ABSTRACT
The paper aims to develop a methodology for a survey and study of relationship between forests and forest dwellers using the Adilabad district of Andhra Pradesh, India, as an example. The first part describes the research on establishing an integrated information system for such studies by geo-referencing forest cover, forest reserve and census village data. This is followed by a detailed analysis of spatial correlations in the distribution of tribal and non-tribal populations and their occupational patterns as a function of distance from the forest. Dynamic changes in the population during 1961-1991 and the resulting process of deforestation are presented with a view to illustrate the need for livelihoods in the face of increasing population in a subsistence economy. Finally, implications of findings for tribal development are discussed and conclusions drawn with a view to promote a location-specific (bottom up) approach to planning in the tribal regions.
INTRODUCTION
The highest concentration of the biological diversity occurs in the remaining natural forest and geographically inaccessible parts of the country. These are also the areas with highest concentration of the tribal population, who live in social and geographic isolation and partly survive on subsistence agriculture (both shifting and permanent) and partly on a range of products gathered from forests with very little processing and manufacturing activities. Thus, these people are among the poorest of the poor and most vulnerable of the vulnerable to natural calamities.
It is generally believed that the tribal people have lived in harmony with nature and customarily protect forests for their well being and to a vast number of them, forests are their well loved home, their livelihood, their very existence (Dhebar Commission Report 1961, p.125). The symbiotic relationship between forest and tribal people is well known and reported. They regard various species of forest as their kith and kin (Totems). Stephen Fuchs mentioned about the prevalence of 150 varieties of animals and 87 species of plants as totems by Mundas of Chota Nagpur in Bihar (Fuchs 1973). A recent study by the Forest Survey of India using multi-date satellite data shows (1997), however, a high rate of on-going deforestation in most of the tribal districts numbering about 150. The two observations viz. deforestation and tribal attachment to forest's, are difficult to reconcile. There must be some fundamental change in the region, which is giving rise to such improbable developments.
OBJECTIVES
With the above background in mind, I tested the following hypotheses:
Geography and ecology are major determinants of the life style and economic development in the tribal areas, resembling a land locked state.
Deforestation is arising from the need for more subsistence agriculture land to feed the growing population in an ecologically fragile and land-locked region. This vicious cycle needs to be broken to achieve sustainable development.
MATERIAL AND METHODS
Adilabad Revenue Division, containing 325 villages of the Adilabad district, was chosen for the study. The division forms a part of the Tribal Sub-plan Districts and is reported to have poverty head count ratio of 50 percent unchanged since 1980. The area was intensively surveyed during 1970s by Pre-investment Survey of Forest resources, GOI, and again in 1996 by World Bank assisted Andhra Pradesh Forestry Development Project. The variables included in the research are:
Spatial (i.e. Map) data
ecological zones (based on climate)
topography
reserve forest boundaries
village boundaries
road and railway network
location of cities and urban centers
multi-date satellite TM data for the study area
Attribute data (viz. Statistical tables: single date or time series) mostly from Census of India 1961-1991 at village level, which provide comprehensive information on ethnic composition, literacy, vocation and many other variables.
Data sources: The village level map was taken from National Census Report 1991; the control points from topographic map of the Survey of India, Dehradun and digital data like roads and cities taken from FAO Global Forest Resources Assessment 1990 GIS Archive. The Forest Cover Map was derived from Forest Survey of India.
GIS Procedure: The layers for reserve forests, blocks and villages were transformed from hard copy into digital format and geo-referenced. The following procedure was used:
The borders of the different themes (forest reserves, villages, etc.) were drawn on an acetate with a 0.2 mm pen. At least four tic marks were drawn on the acetate and their ID and coordinates reported in a file.txt.
The polygons drawn on the acetate were scanned at 200 dpi, black and white and saved as compressed.tif file.
The files.tif were imported into Arc/Info GIS and vectorized. For corresponding tic marks, tic points were added.
The cover was then edited to clean all the superfluous arcs. All the needed corrections were done.
To geo-reference the map, a cover of just tics was created and projected. The cover with the polygons was "transformed" on the tics cover earlier projected.
The polygon labels were added and coded.
Statistical analysis: A correlation analysis was performed using "proportion of tribal to total population in a village" (termed p) as the dependent variable and "other village characteristics (like altitude, distance from road, etc.)" as independent variables. In addition, a time series of demography and socio-economic data was compiled for tracing the increase of demand for more agriculture land on a per capita basis. To study the land use and forest changes, a special technique was used called interdependent image interpretation (FAO 1995).
MAJOR FINDINGS
Methodology of data integration
The study found that census maps in themselves do not provide an adequate basis for geo-referencing village maps. However, it is feasible to create a reliable village level GIS by supplementing Census village maps with control points extracted from Survey of India Maps. Other existing GIS data could also be integrated, as listed earlier, which enhance the value of village level GIS. It is hoped that the methodology of establishing village level GIS would be of wider interest in India and that National Census would consider using the approach to prepare a nationwide village level GIS database for the whole country. This will support planning of a bottom up strategy for tribal and rural development.
Correlation among village parameters
"Proportion of tribal to total population in a village" (termed p) was correlated with other village variables (see Table 2). Correlation analysis identifies key determinants of spatial distribution of tribal population: altitude, distance from road and city centers. The location on a higher altitude implies greater risks of land degradation and increased needs for soil and water conservation measures. These handicaps are over and above poor health and literacy cited earlier in Table 1. Progressive increase of distance from the market as well the nearest road means that tribal people have to spend systematically more of their energy and time than others in both selling their produce to and obtaining inputs from the market. Tribal cultivators, especially on the forest fringe, are among the poorest section of marginal farmers living under poverty line as shown in Table 1.
Table 1 shows that p is negatively correlated with distance from forest, in other words, tribal population tends to be located in forest proximity; a higher p is also associated with increasing altitude and distance from roads and city centers. Finally, the tribal population has negative correlation with total population meaning that the proportion of tribal declines as total population increases.
Table 1. Correlation among village characteristics
Village variables |
Correlation with proportion |
Distance from forest |
-0.55 |
Village altitude |
+0.47 |
Distance from road |
+0.21 |
Distance from city |
+0.46 |
Total population |
-0.36 |
Vocation as cultivators |
-0.39 |
Manufacturing vocation |
-0.23 |
Non-workers |
-0.57 |
Note: Villages with no population have been excluded to avoid division by zero.
Social stratification
Among the geographic variables, distance from forest was most significant. Therefore, data was tabulated by distance of villages from forest in three classes as given in the first column of Table 2.
Table 2. Characteristics of villages at varying distances from forest reserve
Forest distance class |
Number of villages |
Population density |
Ratio of tribal to total population |
Altitude |
Distance from road |
Distance from city |
< 1 km |
122 |
74 |
78 |
418 |
3.3 |
8.3 |
1 - 5 km |
145 |
135 |
56 |
372 |
2.6 |
5.7 |
5 km + |
98 |
195 |
30 |
249 |
2.1 |
4.9 |
Source: Census of India, 1991.
Occupational pattern in village groups
To study land use and occupational pattern of tribal and non-tribal population, villages were reclassified in two ethnic categories: 1) dominantly tribal, if the proportion of tribal to total population (p) was more than 0.5; and 2) non-tribal if the proportion was less than 0.5, both with reference to census in 1961. Statistics on the occupational pattern in the two categories of villages by forest distance class is given in Table 3.
Table 3. Occupational pattern in villages by forest distance and ethnic classes
Type of village |
Forest distance class |
Number of villages |
Village size (ha) |
Population |
Occupational pattern |
|||
Total |
Tribal |
Cultivators |
Manufacturing |
Non-workers |
||||
Non-tribal |
|
|
|
|
|
|
|
|
p < 0.5 |
1 |
33 |
1006 |
911 |
359 |
386 |
21 |
444 |
|
2 |
91 |
752 |
1328 |
235 |
504 |
58 |
674 |
|
3 |
79 |
614 |
1058 |
71 |
413 |
26 |
554 |
|
All |
203 |
740 |
1155 |
192 |
450 |
40 |
590 |
Tribal |
|
|
|
|
|
|
|
|
p > 0.5 |
1 |
89 |
776 |
396 |
328 |
192 |
3 |
185 |
|
2 |
54 |
542 |
363 |
282 |
175 |
3 |
172 |
|
3 |
5 |
512 |
420 |
284 |
201 |
4 |
202 |
|
All |
148 |
682 |
385 |
310 |
186 |
3 |
181 |
Source: Census of India, 1991 and 1961.
The following conclusions are drawn:
Cultivation is the major source of livelihood. This is marginal in nature being upland with small farm sizes and low level of inputs. The handicap, caused by ecology and geography in the form of higher off-road and on-road costs increase as p increases.
Manufacturing is the least important sector in tribal villages irrespective of the distance class. The average is 3 per village compared to 40 in the case of non-tribal villages.
Non-workers are almost the same size as workers. They mostly live on seasonal jobs and forest gathering for their survival.
Forest dependence
Hours spent to various livelihood activities are a good indication of their livelihood means. The following data were taken from an intensive survey done in a development block of Orissa with dominantly tribal population. It may be noted that forests are the sole supplier of subsistence during January to March every year extending occasionally till May.
Table 4. Time spent on various livelihood activities by Kutia Kandha Tribes in Orissa
Activities/year |
Total hours |
% share |
Days spent |
Survey particulars |
|
Wet Cultivation |
374 |
12.8 |
47 |
Total HH:1025 (1990) |
|
Shifting cultivation |
590 |
20.2 |
74 |
Population: 4090 |
|
Wage earning |
144 |
4.9 |
18 |
Size: 3.89 persons/HH |
|
Forest Collection |
928 |
31.8 |
116 |
Literacy |
: 2.9% in 1980 |
Others |
544 |
18.6 |
68 |
|
: 7.92% in 1990 |
No work |
340 |
11.7 |
42 |
Schedule tribes: 87.97% |
|
Total |
2920 |
100.0 |
365 |
|
Source: Kutia Kandha Tribes of Tumudibandh Block Phulbani District of Orissa, 1998.
Dynamic changes in village population
A comparison of population in 1991 with 1961 shows that during the 30 years total population in non-tribal villages multiplied by 1.7, but in tribal villages by 2.3. However, tribal population in non-tribal villages grew by 2.2 times and in the tribal villages by 2.1 times. This finding is strange, but could be explained by the fact that some of the growth in tribal population is due to reclassification of non-tribal into tribal to get privileges intended for the latter and partly due to their migration into tribal villages to own land by illegal means.
Table 5. Population growth in villages, non-tribal and tribal, during 1961-91
Type |
Forest |
Demographic development of village by decade and forest distance class |
|||||||
1961 |
1971 |
1981 |
1991 |
||||||
Tribal |
Total |
Tribal |
Total |
Tribal |
Total |
Tribal |
Total |
||
Non-Tribal |
1 |
114 |
444 |
134 |
591 |
254 |
744 |
353 |
911 |
|
2 |
105 |
802 |
117 |
985 |
178 |
1091 |
231 |
1328 |
|
3 |
40 |
608 |
48 |
737 |
50 |
853 |
68 |
1058 |
|
All |
81 |
668 |
93 |
825 |
141 |
942 |
188 |
1155 |
Tribal |
1 |
132 |
160 |
172 |
251 |
213 |
314 |
324 |
396 |
|
2 |
156 |
183 |
174 |
236 |
240 |
301 |
276 |
363 |
|
3 |
189 |
256 |
216 |
332 |
284 |
431 |
278 |
420 |
|
All |
142 |
172 |
174 |
248 |
225 |
313 |
305 |
385 |
Source: Census of India from years 1961, 1971, 1981 and 1991.
Deforestation trends and path of land use changes
Using the method described earlier, the following change matrix was obtained for the district.
Table 6. Land and forest cover change assessment in Adilabad district of Andhra Pradesh
Forest cover classes in 1988 image |
Forest cover classes in 1994 image |
Total historical image |
|||||||||
|
Open forest |
Long fallow |
Fragmented forest |
Shrubs |
Short fallow |
Other land cover |
Water |
Plantation |
000 ha |
% |
|
Closed forest |
|
7.0 |
|
|
0.5 |
|
5.1 |
|
|
12.6 |
30.6 |
Open forest |
0.1 |
|
|
|
3.3 |
0.2 |
6.9 |
|
|
10.5 |
25.5 |
Long fallow |
|
|
|
|
|
|
|
|
|
|
|
Fragmented forest |
|
|
|
|
|
|
|
|
|
|
|
Shrubs |
0.1 |
0.1 |
|
|
|
|
15.7 |
|
0.1 |
16.0 |
38.8 |
Short fallow |
|
|
|
|
|
|
|
|
|
|
|
Other land cover |
0.1 |
|
|
|
|
|
|
|
0.1 |
0.2 |
|
Water |
|
|
|
|
0.8 |
|
0.5 |
|
|
1.3 |
3.2 |
Plantation |
0.3 |
|
|
|
|
0.4 |
|
|
|
0.7 |
1.7 |
TOTAL 000 ha |
0.6 |
7.1 |
|
|
4.6 |
0.2 |
28.6 |
|
0.1 |
41.2 |
|
recent image % |
1.5 |
17.2 |
|
|
11.2 |
0.5 |
69.4 |
|
0.2 |
|
100.0 |
According to this study, the forest area of Adilabad district in 1994 was 649 600 ha and had declined by 29 400 ha during 1988-94 viz. by 7350 hay-1 (at the annual rate of -1.13 percent). As forests constitute major source of livelihood of the tribal people, progressive deforestation means their progressive impoverishment.
The last row in Table 6 shows that 69.7 percent of changes involve a transfer of land to other land cover (viz. agriculture). The other changes involve transformations like transfer of closed forests into open forests to shrubs, which could be termed as land degradation. The deforested and degraded lands, especially in hilly terrain, are prone to soil erosion unless proper control measures are taken to arrest it. Continuing subsistence and shifting agriculture result in reduction of yield per unit area and eventual loss of land for cultivation purposes.
If it is so happening, then what is the incentive for deforestation and whom does it serve and whom does it hurt? Continued overuse of forests also results in deforestation when all trees have been used up. The two result in less and less availability of forest produce to the local population, in absolute terms and much less in per capita terms. Worst hit are the non-workers (i.e. landless) within the tribal community.
DISCUSSION
The demographic expansion in villages in all forest distance classes, with increase of non-working population combined with decrease of forest area and land degradation must be adding to economic hardships of the forest dependent population in general. Forest Survey of India (1997) reports that deforestation is on-going in most of tribal districts of the country. This, in particular, is disturbing because the same report states: "Forests have played a key role in the tribal economy and have been a source of subsistence and livelihood to them. It is a common belief that tribals have lived in harmony with nature and customarily protected forests for their well being". Has some thing basic changed in the life and belief of the tribal people and why?
Agriculture, as practised today, contributes mainly to subsistence without securing a sustainable growth in economy to absorb the need of rising population. Investments in agriculture are not paying because the terrain is inhospitable and soils not suitable for getting high yielding crops without irrigation and fertilizer inputs. Even if they mange to produce enough, they do not have competitive advantage in marketing due to cost of transport off- and on-road. Agriculture will thus remain a source of auto-consumption only. On the other hand, financial incentive to agriculture motivates tribal people to cut down forest and engage in agriculture, even if it is not sustainable.
The agriculture production in the study area is also subject to uncertainty because of droughts, which occur every 2-3 years, when water becomes scarce even for drinking. There is urgent need to adopt water conservation and appropriate cropping practices to regulate the water supply. The impact of subsistence farming including shifting cultivation on the down stream water supply is not well known.
The productivity of agriculture outside the study area is continuously rising because of commercialization, use of relatively high level of inputs and better cropping practices. To give an example, during 1964-95 on an All-India basis, the area under wheat rose 1.6 times, total production 4.8 times and yield per ha 14 times. The increase of production is creating marketing problems and government has to intervene to support minimum prices to farmers through a procurement drive.
Instead of subsistence agriculture, the people could be provided food under the "food for work programme" of the government of India. This will take away the need for subsistence agriculture in the area and replace the same by a land use, which has competitive advantage and enables value addition and enhances the income and employment opportunities. This would, however, require techno-economic studies and land evaluation which will identify and promote ecologically as well as economically sustainable land use, keeping in view developments in side as well as out side the area. Such a change may be difficult to achieve in the existing administrative system run on departmental lines; but they have important bearing on the long-term economic development of the people in the area and need to be implemented to break the vicious cycle of incorrect land use and poverty.
The tribal people of Andhra Pradesh live in areas, which are geographically inaccessible and ecologically very fragile. Any strategy for their sustainable development must take into account these two constraints. In these areas, focus should be on building of forest assets owned by community and promotion of harvesting, processing and marketing of wood and non-wood products by the community. The greening of the deforested and degraded landscapes will result not only in sustainable development of the tribal people, but also result in direct benefits down-stream people through improvement in agricultural production due to improved soil and water conservation up-streams.
The Working Group of Tribal Development (1978-1983) recommended that tribal development and forestry development should become two integrated goals and meet the basic needs of tribal economy should be provided on priority basis in all forest schemes.
Forest products in the country have easy market outlet and are selling at relatively high prices. Many of the non-timber products have even an international market. India is exporting presently about 100 million dollars worth of non-timber forest products. A strategic question is: can the production, collection, processing and marketing of timber and non-timber products be organized which provides the tribal and non-tribal people, living in relatively inaccessible regions, a major source of income and employment, pride and power?
In the whole chain of processing and value addition, the share of primary production, which tribal people get, is a very small fraction. The idea should be to engineer a development alternative, which has comparative advantage and is sustainable in view of the local geography, ecology and social realities of the site in relation to the outside world.
CONCLUSIONS
With special reference to the area studied, the following facts have been observed which may help to solve the above puzzles:
Geography is a major limiting factor, which makes buying inputs from market and selling outputs to it more expensive and adds to problems created by ecological factors.
Ecology does play a key role in constraining the land use options available to the people. The land is marginal in nature and can support subsistence agriculture and does not provide a basis for agricultural self-reliance.
The tribal population has more than doubled in the last 40 years, increasing the pressure on land, both under forests as well as agriculture. Non-working populations pose a serious social problem.
There has been significant influx of non-tribal population in the tribal areas, which adds to existing pressure on forest and agriculture lands.
The agriculture production outside the tribal lands, compared to the 1960 level, has increased four folds due to continuing R&D, availability of inputs and Government support to production in form of subsidized fertilizer, irrigation, etc; and price support to keep agriculture prices from falling.
Land use incentives (in particular for agriculture) may be serving cross-purposes and providing incentives for deforestation and non-sustainable use of land and hurting the interest of forest gatherers, who survive on forests.
Manufacturing is not well developed in tribal villages, in spite of the fact that it could add value to primary production, open opportunities for income and employment, and especially when forest resources are at hand, not available in non-tribal areas.
A two-way exchange of goods and services in the form of agriculture from non-tribal villages and value added forest products from tribal villages seems to make ecological as well as economic sense. This, however, requires a system view of development, which transcends narrow departmentalized considerations.
ACKNOWLEDGEMENT
The Author wishes to acknowledge and thank Dr. Ashbindu Singh, Director, UNEP GRID North America in Sioux Falls for the funding and technical review of the study; and Mr. Alessandro Baccini, Italy, for valuable support in the development of GIS and statistical analysis.
BIBLIOGRAPHY
Census of India. 1961, 1971, 1981 & 1991. New Delhi, Registrar General of census, Government of India.
Dhebar U.N. 1961. Report of the scheduled areas and scheduled tribes commission. New Delhi, GOI.
FAO. 1995. Forest resources assessment 1990. Global Synthesis. Forestry paper 124, Rome.
FAO-UNESCO. 1977. Soil map of the world, Volume VII: South Asia. Paris, UNESCO.
FSI. 1997. State of forests report 1997. Forest Survey of India, Dehradun, India.
FSI. 1999. State of forests report 1999. Forest Survey of India, Dehradun, India.
Fuchs, S. 1973. Aboriginal tribes of India. Delhi, Macmillan.
Gallup, J.L., Sachs J.D., & Mellinger, A.D. 1999. Geography and Economic Development, CID Working Paper 1, www.cid.harvard.edu.
GOI. 1998. Schedule tribes, schedule areas and tribal area in India. New Delhi, Ministry of Social Justice and Empowerment, Tribal Development Division.
Hausmann, R. 2001. Prisoners of geography. Foreign policy. January/February 2001, Carnegie Endowment for International Peace, Washington DC, USA.
Mohan Rao, K. 1999. Tribal development in Andhra Pradesh: Problems, performance and prospects. Hyderabad, India, Booklinks Corporation.
Nillson, Nils-Erik. 1986. Indian forestry and its integration with social and rural development. A report written for GCP/RAS/106/JPN, FAO, Rome.
Poffenberger, M. & McGean, B. 1996. Village voices, forest choices. Delhi, India. Oxford University Press.
UN. 2000. Resolution adopted by the General Assembly. 18 Sept 2000, A/Res/55/2. New York.
Verma, R.C. 1990. Tribes of India through the ages. New Delhi, Delhi Publications Division, Ministry of Information and Broadcasting.
ANNEX 1
SOME STATISTICS ON KUTIA KANDHA TRIBES OF TUMUDIBANDH BLOCK PHULBANI DISTRICT OF ORISSA
Activities/year |
Total hours |
% Share |
Days spent |
|
|
Wet Cultivation |
374 |
12.8 |
47 |
Total HH |
:1025 (1990) |
Shifting cultivation |
590 |
20.2 |
74 |
Population |
: 4090 |
Wage earning |
144 |
4.9 |
18 |
Size |
: 3.89 person/HH |
Forest Collection |
928 |
31.8 |
116 |
Literacy |
: 2.9% in 1980 |
Others |
544 |
18.6 |
68 |
|
: 7.92% in 1990 |
No work |
340 |
11.7 |
42 |
Scheduled tribes: 87.97% |
|
Total |
2920 |
100.0 |
365 |
Distribution of holdings |
|
House hold observed |
108 |
Villages |
70 |
No land |
23 (21%) |
Land types (ha) |
Area cultivated/HH |
< 1 ha |
54 (51%) |
||
Total |
2.011 |
1 - 2 ha |
26 (24%) |
||
Lowland |
0.411 |
2 ha |
+5 (5%) |
||
Mid/highland |
0.474 |
All |
108 (100%) |
||
Hill slopes |
1.126 |
Forests sole supplier if |
|||
Source |
Income per HH (Rs/year) |
||||
Agriculture |
3024 |
||||
Other (Non-forest) |
821 |
||||
Total |
3845 |
|
|||
Total expenditure/HH |
Rs. 4367 |
Imbalance = |
|||
Consumption including |
3884 |
3845-4367= -522 |
|||
food, clothing, wine |
(2277,467,566,269) |
|
|||
tobacco, festivities, etc. |
|
|
|||
Cost of Cultivation |
452 |
|
|||
Crops |
Area /HH |
Yield(Q)/HH |
Value /HH |
Cost /HH |
|
Paddy |
0.411 |
5.6 |
784 |
121 |
|
Ragi |
0.333 |
2.9 |
580 |
74 |
|
Maize |
0.141 |
1.5 |
300 |
32 |
|
Vegetable |
0.141 |
0.5 |
100 |
|
|
Pulses |
1.126 |
0.7 |
420 |
225 |
|
Oilseed |
1.126 |
1.2 |
840 |
225 |
|
Total |
2.011 |
|
3024 |
452 |
|
Crop (foothills) |
Yield (Quintals/ha) |
Cost per ha |
|||
Paddy |
13.6 (Range 13.4 - 15.5) |
294 |
|||
Ragi |
10.0 (Range 6.7 - 12.4) |
222 |
|||
Maize |
10.3 (Range 7.5 - 11.1) |
227 |
|||
Crops on hill slopes |
12.1 |
200 |
(HH = household)
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