Side 56
Abstract
Land use pattern dynamics
at the local level significantly influence land cover
changes and thus global environmental change. Expansion
of cultivated land may mirror increased demographic
pressure, climatic changes and soil degradation.
The paper illustrates how
subsistence farmers in semi-arid West Africa may alter
their land use patterns in response to increased
demographic pressure and environmental constraints. It
presents an analysis of land use changes from
South-Eastern Burkina Faso. Field measurement, household
interviews and interpretation of a series of
geometrically corrected aerial photos from 1956, 1972
and 1994 provide the background for a precise
characterization of the cultivation expansion process
and its relationship to socioeconomic and biophysical
conditions for the agricultural system. Field expansions
in the order of magnitude of 435% in 40 years are
documented. Farmers' options and strategies to respond
to rapidly increasing demographic pressure and declining
natural resource potential are discussed in the
light of theories on transformation of agricultural
systems. It is concluded that the land use changes in
the study region are approaching a critical point of
saturation of arable land. It is, however, also
emphasised that a 'Sudano-Sahelian Model' for land use
change hardly exists. Sharply contrasting experiences
occurring at micro scale need to be incorporated in
conceptual models of the evolutionary trends in land use
systems.
Key
words:
Sudano-Sahelian Zone,
Agricultural Systems, Land Use.
Tina Svan
Hansen & Anette Reenberg: University of Copenhagen,
Institute of Geography, Østervoldgade 10, DK-1350
Copenhagen K.,
Denmark.
Geografisk
Tidsskrift, Danish Journal of Geography 98: 56-70.
During the latter half of this
century the majority of global land cover changes have
occurred in the tropical regions, among these, the
Sudano-Sahelian region. Land cover and land use changes
are environmentally significant in their own right. They
degrade or enhance the land's resilience and capacity
for sustained use (Turner net al. 1995). Land
cover might be changed by natural processes (Tucker et
al. 1991), but increasingly important is the impact of
human land use aimed at producing agricultural products.
Thus, in the context of human impact on the environment
it is a major task to specify the trajectories of land
use changes. Inasmuch as agroecosystems are spatially
complex, local specificity must be included in the
analysis of resource management dynamics.
The objective of
this paper is to evaluate in what ways
subsistence
farmers in semi-arid West Africa contribute to
this
process of change by altering their land use patterns in
response to increased demographic pressure and
environmental
Parameters that measure land
use intensification or expansion of agricultural land
play an important role in many recent works which
address the environment-population nexus (see eg
Brookfield 1995) or which discuss the cycle of
unsustainability linking degradation of natural
resources to human land use strategies (see eg Greenland
et al. 1994). Expansion of agricultural land and land
use intensification are frequently used indicators of
transformation of agricultural systems. Land use
intensification caused by demographic pressure is
generally associated with environmental degradation
(Sanchez & Leakey 1996).
The global validity of
conventional wisdom within these areas of natural
resource management research has been questioned (Tiffen
et al. 1994; Leach & Mearns 1996; Raynaut 1997;
Adams & Mortimore 1997). It is still more
Side 57
frequently argued that while
global scale population growth is one of the main
driving forces of environmental change, there are
significant local variations in the interrelationship
between people, food production and environmental change
(Uitto & Ono 1996). Several key issues need to be
revisited in a multidisciplinary context to understand
the prevailing resource management strategies and the
most probable future development. One important issue to
address is land use dynamics with the aim of
understanding which forces drive land use changes in
various environmental, socioeconomic and cultural
contexts.This, in turn, will be a valuable basis on
which to developthe much needed conceptual framework for
models that are capable of extrapolating and
generalising local observations to expected trends at
the regional, national and global level (Scoles et al.
1994).
Changes
in Agriculture in Response to Population Growth
A comprehensive
theoretical literature addresses the process
of
change in agricultural systems under changing
environmental,
demographic and socioeconomic
conditions.
Simple cause-impact
relationships between increased population size,
agrarian change or eventual collapse of the ecological
system have dominated reflections on the role of
population growth. The neo-Malthusian school of thought
sees population growth as leading to irreversible
degradation or depletion of resources (eg Meadows et al.
1972; Scott 1979). Demographic pressure is believed to
lead to cultivation of agriculturally marginal land or
to unsustainable use of existing fields. However, more
optimistic theoretical points of view have been
emphasised and exemplified by several researchers. They
support the school of thought related to the work of
Boserup (1965) who claimed that the increase in
population density or land scarcity was an independent
variable that could trigger agricultural
intensification. They state that there is no simple
relationship between population growth, land scarcity
and expansion of cultivated land (eg Tiffin et al. 1994;
Christiaensen & Tollens 1995). On the contrary, this
school of thought sees population pressure as a factor
that might drive farmers to innovate agricultural
production and mitigate resource degradation with the
help of new land use practices. Netting (1993:276-277)
underlines in a detailed discussion that the systemic
interaction triad of
population, environment/land
and agricultural methods/ technology has been conceived
in different way by Malthus, Marx and Boserup, but also
suggests that Malthus and Boserup are not contradictory
but complementary.
Turner et al. (1993) suggest
an elaboration of Boserup's theory. It asserts that most
Third World farmers' behaviour is determined by a
composite of consumption and commodity rationales and
that agricultural change is driven by the joint demands
placed on it. The relative importance of either the
consumption or the commodity driven impact depends on
the level of subsistence in the system. The access to a
local market is important to ensure an incentive to
intensify (Lele & Stone 1989; Stroosnijder 1994) and
to ease access to production means (Tiffin et al. 1994).
Thus, a certain minimum level of regional population
density, maybe beyond that found in eg the Sahel, can be
seen as crucial to ensure a potential for agricultural
intensification (Snrech 1994). Overall, however, it must
be acknowledged that it is difficult to translate these
global theories into operational characterizations at
the local level (Serpantié 1993).
Two parameters,
expansion of cultivated land and
intensification of
land use practice, are crucial in these
theoretical
considerations of agricultural change.
Geographic expansion is
perhaps the most direct reaction to the stress of
population pressure caused by population growth or a
declining resource base (Netting 1993:276). If vacant
land is available or if land is obtained by conflict or
forcing out other users, the population density will
remain low and allow the cultivators to continue their
labour-efficient land use practice. This proposed trend
corresponds to the second phase of Bilsborrow and
Ogendo's (1992) conceptual framework in which the
population driven changes in land use are seen to be
manifest in various forms, including land tenure
arrangements, expansion of agricultural land and
intensification of agriculture, which are, however
sometimes consecutive, concurrent or even cumulative.
They suggest that the effects of population pressure are
likely first to be felt through changes in tenure
arrangements. The second phase of adjustment is
expansion of land. The third phase is adoption of new
technologies, the distinctive features being
intensification and increase in land productivity. The
last response in the population/land use continuum, the
fourth phase, involves a fertility reduction, which can
be mitigated by out migration.
The degree of
intensification of resource utilization in
tropical
agricultural systems is frequently characterized by
Side 58
the type of fallow that has
been adopted. Boserup introduces a suite of fallow types
that represent increasing frequency of cropping. Other
equivalent suggestions are presented by Ruthenberg
(1980). The majority of these rely on a 'land use
factor', which relates the length of the cropping plus a
fallow phase to the cropping phase. A precondition for
this way of characterizing the land use system is that
shifting cultivation is practised. Whereas this is
certainly a valid assumption for many tropical
agricultural culturalsystems, it has sometimes been
overlooked that it is not always the case. Based on
examples from West Africa, Serpantié (1993:62)
underlines, however, that permanent and shifting
cultivation might correspond individually with different
cultures or ecosystems, which are not likely to change
because of demographic pressure or diffusion of
innovations. Further, he emphasises that the development
in West African agricultural systems frequently does not
match the one proposed by the Boserupian theory. Rather,
when arable land is saturated, the increased pressure on
land is compensated for by out migrations (Netting 1993;
Webber 1996; Nielsen et al. 1997). Therefore, the
application of land use indices for characterization of
the state or conditions (degree of pressure) of a
certain agricultural system is not as straightforward as
theories suggest. This does not, however, imply a
general dissociation from the theories. It only proposes
an elastic preconceived opinion about the inherent
characteristics of agricultural systems.
Boserup's model of
intensification is seen to be revolutionary in part
because it questions technology as the sole engine of
agricultural change (Netting 1993:270). In accordance
with such lines of reasoning are reflections and
empirical observations of adaption of animal-traction
ploughs. Pryor (1985) and Herzog & Huis (1990) have
shown that ploughs do not always increase labour- or
area productivity; the amount of work input per farm may
even rise. Only at higher population densities do
ploughs offer substantial advantages (Pingali 1987), as
they can be a means to increase production, although not
necessarily with regard to yields per hectare. This
explains why the introduction of ploughs is not seen as
an attractive alternative to hoe cultivation by farmers
in low density areas.
Much remains to be looked into
to get to grips with the complex process of land use
change. Further insight can, however, be obtained
through precise recordings of land use changes and other
parameters that influence farmers' decisions on
agricultural strategies.
Materials and Methods
The Regional Setting
The study site, Ningaré, is
located in the Boulgou province in the south-eastern
part of Burkina Faso that belongs to the Sudanian
agroecological zone (Figure 1 and Figure 2). The average
precipitation is 905 mm (1922-1992), but rainfall varies
from year to year and a significant decline can be
observed in the long-term average since the early 1970s
(Figure 3). The region is primarily dominated by
agriculture. Parts of it, especially towards the east
and in connection with river valleys, are left as
natural and semi-
Figure 1: The
location of the Boulgou Province.
Figure 1: The
location of the Boulgou Province.
Side 59
Figure 2: The
location of Ningaré village territory (Basis map:
I.G.N.- France Topographical map, original 1:200000).
natural vegetation and used in
a more extensive way (a pastoral zone, fuelwood etc.).
Cultivation intensity varies, however, significantly. A
rough estimate of the percentage of cultivated land
calculated from a SPOT satellite image (Reenberg &
Dybkjær 1996) reveals a variation between 10% and 74%
(Figure 4).
Figure 4:
Variation in cultivation density in Ningaré and
surroundings (fields as % of total area) calculated from
a SPOT satellite image (Sept. 1994). The grid size is 5
km. The UTM-coordinates for the upper left corner are
744.950; 1.326.350. Nine intensity classes are shown;
10-19% (light grey), 20-29%, 30-39%, 40-49%, 50-54%,
60-64%, 65-69%, and 70-74% (black) (Reenberg &
Dybkjær 1996).
Figure 3: The
annual precipitation in Tenkodogo from 1922-1992 yearly
figures at five-year cumulative average (Source:
C.R.P.A. C.E. Tenkodogo).
The main agricultural
activities are millet and sorghum cultivation,
supplemented by cowpeas, groundnuts, peas, rice and a
variety of minor crops without any significance with
regard to acreage cultivated. The technological level
varies considerably within the region. In some villages
most farmers own and use ox-ploughs for preparation of
the soil and for weeding, whereas ploughs and draught
animals are virtually absent in other villages leaving
the farmers to use the traditional hoe for all
activities. Locally there are almost no possibilities of
finding jobs outside the agricultural sector. The
absence of remunerative opportunities has stimulated out
migration of young men to eg Cote d'lvoire. Contrary to
the migration pattern known from northern Burkina Faso
(Claude et al. 1991), where young men return to the
villages to participate in cultivation, they are absent
throughout the year.
The village, Ningaré, was
chosen to represent "a typical village" in terms of not
being close to a large market or receiving special
attention from development projects, etc. As it appears
from Figure 4, Ningaré's village territory is
characterized by being located in or at the border to
areas with low cultivation intensity. Ningaré is, like
the entire region, inhabited by a mix of three ethnic
groups, Bissa, Mossi and Peul (Fulani). The population
is estimated to be
Figure 2: The
location of Ningaré village territory (Basis map:
I.G.N.- France Topographical map, original 1:200000).
Figure 4:
Variation in cultivation density in Ningaré and
surroundings (fields as % of total area) calculated from
a SPOT satellite image (Sept. 1994). The grid size is 5
km. The UTM-coordinates for the upper left corner are
744.950; 1.326.350. Nine intensity classes are shown;
10-19% (light grey), 20-29%, 30-39%, 40-49%, 50-54%,
60-64%, 65-69%, and 70-74% (black) (Reenberg &
Dybkjær 1996).
Figure 3: The
annual precipitation in Tenkodogo from 1922-1992 yearly
figures at five-year cumulative average (Source:
C.R.P.A. C.E. Tenkodogo).
Side 60
Figure 5:
Locations of fields in the sample area (aerial photo
from 1994).
862 inhabitants (1995) of
which more than 50% below 15 years. The size of the
village territory is 62 square kilometres.Hence, the
population density is 14 persons per square kilometre.
Figure 5:
Locations of fields in the sample area (aerial photo
from 1994).
Land Use System
Characterization
The present study concerns
changes in agricultural strategies and the corresponding
alterations in land use practice and land use patterns.
Different aspects of human resource management decisions
and their impact can with advantage be referred to
different spatial levels (Meentemeyer 1987; Fresco &
Kroonenberg 1992; Lambin 1993; Andriesse 1994; Turner 11
et al. 1995; Reenberg 1996). Therefore, data collection
was carried out at regional, village, household and
field level.
Household specific
information on socioeconomic parameters and land use was
obtained from a survey in the autumn of 1995. Baseline
information about the area: economic, cultural and
religious aspects, as well as informationconcerning the
farming system, was collected in a pilot phase, which
also provided the background for a strategic choice of a
study village. Ningaré village is large. Thus, only a
part of the total village territory was selected for
detailed studies at household level (Figure 5) -
hereaftercalled the sample area. All fields (107)
cultivated, abandoned or fallowed by the 24 compounds in
the sample area were included in the study, despite the
location of the fields. Furthermore, fields from 16 of
these households were selected for in depth analysis.
Quantitative and qualitativedata on socioeconomic issues
and land use practices
Side 61
Table 1: Main parameters collected
in the household survey. The survey was carried out with
a wider scope than the present article. Thus the table
lists more information than that reported in the present
context.
were gathered by a
questionnaire survey (cf. Table 1), informal interviews,
group interviews, social and wealth ranking surveys, and
transect surveys. GPS measurements in the field in
combination with visual interpretation of aerial photos
were used to geo-refer household/field
specificinformation collected in the questionnaires. All
data were entered into a data base in order to
facilitate data handling.
Table 1: Main parameters collected
in the household survey. The survey was carried out with
a wider scope than the present article. Thus the table
lists more information than that reported in the present
context.
Land Use Mapping from
Field Measurements and Aerial Photos
Statistical or cartographic
information on land use, its spatial distribution and
its change in time are not immediately available for
agricultural systems in many less developed countries. A
combination of mapping in the field and aerial photo
interpretation has therefore been applied in the present
study.
Aerial photos from the years
1956, 1972 and 1994 provide the material used to monitor
the land use pattern dynamics (see Table 2). The photos
were scanned into a digital format (300 dots per inch).
The 1994-photos were rectified individually to UTM
coordinates by identification of corresponding landscape
features in a SPOT satellite image covering the village
territory. The 1956 and 1972 images were subsequently
rectified to the corrected 1994ph0t0, since aerial
photos reveal more details suitable as fix-points.
Finally the central part of the photos from each year
were assembled by the mosaic function in the
CHlPSprogramme. CHIPS is an image processing software
which has been developed by the CHIPS group at the
Institute of Geography, University of Copenhagen.
The mapping of cultivated land
for the entire village territory was carried out through
visual interpretation. Large variation in greytone level
and quality within and between the photos did not allow
for a classification based on digital values. The
identification of fields was supported by stereoscopic
analysis of the photos and ground truth observations
from the fieldwork. The latter consist of land use
transects as well as individual fields identified on the
photos during field work.
The accuracy of the final
land use maps digitized on the aerial photos is
influenced by the quality and the scale of the photos.
The 1994 photos were recorded in October, a sub-optimal
time of the year for identification of cultivated land
due to the abundance of vegetation on fields as well as
in the bush. Photos from 1956 and 1972 were more
satisfactorily recorded during the dry season and thus
easier to interpret, yet the 1956 photo has an inferior
resolution.The
Table 2: Aerial photos applied in
the analysis of land use dynamics.
Table 2: Aerial photos applied in
the analysis of land use dynamics.
Side 62
Table 3: The
social ranking, made by five selected farmers, divides
households in the sample area into six groups. The
criteria selected by the farmers for the ranking were,
in order: cart, plough, cattle and size of the
household.
ution.Theprogramme
calculated accuracy of the entire rectified images is
below 50 metres for the 1956 photoj and 23 metres for
1972 and lower for the applied, centra part of the
images.
The fields selected for
detailed registration were ident ified on an overlay on
the aerial photos from 1994 during the fieldwork and
subsequently digitized on the assemblec aerial photo
from 1994. Thus, for this subsample of house holds the
material collected enables a direct reference between
the parameters that characterize the decision unit« (the
households) and those that characterize the land use
pattern (field size and field location) (cf. Reenberg
& Fo§ 1995).
Table 3: The
social ranking, made by five selected farmers, divides
households in the sample area into six groups. The
criteria selected by the farmers for the ranking were,
in order: cart, plough, cattle and size of the
household.
Result;
Labour Constraints
Only inhabitants of the
village take part in the agricultura work. Thus, the
labour force is to be found among the 20f persons that
live permanently in the 24 households. The average
household size was 8.54 persons; this figure
Side 63
covers a considerable
variance of 2-20 persons per household. 113 persons
participate actively in the agriculturalproduction. All
farming operations, except soil preparation and weeding
by plough, are carried out by all adults (over the age
of 12-14 years), regardless of sex. In 15 households one
or more sons were on migration (in total 25 persons).
Thus, nearly 20% of the potential working force was
unavailable. Whether this is compensatedfor by money
sent back to the family is difficult to estimate,
because the subject is taboo. Only one head of household
officially stated that he received money from migrated
sons. However, according to him and the 'Chef du Terre'
the number is considerably higher.
Four parameters (cart, plough,
cattle, and size of the household) were selected as
classification criteria by the farmers in a social
ranking survey in which the 24 households were ranked
according to their social rank (Table 3). The number of
adults was decisive for the ranking. Household number 12
ranked in group number 6 is an excellent example. The
farmer owned a plough and cattle, the only reason given
for the placement of his household was the farmer's
unfortunate capability to reproduce. The key parameters
were all characteristic of the individual households'
capacity and constraints to expand the cultivated
Various factors influence the
size of fields. Labour is considered the most limiting
factor by all households. Especially the most labour
demanding activity, weeding, constrains the size of the
cultivated area. Further, factors such as the amount of
food needed to feed the family and availability of a
plough were mentioned as having a significant influence
on the field size. On the other hand, availability of
land was not considered a constraint, and only in one
exceptional case distance to the fields was claimed to
limit expansion.
Households which are able to
to do so, supplement their available labour force by
inviting other farmers from the village. The invitations
are solely carried out in the labour demanding weeding
period, but they may have a high impact on the yield if
the timing is right and the attendance is considerable
(over 10-15 persons). The payment for one day's work is
a meal. Farmers who accept invitations are often 'poor'
farmers that save food for the family by accepting the
invitation. 11 households had invited other persons to
help weeding. Most of these were among the highly ranked
households, yet three belonged to the group of 'poor'
households (secondary informants explained that this was
made possible by money received from migrating sons).
Figure 6: The
map shows; a)The location of the fields in the sample
area (24 households) = the rectangle located in the
eastern part of the territory; and b) the location of
the bush fields of the 16 households that were selected
for further investigation = the five rectangles located
in individual parts of the bushterritory. Actively
cultivated fields (1995) are hatched.
The plough is considered a
labour saving tool, since fields prepared with a plough
need one less weeding. 91 out of the 107 fields were
prepared with a plough. All manually prepared fields,
except one household, were owned by socially low ranking
households. These households are forced to hire the
plough or to borrow the plough by paying back in labour
(cf. Table 3). The number of prepared fields is thus
determined by the financial capacity of the households.
Thus, in
various ways different processes that relate
Figure 6: The
map shows; a)The location of the fields in the sample
area (24 households) = the rectangle located in the
eastern part of the territory; and b) the location of
the bush fields of the 16 households that were selected
for further investigation = the five rectangles located
in individual parts of the bushterritory. Actively
cultivated fields (1995) are hatched.
Side 64
Table 4: Year
of establishment of fields versus distance in kilometres
from the compounds in the sample area.
more or less
directly to the issue of labour constraint contributeto
enhance the gap between enabled and less
enabled
households in the village.
Table 4: Year
of establishment of fields versus distance in kilometres
from the compounds in the sample area.
Spatial Distribution of
Fields
The principal structure of a
farm unit is a compound surrounded by its fields, all of
which are cultivated annually. In addition, most
households in the sample area cultivate one or several
bush fields. A bush field is a field outside the
compound area. These fields may be only a hundred metres
away, within a short walking distance, or up to ten
kilometres away. Households that cultivate remote bush
fields have huts which one or several household members
inhabit more or less frequently during the cultivation
season. Fields close to the compound are the ones first
prepared and sown and the only ones directly supplied
with manure.
105 out of the 107 fields
recorded in the questionnaire survey are located within
Ningaré's own territory. The average number of fields
per household is 4.46, but this figure covers
considerable variations. Most women have a plot that
they crop individually. It is normally small and placed
as a prolongation of one of the household fields in the
bush area and is not included separately in the mapping.
Figure 6 shows in detail the
location of fields in the sample area. The actually
cultivated land is hatched (and marked with the
household number), while black circles indicate
compounds. Areas within the full drawn lines are land
that can be cultivated by the farmer without
interference or permission from others. Further, the map
shows five subsections of the bush territory which
farmers from the sample area cultivate, yet fields in
the bush area represent only 16 households selected out
of the 24. People who are born within the village
territory have in principle free access to establish
fields on uncultivated or unclaimed land. However, the
larger households which have occupied the land for many
generations have the claimed right to selected areas
both in the residential and the bush areas. A villager
or a stranger can be granted permission to cultivate
claimed land by the 'land owner', but does not get a
claimed right to the land. Further, the 'landowner' has
the right to reclaim the land if he plans to start
cultivating the given area. Any extension of the field
is to be discussed with the person who has the claimed
right to the land. Moreover, the field cannot be
inherited by the next generation. However, it is unusual
not to let the next generation take over the land as it
is difficult to reclaim land cultivated for a long time
by another family (Reenberg & Lund 1997). A
rejection of a demand for land is considered an insult,
as is reclamation of land if it is unnecessary.
Land in the bush contributes
considerably to the overall acreage. The average
cultivated area per household is 1.79 hectares, of which
two thirds is in the bush. The average acreage per
producer (defined as an adult person, mostly over 12-14
years, participating in agricultural production) is 0.44
hectares. Yet it varies considerably (0.16-1.27 ha),
depending on the available tools, the strength and
health of the person and ability to invite persons
during weeding.
Field Histories
Before 1980
none of the households had established fields
at a
distance of more than 4 kilometres from the
compounds(cf.
Side 65
pounds(cf.Table 4). In the
1980s, the number of new fields increased considerably
in the already cultivated zone as well as in the bush
area more than 4 kilometres from the compounds. The rate
of expansion has decreased again in the 19905.
The expansion pattern can be
related to several factors. The increase in the 1980s
was partly due to a new trend: women established their
own individual fields. In 19 out of 24 households women
now cultivate an individual field that, with few
exceptions, was established in the late 1980s or early
19905, primarily between 2 and 4 km from the compound
and in a prolongation of the households' existing
fields. The establishment of these fields was caused by
a 'push-pull' effect: A lowering of the ground water
level forced the women to abandon their small vegetable
gardens in the hollow sites near the streamlets. To
compensate for the loss in personal income, they started
to cultivate individual fields in the bush area, helped
well on the way by favourable market prices for
groundnuts at the same time. Within a few years the
individual fields became 'status' and a new way of
obtaining personal income, and thus nearly all women
established a field.
The fields
established more than 4 kilometres from the
compounds are larger fields cultivated by entire
households.It
is typically the most enabled farmers
(Table 3)
Figure 8: Land
use map 1972.
Figure 9: Land
use map 1994.
Figure 7: Land
use map 1956.
Figure 8: Land
use map 1972.
Figure 9: Land
use map 1994.
Figure 7: Land
use map 1956.
Side 66
areas; need to abandon or
fallow old fields because of loss in fertility; or be
prevented by neighbours from expanding the already
cultivated fields to meet food requirements. A priori,
the farmer tends to expand the already existing fields
rather than establish a new field. This is due to both
the initial cost of removing trees from new land and to
the fact that the farmers seek to have their fields as
connected as possible. Coherent fields facilitate the
control in terms of weeds and matureness of the crops.
Land Use Pattern
Dynamics at Village Level
The scanned, geometrically
corrected aerial photos permit precise monitoring of the
field pattern changes in Ningaré from 1956 to 1994.
Figures 7 to 9 reveal how the cultivated land has
expanded from its original location in the western part
of the territory to a more uniform distribution that
covers most of the village territory. As documented
above, the expansion to more remote parts of the
territory can be seen as a result of a gradual increase
in the acceptable travel distance between field and
compound, which in part is made possible by new
technology. The eradication of river blindness in 1970s
has further contributed to make the low-lying regions in
the eastern part more attractive to farmers.
This process of field
encroachment is in accordance with the increased demand
for land caused by a higher population pressure and by
decline in the biophysical production potential. Precise
population figures are not available. Official
population statistics and forecasts normally suggest a
yearly increase in the order of magnitude of 2.7% The
rate of field expansion (Table 5) is 3.1% in the early
phase (1956-1972), thus, a figure that corresponds to
the generally accepted estimates of the population
increase in the region. In the second phase, the field
acreage expansion (4.6%) exceeds by far the population
increase. The reason for this may be the persistently
low rainfall in the years 1973 to 1988 (cf. Figure 3)
which influenced the yield level. Further, there has
been an immigration of new farmers to the territory
beyond the normal level for villages in the region.
Finally, it is likely that soil nutrient depletion
contributes to a decrease in the biophysical production
potential, yet the present study does not provide the
empirical evidence needed to verify this.
Table 6: Land
use change categories: site specific development of land
use classes from 1956 to 1972 and 1994 (letters indicate
the use of land in the corresponding year).
Tabel sa: The
size of the cultivated areas in square kilometres as
well as % in respectively 1956, 1972, and 1994.
Table sb: The
increase in cultivated areas in the periods between
1956-1972, 1972-1994, and 1956-1994 in square kilometres
and per cent. Growth rate, r, calculated as CA, =
CAO (1 + r)' (Figures are based on part of
the village territory (58.4 km2) which is
covered in the three years).
Findings based on farmers'
information during the household survey reveals that
only 11 out of 107 fields are perceived by farmers as
abandoned or fallowed in the time period investigated. 7
of these have been recultivated. Various reasons such as
water logging, soil degradation, migration and age were
mentioned as reasons for giving up cultivation.
The digital format of the
aerial photos facilitates analysis of land use rotation.
Land use maps digitized from 1956, 1972 and 1994
respectively are easily superimposed in the GIS. Thereby
different patterns of land use change can be identified
and their location and relative importance in terms of
areal extension can be calculated. In the present
context it has been chosen to distinguish between two
land use classes only; cultivated land and
non-cultivated land. This leads to eight land use change
classes - or developmentpaths
Table 6: Land
use change categories: site specific development of land
use classes from 1956 to 1972 and 1994 (letters indicate
the use of land in the corresponding year).
Tabel sa: The
size of the cultivated areas in square kilometres as
well as % in respectively 1956, 1972, and 1994.
Table sb: The
increase in cultivated areas in the periods between
1956-1972, 1972-1994, and 1956-1994 in square kilometres
and per cent. Growth rate, r, calculated as CA, =
CAO (1 + r)' (Figures are based on part of
the village territory (58.4 km2) which is
covered in the three years).
Side 67
opmentpathsfor the land use
in course of the three registration years, as sketched
out in Table 6. With the reservations needed because of
the inaccuracy of the overlays that remains in spite of
the correction of the photos (see above), some
interesting observations can be made from the areal
statistics. A large proportion (> 80%) of the land
that was cultivated in 1956 was abandoned or fallowed
some time in the years that followed. As regards more
recently cultivated land, the land use class which
represents land cultivated only in 1972 plays a major
role, only surpassed in acreage by the class that
represents cultivations after 1972. These figures
indicate more dynamicsin land use than revealed from the
farmers' reports on field histories. On the other hand
they do not show the regularity in alteration that would
indicate the existence of real rotational fallow.
These observations points to
some interesting characteristics of the land use
changes, and illustrate at the same time how farmers'
responses in interviews might not suffice to
characterize land use patterns in detail. The results
derived from the comparison of the series of land use
maps reveal a significant micro-rotation between
cultivated land and fallow within the individual farm
unit. Thus, the role of rotation is much more prominent
than expressed in the interviews. Apparently, farmers do
not report uncultivated parts of their main territory as
fallow land. The rotation is not perceived and explained
by farmers as a fallow practice. The micro-rotation is
rooted in the pressing need for restoration of a
declined soil fertility caused by a certain number of
years of continuous cultivation. Yet, land is also
abandoned due to erosion or lack of labour at the
household
Discussion and conclusion
Possibility, Incentive
and Capacity to Expand
The study of Ningaré has shown
that field expansion onto idle bush land dominates
farmers' current response to changing conditions. Seen
from a theoretical point of view (eg Brouwers 1993;
Tiffin et al. 1994), the low population/arable land
ratio within the village territory itself favours such a
decision, yet the survey reveals that other parameters
highly influence the possibility, incentive and capacity
to expand cultivated land.
It was
consistently emphasised in the survey that manpower
available for agricultural work is the most sig-
nificant bottleneck. However,
the considerable between household variation in the
average area cultivated per producer emphasises that
many other parameters determine the actual conditions at
the household level.
The households' expansion
strategies are in reality closely related to access to
ploughs and carts. Households that have been able to
create a sufficient surplus from agriculture or from
off-farm influx of capital (eg by credits or from
migrating family members), can invest in or hire new
technology. Although the use of ploughs may increase the
labour input per hectare (Serpantié 1993) it may also
allow the farmers to cultivate a larger surface to
compensate for decreasing yields.
Minor, although significant,
alterations in land use patterns at the micro-level are
related to women's shifting priorities. More favourable
market conditions for groundnuts have in combination
with deteriorating environmental conditions inspired
new, gender specific land use strategies. These will
have an impact on the overall future development
Land rights are frequently
expected to constrain possibilities of expanding
cultivation already at an early stage (Bilsborrow &
Ogendo 1992), yet in the present case, access to idle
land is best characterized as almost free to all, even
people coming from outside the village. Also in more
densely populated village territories in the region,
access to land has so far been ensured by culturally
determined, informal agreement with other territories in
which land is more abundant (Reenberg & Lund 1997).
The land use changes may be
characterized as presently approaching a critical point
of saturation of arable land. The development seems,
however, to take place in a way that enhances the gap
between enabled and less enabled farmers' relative
importance as users of land. The betteroff farmers
pocess the capacity to expand their fields and will
dominate land use decisions in an increasing proportion
of the territory. It will be important to incorporate
such new trends at the farm level in models, if they are
to effectively capture possible, future evolutionary
trends.
Does a "
Sudano-Sahelian Model for Land Use Change " Exist?
Sweeping generalisations
have been brought forward to describe the development
trends in contemporary Sudano- Sahelian agriculture.
Cultivation is expanded onto marginalland (Scott 1979;
Vierich & Stoop 1990; Snrech 1994; Webber 1996);
increased degradation of upland
Side 68
fields leads subsequent
abandonment (Vierich & Stoop 1990); demographic
pressure causes decreases in fallow length and leads to
a vicious circle of degradation (Greenlandet al. 1994),
etc. These observations naturally hold true for the
empirical background on which the statements are based.
The example presented in this article reminds us,
however, that a "Sudano-Sahelian Model for Land Use
Change" can hardly be sketched out.
In many parts of the
Sudano-Sahelian zone, land of approximately the same
quality as the one presently cultivated is in abundance.
Under such conditions demands for crops can be satisfied
by bringing more land into production, land that is only
more marginal as to travel distance between the fields
and the homestead or water supply. In the case of
Ningaré such options exist even within the village
territory. At province level, sharply contrasting
conditions of field density were observed. Examples from
more saturated village territories reveal, however, that
similar mechanisms might be based on socially/culturally
land tenure arrangements with neighbouring villages (cf.
Reenberg & Lund 1997).
Rotational fallow and land
abandonment rarely play a significant role in shaping
land use pattern dynamics. It is mainly confined to
areas degraded by gully erosion. Continuous cultivation
dominates in Ningaré and in other villages in Boulgou,
in spite of relatively low population densities. This
corresponds to observations made in other parts of the
Sudano-Sahelian zone as well (Serpantié 1993; Reenberg
& Fog 1995; 80l wig 1996). The detailed, location
specific monitoring of land use history supports the
view that rotation plays a minor role in bringing land
into cultivation. Likewise, radical shifts in emphasis
between different landscape units, caused by
environmental impacts, are not a typical feature, as
known from other examples (Vierich & Stoop 1990;
Reenberg 1994; Reenberg & Paarup-Laursen 1996).
Though farmers are rational
(Richards 1988), they do not run a business but rather
manage a household. Their land use strategies are based
on risk minimizing practices, but they are also
influenced by other factors such as ethnic traditions
(Claude et al. 1991; Reenberg & Paarup-Laursen 1997)
and social status and preferences (Berry 1993; Snyder
1996). Therefore, the susceptibility of land use to
external changes cannot be completely understood without
considering such issues. This supports the observation
made by Mortimore (1995:63) on a Northern Nigerian case
"that the
regional association of rising rural population
densities with agricultural expansion hides sharply
contrasting
experiences at micro-scale".
Thus, perception of land use
dynamics should include a hierarchy of spatial scales
(Reenberg 1996). Scenarios for land use change at a
national or continental scale will be a valuable
contribution to the analysis of global environmental
change. On the other hand, these changes have to be seen
as a result of a diversity of parameters and processes
that can only be analysed at a much finer scale. The
development of a tool to effectively capture the
evolutionary trends in agricultural systems has been
neglected (Gerrity & Augustin 1995). Location
specific land use studies will make a useful
contribution in this context.
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