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3.3 Use <strong>of</strong> pedo-transfer functions to assess availability and <strong>the</strong> amount <strong>of</strong><br />

available soil P<br />

Pedo-transfer functions (PTF) are predictive functions for soil properties, which are<br />

not easy to measure but can be derived from o<strong>the</strong>r more-available, easily, rout<strong>in</strong>ely or<br />

cheaply measured soil parameters. McBratney et al. (2002) used <strong>the</strong> term ‘soil<br />

<strong>in</strong>ference system’, where pedo-transfer functions are <strong>the</strong> knowledge rules for soil<br />

<strong>in</strong>ference eng<strong>in</strong>es. A soil <strong>in</strong>ference system takes measurements with a given level <strong>of</strong><br />

certa<strong>in</strong>ty (source) and by means <strong>of</strong> logically l<strong>in</strong>ked pedo-transfer functions (organiser)<br />

<strong>in</strong>fers unknown data with m<strong>in</strong>imal <strong>in</strong>accuracy (predictor). Pedo-transfer functions<br />

thus utilize different regression analysis and data m<strong>in</strong><strong>in</strong>g techniques to extract rules<br />

for soil properties which are difficult to measure.<br />

For this review we <strong>in</strong>tend to consider <strong>the</strong> possibility <strong>of</strong> us<strong>in</strong>g pedo-transfer functions<br />

to assess <strong>the</strong> amount <strong>of</strong> different P forms <strong>in</strong> <strong>forest</strong> soils, which would enable <strong>the</strong><br />

evaluation <strong>of</strong> long term soil P <strong>changes</strong> <strong>in</strong> <strong>forest</strong> ecosystems. Earlier attempts have led<br />

to regression relationships which were based on 12 different sites collected <strong>in</strong> Lower<br />

Saxony (Ulrich and Khanna 1972, Khanna and Ulrich 1969, Ulrich 1972). The basis<br />

<strong>of</strong> <strong>the</strong>se relationships are described below <strong>in</strong> short:<br />

• Total P (Pt) is considered to be a function <strong>of</strong> organic C <strong>in</strong> <strong>the</strong> surface soils which<br />

can be described by <strong>the</strong> equation Pt = a+b (%C). Here <strong>the</strong> assumption is that Pt<br />

follows <strong>the</strong> depth-wise distribution parallel to that <strong>of</strong> C and <strong>the</strong> parameter ‘a’<br />

describes that fraction <strong>of</strong> P <strong>in</strong> soil, which does not undergo any biologically driven<br />

P transformation and translocations. The value <strong>of</strong> ‘a’ is thus based on <strong>the</strong> type <strong>of</strong><br />

bedrock material, which was found to be 5 mg P /100g for silicate-poor diluvial<br />

sand (site - Meppen), 10 mg P/g for <strong>the</strong> diluvial sand which had medium amounts<br />

<strong>of</strong> silicates (site - Sprakensehl), 32 mg P/g for <strong>the</strong> soil from loess on sandstone<br />

(site – Soll<strong>in</strong>g). The value <strong>of</strong> ‘b’ <strong>in</strong> <strong>the</strong> equation can range from 2 to 7 depend<strong>in</strong>g<br />

upon <strong>the</strong> soil type and root<strong>in</strong>g depth. The significance <strong>of</strong> assess<strong>in</strong>g <strong>the</strong> distribution<br />

<strong>of</strong> total P <strong>in</strong> soil <strong>in</strong> relation to organic matter content is <strong>in</strong>dicated by <strong>the</strong> role <strong>of</strong><br />

biological parameters <strong>in</strong> <strong>the</strong> transformation and translocation <strong>of</strong> P <strong>in</strong> a soil pr<strong>of</strong>ile.<br />

• Now assum<strong>in</strong>g that occluded P fractions (Poccl) (which also <strong>in</strong>cludes secondary or<br />

primary silicates) are not taken up by <strong>the</strong> roots and are not <strong>in</strong>volved <strong>in</strong> <strong>the</strong><br />

retranslocation processes, one can def<strong>in</strong>e <strong>the</strong> fraction <strong>of</strong> occluded P as : Poccl / Pt x<br />

100 = a+b log(%C). The values <strong>of</strong> parameter ‘a’ may vary from 30-45% and that<br />

<strong>of</strong> parameter ‘b’ which has negative values <strong>of</strong> 18 – 31. Ulrich (1972) suggested<br />

67

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