Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.3
4.2
Journals
Remote Sensing
Special Issues
Remote Sensing of Phytoplankton Ecology
remotesensing-logo
Submit to Remote Sensing Review for Remote Sensing Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Remote Sensing of Phytoplankton Ecology

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 7534

Special Issue Editors

Prof. Dr. Shilin Tang

E-Mail Website
Guest Editor
State Key Laboratory of Tropical Oceanography (LTO), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
Interests: ocean color remote sensing; big earth data
Prof. Dr. Jun Chen

E-Mail Website
Guest Editor
1. School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi'an 710049, China
2. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources of the People’s Republic of China, Hangzhou 310012, China
Interests: marine optics and ocean color remote sensing; remote-sensing software design and development; remote sensing and global climate change; remote sensing of coastal environment; uncertainty of remote-sensing data

Special Issue Information

Dear Colleagues,

Phytoplankton are a fundamental component of the marine ecosystem, and play an important role in global biogeochemical cycling, as well as climate change. Knowledge of marine phytoplankton ecology, such as phytoplankton biomass, primary productivity, and community, is essential for understanding the marine food web, the carbon storage capacity of the ocean, and material exchange at the air–sea interface. With the development of remote sensing, the goal of the simultaneous large-area observation of phytoplankton distribution on the sea surface has been achieved.

A variety of remote-sensing algorithms have been established to detect marine phytoplankton biomass, functional type, and primary productivity. For example, the series of OC algorithms continue to be improved for retrieving chlorophyll-a concentration more accurately. In addition, phytoplankton functional type algorithms are also developing, such as the three-component model of phytoplankton size class. In the context of climate change and global warming, the phytoplankton carbon algorithms are also gradually being established. However, the performances of these algorithms are unsatisfactory in complicated coastal seawater; regional re-parameterization, as well as algorithm validation, requires the joint efforts of scientists around the world. With more reliable algorithms, the study of the temporal and spatial variabilities of phytoplankton will be more credible, and provide more useful information to researchers of marine ecology, global biogeochemical cycling, climate change, and marine physical-ecosystem coupling models.

In this Special Issue, topics include, but are not limited to:

  • Establishment of new remote-sensing algorithms of phytoplankton biomass (i.e., chlorophyll-a concentration, phytoplankton carbon biomass), function type, primary production, and harmful algal blooms;
  • Improvement, re-parameterization, validation, or contrast of current remote-sensing algorithms of phytoplankton;
  • Evaluation of the applicability of current algorithms for phytoplankton ecology to remote-sensing data from different satellites;
  • Studying the response of marine phytoplankton to hydro-physical processes and climate change based on remote sensing;
  • Studying the role of phytoplankton in global carbon circulation based on remote sensing.

Prof. Dr. Shilin Tang
Prof. Dr. Jun Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • remote sensing 
  • phytoplankton
  • algorithms 
  • algal blooms
  • biological response
  • chlorophyll-a concentration
  • phytoplankton carbon biomass
  • phytoplankton function type
  • phytoplankton size class
  • phytoplankton primary production
  • biophysical interaction
  • climate change
  • global carbon cycling

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

22 pages, 15147 KiB  
Article
Temporal Synchrony in Satellite-Derived Ocean Parameters in the Inner Sea of Chiloé, Northern Patagonia, Chile
by Richard Muñoz, Carlos Lara, Johny Arteaga, Sebastián I. Vásquez, Gonzalo S. Saldías, Raúl P. Flores, Junyu He, Bernardo R. Broitman and Bernard Cazelles
Remote Sens. 2023, 15(8), 2182; https://doi.org/10.3390/rs15082182 - 20 Apr 2023
Cited by 2 | Viewed by 2012
Abstract
Spatial synchrony occurs when geographically separated time series exhibit correlated temporal variability. Studies of synchrony between different environmental variables within marine ecosystems worldwide have highlighted the extent of system responses to exogenous large-scale forcing. However, these spatial connections remain largely unstudied in marine [...] Read more.
Spatial synchrony occurs when geographically separated time series exhibit correlated temporal variability. Studies of synchrony between different environmental variables within marine ecosystems worldwide have highlighted the extent of system responses to exogenous large-scale forcing. However, these spatial connections remain largely unstudied in marine systems, particularly complex coastlines, where a paucity of field observations precludes the analysis of time series. Here, we used time-frequency analyses based on wavelet and wavelet coherence (WC) analysis to quantify the synchrony (co-variations) between environmental time series derived from MODIS (moderate resolution imaging spectroradiometer) in the topographically complex inner sea of Chiloé (ISC, 41–44°S) for the 2003–2022 period. We find that the strength of the synchrony between chlorophyll a (Chla) and turbid river plumes (for which we use remote sensing reflectance at 645 nm, Rrs645) varies between the northern and southern areas of the ISC; higher synchrony, measured as the WC between these variables, is observed along the northern basin where water and particle exchanges with the Pacific Ocean are reduced. The WC analysis showed higher synchrony between these variables, with dominant periodicities of 0.5 and 1 year resulting from the hydrological regime of the freshwater input in the area that persisted throughout the 2004–2018 period. Our results suggest that the strong and significant spatial synchrony at the regional scale is likely related to the phases of large-scale climatic oscillations, as inferred through the partial wavelet coherence analysis. Potential mechanisms driving spatial synchrony are discussed in the context of climate and oceanographic regimes in the area. Full article
(This article belongs to the Special Issue Remote Sensing of Phytoplankton Ecology)
►▼ Show Figures

Figure 1

19 pages, 5331 KiB  
Article
Remote Sensing of Marine Phytoplankton Sizes and Groups Based on the Generalized Addictive Model (GAM)
by Yuchao Wang and Fenfen Liu
Remote Sens. 2022, 14(13), 3037; https://doi.org/10.3390/rs14133037 - 24 Jun 2022
Cited by 3 | Viewed by 2454
Abstract
Marine phytoplankton are the basis of the whole marine ecosystem, and different groups of phytoplankton play different roles in the biogeochemical cycle. Satellite remote sensing is widely used in the retrieval of marine phytoplankton over a wide range and long time series, but [...] Read more.
Marine phytoplankton are the basis of the whole marine ecosystem, and different groups of phytoplankton play different roles in the biogeochemical cycle. Satellite remote sensing is widely used in the retrieval of marine phytoplankton over a wide range and long time series, but not yet for taxonomical composition. In this study, we used coincident in situ measurement data from high-performance liquid chromatography (HPLC) and remote sensing reflectance (Rrs) to investigate the empirical relationships between phytoplankton groups and satellite measurements. A nonparametric model, generalized additive model (GAM), is introduced to establish inversion models of various marine phytoplankton groups. Seven inversion models (two sizes classes among the microphytoplankton and nanophytoplankton and four groups among the diatoms, dinoflagellates, chrysophytes, and cryptophytes) are applied to the South China Sea (SCS) for 2020, and satellite images of phytoplankton sizes and groups are presented. Microphytoplankton prevails in the coastal and continental shelf, and nanophytoplankton prevails in oligotrophic oceans. Among them, the dominant contribution of microphytoplankton comes from diatoms, and nanophytoplankton comes from chrysophytes. Diatoms (nearshore) and chrysophytes (outside the continental shelf) are the dominant groups in the SCS throughout the year. Dinoflagellates only become dominant in some coastal areas, while cryptophytes rarely become dominant. Full article
(This article belongs to the Special Issue Remote Sensing of Phytoplankton Ecology)
►▼ Show Figures

Graphical abstract

20 pages, 11442 KiB  
Article
Enhanced Chlorophyll-a in the Coastal Waters near the Eastern Guangdong during the Downwelling Favorable Wind Period
by Chaoyu Yang and Haibin Ye
Remote Sens. 2022, 14(5), 1138; https://doi.org/10.3390/rs14051138 - 25 Feb 2022
Cited by 3 | Viewed by 2064
Abstract
Phytoplankton dynamics, which are highly sensitive to the ecosystem condition and change, are different in coastal waters and open ocean. Previous researches mainly focused on the open ocean dynamic in the South China Sea (SCS), but few research on the Eastern Guangdong (EGD), [...] Read more.
Phytoplankton dynamics, which are highly sensitive to the ecosystem condition and change, are different in coastal waters and open ocean. Previous researches mainly focused on the open ocean dynamic in the South China Sea (SCS), but few research on the Eastern Guangdong (EGD), especially during a period of downwelling-favorable winds. In fact, the influence of topographic irregularities, downwelling, continental outflows, and cold, nutrient-rich currents from Fujian-Zhejiang coastal waters (ZFC) of the East China Sea (ECS) on the spatial distribution of Chlorophyll a (Chl a) in EGD coastal waters could be significant. This study utilized ocean color time series and meteorological and hydrographic data jointly from July 2002 to June 2020 to investigate the heterogeneous regional specific distribution pattern of Chl a in EGD and the environmental determinants in different regions subdivided by water depth. Then the temporal and spatial distribution pattern of Chl a in EGD in winter were discussed in detail by applying an Empirical Orthogonal Function (EOF) analysis, GaoFeng-1 (GF-1) satellite data and in situ measured dataset. The sea surface temperature (SST) in February was negatively related with Chl a in shallow coastal waters less than 60 m deep due to the nutrient-rich, cold waters from ZFC. The monthly mean photosynthetically active radiation (PAR) and precipitation showed significant effects on the phytoplankton growth over regions with a depth less than 10 m. An area with higher Chl a concentration in the downwelling zone were detected in winter. By an examining the temporal variability in meridional distribution of the mean Chl a at 22.41°N and 22.21°N, a symmetrical peak was observed. The coastal fronts extended southwestward from the southeastern coast of Guangdong Province to Dangan Island in the SCS. In addition, a cross-shelf filament was detected near the coast of Shanwei, Guangdong, China on 8 January 2020. Full article
(This article belongs to the Special Issue Remote Sensing of Phytoplankton Ecology)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop