COMMUNITY NATURAL RESOURCE MANAGEMENT IN SOUTHERN ETHIOPIA
 
 
 
 
 
 
GL-CRSP Pastoral Risk Management Project (PRMP)
Technical Report 03/98
September, 1998
 
 
 
 

This publication was made possible through support provided by the Office of Agriculture and Food Security, Global Bureau, United States Agency for International Development, under Grant No. DAN-1328-G-00-0046-00. The opinions expressed herein are those of the authors and do not necessarily reflect the views of the U.S. Agency for International Development.
 
 

PRESENTED TO THE SR/GL-CRSP PROJECT FOR IMPROVING PASTORAL RISK MANAGEMENT ON EAST AFRICAN RANGELANDS
 
 

PREPARED BY
 
WINNIE K. LUSENO1, ABDUL B. KAMARA2, BRENT M. SWALLOW3,
NANCY McCARTHY4 AND MICHAEL KIRK5
 
 

1Research assistant, International Livestock Research Institute (ILRI), Nairobi, Kenya.

2Post-graduate research fellow, Institute for Rural Development, University of Goettingen, Germany

3Research Scientist, International Livestock Research Institute (ILRI), Nairobi, Kenya.

4Post doctoral fellow, International Livestock Research Institute (ILRI), Nairobi, Kenya, and the International Food Policy Research Institute (IFPRI), Washington, D.C.

5Research scientist, Marburg University, Germany.
 

Proper citation: Luseno, W.K., A.B. Kamara, B.M. Swallow, N. McCarthy and M. Kirk 1998. Community Natural Resource Management in Southern Ethiopia. SR/GL-CRSP Pastoral Risk Management Project Technical Report No. 03/98. Utah State University, Logan. 17 pp.
 
 

Contents:

    Introduction and Background Information

        Research Methods

        Overview of Pastoralism and Property Rights in Southern Ethiopia

        Policy Issues Concerning Land-use and Property Rights in Rural Ethiopia

        Development Interventions and Pastoralism in Borana

        Description of the Study Area

            Biophysical Characteristics

            Socio-economic Characteristics

        Adoption of Dry-Season Feeding Strategies in the Borana Pastoral System
 
            Background

            Adoption of hay-making

    Conclusion

    References
 
 

Introduction and Background Information
 

Livestock production is one of few options available to millions of impoverished people who live in arid and semi-arid areas of Africa and Asia. Livestock are flexible and fungible: they can be moved in response to variable rainfall conditions and can be purchased or sold in response to variable market conditions. Livestock can supply animal traction and play key roles in the transfer and cycling of nutrients for crop production. At the same time, livestock are often associated with severe land degradation and are the object of conflicts among pastoral groups and between pastoralists and farmers.
 

Property rights - the rules that determine who can use resources and how they can use them - help shape the way that people use land and manage livestock. Currently, in much of sub-Saharan Africa (SSA) grazing lands are primarily governed by common property regimes, which allow people to pool and reduce the risks associated with variable forage production.
 

The International Livestock Research Institute (ILRI), the International Food Policy Research Institute (IFPRI) and the Institute for Rural Development at the University of Goettingen are the principle partners in a research project that aims at providing information to improve the efficiency, equity and environmental sustainability of livestock production and land use in SSA. The project focuses on areas where mobile livestock production and mixed crop-livestock farming are competing land uses. In SSA most such areas receive average annual rainfall between 300 and 600mm.
 

The specific objectives of the project are to: (i) better understand grazing management under different property rights regimes and with different environmental and production risks; (ii) identify the conditions under which different development pathways are followed; and (iii) identify how policy and other external interventions can assist communities to achieve preferred development pathways.
 

The project is comprised of five complementary activities: (1) a comprehensive review of relevant literature; (2) a conceptual framework analyzing the relationships between property regimes, risk, land allocation and livestock production; (3) simulation models that depict the short and long-term consequences of alternative policies; (4) field research in Niger and southern Ethiopia to examine these relationships and test hypotheses; and (5) an international symposium held in Feldafing, Germany, in September 1998.
 

The two study sites were selected to capture local concepts of grazing management under alternative property rights systems and to document patterns of land use and range condition. In the case of southern Ethiopia, the project has been able to build on past research conducted by the International Livestock Centre for Africa (ILCA) and by ILRI, in collaboration with CARE - Ethiopia and with the Southern Rangelands Development Unit (SORDU) of the Ethiopian Ministry of Agriculture. Though there has been limited cultivation in this area for decades, increased cultivation and bush encroachment, among other factors, are having dramatic effects on land-use patterns. Thereby, this research site is particularly interesting because of the many layers of institutions that interact over the governance of pasture lands, cropped lands and maintenance of water sources. The fieldwork in the Borana plateau was carried by Abdul B. Kamara, a Research Fellow at the Institute for Rural Development, University of Goettingen, Germany, under the supervision of Nancy McCarthy (ILRI / IFPRI post-doctoral scientist), Brent Swallow (ILRI) and Michael Kirk (Marburg University in Germany).
 

The purpose of this report is to describe the field activities and to profile the study area in terms of the dominant production and land tenure systems (section II), key socio-economic variables and bio-physical characteristics (section III). Preliminary results on the analysis of adoption of hay-making among the Borana of southern Ethiopia are also presented (section IV).
 

1.1 Research Methods
 

Data collection

The field data was collected in forty communities(1) chosen in the six districts of Yabello, Dirre (Mega), Arero, Negelle, Teltele and Moyale. The major criteria for stratification were the level (mean) and distribution of rainfall - coefficient of variation across communities. The rainfall data used in the stratification consists of a six-year time series data (1992 to 1997) collected by the Southern Rangelands Development Unit (SORDU) from 11 weather stations on the plateau. In choosing the communities, therefore, proximity to weather stations, dominance of pastoralism and accessibility were the three major criteria. The distribution of the chosen communities around weather stations is shown in the table below.
 

Table 1: Level and distribution of rainfall communities
 
Station chracteristicsa Meanb Std. Dev. CoV # of Comm.
Sarite LR, LCV 469 103 0.24 3
Wachile LR, HCV 473 222 0.49 5
Web LR, HCV 399 199 0.48 4
D/Wachu LR, HCV 353 130 0.39 2
Dillo LR, HCV 499 170 0.39 3
Yabello HR, HCV 519 230 0.44 5
Arero HR, HCV 873 374 0.43 4
Negelle HR, HCV 739 241 0.32 3
Moyale HR, HCV 869 588 0.67 2
Hidilola HR, LCV 717 202 0.28 4
Did Yabelo HR, LCV 496 141 0.28 1
Teltele HR,LCV 634 135 0.23 4
TOTAL --- --- --- --- 40
a LR=low rainfall; HR=high rainfall; LCV=low coefficient of variation; HCV=high coefficient of variation. bmm per annum
 
 

From Table 1, it can be seen that the area is generally characterized by low rainfall with an annual mean that fluctuates between 353 and 873 mm per annum; with a bimodal distribution that peaks around March to May (long rains) and around September to November (short rains). The area is thus semi-arid and precipitation poses the major livestock production constraint.
 
 

Phases of the data collection

Data collection was undertaken in three phases as follows:

i) Community Level Surveys: The community level survey consisted of a 12-page questionnaire that was completed using participatory appraisal methods (PRA). The first part consisted of a social mapping exercise that throws light on the various production activities undertaken within the communities. These include cultivation practices, land allocation patterns, hay-making strategies, transhumance routes etc. This was followed by field visits to different sites and geomorphological units (mountains, hills, valleys, etc) as well as the identification of community border points using a portable Geographical Positioning System (GPS) instrument. Two GIS packages were used as follows: the data were first entered into ArcInfo, where boundaries for each community were digitized and areas for each community calculated; ArcView was then used to prepare community maps. The remaining parts on the questionnaire consisted mainly of basic socioeconomic questions on production, land use, wealth, marketing, rules and regulations as well as social cohesion. A total of 40 pastoral communities (ardas) were surveyed, each of which exercise jurisdiction over some form of pasture and/or water resource. Each community consisted of two or more settlements (ollas).

ii) Marketing and Price Data: Marketing and price data were collected from the six marketing centers on the Borana Plateau. In each market, 30 bulls were measured (heart girth, wither height, condition score etc.) so as to give indirect measurements of body weight. Average prices will be estimated here while controlling for the effects of other factors that may affect price but vary from market to market. The method of hedonic price analysis will be used for the estimations. The estimated prices or coefficients across markets will then be used in the econometric estimations of the community level data.

iii) Range quality data: The range quality data consists of quadrants, taken from two transects in each community: North-South-Transects (NST) and East-West-Transects (EWT). From each transect, three quadrant samples were taken. The plant species in each quadrant were identified and relative abundance determined. The percentage of bush encroachment was also assessed for each community followed by slope measurements. This data will be used in assessing the range condition of the forty communities so that changes that require urgent attention are brought to light. A range quality index will also be generated for each community and this will be used in the econometric estimations.
 

I. Overview of Pastoralism and Property Rights in Southern Ethiopia
 

Livestock production plays a major role in Ethiopia's economy and accounts for about 30 per cent of the output value of the agricultural sector (Central Statistics Bureau, 1996). The country has a diverse agricultural environment: the central massive highlands rise up to an altitude of 4000m while in the lowlands altitudes may be far below 1000m. The highlands comprise about 40 per cent of the land area but support about 90 per cent of the rural population and form the main seat of Ethiopia's agricultural activities. Agropastoralism is the dominant production system in the highlands. Unlike the highlands, the lowlands are characterized by relatively low human population densities and highly variable and uncertain rainfall. These semi-arid lowlands are thus characterized by pastoral systems, with traces of cultivation around villages where population densities are relatively high and around valleys where the agro-ecological conditions permit this activity. The most important pastoral groups in Ethiopia are the Somali in the south-east, the Afar in the north-east and the Borana in the southern rangelands. Though livestock densities are much higher in the highlands, the highlands rely very much on the lowlands for their livestock and products; about 20 per cent of the draught animals used in the highlands come from the lowlands. Lowland breeds are robust and generally regarded superior to indigenous highland breeds both in terms of size, endurance, productivity, and in terms of performance in cross breeding programs and consumer preferences on the international market. Thus, Borana cattle may well comprise 90 per cent of Ethiopia's cattle export, contributing a great deal to the country's foreign exchange earnings (Coppock, 1994). Hence the southern rangelands have received considerable research and development attention over the past decades: including the Joint Ethiopian Pastoral Systems Study; ILCA's eleven years of pastoral systems research (1980-1991); development activities of the Southern Rangelands Development Unit (SORDU); CARE-Ethiopia; Deutsche Gesellschat für Technische Zusammenarbeiz GTZ; Save the Children; Norwegian Church Aid (NCA), etc.
 

The body of literature compiled here is intended to provide a general guide to relevant literature on issues related to livestock production and development in Ethiopia, with a specific focus on the Borana rangelands of southern Ethiopia. The first section deals with policy related issues that affect land use, property rights and the way in which these influence pastoral livestock production. The second section discusses the dynamics of the Borana pastoral system: constraints to extensive livestock production, external interventions and the current status of the southern rangelands.
 
 

2.1 Policy Issues Concerning Land-use and Property Rights in Rural Ethiopia

Several changes in land use policy have been recorded in Ethiopia over the past decades (Teka, 1983; Ghose, 1985; Tolosa et al. 1995). These changes are believed to have had different impacts in diverse parts of the country, based on the prevailing type of production systems. The changes are attributed to the divergence of policy priorities by the different regimes, namely - the Monarchy before 1974 (Pre Derg), the Ethiopian Socialist Government (Derg) and the Transitional Government of Ethiopia (Post Derg). Each of these regimes introduced and implemented different land policies that have very important implications for different production systems in the country. Before the fall of the Monarchy, land tenure in Ethiopia was characterized by an intricate and hierarchical system that varied greatly across different parts of the country (Teka, 1983; Ghose, 1985; Bruce et al., 1994; Tolossa & Asfaw, 1995). In the northern region, access to land was based on hereditary rights and community membership -with the imposition of tithe, tributes and other services imposed on the peasants. In the south, much of the land was held in large estates by landlords, and farmed by tenants who were often the original inhabitants of the area. Rents and other services were imposed or sharecropping arrangements made. Tenure insecurity was high and eviction easy since most of the agreements were merely verbal. Land holdings of peasant households hardly went above 5 hectares and this was often comprised of parcels in more than one community. The area was thus characterized by an unequal distribution of land and tenure insecurity. By the 1960s it had become obvious that land tenure emerged as a great constraint to development in the country (Bruce et al., 1994).
 

The emergence of the Derg Regime in 1974 was greeted by a series of land reform programs (Tolossa & Asfaw, 1995). The regime was quick to recognize the need for land reform and on March 5, 1974 all rural land was nationalized and declared 'the collective property of the Ethiopian people'. The reform was implemented almost everywhere; expropriation of land from landlords, establishment of state farms, abolition of wage labor and villagization programs were immediately initiated. All other existing land rights were extinguished and all land became public property with the aim of 'liberating the masses from oppression and exploitation' by the land-owning classes. The implementation of this land redistribution program began with the formation of Peasant Associations (Kebelles), whose primary responsibility was the allocation of land to households. The redistribution was based on a set of criteria that differed from one region to another -family size, availability of land, productive potential of the land- and guaranteed a maximum of ten hectares per household held under usufructuary rights. Households could make claims only at residential Kebelles. Under this system, all individual transfer of land, regardless of the method involved, was prohibited. In pastoral areas, communities that had commonly and independently managed their pasture in the past started to become responsible to the central administration through the chairmen of the peasant associations. This situation started to create disincentives in land improvement -fencing, bush cleaning etc.- and constrained mobility in pastoral areas. Before its eventual fall in 1991, the Derg regime had already relaxed some of its rigid policies -lifting the ban on hired labor and slowing down the resettlement program.
 

The post Derg regime has not been very drastic on reforming land tenure policy. Despite its declaration that land continue to be nationally owned, certain inheritance rights were once again reassured and the resettlement programs stopped. This was followed by a call for the establishment of commercial farms by private individuals with reassuring statements of guaranteeing property rights, credit facilities, construction of feeder roads and tax concessions to facilitate marketing activities (Bruce et al., 1994). Since the fall of the Derg, a general improvement in marketing conditions both in terms of better selling opportunities and in terms of more consumer goods becoming available in local markets have been observed in the country. On the Borana plateau, where pastoral livestock production has dominated the production system for centuries, resource use decisions and rules had been, and in many cases continue to be, made by traditional institutions and implemented by groups of elders within the community. With the advent of crop production in the recent decades, national level land policies started to have an impact on traditional resource management systems. The formation of the peasant associations in the 1970s to implement the land redistribution programme conflicted a great deal with the role of traditional elders and their institutions. Under the new system, individuals can secure access to land through the peasant associations without having to go through the traditional elders, who, according to tradition, will generally not guarantee such private rights. Today, a considerable part of the plateau is experiencing a growing trend of privatization; communal pastures falling into the hands of cultivators and pretenders: those who acquire the land with the pretext of cultivating, but who use it as pastures (Community Surveys, 1997/98). It is believed that the spatial arrangement of these private fields, if the trend continues, will soon become a major constraint to mobility, one of the traditional risk management strategies of the Borana pastoralists. The abolition of burning in the late 1970's and the concomitant bush encroachment has also contributed a great deal to the spread of diseases, restricted mobility and a reduction in the available grazing area each year.
 
 

2.2 Development Interventions and Pastoralism in Borana

After many unfruitful efforts of intervention into pastoral production systems -ranches, sedentarization programs, etc.- it is widely acknowledged today that pastoralism itself is an adaptive feature of any group living under conditions which make extensive livestock production an effective way of utilizing natural vegetation of highly variable characteristics. The Borana pastoral system, for instance, is characterized by extreme variability and unreliability of rainfall both between different years and spatial distribution within a given year and rainfall is bimodally distributed (SORDU, unpublished data). The subsequent high spatial and temporal variability of water and forage generation makes the southern rangelands vulnerable to recurrent droughts. Though the Borana cattle have a remarkable ability for endurance and tolerance in time of water scarcity, the impact of such droughts has often been recorded to reach life threatening levels: the droughts of 1983/84 and 1990/91 are a few examples. Coppock (1994) hypothesizes that the impact of droughts on the Borana rangelands is exacerbated by high stocking rates; so that even years with rainfall slightly below the average could lead to great cattle losses. He described the system as one which experiences phases of 'booms and bursts'. Once a high density phase is reached (characterized by high stocking rates), the system becomes very vulnerable to a 'crash' even by the slightest rainfall deficit that would otherwise have been easy to overcome. This behavior has been ascribed to the desire of the Boran people to persistently hold on to their cattle and sell only under acute needs. At the beginning of a drought period, the Borana pastoralists resort instead to reserve grazing areas, herd splitting and long distance migrations in search of water and forage in fallback areas and selling small ruminants to buy grains. The Boran people hold on to their cattle in this way and simply hope that a miracle will happen -the rains will soon come- until an inevitable situation of mass losses is reached, paving the way for the influx of relief programs. Coppock concludes that the system is subject to a simultaneous processes of 'long-term trends' which result from a declining ratio of cattle to people; and 'short-term cycles' characterized by variable stocking rates -low cattle density during drought phases and high cattle density after drought recovery phases. This unpredictable vulnerability to droughts, coupled with the fact that the area is beset by poorly developed infrastructure and inadequate amenities have made it possible for the Borana pastoral systems to attract a great deal of development attention.
 

Development interventions in the areas of animal health, water technology (procurement, use and conservation), roads, markets, ranches and fattening programs etc. have been initiated and implemented on the southern rangelands, since the 1960s. The impact of a number of such programmes has, however, been far below expectation (SORDU-Manager, personal communication). It is argued that most of these efforts were based on assumptions that conflicted with the social values and traditional production rationale of the Borana pastoralists; planners had erroneously assumed that animal health and market outlets were the only constraint to market off-take both for domestic consumption and export (Coppock, 1994). Cattle population over the years did in fact grow due to animal health improvement but trade never took off as speculated, leading to increased pressure on the limited range resource base.
 

II. Description of the Study Area
 

The Borana plateau is located in the southern lowlands of Ethiopia and occupies a total land area of approximately 95, 000km2. The study area occupies a 20 by 20 km region (between 36 and 42 east and 4 and 6 north), and is located about 650 km south of Addis Ababa. Figure 1 shows the location of the study area and the distribution of the forty ardas in the study site.
 

As was mentioned earlier, the forty ardas were selected to represent different rainfall patterns (level and distribution). Monthly rainfall data from 1992 to 1997 for 12 weather stations located around the Borana plateau were used to classify the communities into four rainfall categories: high mean rainfall - high variation, high mean rainfall - low variation, low mean rainfall - low variation, and low mean rainfall - high variation. Figure 2 shows the distribution of the 40 communities on the basis of these rainfall categories.
 

3.1 Biophysical Characteristics

In this section the research site is described in terms of the great diversity of climatic and topographic features found in the area. The Spatial Characterization Tool (SCT), a geographic information systems (GIS) application which accesses gridded environmental data, point data and vector based information (polygons), was used to investigate a variety of physical attributes of the 40 communities. This review makes use of the information obtained from applying the SCT to characterize the micro-environments of the 40 communities and to validate the stratification criteria employed in the sampling strategy described above.
 

While the complete SCT data file incorporates data from Africa, Latin America and parts of South East Asia, data availability varies from region to region. Where available the full dataset includes information on climate, topography, land cover, demographics, and soils as well as ancillary information on towns, political units, waterbodies and major watersheds. The major part of the data that is used in this analysis are in the form of gridded ARC/INFO surfaces (Corbett and O'Brien, 1997).
 

For this report, the zone characterization facility of the SCT was employed. This facility is useful when information about regions rather than individual sites is required. The parameters defining the zone are entered as Geographic Positioning System (GPS) coordinates. In the case of this report, the SCT application was unable to identify individual communities as zones, thereby larger regions which in most cases comprised of more than one arda were defined. Figure 3 shows the results of the zone specification procedure. A report on the characteristics of the site (climate, population density, topography, soils) was generated. STATA, a statistical package, was used to test the significance of various hypothesized relationships.
 

Long term annual normals for precipitation, potential evapotranspiration (PE), precipitation / potential evapotranspiration (P/PE) and maximum, minimum and mean temperature were accessed and are summarized below. The study area is dominated by a semi-arid climate and the data show mean annual rainfall in the 12 zones as varying between approximately 500mm (Zone 7) and 700 mm (Zones 1, 2 and 11). The overall average annual rainfall is 648 mm. Mean annual rainfall varied significantly between the four rainfall categories (P = 0.0000) and also with elevation (r2 = 0.8954; P 0.05). Standard deviations also varied substantially between the four stratification groups (P = 0.0114).
 

Table 2 : Mean Annual Precipitation (mm)
 
Zones (Communities) Mean Maximum Minimum Std. Dev.
Zone 1 (1 to 6) 711.68 787.00 660.00 33.05
Zone 2 (7 to 8) 702.76 787.00 642.00 38.35
Zone 3 (9 to 12) 650.13 658.00 640.00 5.75
Zone 4 (13 to 15) 659.50 665.00 656.00 3.40
Zone 5 (16) 663.33 673.00 653.00 8.18
Zone 6 (17 to 18) 663.00 663.00 663.00 0.00
Zone 7 (19 to 21) 497.10 553.00 462.00 28.24
Zone 8 (22 to 25) 654.00 671.00 632.00 14.54
Zone 9 (26, 27, 29) 668.50 739.00 619.00 41.27
Zone 10 (28, 30, 31, 39, 40) 554.18 573.00 536.00 10.91
Zone 11 (32 to 35) 714.44 814.00 626.00 63.51
Zone 12 (36 to 38) 637.91 744.00 558.00 53.38
Source: Corbett and O'Brien (1997) The Spatial Characterization Tool.
 
 

The results from the SCT application show significant differences in the maximum and the minimum temperatures between the four stratification groups (P = 0.0073 and P = 0.0002, respectively). Mean temperatures were also significantly correlated with elevation (r2 = -0.9673 and r2 = - 0.9041, respectively; P 0.05), indicating that as elevation increases temperatures are likely to decrease. Indeed, zones 7 and 10, which are located at lower elevations, show the highest mean maximum temperatures; while zones 1 and 2, which are situated at higher elevations, have the lowest mean minimum temperatures.
 

Coppock (1994) notes that the principal issue regarding temperatures in arid and semi-arid environments, is how it affects the effectiveness of rainfall through its influence on evapotranspiration. The effectiveness of rainfall in turn is determined by how it affects plant production and the distribution of plant species. Regarding potential evapotranspiration, the SCT results show the expected trend whereby the rates of evapotranspiration increases as mean temperatures increase.
 

Table 3: Mean Maximum Temperatures (C)
 
Zones (Communities) Mean Maximum Minimum Std. Dev.
Zone 1 (1 to 6) 25.78 26.99 24.49 0.66
Zone 2 (7 to 8) 25.86 26.99 24.49 0.63
Zone 3 (9 to 12) 26.54 26.80 26.36 0.13
Zone 4 (13 to 15) 26.03 26.20 25.95 0.08
Zone 5 (16) 25.26 25.78 24.73 0.43
Zone 6 (17 to 18) 27.59 27.73 27.44 0.15
Zone 7 (19 to 21) 28.40 28.97 27.36 0.49
Zone 8 (22 to 25) 26.87 27.27 26.57 0.27
Zone 9 (26, 27, 29) 27.46 28.32 25.88 0.91
Zone 10 (28, 30, 31, 39, 40) 28.79 29.14 28.47 0.19
Zone 11 (32 to 35) 26.09 27.37 24.56 0.96
Zone 12 (36 to 38) 26.69 27.57 25.59 0.57
Source: Corbett and O'Brien (1997) The Spatial Characterization Tool.
 
 

Table 4: Mean Minimum Temperatures (C)
 
Communities Mean Maximum Minimum Std. Dev.
Zone 1 (1 to 6) 14.19 15.17 12.98 0.59
Zone 2 (7 to 8) 14.36 15.52 12.98 0.69
Zone 3 (9 to 12) 15.39 15.64 15.13 0.16
Zone 4 (13 to 15) 15.92 16.01 15.88 0.04
Zone 5 (16) 15.39 15.80 14.96 0.34
Zone 6 (17 to 18) 17.35 17.49 17.20 0.15
Zone 7 (19 to 21) 18.11 18.71 17.13 0.49
Zone 8 (22 to 25) 15.22 15.70 14.82 0.32
Zone 9 (26, 27, 29) 14.62 15.56 13.02 0.91
Zone 10 (28, 30, 31, 39, 40) 17.35 17.57 17.08 0.15
Zone 11 (32 to 35) 15.08 16.43 13.59 0.97
Zone 12 (36 to 38) 15.56 16.84 14.10 0.78
Source: Corbett and O'Brien (1997) The Spatial Characterization Tool.
 
 

The precipitation/potential evapotranspiration ratio (PPE) provides a measure of the loss of moisture due to evapotranspiration. Thus, a relatively low PPE is an indication of a high loss of moisture due to evapotranspiration. It is expected that as one moves from high to low elevation, mean rainfall will decrease while mean temperatures and thereby potential evapotranspiration will increase. Thus, PPE will decrease as elevation decreases or conversely will increase with elevation. Indeed, the SCT results strongly support this theory (r2 = 0.9324; p 0.05). Further, the results indicate that the high-risk groups have lower PPE ratios than the low-risk groups, that is to say that moisture loss due to evapotranspiration is higher in the former group. Indeed, the SCT results show that the high risk groups are on average located at lower elevations and have on average higher mean temperatures.
 

Table 5 : Total Evapotranspiration (mm)
 
Zones (Communities) Mean Maximum Minimum Std. Dev.
Zone 1 (1 to 6) 1419.89 1482.00 1361.00 32.74
Zone 2 (7 to 8) 1427.10 1482.00 1361.00 33.59
Zone 3 (9 to 12) 1463.75 1478.00 1452.00 7.48
Zone 4 (13 to 15) 1491.17 1494.00 1489.00 1.77
Zone 5 (16) 1467.67 1487.00 1446.00 16.82
Zone 6 (17 to 18) 1573.00 1582.00 1564.00 9.00
Zone 7 (19 to 21) 1683.00 1731.00 1613.00 36.39
Zone 8 (22 to 25) 1463.75 1487.00 1446.00 15.35
Zone 9 (26, 27, 29) 1469.88 1514.00 1400.00 39.36
Zone 10 (28, 30, 31, 39, 40) 1579.24 1595.00 1563.00 9.76
Zone 11 (32 to 35) 1537.56 1622.00 1449.00 58.85
Zone 12 (36 to 38) 1546.73 1620.00 1465.00 44.43
Source: Corbett and O'Brien (1997) The Spatial Characterization Tool.
 

Table 6: Precipitation/Potential Evapotranspiration Ratio (PPE)
 
Communities Mean Maximum Minimum Std. Dev.
Zone 1 (1 to 6) 0.50 0.58 0.45 0.04
Zone 2 (7 to 8) 0.50 0.58 0.44 0.04
Zone 3 (9 to 12) 0.45 0.46 0.44 0.01
Zone 4 (13 to 15) 0.46 0.46 0.45 0.00
Zone 5 (16) 0.46 0.48 0.45 0.01
Zone 6 (17 to 18) 0.44 0.45 0.44 0.00
Zone 7 (19 to 21) 0.30 0.34 0.27 0.02
Zone 8 (22 to 25) 0.45 0.47 0.43 0.01
Zone 9 (26, 27, 29) 0.46 0.54 0.42 0.04
Zone 10 (28, 30, 31, 39, 40) 0.36 0.37 0.35 0.00
Zone 11 (32 to 35) 0.47 0.56 0.38 0.06
Zone 12 (36 to 38) 0.41 0.51 0.34 0.05
Source: Corbett and O'Brien (1997) The Spatial Characterization Tool.
 

The landscape of the study area is gently sloping across an elevation of 1000 to 1900m (Tables 7 and 8). Zones 1 and 2 show the most variable landscapes with slopes ranging between 0 and 14%. Not surprisingly, these zones also occupy the high elevations. Shrubland and savanna dominate the vegetative cover in the study area (Corbett and O'Brien 1997).
 
 

Table 7: Elevation (m)
 
Communities Mean Maximum Minimum Std. Dev.
Zone 1 (1 to 6) 1669.89 1918.00 1423.00 134.91
Zone 2 (7 to 8) 1647.76 1918.00 1423.00 132.09
Zone 3 (9 to 12) 1498.00 1536.00 1449.00 24.82
Zone 4 (13 to 15) 1537.50 1549.00 1510.00 13.02
Zone 5 (16) 1675.67 1777.00 1579.00 80.90
Zone 6 (17 to 18) 1253.50 1279.00 1228.00 25.50
Zone 7 (19 to 21) 1054.36 1258.00 941.00 96.14
Zone 8 (22 to 25) 1455.00 1514.00 1377.00 52.31
Zone 9 (26, 27, 29) 1382.12 1645.00 1240.00 149.35
Zone 10 (28, 30, 31, 39, 40) 1097.41 1149.00 1042.00 30.18
Zone 11 (32 to 35) 1499.33 1852.00 1187.00 230.60
Zone 12 (36 to 38) 1382.36 1673.00 1161.00 149.54
Source: Corbett and O'Brien (1997) The Spatial Characterization Tool.
 
 

Table 8: Percent Slope
 
Zones (Communities) Mean Maximum Minimum Std. Dev.
Zone 1 (1 to 6) 2.34 14.00 0.00 1.62
Zone 2 (7 to 8) 2.25 14.00 0.00 1.65
Zone 3 (9 to 12) 1.22 2.00 0.00 0.66
Zone 4 (13 to 15) 0.14 1.00 0.00 0.35
Zone 5 (16) 0.04 2.00 0.00 0.23
Zone 6 (17 to 18) 2.62 7.00 0.00 1.68
Zone 7 (19 to 21) 1.11 3.00 0.00 0.79
Zone 8 (22 to 25) 1.41 3.00 0.00 0.78
Zone 9 (26, 27, 29) 1.24 7.00 0.00 1.67
Zone 10 (28, 30, 31, 39, 40) 0.34 2.00 0.00 0.55
Zone 11 (32 to 35) 1.45 4.00 0.00 1.05
Zone 12 (36 to 38) 1.19 4.00 0.00 0.81
Source: Corbett and O'Brien (1997) The Spatial Characterization Tool.
 
 

3.2 Socio-economic Characteristics

In this section, a profile of the study area is provided in terms of key socio-economic variables. Some of the variables that are discussed are community population, community herd-size, community stocking rates, proportion of community land allocated to private pasture and proportion of community land allocated to cultivation.
 

The basic unit of production and consumption in the Borana pastoral system is the household. However, certain productive activities such as herding, watering animals, marketing dairy products and constructing corrals and fences are undertaken cooperatively by the community (Coppock 1994). The tables below show descriptive statistics of the community level data set.
 

Table 9: Household and Community Characteristics
 
Settlement/Household Total % Average/arda1
No. of Settlements (Olla) 199 100 4.99
Number of Households 3141 100 78.52
Male Headed Household 2314 73.68 57.85
Female Headed Household 825 26.32 20.67
Wealthy Households 385 12.57 9.63
Middle class Households 660 21.01 16.50
Poor Households 2098 66.47 52.45
1An Arda is a community consisting of two or more pastoral settlements. Each

settlement (Olla) consists of at least ten households.
 

In total, there are 199 ollas in the 40 communities comprising of 3,141 households. About 74% of these household are male headed. 13% of all households are classified as wealthy, 21% as middle class and the rest as poor (Table 9). The classification was based on the wealth classification criteria of the respective communities.
 

Table 10: Livestock Holdings (heads of animals per community)
 
TYPE (%)2  Min. Max. Mean Std Dev Total
Cattle 94 66 13,350 1,612 2,972 64,469
Goats 39.22 0(10) 6,320 394 1,047 15,747
Sheep 23.17 0(2) 1,640 125 349 5,005
Horses 0.57 0(2) 10 0.57 2 23
Donkeys 14 0(1) 153 24 35 942
Camels 16.3 0(2) 606 48 98 1,928
2Percentage of community members keeping the livestock species
 
 
 
 

Table 11: Livestock Holdings (TLU per community)
 
TYPE Min. Max. Mean Std Dev Total %l
Cattle 46 9,345 1,228 2,081 45,128 90.60* 
Goats 0(1) 632 39 105 1,574 3.16
Sheep 0(1) 164 13 35 501 1.01
Horses 0(2) 8 0.5 1.62 18 0.04
Donkeys 0(1) 107 17 24 659 1.32
Camels 0(2) 606 48 98 1,928 3.87
Total 58 9,780 1,245 2,224 49,808 100
* cattle alone contributes about 90% of the total TLU in the sample communities.
 

Cattle is the major type of livestock species kept by the Borana pastoralists. A total of about 64,000 heads of cattle, 16,000 goats, 5,000 sheep, 900 donkeys and 23 horses constitute the livestock holdings of the forty communities. The minimum number of cattle per community is 66 and the maximum of 1,600. Cattle constitute about 91% of the total livestock (in TLU) of the sample communities (Tables 10 and 11).
 
 

Table 12: Land Use - Land Allocation to Different Activities (%)
 
LAND USE TYPE Proportion (%)
Enclosure for lactating cattle etc. (Warra) 49.00
Grazing area for dry herds (forra)  1.25
Enclosure for calves, sick animals. (Kalo) 11.00
Area for settlements and small ruminants 10.00
Buffer area 

SUM OF COMMUNAL LAND

Private enclosure for calves

Cultivated area

4.00

75.25

3.00

16.75

Area for draught animals 5.00
SUM OF PRIVATE LAND 24.75
 
 

The results from the 40 community surveys provide an overall picture of land allocation and property rights in the Borana plateau. The results indicate a large increase in the area cultivated since 1986 (Table 12). Seventeen percent of the area in the 40 ardas was reported to be within cultivated fields in 1997. This includes pastures adjacent to cultivated fields within the thorn fences used to protect and demarcate the fields; this study was not able to distinguish between land actually cropped and pasture land within crop enclosures. The community survey also indicates that enclosures of pasture for grazing calves and for draught animals is quite important, forming 14% and 5% of total area, respectively. More surprisingly, the in-depth studies revealed that all calf enclosures in these two communities were in fact enclosed by individual households. Ten percent of the land in the ardas was used for housing, for grazing by sheep and goats, and four percent was reserved as a buffer area. The remainder, about 64% of the total area, was managed as communal pasture.
 
 

Table 13: Cultivation Practice
 
Practice Duration No. of Communities Percentage
0 years (no cultivation) 

1-10 years

11-20 years

>20 years

Total Communities Cultivating

8

12

9

11

32

20.0

30.0

22.5

27.5

80.0

Largest number of ha cultivated by a single household = 2.26

Least number. of ha cultivated by a single household = 0.40

Average number. of ha cultivated by a single household = 1.41
 
 

Expansion of cultivation and enclosure of land around cultivated fields are the most noticeable and important changes in land use in the Borana plateau. Up to 17% of the land area in the 40 communities is now cultivated, compared to 1.4% in 1986. About 80% of the communities in the sample now include some households that cultivate; 30% of the 40 communities took up cultivation within the last 10 years and 22% took up cultivation in the last 20 years. Thirty years ago only four communities (10%) were cultivating. Cultivation is still relatively less significant with an average of 1.4 hectares cultivated by a single household; a maximum of 2.3 hectares and a minimum of 0.4 hectares.
 

The above data set will be utilized mainly in the estimation of the econometric models, designed to test the relationships between stocking rates, land use, property rights and management institutions. The community level data is also supplemented by an in-depth data taken from two sets of communities from among the forty communities covered in the earlier survey. It is hoped that the in-depth data will generate information on the impact of policy, external interventions and drought cycles on changes in land use, property rights and management institutions.
 

III. Adoption of Dry-Season Feeding Strategies in the Borana Pastoral System
 

The International Livestock Centre for Africa (now ILRI) conducted a long-term systems study of Borana pastoralism between 1980 and 1991. During that period, several experiments were conducted on hay making and, finally, recommendations were made regarding the use by hay making in Borana. CARE-International, a partner in the systems study, then incorporated hay making as part of their extension message to farmers in the area. To date, however, no study had been undertaken to consider the extent of adoption of hay making among the Boran.
 

In the community survey, therefore, questions were posed to community leaders about the adoption of hay making in their communities. This section of the paper presents some preliminary results on the extent of hay making on the 40 communities, and factors affecting adoption at the community level.

4.1 Background

The traditional feeding practice during the dry season consists of Borana women collecting standing brown grass on a daily basis to hand feed calves. This is quite a laborious task and indeed highly inefficient with regards to time management (Mulugeta 1990; Coppock 1992). Further, this practice has been shown to provide forage of very low nutritive value (Mulugeta 1990; Coppock 1993). In view of this, Coppock (1992) identifies two main benefits to be gained from adopting haymaking as a dry-season feeding strategy: (1) improved animal productivity; and (2) reduction in women's labor burden in the dry season.
 

Inadequate nutrition due to deficits in forage quantity and/or quality, particularly during the dry seasons and drought years, imposes serious limitations on livestock production in pastoral systems. These limitations include serious impediments on animal productivity such as low milk yields, increased stock mortality (especially calf mortality), extended calving intervals and low average daily animal weight gains (McIntire, Bourzat and Pingali 1992). Coppock (1993) shows that hay made from local grasses has a higher nutritive value than the standing brown grass that is available in the dry season. Thereby, hay-making shows promise as a development intervention aimed at solving problems associated with dry-season feeding among semi-settled Borana pastoralists.
 

Married Borana women are responsible for managing calves during their first year after birth. During the dry season, caring for calves is particularly challenging because forage quantity and quality is low, water is scarce, and demand for milk within the traditional homestead is increased. During these dry periods, traditional calf management practices among the Borana women include providing milk and forage daily, and watering every two to three days (Coppock 1992). Mulugeta (1990) reports that in order for these activities to be accomplished women need to budget approximately 20 hours of their time every week. Thus, having hay available during such critical periods, is expected to allow women more flexibility in budgeting time and work schedules (Coppock 1991 and 1992).
 

In order that high quality hay be produced, the process begins after the long rains after the vegetation has dried off sufficiently and before dominant grasses flower. Prior to commencing the actual haymaking procedure, an initial investment needs to be made in constructing a platform elevated 0.5m above the ground on which to store the hay. On commencement, time budgets must take into consideration: searching for and cutting nutritious grass species; drying the cut grass and guarding it from wandering livestock; transporting the hay to the olla; and haystacking to protect it against bleaching from the sun and leaching from rain.
 

4.2 Adoption of hay-making
 

Regarding hay making, community representatives were asked whether hay making is practiced in the arda and if so what percentage of the arda members are engaged in it. Representatives were also asked if people harvest crop reside to feed to animals and in the cases where they did they were asked to estimate the number of members engaged in the activity. The table below shows the distribution of responses.
 

Table 14: Adoption of hay making in 40 communities in the Borana Platteau
 
yes No
Q: Is hay making practiced in this arda? 

(haymake)

13 (32.50%) 27 (67.50%)
Q: Do people harvest any crop residue to feed animals?

(cropfeed)

18 (45.00%) 22 (55.00%)
 
 

Thirteen out of forty respondents said that hay was prepared in the arda. Results indicated that an average proportion of 68% of households within these ardas making hay were involved in the practice. Similarly, in the 18 ardas where crop residue is harvested to feed to animals, results show that an average of 72 households were involved in the practice. These suggests that some form of collective action or collective decision making affects hay making: hay making is not adopted by a few early adopters in each arda, but by a majority. One explanation for this phenomena is that hay-making is related to the structure of property rights in the community.

IV. Conclusion
 

The results of the survey of 40 communities make it clear that the Borana platteau of southern Ethiopia is becoming increasingly diverse. Cattle numbers in the communities vary tremendously, with only 66 in one community and over 13,000 in another. Cultivation is increasing, but at very different rates in different communities. Of the 40 communities that we surveyed, 8 still have no land cultivated, while in other communities up to half of the land is cultivated. Individualization of rangeland into private and small group pastures is increasing, but again, at very different rates in different communities. Adoption of hay making, an innovation first introduced about 10 years ago, is increasing, but is still practiced in a minority of communities.
 

More research needs to be done in order to understand the importance of the many factors that have caused this increasing heterogeneity. Insights from that research may have general applicability in Ethiopia and across East Africa.
 
 

References
 

Bruce, J. W., Hoben, A., & Rahmato, D. (1994). After the Derg: An Assessment of Rural Land Tenure Issues in Ethiopia. Land Tenure Center, University of Wisconsin, Madison and Institute of Development Research, Addis Ababa University (1994).
 

Coppock, D. L. (1994). The Borana Plateau of Southern Ethiopia: Synthesis of pastoral research, development and change 1980 - 91. ILCA Systems Study 5. Addis Ababa: International Livestock Centre for Africa.
 

Ghose, A. K. (1985). Transforming Feudal Agriculture: Agrarian Change in Ethiopia since 1974. Journal of Development Studies, 22 (1985): 128-149
 

Tolossa, G. & Asfaw, Z. (1995). Land Tenure Structure and Development in Ethiopia: A Case Study of Ten Peasant Associations in Wara Jarso Woreda. Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ): Sector Project: Assistance to Desertification Control, Relevance of Land Tenure Development for Developing Countries (Division 425: 1995).
 
 

1.

1 A community in this study refers to the Borana traditional administrative unit called Arda. An arda consists of two or more pastoral settlements (Ollas), each of which comprises of at least ten households. Each arda has jurisdiction over some form of grazing area, cultivation land and water resources.