干旱区生态环境知识资源中心(Arid): The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity

Arid

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; Sun, Yihan; Chen, Wenhe; Zhao, Yanping; Liu, Xiaoliang; Bai, Yongfei
通讯作者	Bai, YF (corresponding author), Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China. ; Bai, YF (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:15
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.
英文关键词	grassland biodiversity remote sensing functional trait spectral diversity imaging spectroscopy
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000682205300001
WOS关键词	IMAGING SPECTROSCOPY ; TIME-SERIES ; BIODIVERSITY ; CLASSIFICATION ; PRODUCTIVITY ; VARIABILITY ; FOREST ; DISCRIMINATION ; CONSEQUENCES ; INFORMATION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院地理科学与资源研究所 ; 中国科学院植物研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368584
作者单位	[Zhao, Yujin; Sun, Yihan; Chen, Wenhe; Zhao, Yanping; Liu, Xiaoliang; Bai, Yongfei] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China; [Sun, Yihan] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100049, Peoples R China; [Liu, Xiaoliang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; [Bai, Yongfei] 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]. 中国科学院地理科学与资源研究所, 中国科学院植物研究所,2021,13(15).
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).
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).