The Optimal Leaf Biochemical Selection for Mapping Species Diversity Based on Imaging Spectroscopy

The Optimal Leaf Biochemical Selection for Mapping Species Diversity Based on Imaging Spectroscopy
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基于成像光谱的物种多样性图谱的最佳叶片生化选择

DOI:
10.3390/rs8030216
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发表时间:
2016-03
期刊:
影响因子:
5
通讯作者:
Qianjun Zhao
Qianjun Zhao
中科院分区:
工程技术2区
文献类型:
--
作者:
Yuan Zeng;Dan Zhao;Bingfang Wu;Qianjun Zhao

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遥感为跨空间和时间的生物多样性监测提供了一致的观测形式。然而,由于物种分布的复杂性和树冠的重叠,森林物种多样性的区域制图仍然很困难。阿斯纳和马丁开发了一种称为“光谱组学”的新方法,该方法利用成像光谱学根据叶子化学和光谱特征绘制森林物种丰富度图。在本文中,我们基于在中国亚热带森林研究点收集的20种优势树冠物种,使用该方法检测树种的光谱、生化和分类多样性之间的关系。通过光谱特征对八种生化成分(叶绿素、类胡萝卜素、比叶面积、等效水厚度、氮、磷、纤维素和木质素)进行量化(R2= 0.57–0.85,p < 0.01)。我们还发现,基于8个最佳生化成分的模拟最大物种数约为15个,适合本研究区内大多数30 m×30 m林地。这项研究可能支持未来利用机载成像光谱学绘制区域物种多样性地图的工作。
Remote sensing provides a consistent form of observation for biodiversity monitoring across space and time. However, the regional mapping of forest species diversity is still difficult because of the complexity of species distribution and overlapping tree crowns. A new method called “spectranomics” that maps forest species richness based on leaf chemical and spectroscopic traits using imaging spectroscopy was developed by Asner and Martin. In this paper, we use this method to detect the relationships among the spectral, biochemical and taxonomic diversity of tree species, based on 20 dominant canopy species collected in a subtropical forest study site in China. Eight biochemical components (chlorophyll, carotenoid, specific leaf area, equivalent water thickness, nitrogen, phosphorus, cellulose and lignin) are quantified by spectral signatures (R2= 0.57–0.85,p< 0.01). We also find that the simulated maximum species number based on the eight optimal biochemical components is approximately 15, which is suitable for most 30 m × 30 m forest sites within this study area. This research may support future work on regional species diversity mapping using airborne imaging spectroscopy.
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