干旱区生态环境知识资源中心(Arid): Spectral Diversity Successfully Estimates the alpha-Diversity of Biocrust-Forming Lichens

Arid

DOI	10.3390/rs11242942
	Spectral Diversity Successfully Estimates the alpha-Diversity of Biocrust-Forming Lichens
	Blanco-Sacristan, Javier 1; Panigada, Cinzia 1; Tagliabue, Giulia 1; Gentili, Rodolfo 1; Colombo, Roberto 1; Ladron de Guevara, Monica 2,3; Maestre, Fernando T.4; Rossini, Micol 1
通讯作者	Blanco-Sacristan, Javier
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:24
英文摘要	Biocrusts, topsoil communities formed by mosses, lichens, liverworts, algae, and cyanobacteria, are a key biotic component of dryland ecosystems worldwide. Experiments carried out with lichen- and moss-dominated biocrusts indicate that climate change may dramatically reduce their cover and diversity. Therefore, the development of reproducible methods to monitor changes in biocrust diversity and abundance across multiple spatio-temporal scales is key for evaluating how climate change may impact biocrust communities and the myriad of ecosystem functions and services that rely on them. In this study, we collected lichen-dominated biocrust samples from a semi-arid ecosystem in central Spain. Their alpha-diversity was then evaluated using very high spatial resolution hyperspectral images (pixel size of 0.091 mm) measured in laboratory under controlled conditions. Support vector machines were used to map the biocrust composition. Traditional alpha-diversity metrics (i.e., species richness, Shannon's, Simpson's, and Pielou's indices) were calculated using lichen fractional cover data derived from their classifications in the hyperspectral imagery. Spectral diversity was calculated at different wavelength ranges as the coefficient of variation of different regions of the reflectance spectra of lichens and as the standard deviation of the continuum removal algorithm (SD_CR). The accuracy of the classifications of the images obtained was close to 100%. The results showed the best coefficient of determination (r(2) = 0.47) between SD_CR calculated at 680 nm and the alpha-diversity calculated as the Simpson's index, which includes species richness and their evenness. These findings indicate that this spectral diversity index could be used to track spatio-temporal changes in lichen-dominated biocrust communities. Thus, they are the first step to monitor alpha-diversity of biocrust-forming lichens at the ecosystem and regional levels, a key task for any program aiming to evaluate changes in biodiversity and associated ecosystem services in drylands.
英文关键词	biocrusts biological soil crust spectral diversity chlorophyll continuum removal biodiversity alpha-diversity support vector machine remote sensing
类型	Article
语种	英语
国家	Italy ; Spain
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000507333400058
WOS关键词	BIOLOGICAL SOIL CRUSTS ; REFLECTANCE SPECTRA ; SPECIES-DIVERSITY ; NATIONAL-PARK ; BIODIVERSITY ; CYANOBACTERIA ; SPECTROSCOPY ; RICHNESS ; INDEX ; AREA
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
EI主题词	2019-12-02
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311517
作者单位	1.Univ Milano Bicocca, Remote Sensing Environm Dynam Lab, I-20126 Milan, Italy; 2.Univ Rey Juan Carlos, Mostoles 28933, Spain; 3.CREAF CSIC UAB, Ctr Ecol Res & Forestry Applicat, Barcelona 08193, Spain; 4.Univ Alicante, Dept Ecol, Alicante 03690, Spain
推荐引用方式 GB/T 7714	Blanco-Sacristan, Javier,Panigada, Cinzia,Tagliabue, Giulia,et al. Spectral Diversity Successfully Estimates the alpha-Diversity of Biocrust-Forming Lichens[J],2019,11(24).
APA	Blanco-Sacristan, Javier.,Panigada, Cinzia.,Tagliabue, Giulia.,Gentili, Rodolfo.,Colombo, Roberto.,...&Rossini, Micol.(2019).Spectral Diversity Successfully Estimates the alpha-Diversity of Biocrust-Forming Lichens.REMOTE SENSING,11(24).
MLA	Blanco-Sacristan, Javier,et al."Spectral Diversity Successfully Estimates the alpha-Diversity of Biocrust-Forming Lichens".REMOTE SENSING 11.24(2019).