ABSTRACT. The Sudano-Sahelian zone of West Africa has experienced recurrent droughts since the mid-1970s and today there is considerable concern for how this region will be able to adapt to future climate change. To develop well targeted adaptation strategies, the relative importance of climate factors as drivers of land use and livelihood change need to be better understood. Based on the perceptions of 1249 households in five countries across an annual rainfall gradient of 400-900 mm, we provide an estimate of the relative weight of climate factors as drivers of changes in rural households during the past 20 years. Climate factors, mainly inadequate rainfall, are perceived by 30-50% of households to be a cause of decreasing rainfed crop production, whereas a wide range of other factors explains the remaining 50-70%. Climate factors are much less important for decreasing livestock production and pasture areas. Increases in pasture are also observed and caused by improved tenure in the driest zone. Adaptation strategies to declining crop production include 'prayer' and migration in the 400-500 mm zone; reforestation, migration, and government support in the 500-700 mm zone; and soil improvement in the 700-900 mm zone. Declining livestock holdings are countered by improved fodder resources and veterinary services. It is concluded that although rainfed crop production is mainly constrained by climate factors, livestock and pasture are less climate sensitive in all rainfall zones. This needs to be reflected in national adaptation strategies in the region.

Environmental change in the Sudan-Sahel region of West Africa (SSWA) has been much debated since the droughts of the 1970s. In this article we assess climate variability and environmental stress in the region. Households in Senegal, Mali, Burkina Faso, Niger, and Nigeria were asked about climatic changes and their perceptions were compared across north-south and west-east rainfall gradients. More than 80% of all households found that rainfall had decreased, especially in the wettest areas. Increases in wind speeds and temperature were perceived by an overall 60-80% of households. Contrary to household perceptions, observed rainfall patterns showed an increasing trend over the past 20 years.

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The main objective of this paper is to develop a commodity-by-industry economic-ecological model (CIEEM) based on data collected in a rural village in Nigeria and to assess its utility for measuring the implication of various economic activities on the demand for scarce water resources. Our primary concern is model construction and determination of the direct and total requirements of both economic commodities (inter-industry transactions) and ecological commodities (water, land and vegetation) used in the economy. Also considered is the discharge of ecological commodities (waste water and solid wastes) back to the environment. Results show that, despite sparse sectoral interdependence within the economic system, inputs and outputs of ecological commodities include significant indirect components that can only be captured in an input-output framework. The most intensive users of water based on the direct effects are animal husbandry, construction and irrigated agriculture; based on total effects they are catering/trading, construction and animal husbandry, in descending order.

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This study examines the contribution of Zobe dam to the socio-economic development of Makera Community Dutsinma LGA, Katsina State north-western Nigeria. The study identified types of socio-economic activities supported by the dam and their impact. Total of 392 questionnaires was administered to adults target population using stratified random sampling technique. Descriptive and inferential statistics were used to analyze the data. Findings revealed main economic activities supported by the dam are farming (60.46%), fishing (30.10%), domestic water supply (5.52%) and livestock watering (3.057). The positive contributions of the dam include an increase in the availability of social amenities and resident's standard of living. Specific impacts were increased income, increased crop yield, increased farm sizes, commercial fishing and increased access to water supply sources. The survey also revealed the dam is a major pull-factor with 79.59% respondent's decision to settle in the area influenced by the dam. The negative impacts were; occasional floods that erode crops, farmlands, the introduction of new pest and spread of water associated diseases (schistosomiasis, malaria, and typhoid in decreasing magnitude). ANOVA test showed no significant difference in literacy level, occupation and water use among residents. Analysis of water quality to determine the impact of activities was recommended.

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