DOI: 10.1002/2017JC013195
Scopus记录号: 2-s2.0-85042229209
论文题名: Phytoplankton Pigment Communities Can be Modeled Using Unique Relationships With Spectral Absorption Signatures in a Dynamic Coastal Environment
作者: Catlett D. ; Siegel D.A.
刊名: Journal of Geophysical Research: Oceans
ISSN: 21699275
出版年: 2018
卷: 123, 期: 1 起始页码: 246
结束页码: 264
语种: 英语
英文关键词: phytoplankton functional types
; phytoplankton pigment chemotaxonomy
; remote sensing
Scopus关键词: absorbance
; absorption coefficient
; biogeochemical cycle
; chemotaxonomy
; chlorophyll a
; coastal zone
; community composition
; community structure
; functional group
; ocean color
; phytoplankton
; pigment
; remote sensing
; satellite sensor
; spectral analysis
; statistical analysis
; California
; Santa Barbara Channel
; United States
英文摘要: Understanding the roles of phytoplankton community composition in the functioning of marine ecosystems and ocean biogeochemical cycles is important for many ocean science problems of societal relevance. Remote sensing currently offers the only feasible method for continuously assessing phytoplankton community structure on regional to global scales. However, methods are presently hindered by the limited spectral resolution of most satellite sensors and by uncertainties associated with deriving quantitative indices of phytoplankton community structure from phytoplankton pigment concentrations. Here we analyze a data set of concurrent phytoplankton pigment concentrations and phytoplankton absorption coefficient spectra from the Santa Barbara Channel, California, to develop novel optical oceanographic models for retrieving metrics of phytoplankton community composition. Cluster and Empirical Orthogonal Function analyses of phytoplankton pigment concentrations are used to define up to five phytoplankton pigment communities as a representation of phytoplankton functional types. Unique statistical relationships are found between phytoplankton pigment communities and absorption features isolated using spectral derivative analysis and are the basis of predictive models. Model performance is substantially better for phytoplankton pigment community indices compared with determinations of the contributions of individual pigments or taxa to chlorophyll a. These results highlight the application of data-driven chemotaxonomic approaches for developing and validating bio-optical algorithms and illustrate the potential and limitations for retrieving phytoplankton community composition from hyperspectral satellite ocean color observations. © 2017. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114823
Appears in Collections: 气候减缓与适应
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作者单位: Earth Research Institute, University of California, Santa Barbara, CA, United States; Department of Geography, University of California, Santa Barbara, CA, United States
Recommended Citation:
Catlett D.,Siegel D.A.. Phytoplankton Pigment Communities Can be Modeled Using Unique Relationships With Spectral Absorption Signatures in a Dynamic Coastal Environment[J]. Journal of Geophysical Research: Oceans,2018-01-01,123(1)