W. Andriesse et al., MULTISCALE CHARACTERIZATION OF INLAND VALLEY AGROECOSYSTEMS IN WEST-AFRICA, Netherlands journal of agricultural science, 42(2), 1994, pp. 159-179
Inland valleys are the upper reaches of river systems, comprising vall
ey bottoms and minor floodplains which may be submerged for part of th
e year, their hydromorphic fringes, and contiguous upland slopes and c
rests. Valley bottoms and hydromorphic fringes are estimated to occupy
between 22-52 million ha of land in West Africa. In spite of their po
tential for agricultural use, they are only marginally used and with l
imited success. The high physical and biotic complexity and heterogene
ity of inland valleys explain why little progress has been made in the
systematic characterization of inland valley systems. We propose a mu
lti-scale agro-ecological characterization with increasing detail at f
our levels: macro level (scales between 1:1,000,000 and 1:5,000,000),
reconnaissance level (1:100,000-1:250,000), semi-detailed level (scale
s 1:25,000-1:50,000), and detailed level (1:5,000-10,000). Methods of
characterization at each of these levels are discussed, and examples o
f actual applications are given, as well as the mechanisms applied in
desaggregation (scaling down) and aggregation (scaling up) between cha
racterization levels. This approach allows (i) a systematic descriptio
n of (different) inland valley agro-ecosystems; (ii) identification of
constraints to sustainable agricultural use; (iii) targeting and impl
ementation of research; and (iv) extrapolation of research results and
transfer of newly developed technologies to other areas with similar
agro-ecological conditions. Agro-ecological characterization of inland
valleys carried out so far, shows that variation in (bio)physical and
land use factors is considerable, both between levels and within vall
eys. The set of descriptors now developed, allows for extrapolation in
particular of the relation between biophysical driving factors and ac
tual land use. Besides, it allows the identification of geographic are
as where improved management is promising, as well as indications on t
he types of improvement required to overcome constraints.