
One of the key challenges for AfSIS is how to measure soil functional properties on tens of thousands of georeferenced soil samples. Spectral diagnostics – the use of low cost, high throughput analytical techniques based on light reflectance – solves this problem. Infrared and x-ray spectroscopic analytical techniques that required minimal sample preparation are used as a front line screening tool. More expensive and time-consuming measurements of soil functional properties are then calibrated to the spectral measurements on a subset of samples. The calibrations, or pedotransfer functions, are then used to predict soil functional properties on the full set of samples.
Download posters on Spectral Diagnostics here (pdf document)
Soil functional properties
The AfSIS soil analytical procedures emphasize the measurement of soil functional properties that determine soil health – the capacity of soil the capacity of land to sustain delivery of essential functions or ecosystem services, such as hydrological regulation, nutrient supply to plants, and nutrient retention. Three classes of properties can be defined according to the degree to which they show dynamic properties and to which they are influenced by management:
1. Slow, management insensitive. Intrinsic properties of soils that change only slowly with time, primarily in relation to soil forming factors. They are key determinant of intrinsic soil functional properties and therefore important to measure to describe spatial variation in soil functional capacity. Examples are mineralogy and particle size distribution. Of course in extreme cases, all propeties can be affected by management, e.g. severe human-induced soil erosion.
2. Slow, management sensitive. Key indicators or determinants of soil functions that are responsive to management over periods of several years. Soil organic matter content is a good example. These are the most useful variables for long-term monitoring of soil functional capacity as a reliable estimate can be obtained from a single measurement point in time.
3. Fast, management sensitive. These properties may be important for some soil functions but fluctuate rapidly (e.g. within a year) in response to climatic, hydrological and management conditions. These variables require frequent monitoring to develop an understanding of their behaviour and to obtain reliable estimates of average values. It is generally to difficult and expensive to conduct such measurements in large area surveys. Examples are microbial activity, topsoil macro-aggregation. Few fast variables are management insensitive.
At AfSIS sentinel sites, priority is given to measurement Category 2 variables, i.e. ‘slow’ variables that change only slowly with time in response to management and edaphic factors (e.g. soil organic matter levels).
Soil testing under AfSIS is designed to meet diverse needs of different users: diagnosis of soil constraints for agriculture, monitoring of trends in soil health, land capability for agriculture, soil testing for engineering and stabilisation purposes, ecological and human health risk assessment; and prognostic testing to inform investment decisions (e.g. fertilizer rates, soil conditioners, soil drainage, soil conservation).
Plant testing is also done on foliar and grain samples from AfSIS agronomic trials and crop surveys for the development of crop nutrient deficiency/toxicity diagnostics.
VIEW posters (flash gallery) describing the various lab methods applied in AfSIS further here.
For further information contact: kshepherd@africasoils.net