sufficient intrinsic
nutrients in the soil, they do not respond to applied fertilizers. This is highly unlikely for
Ghana, given the character of the soils that have poor fertility and high susceptibility to
erosion (Diao and Sarpong 2007). Although the shifting cultivation system helps to restore
soil fertility, the progressive reduction in the fallow period makes it extremely unlikely for
Ghanaian soils to regain higher fertility levels (Morgan 1996). According to FAO (2005),
almost all the crop nutrient balances in Ghana show nutrient deficiencies. According to the
estimates, cassava and yam account for about 37% of the nitrogen deficit. These crops
remove large quantities of nutrients, and their soils are prone to erosion during harvest.
Gerner et al. (1995) also reported that agricultural practices under the extensive system
0
2
4
6
8
1962 1972 1982 1992 2002
Fer
t use
(10
0 m
t)
0
2
4
6
8
10
12
14
16E
ffici
ency
(10
00 T
/T)
EfficiencyFert use
0
2
4
6
8
10
12
1962 1972 1982 1992 2002
Fer
t use
(10
0 M
t)
0
5
10
15
Effi
cien
cy (
1000
T/T
)Fert Use Efficiency
A
B
Fig. 5 Fertilizer use andefficiency by cereal-maze (a) andstarchy staples-cassava (b) inGhana between 1962 and 2003.Sources FAO, MoFA and IFDC
Agricultural land use efficiency 975
123
especially with a declining fallow period are soil exhausting. They indicated that crop
production in Ghana is far below its potential and if fertilizers were used the country has
the potential to produce two to three times of its current production levels. Seini (2002)
attributed the drastic reduction in fertilizer use in the country since the 1980s (Fig. 5) to the
introduction of the Structural Adjustment Program (SAP) and the removal of agricultural
supports, including fertilizer subsidies by the Government of Ghana.
4.3 Climatic variables and food crop production
Precipitation and mean ambient temperature (MAT) are the most significant climatic factors
in tropical agriculture. Since agriculture in Ghana is predominantly rain-fed, reduction in
the quantity of rainfall affects crop production significantly. Between 1961 and 1990,
precipitation decreased by about 20% in the country (Fig. 6). However, we found the
correlation between the yields of crops and mean annual rainfall to be not significant with
R2 \ 0.2. This relation is probably due to the erratic pattern and the variability in distri-
bution of the rainfall amount in the country. The significant decline in food production
observed in 1983 and 1990 was due to severe drought in those years and consequent
reduction in area cropped (see Figs. 2, 4). However, above average rainfall in the years that
followed them (1984 and 1991) resulted in a sharp increase in production (see Fig. 4).
4.4 Population growth, land availability, and food production
The relation between population growth and food production has been a contentious issue
of study both historically (e.g. Malthus 1798; Boserup 1965) and in recent years (e.g. Hall
2000; Benneh 1990; Benneh 1993). The number of people engaged in agriculture can be
used as a measure of the extent of agricultural extensification or intensification. The
agriculture population in Ghana has been increasing, but at a decreasing rate relative to the
total population (Fig. 7a). Thus, the percentage of the economically active population in
agriculture is declining; however, it is still above 50%. Food production correlates highly
(R2 = 0.82) with population, indicating that labor is a major factor in food production
second only to land. Although the increasing population provides labor to the agricultural
sector, it has also resulted in a decline in per capita agricultural land (Fig. 7b). Conse-
quently, there has been a reduction in fallow period. In apparent agreement with Boserup’s
(1965) view, as the population growth occurred, use of available land increased enough to
increase food production, even though yields per hectare are relatively low.
Our simulation results predicted that Ghana’s population would increase to 23 million in
2010, 26.34 million in 2020, and 30.5 million in 2031 (Fig. 8). Figure 9 indicates that food
production could be increased to feed about 84% of the simulated population from 2010 to
2031.
0
2
4
6
8
10
12
1962 1972 1982 1992 2002
Mea
n an
nual
rai
nfal
l (1
000m
m)
25
25
26
26
27
27
28
28
Mea
n A
nnua
l tem
p (°
C)
MAR
MAT
Fig. 6 Variations in meanannual temperature (MAT) andmean annual rainfall (MAR) inGhana between 1962 and 2003.Source Ghana MeteorologicalServices (unpublished data,several years)
976 A. K. Quaye et al.
123
Given the expected high prices of fertilizers and the weak relation between crop pro-
duction and fertilizer, which is most likely due to insufficient fertilizer application, the
predicted increase in food production could be achieved only through increased expansion
of cropped area. Based on the 5-year fallow period, our model projected that the total
agricultural land required to sustain the predicted increase in food production will surpass
the total land area of the country by 2023 (Figs. 10, 11). Since this is impossible, it is likely
that farmers will reduce the fallow period even further, which will adversely affect the
fertility of agricultural land and ultimately food production.
4.5 Low yields, poverty, and farmer migration
The low yields associated with crop production in Ghana could be attributed to poverty
among farmers, which prevents them from practicing healthy farm management.
0
4
8
12
16
1962 1967 1972 1977 1982 1987 1992 1997 2002A
gri
c.P
op
(mill
iom
)
52
54
56
58
60
62
64
% A
gri
c. p
op
ula
tion
Agric Pop
%Agric Pop
Fig. 7 Total and percentage ofagricultural (Agric) population(Pop) in Ghana between 1962and 2004
0
1
2
3
4
1961 1966 1971 1976 1981 1986 1991 1996 2001Land
per
cap
ita (
ha/p
erso
n)
per capita total landper capita agric landAgric land/agric pop
Fig. 8 Land availability percapita in Ghana between 1962and 2002. Source FAO, GoG
0
10
20
30
40
1991 2001 2011 2021 2031
Pop
ulat
ion
(mill
ion)
FAO estimate
Simulated
Fig. 9 SimGhana simulated andFAO estimated populationgrowth of Ghana (1991–2031)
Agricultural land use efficiency 977
123
According to Ghana Poverty Reduction Strategy (GPRS) (2003) and Ghana Statistical
Service (GSS) (2004), poverty is highest (59%) among food crop farmers. Seini (2002)
noted that a majority of Ghanaian farmers were unable to afford or adopt improved
agricultural technologies, particularly the use of chemical fertilizers, tractors, or irrigation
facilities due to poverty.
The declining percentage of farmers of the total population could also be attributed to
rural–urban (internal) migration. Most farmers, especially the youth, are leaving the rural
farming communities for the cities in search of white-collar jobs with the aim of getting
better income to improve their livelihood and that of their relatives (Benneh et al. 1996).
Their aims are mostly met but only relative to their formerly impoverished life in their
former communities. A second possible cause of the decline is the increased level of
education. Education has become a high priority in most rural communities as an attempt
to depopulate agricultural lands (Benneh et al. 1996). Educated individuals seek
employment in economic sectors other than agriculture, set up their own businesses in the
cities, or travel out of the country. A third cause could be attributed to the aggregation of
farmlands. In general, land is communally owned in Ghana, and individual family or
community members have usufructuary rights (Nukunya 1972; Ollenu 1962; Asenso-
Okyere et al. 1993). Commercialization of land in Ghana has recently become an issue.
Some community chiefs have started outright sale or long-term lease of community lands
to rich individuals who often come from outside the community or foreign countries. These
individuals usually practice large-scale intensive agriculture and grow mainly exportable
crops such as pineapple, pawpaw, and exotic vegetables. This practice has caused many
traditional farmers to lose their farm lands, become landless, and flee their communities to
find work elsewhere. Sometimes though, they become employed to work on these com-
mercial farms.
0
100
200
300
400
500
600
700
800
1991 2001 2011 2021 2031F
ood
supp
ly (
kg/c
apita
)
0
5
10
15
20
25
30
Fee
ding
pop
ulat
ion
(mill
ion)
Food supplyFeeding Pop
Fig. 10 Simulated food supply(kg capita -1) and population thatcan be fed in Ghana (1991–2031)
0
5
10
15
20
25
1991 2001 2011 2021 2031
Are
a (m
illio
n H
a)
Other land use
Simulated food crop land
Simulated fallow land
Permanent Crops
Permanent pasture land
Fig. 11 Simulated agriculturalland use in Ghana (1991–2031)
978 A. K. Quaye et al.
123
Boserup (1981) hypothesized that population growth is a principal driver of agricultural
innovation in peasantry. This perspective suggests that when land area is reduced relative
to population, farmers can compensate by modernizing agricultural techniques. But the
development of agriculture in Ghana is limited by the socioeconomic situation of farmers
such as the system of communal land ownership and by their relative poverty. Almost all
food crop farmers still use the traditional farming system of shifting cultivation and have
not been able to adopt any modern agricultural technologies (Okai 1997). Most food crop
farmers are not using the high-yielding crop varieties released by the Crop Research
Institute, because they are used to the old varieties or because they have not been exposed
to the new varieties due to lack of agricultural extension and education.
Most farmers in Ghana are aware of the importance of agro-inputs and the value of
modern farm practices, but they cannot afford the cost of those practices. If the credit
market favored farmers, most of them would most likely adopt modern farming practices
and make better use of research findings (Seini and Nyanteng 2003). The results of this
study essentially show that population growth in Ghana has had little effect on agriculture
modernization or the adoption of new techniques as postulated by Boserup.
The extensive system of agriculture, which makes use of land expansion to feed
growing populations, also causes rapid reduction in forest cover. Loss of forests affects
human livelihood directly by depleting timber and non-timber forest resources. It also
results in land degradation through soil erosion (Pimentel 1987), which in turn affects the
biodiversity of agro-ecosystems by disturbing the natural process of soil fertility restora-
tion. Soil loss has a direct negative effect on land productivity in crop production, which in
turn has repercussions for the rest of the economy (Biggelaar et al. 2004). Considering the
increasing recognition of the importance of agriculture in reducing poverty of small-scale
farmers and improving the overall socioeconomic development of the country, the
development of alternative agricultural systems that reduce poverty, meet farmers’ needs,
and minimize the impact on environmental resources must be promoted (McNeely and
Sherr 2003).
Sustainable land management has been identified as a key to reducing agricultural soil
loss and overcoming the negative effects of erosion on agricultural production, income
growth, and poverty reduction (Diao and Sarpong 2007). In Ghana, such alternative land
management practices include rotational bush fallow, compound farming, mixed farming,
and intercropping and agroforestry systems. These systems are characterized by initial
slash and burn which destroy the vegetative cover and makes the soil susceptible to erosion
(Asuming-Brempomg et al. 2003). Crops planted after slash and burn benefit from the
nutrients in the ash, but rapid nutrient depletion takes place with successive nutrients
removal in crop harvest, nutrient leaching, runoff and erosion promoted by high rainfall
and rapid decomposition of soil organic matter after burning (Sanchez 1976). It will
therefore be necessary to incorporate leguminous trees and crops in the intercropping and
agroforestry systems.
In addition, fallows may be improved or managed by planting trees. The leguminous
trees or crops planted in these systems would fix nitrogen and thus restore soil fertility
more rapidly (Boddey et al. 1996). In the mixed farming system, and where livestock
farming is practiced, the manure from animals could also be incorporated into the soil to
improve the organic matter content of the soil. Agricultural residues, including the inedible
biomass of harvested crops also need to remain on the farm land and be incorporated in the
soil (Acquaye 1990; Ahenkora and Appiah 1996; Quansah et al. 2001; Erenstein 1999).
Such systems of organic agriculture through alternative land management and land
intensification systems have been estimated by Badgley et al. (2007) to be capable of
Agricultural land use efficiency 979
123
producing enough food on a global per capita basis to sustain the current population and
potentially an even larger population without increasing the agricultural land area. Diao
and Sarpong (2007) have also estimated that the impacts of these sustainable land man-
agement practices on mitigating the effects of soil loss would lead to a US $1.4 billion
increase in real agricultural GDP in Ghana by 2015.
The challenge, however, has been the barriers to adoption of these systems by small-
holders. According to Sanchez et al. (2005), farmers will invest in improved land man-
agement and care for the environment if it is profitable compared with other investment
options within the context of household constraints and individual time preferences and
attitudes toward risk. The promotion of these systems must therefore consider the profit-
ability, labor needs, food security, and equity issues associated with them.
5 Conclusion
Increased food production in Ghana has come about mainly through increased cropped
area and labor. The future potential of the traditional system of food production appears to
be limited because expansion in area cropped to food crops cannot continue forever.
Further reduction in the fallow period will likely result in the limitation of land area and
increase soil exhaustion. Based on the current 5-year fallow period of agricultural land in
the country, agricultural land would have to surpass the total land area of the country by
2023 in order to maintain the current levels of food crop production. This is of course
impossible both physically and because of other necessary land uses. Agricultural growth
through acreage expansion is therefore not sustainable for the long-term future of the
country considering the fact that population growth and consequently, increased food
demand will continue but the land area will remain the same with decreasing quality and
productivity.
More sustainable agricultural practices available to improve the Ghana’s future food
security include mixed farming, intercropping, agroforestry systems, and managed fallows
that involve the use of legumes for nitrogen fixation and the incorporation of animal and
crop residue into the soil for improvement in soil organic matter content. These alternative
land intensification systems, if promoted with considerations to the profitability, labor
needs, food security, and farmers’ need, would increase food production to meet the
demands of the growing population without increasing the agricultural land area.
To conclude, Ghana is faced with three possible solutions to ensure future food security:
(1). intensification of agricultural production through the use of industrial inputs; (2).
encouragement of more stringent family planning to reduce the pressure of population
growth; and (3) development of agricultural and poverty reduction policies that support
sustainable agriculture practices. The first solution is very difficult in a future of con-
strained global oil availability. The second solution, if done with sensitivity and without
coercion but rather through increasing education and options for young women, is much
more desirable than the first alternative. Population reduction taken together with the third
solution, sustainable land management practices, will likely produce the most desirable
outcomes.
Acknowledgments We are very thankful to the Ford Foundation International Fellowships Program,under the Institute of International Education (IIE), and the State University of New York, College ofEnvironmental Science and Forestry (SUNY-ESF), Syracuse for supporting Amos’ Master’s degree programwhich led to the production of this work.
980 A. K. Quaye et al.
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