Environmental Management: Principles and practice
Universal Soil Loss Equation
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5 2020 03 04!03 12 11 PM
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Universal Soil Loss Equation
The Universal Soil Loss Equation (USLE) is a predictive tool which uses data on a wide range of parameters to estimate and predict average annual soil loss. It was developed in the 1930s by the US Soil Conservation Service and was improved in 1954 and again in 1978 by the US Department of Agriculture. It is widely used by planners and consultants to check on existing and likely future soil loss and to select appropriate agricultural practices and crops to sustain production. Developed in midwestern USA, it has been modified to make it suitable for other environments, so there are numerous revised versions (Hudson, 1981:258). The USLE should be used with caution: problems arise when data are imprecise or unavailable and it is best applied in situations where water rather than wind erosion occurs (although there are modified versions intended to cope with wind erosion). A typical form of the USLE is: A = (0.224) RKLSCP where: A = soil loss; R = rainfall erosivity factor (degree to which rainfall can erode soil); K = soil erodability factor (soil vulnerability to erosion); CHAPTER SIX 110 L = slope length factor; S = slope gradient factor; C = cropping management factor (what is grown and how); P = erosion control practice factor. Agroecosystem assessment The agroecosystem zones concept was promoted by the FAO (1978) to provide a framework for considering a range of parameters over a limited planning term with the aim of promoting sustainable development. An agroecosystem is an ecological system modified by humans to produce food or commodities, which generally means a reduction in diversity of wildlife. Agroecosystem assessment (or analysis) evolved in Thailand and attempts rapid multidisciplinary diagnosis that includes ecological and socioeconomic concepts and parameters (Conway and Barbier, 1990:162–193). It considers not only the farming system but also household characteristics, regional, national, even global factors likely to affect the local community. The area under consideration is zoned—often making use of a land use survey or land capability assessment. Agroecosystem assessment needs to be approached with some caution because it can lead to over-simple interpretation. Farming systems research (FSR) is an open-ended, iterative, multidisciplinary, holistic, continuous, farmer-centred, dynamic process applied to agricultural research and development (it considers biophysical, social and economic factors and seeks to integrate their study) (Shaner et al., 1982; Brush, 1986:221). There is no single method but all approaches share five basic steps (Maxwell, 1986): 1 Classification—the identification of homogeneous groups (‘target groups’) of farmers. 2 Diagnosis—identification of limiting factors, opportunities, threats, etc., for the target group. 3 Generation of recommendations—which may require field experiments, pilot studies and/or research station work. 4 Implementation—usually working with an agricultural extension service. 5 Evaluation—which may lead to revision of what is being done. FSR is a systems approach applied to on-farm research, and is promoted as a way of increasing farmer participation in development, and of generating improved and appropriate approaches and technology. FSR includes study of factors which may be beyond control of the farming community—world trade issues, global warming, etc. Unless some ‘off-the-shelf’ input is available, FSR usually takes time— often two years, sometimes from five to 15 or more years. |
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