Eucalyptus pellita F. Muell. has become an important tree species in the forest plantations of SE Asia, and in Malaysian Borneo in particular, to replace thousands of hectares of Acacia mangium Willd. which has suffered significant loss caused by Ceratocystis manginecans infection in Sabah, Malaysia. Since its first introduction at a commercial scale in 2012, E. pellita has been planted in many areas in the region. The species replacement requires new silvicultural practices to induce the adaptability of E. pellita to grow in the region and this includes relevant research to optimise such regimes as planting distance, pruning, weeding practices and nutrition regimes. In this present study, the nutritional status of the foliage was investigated with the aim to develop near infrared spectroscopic calibrations that can be used to monitor and quantify nutrient status, particularly total foliar nitrogen (N) and phosphorus (P) in the field. Spectra acquired on fresh foliage in situ on the tree could be used to predict N and P with accuracy suitable for operational decision-making regards fertiliser application. If greater accuracy is required, spectra acquired on dry, milled foliage could be used to predict N and P within a relative error of 10% (R²_c, r²_CV, RMSEP, RPD = 0.77, 0.71, 0.02 g 100/g, 1.9 for foliar P and = 0.90, 0.88, 0.21 g 100/g, 3.0 for foliar N on dry, milled foliage). The ultimate application of this is in situ nutrient monitoring, particularly to aid longitudinal studies in fertiliser trial plots and forest operations, as the non-destructive nature of NIR spectroscopy would enable regular monitoring of individual leaves over time without the need to destructively sample them. This would aid the temporal and spatial analysis of field data.

桉树pellita F.Muell。在东南亚的人工林中，尤其是在马来西亚婆罗洲，它已成为重要的树种，以取代成千上万的相思树（Acacia mangium Willd）。该病在马来西亚沙巴州遭受了因Ceratocystis manginecans感染所造成的重大损失。自2012年以商业规模首次引入以来，E。pellita已在该地区的许多地区种植。物种替换需要新的造林实践，以诱导E. pellita的适应性在该地区的种植，其中包括相关研究，以优化种植距离，修剪，除草方法和营养制度等制度。在本研究中，对叶的营养状况进行了研究，目的是开发可用于监测和量化养分状况（特别是田间总叶面氮（N）和磷（P））的近红外光谱校准。在树上就地获取的新鲜树叶上获得的光谱可用于预测氮和磷，其准确度适合于肥料施用的操作决策。如果需要更高的精度，则可以使用在干燥，磨碎的叶子上获得的光谱来预测N和P，相对误差为10％（R ² _c，r ² _CV，对于叶面P，RMSEP，RPD = 0.77，0.71，0.02 g 100 / g，1.9，对于干燥，磨碎的叶子，叶面N = 0.90，0.88，0.21 g 100 / g，3.0）。这种方法的最终应用是就地养分监测，特别是有助于在肥料试验区和森林经营中进行纵向研究，因为近红外光谱的非破坏性性质使得随着时间的推移可以对单个叶片进行定期监测，而无需进行破坏性采样。这将有助于现场数据的时空分析。