Full text: Proceedings, XXth congress (Part 7)

  
International Arehives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
existing approach for generation of ‘action plans’ relies on 
generic prescriptions for the entire study area based on the 
resource potentials. However, we argue that land use analysis 
requirements vary for different areas in the region and 
stratification of the region for analysis will allow a focused 
attention on the specific requirements of an area. For example, 
if in an area rice is the predominant crop, the farmers in the 
area would benefit from advise on improved management 
practices for higher yields, while in another area, characterized 
by a multitude of crops, the farmers would benefit from advise 
on suitable crop selection. Alternatively, in areas where soil 
and water conservation is an issue, policy initiatives could 
support farmers in moving from agriculture to less demanding 
activities on the land such as for instance agro-forestry. 
Therefore, identifying these areas with different requirements 
as a precursor to a detailed land use analysis would make the 
analysis better targeted and more efficient. This argument is in 
tune with the idea of focusing efforts on development of Less 
Favoured Areas (LFA) as discussed by Hazell (2000). 
In this paper, a method is described that uses the association 
between soils and broad land use classes to identify areas with 
specific agricultural land use analysis (LUA) objectives viz., 
Conservation, Crop Management Improvement and Crop 
Selection. Conservation is relevant in case of doubt about the 
suitability of the land for cropping and deals with the decision 
whether to crop the land at all. A mismatch between land 
quality and land use results in land degradation (Beinroth, 
1994); this may be associated with strong negative impact of 
use on land quality and/or its productivity too low. In practice, 
large areas of such land are not cultivated or have been 
abandoned after cultivation. In case of Crop Management 
Improvement the focus is on optimising land use management 
without change in crops grown. The objectives of a Crop 
Management Improvement process include improving water 
and fertiliser use efficiencies through identifying limiting 
production factors and alleviating their impact through 
improved management. Crop Selection relates to choosing a 
suitable crop based on land suitability, market demands and in 
rain-fed areas reducing risks of investments and production 
while facing uncertain weather-specific ^ yield-limiting 
conditions. 
The objectives of this study are to stratify an area as a pre-field 
exercise for a focused land use analysis. To attain. those 
objectives we: (a) identify relationships between soils and 
associated land cover/use and identify patterns in these 
relationships, (b) analyse the relationships observed on the 
basis of a priori knowledge of the area and the available 
statistics, and (c) verify these relationships in the field and 
through interviews with farmers. The results are intended for 
support of district land use planners in focusing on specific 
objectives in detailed land use policy formulation by district 
level land resources managers. 
2. STUDY AREA 
The study area is situated on the Deccan plateau in the western 
part of Nizamabad district of Andhra Pradesh state, India 
(Figure 1). According to soil taxonomy the soils in the study 
area can be classified into four major orders — Inceptisols 
(67%), Alfisols (15%), Vertisols (10%) and Entisols (8%). 
Geo-morphological features in the study area are of structural, 
denudational and fluvial origin. The study area is relatively flat with 
nearly 69% of the ad TT = 
in the 0-1% and 12% | 
in the 1-396 slope : S 
category. The climate p m M eese ^ 
can be described as rie Á 
tropical, with an [|| 5 a e Wee 
average annual rainfall oy : 
of 897 mm received in / 
57 days, of which Andhra , ri 
about 95% is received re 
during the southwest pie 
monsoon. The climate 
is characterised by hot 
summers (maximum 
mean monthly about 40 
°C) and generally cool and dry winters (minimum mean monthly 
about 13 °C). 
  
\ 
? Bichkunda 
J 
NE SII 
  
  
  
Figure 1: Location of Study area 
Administratively, the study area comprises the mandals' Kotgir, 
Birkur, Bichkunda, Madnur, Jukal and Pitlam, with a total area of 
about 1300 km”. It comprises 220 villages and a population of 
294,000 (Census of India, 2001). Historically, agriculture is the 
primary occupation of the local population with about 80% 
depending on it for its livelihood. Total agricultural land is about 
90,000 hectares and non-cultivated areas with or without serubs 
about 18,000 hectares. Annual per capita income of the farmers is 
Indian rupees 33,000 (approx. US$ 700). The literacy rate is about 
25%. Large numbers of farmers in the area are marginal to small 
farmers with holding sizes ranging from 0.5 ha to 3 ha. Population 
in the area 
increased 
from 
222,000 in 
1991 to 
294,000 in 
2001, an | on 
increase of 20%] 
about 
3.2% per 
year 
(Chief 
Planning 
Officer, 1991, 2001). Statistical data from the same source also 
indicate a reduction of 20% in area of permanent pastures and an 
increase of 34% in agricultural area during the same period (Figure 
2). These statistics indicate that the land resources in the area are 
under pressure, due to increased population pressure. Hence, the 
Deccan plateau of central India (of which the study area forms a 
part), consisting of fertile soils derived from basalt, where 
cultivation began many centuries ago and soil loss is expressed in 
meters rather than in millimeters, is a typical example of the 
worldwide problem of increasing pressure on land as a result of 
rising population (Hudson, 1987). This problem and its 
consequences for arable and pastoral production strategies and 
environmental degradation have been discussed extensively and 
fundamentally by for instance Boserup (1965) and Mortimore 
(1995). In line with Boserup’s (op. cit.) reasoning Eswaran et al. 
(2001) state that high population density does not necessarily lead to 
  
  
  
Population BarrenLands 
Change 1991-2001 
Cropped Lands Pastures 
Categories 
Figure 2: Land cover change area 1991-2001 
  
! A mandal is an administrative sub-division of a district. 
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