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it may be still worth consider<strong>in</strong>g a trial for a restricted number <strong>of</strong> sites such as<br />

<strong>in</strong>tensive monitor<strong>in</strong>g (Level II) sites.<br />

(b) The second possibility is to use surrogate measures such as near <strong>in</strong>frared (NIR) or<br />

mid <strong>in</strong>frared (MIR) spectroscopy and develop statistical models for which <strong>the</strong> data<br />

<strong>of</strong> selected samples for desorption set would be available. NIRS is a simple and<br />

cheap technique to handle a big set <strong>of</strong> samples as will be available for <strong>the</strong> BZE.<br />

There have been a number <strong>of</strong> studies reported <strong>in</strong> literature, where this technique<br />

has been tested for assess<strong>in</strong>g P <strong>in</strong> <strong>the</strong> soil and plant samples. It has shown to be<br />

useful for study<strong>in</strong>g retention <strong>of</strong> P by Al and Fe rich humus soils (Giesler et al<br />

2005).It is rout<strong>in</strong>ely already used <strong>in</strong> some laboratories for C and N analysis.<br />

In short <strong>the</strong> suggested development <strong>of</strong> a suitable method will <strong>in</strong>clude <strong>the</strong> follow<strong>in</strong>g<br />

steps:<br />

1. Prelim<strong>in</strong>ary experiment on a small set <strong>of</strong> samples from BZE collective to test <strong>the</strong><br />

suitability <strong>of</strong> different anion based extractants <strong>in</strong>clud<strong>in</strong>g anion res<strong>in</strong> exchange<br />

methods. The subset <strong>of</strong> BZE1 samples that cover <strong>the</strong> wide variation <strong>in</strong> soil<br />

conditions encountered.<br />

2. A set <strong>of</strong> suitable soil samples will be selected from BZE collective to develop<br />

desorption procedure <strong>in</strong>clud<strong>in</strong>g <strong>the</strong> fitt<strong>in</strong>g <strong>of</strong> <strong>the</strong> desorption iso<strong>the</strong>rm to obta<strong>in</strong> <strong>the</strong><br />

capacity and <strong>the</strong> rate functions. The number <strong>of</strong> samples will depend upon <strong>the</strong><br />

different types <strong>of</strong> soil matrix to be <strong>in</strong>cluded <strong>in</strong> prediction models.<br />

3. This set <strong>of</strong> soil samples will be used for NIRS and/or MIRS analysis and<br />

appropriate calibration and validation models will be developed to obta<strong>in</strong><br />

parameters <strong>of</strong> desorption iso<strong>the</strong>rms.<br />

4. All soil samples <strong>in</strong> <strong>the</strong> BZE collective will be analysed with NIRS or MIRS to<br />

predict <strong>the</strong> desorption parameters. Desorption parameters will <strong>the</strong>n provide soil<br />

data to assess <strong>the</strong> <strong>status</strong> and <strong>changes</strong> <strong>in</strong> <strong>the</strong> P supply <strong>of</strong> soils.<br />

3.5 Summary <strong>of</strong> P <strong>in</strong> Forest Soils<br />

Dynamics <strong>of</strong> P <strong>in</strong> <strong>forest</strong> soils <strong>in</strong>volve both <strong>the</strong> organic and <strong>in</strong>organic fractions which<br />

are <strong>in</strong> different dynamic equilibria <strong>in</strong>volv<strong>in</strong>g various processes <strong>of</strong> m<strong>in</strong>eralization,<br />

immobilization, desorption, solubilisation, retention and uptake. It is <strong>the</strong>refore hard to<br />

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