Near infrared spectroscopy of forest soils to determine chemical and biological properties related to soil sustainability
Near infrared spectroscopy of forest soils to determine chemical and biological properties related to soil sustainability
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DOI：
10.1016/s0378-1127(02)00467-x
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发表时间：
2002-11-01
影响因子：
3.7
通讯作者：
Hopmans, P
中科院分区：
文献类型：
--
作者：
Ludwig, B;Khanna, PK;Hopmans, P
需要对森林采伐期间因场地干扰而引起的与可持续性有关的土壤变化进行评估。近红外光谱（NIRS）可用于评估覆盖景观并在长时间跨度内分散的大量样品。本文介绍了使用近红外光谱来检查一些化学和生物土壤特性的评价。在森林采伐10年后，从澳大利亚维多利亚州的两个山灰地点收集了120个土壤样本。这些场地已经接受了一些场地和斜面管理处理。分析样品中总C、N、微生物C （Cmic）和N （Nmic）含量以及盐溶液中速效磷、氮含量的各项指标。为了确定潜在的可矿化C和N，样品孵育264天，在此期间定期测定CO2演化和N矿化。每个样品的反射光谱在400 ~ 2500nm的近红外（包括可见光）范围内采集。随机分解样本集进行校准（n = 40）和验证（n = 80），并使用整个光谱获得最合适的数学（零阶，一阶，二阶或三阶导数）结果。验证结果表明，近红外光谱对预测264 d后碳、氮含量、累积呼吸和氮矿化非常有用。线性回归的斜率(a)（根据预测值测量）范围为0.9至1.1，相关系数(r)大于或等于0.9。NIRS在预测53天后Cmic、累积呼吸和N矿化、潜在矿化C和Olsen r方面非常有用（r大于等于0.8,0.8小于等于1.2）。对于Nmic，预测结果不太令人满意（a < 0.8）。近红外光谱无法预测可提取的bry - ii磷、长期有效磷、可提取矿物氮和不同比例（C/N、C/Cmic、N/Nmic和Cmic/Nmic）。对于C、N、Olsen P、Cmic、累积N和C矿化以及潜在矿化的C，所获得的有希望的结果值得进一步测试，并将这种简单的方法用于广泛的样品中。(C) 2002 Elsevier Science B.V.版权所有
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 greater than or equal to 0.8, 0.8 less than or equal to a less than or equal to 1.2) to predict Cmic, cumulative respiration and N mineralisation after 53 days, potentially mineralisable C, and Olsen R 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. (C) 2002 Elsevier Science B.V. All rights reserved.