The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity

doi:10.3390/rs13153034

	The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity
	Zhao, Yujin 1; Sun, Yihan 1,2; Chen, Wenhe 1; Zhao, Yanping 1; Liu, Xiaoliang 1,3; Bai, Yongfei 1,4
刊名	REMOTE SENSING
	2021-08-01
卷号	13 期号:15 页码:18
关键词	grassland biodiversity remote sensing functional trait spectral diversity imaging spectroscopy
DOI	10.3390/rs13153034
通讯作者	Bai, Yongfei(yfbai@ibcas.ac.cn)
英文摘要	Mapping biodiversity is essential for assessing conservation and ecosystem services in global terrestrial ecosystems. Compared with remotely sensed mapping of forest biodiversity, that of grassland plant diversity has been less studied, because of the small size of individual grass species and the inherent difficulty in identifying these species. The technological advances in unmanned aerial vehicle (UAV)-based or proximal imaging spectroscopy with high spatial resolution provide new approaches for mapping and assessing grassland plant diversity based on spectral diversity and functional trait diversity. However, relatively few studies have explored the relationships among spectral diversity, remote-sensing-estimated functional trait diversity, and species diversity in grassland ecosystems. In this study, we examined the links among spectral diversity, functional trait diversity, and species diversity in a semi-arid grassland monoculture experimental site. The results showed that (1) different grassland plant species harbored different functional traits or trait combinations (functional trait diversity), leading to different spectral patterns (spectral diversity). (2) The spectral diversity of grassland plant species increased gradually from the visible (VIR, 400-700 nm) to the near-infrared (NIR, 700-1100 nm) region, and to the short-wave infrared (SWIR, 1100-2400 nm) region. (3) As the species richness increased, the functional traits and spectral diversity increased in a nonlinear manner, finally tending to saturate. (4) Grassland plant species diversity could be accurately predicted using hyperspectral data (R-2 = 0.73, p < 0.001) and remotely sensed functional traits (R-2 = 0.66, p < 0.001) using cluster algorithms. This will enhance our understanding of the effect of biodiversity on ecosystem functions and support regional grassland biodiversity conservation.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23080303] ; National Natural Science Foundation of China[41801230]
WOS关键词	IMAGING SPECTROSCOPY ; TIME-SERIES ; BIODIVERSITY ; CLASSIFICATION ; PRODUCTIVITY ; VARIABILITY ; FOREST ; DISCRIMINATION ; CONSEQUENCES ; INFORMATION
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000682205300001
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/164745]
专题	中国科学院地理科学与资源研究所
通讯作者	Bai, Yongfei
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Yujin,Sun, Yihan,Chen, Wenhe,et al. The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity[J]. REMOTE SENSING,2021,13(15):18.
APA	Zhao, Yujin,Sun, Yihan,Chen, Wenhe,Zhao, Yanping,Liu, Xiaoliang,&Bai, Yongfei.(2021).The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity.REMOTE SENSING,13(15),18.
MLA	Zhao, Yujin,et al."The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity".REMOTE SENSING 13.15(2021):18.