Near infrared spectroscopy of forest soils to determine chemical and biological properties related to soil sustainability

B. Ludwig*, P. K. Khanna, J. Bauhus, P. Hopmans

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    126 Citations (Scopus)

    Abstract

    Sustainability related soil changes due to site disturbance during forest harvesting need to be assessed. Near infrared spectroscopy (NIRS) may be useful for assessing large numbers of samples covering a landscape and dispersed over a long time span. This paper presents an evaluation of the use of NIRS to examine a number of chemical and biological soil properties. One hundred and twenty soil samples were collected from two mountain ash sites in Victoria, Australia, 10 years after forest harvesting. The sites had received a number of site and slash management treatments. Samples were analysed for total contents of C, N, microbial C (Cmic) and N (Nmic), various indices of available soil P and N content in salt solutions. To determine the potentially mineralisable C and N, samples were incubated for 264 days during which CO2 evolution and N mineralisation were periodically determined. For each sample the reflectance spectrum was collected in the NIR (including the visible) range between 400 and 2500 nm. The sample set was broken up randomly for the calibration (n = 40) and validation (n = 80) and the entire spectrum was used to obtain the most suited mathematical (zeroth, first, second or third derivative) results. The validation showed that NIRS was very useful to predict the contents of C and N, and cumulative respiration and N mineralised after 264 days. The slopes (a) of linear regression (measured against predicted values) ranged from 0.9 to 1.1 and correlation coefficients (r) were greater or equal to 0.9. NIRS was quite useful (r ≥ 0.8, 0.8 ≤ a ≤ 1.2) to predict Cmic, cumulative respiration and N mineralisation after 53 days, potentially mineralisable C, and Olsen P. For Nmic, the predictions were less satisfactory (a < 0.8). NIRS failed to predict extractable Bray-II P, long-term available P, extractable mineral N and different ratios (C/N, C/Cmic, N/Nmic and Cmic/Nmic). The promising results obtained for C, N, Olsen P, Cmic, cumulative N and C mineralised, and potentially mineralisable C warrant further testing and use of this simple method for a wide range of samples.

    Original languageEnglish
    Pages (from-to)121-132
    Number of pages12
    JournalForest Ecology and Management
    Volume171
    Issue number1-2
    DOIs
    Publication statusPublished - 1 Nov 2002

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