Near Infrared Spectroscopy Facilitates Rapid Identification of Both Young and Mature Amazonian Tree Species.
Near Infrared Spectroscopy Facilitates Rapid Identification of Both Young and Mature Amazonian Tree Species.
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DOI：
10.1371/journal.pone.0134521
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Vicentini A
中科院分区：
文献类型：
--
作者：
Lang C;Costa FR;Camargo JL;Durgante FM;Vicentini A
植物物种的精确鉴定需要分类学家的高水平知识和生殖材料的存在。这对那些与幼苗和青少年一起工作的人来说是一个主要的限制，它们在形态上不同于成年人，并且不具有生殖结构。近红外光谱（FT-NIR）以前已被证明是有效的成年植物的物种歧视，所以如果年轻人和成年人有一个类似的光谱特征，判别函数的基础上FT-NIR光谱的成年人可以用来识别叶片从年轻的植物。我们测试了419个植物的样本中的13个亚马逊物种从属Protium和Crepidospermum（Burseraceae）。我们得到了12个光谱读数每株植物，从近轴面和远轴面的干叶，并比较了正确的预测率与判别函数的不同组合的读数的物种。我们发现，最好的模型，用于预测物种在早期发展阶段是那些包含光谱数据从年轻和成年植物（98%正确的预测外部样本），但即使只使用成年光谱，它仍然是可能的，以达到良好的水平，年轻的识别。我们得到了平均75%的正确识别的年轻植物判别方程的基础上，只有成年人，当最翔实的波长被选中。大多数物种被准确预测（75-100%正确识别），只有三个预测不佳（27-60%）。这些结果，尽管事实上，光谱的年轻人是不同的成年人，当物种进行单独分析。我们的结论是，傅立叶变换近红外光谱具有很高的潜力，即使在不同的个体发育阶段的物种识别，年轻的植物可以识别的基础上光谱的成年人有合理的信心。
Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75–100% correct identifications), and only three had poor predictions (27–60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence.