Spatio-temporal Distribution of Phytoplankton Pigments in Northumberland Strait

Spatio-temporal Distribution of Phytoplankton Pigments in Northumberland Strait PDF Author: César Fuentes-Yaco
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ISBN:
Category : Artificial satellites in remote sensing
Languages : en
Pages : 42

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Spatio-temporal Distribution of Phytoplankton Pigments in Northumberland Strait

Spatio-temporal Distribution of Phytoplankton Pigments in Northumberland Strait PDF Author: César Fuentes-Yaco
Publisher:
ISBN:
Category : Artificial satellites in remote sensing
Languages : en
Pages : 42

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Spatial and temporal distribution of phytoplankton and primary production in the western Bransfield Strait region

Spatial and temporal distribution of phytoplankton and primary production in the western Bransfield Strait region PDF Author: O. HOLM-HANSEN
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Spatio-temporal Biomass Distribution of Surf Zone Phytoplankton

Spatio-temporal Biomass Distribution of Surf Zone Phytoplankton PDF Author: Diana Sophia Sloff
Publisher:
ISBN:
Category : Phytoplankton
Languages : en
Pages : 304

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Estimating Phytoplankton Pigments in the Changing Arctic Ocean

Estimating Phytoplankton Pigments in the Changing Arctic Ocean PDF Author: Yangyang Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Human-induced climate change is amplified in the Arctic. At the root of these amplifications are changes in air temperature and sea ice. The sea-ice cover is dramatically receding in the Arctic Ocean. In the study region of the thesis, the Fram Strait (the largest and only deep gateway to the Arctic Ocean) and its vicinity, changes have been observed in sea-ice conditions and water temperatures due to Arctic warming. This has consequences for phytoplankton. Phytoplankton are one of the main primary producers in the Arctic Ocean. Arctic warming induced alterations in light and nutrient regimes impact phytoplankton seasonality, biomass, community composition and distribution. Phytoplankton biomass and community composition are often indicated by their pigment composition and concentrations. To study the response of phytoplankton to the changing climate, this thesis aims to estimate phytoplankton pigments using observations from the shipboard underway flow-through AC-S spectrophotometer system and the Regulated Ecosystem model version 2 (REcoM2) (Hohn, 2008; Schartau et al., 2007) implemented with phytoplankton growth and photoinhibition models. In the first part of the thesis, an underway flow-through AC-S system was set up onboard R.V. Polarstern during two Fram Strait cruises, PS93.2 and PS99.2. Hyperspectral particulate absorption coefficient was derived from the underway AC-S measurements. Particulate absorption line height at 676 nm calculated from particulate absorption coefficient was empirically related to high performance liquid chromatography (HPLC) chlorophyll a (Chl a) concentrations for PS93.2 and PS99.2, respectively. Both relationships were applied to high frequency (4 Hz) AC-S data to estimate Chl a concentrations along the cruise tracks. In total, 24424 and 16110 Chl a data points were generated for PS93.2 and PS99.2, respectively. The reconstructed AC-S Chl a data sets were used to evaluate seven satellite Chl a algorithms. The number of AC-S-satellite match-ups is over one order of magnitude greater than HPLC-satellite match-ups. AC-S-satellite match-ups show that all algorithms were characterized by an overestimation of satellite Chl a. Two algorithms based on Polymer atmospheric correction processors (Steinmetz et al., 2011) generated data products with relatively high estimation precision and small error. The Polymer atmospheric correction processors account for sun glint and thin clouds in their reflectance models to derive atmospheric corrected remote sensing reflectance, allowing a much larger spatial coverage of data than using standard atmospheric correction processors. In the Arctic Ocean where operational satellite ocean color data have relatively low space-time resolution, Polymer algorithms are promising candidates in enlarging satellite ocean color data sets, e.g., for Sentinel-3/OLCI satellite sensor, given more validation activities are performed in the future. In the second part of the thesis, the underway flow-through AC-S system was set up onboard R.V. Polarstern during the Fram Strait cruise PS107, in addition to PS93.2 and PS99.2. AC-S derived hyperspectral particulate absorption coefficient were matched with HPLC pigments data. In total, 298 match-ups were used as the pigment retrieval data set. Two pigment retrieval algorithms, Gaussian decomposition (Chase et al., 2013) and the singular value decomposition combined with non-negative least squares (SVD-NNLS) inversion method (Moisan et al., 2011) were compared and optimized for estimating various phytoplankton pigments or pigment groups from the particulate absorption coefficient data. The Gaussian decomposition method provides good estimates (median absolute percentage error, MPE 21-34%) of Chl a, chlorophyll b, chlorophyll c1 and c2, photosynthetic carotenoids and photoprotective carotenoids (PPC). This method outperformed the SVD-NNLS method in retrieving chlorophyll b, chlorophyll c1 and c2, photosynthetic carotenoids, and PPC. However, SVD-NNLS enables robust retrievals of specific carotenoids (MPE 37-65%), i.e., fucoxanthin, diadinoxanthin and 19-hexanoyloxyfucoxanthin, which is currently not accomplished by Gaussian decomposition. More robust predictions are obtained using the Gaussian decomposition method when the observed spectral phytoplankton absorption coefficient is normalized by the package effect index at 675 nm. The latter is determined as a function of ”packaged” phytoplankton absorption coefficient at 675 nm and Chl a concentrations, which shows potential for improving pigment retrieval accuracy by the combined use of phytoplankton absorption coefficient and Chl a data. Both approaches provide useful information on pigment distribution, and hence phytoplankton community composition indicators, at a spatial resolution much finer than can be achieved with discrete HPLC samples. Xanthophyll pigments provide one of the most important photoprotective mechanisms to dissipate the excess light energy and prevent photoinhibition. In the third part of the thesis, phytoplankton growth models of Geider et al. (1998), the Geider model, and Marshall et al. (2000), the Marshall model, were implemented into REcoM2 to predict the photoprotective needs of phytoplankton and their attributions from phytoplankton PPC, physiological state, and community composition. Assume that photoinhibition is negligible in phytoplankton communities acclimated to ambient light (Cullen et al., 1992). The difference between the photosynthesis-irradiance (P-E) curves with (Marshall) and without photoinhibition (Geider) is considered a measure of photoprotective needs in order to minimize such photoinhibition. The degree of phytoplankton photoprotection is represented by the difference of the initial slopes of the P-E curves between the Marshall and Geider models. It was then related to the HPLC PPC/Chl a data, producing a 4-D global map of PPC/Chl a estimates. These estimates were in agreement with field observations in most of the surface ocean, at depth and even across seasons, suggesting the role of PPC in photoprotective activities in the global ocean. However, at higher latitudes, discrepancies between predictions and observations suggested PPC content was insufficient to satisfy phytoplankton protective needs the community and thus other mechanisms of nonphotochemical quenching were relevant. Furthermore, at higher latitudes, changes in PPC content can result from both physiological acclimation and shifts in community composition while in the rest of ocean taxonomic changes played a main role. A comprehensive view of the phytoplankton community pigment signature is crucial for modeling the coupling of light absorption to carbon fixation in the ocean. Future validation of the above model can use the combined HPLC observations and pigment estimates from underway flow-through AC-S system. Furthermore, this work provides insights on how much of the variability in community PPC ratios is attributable to changes in community composition or changes in physiological state. This may allow an improvement of the match between satellite ocean color data and the underlying phytoplankton community. In addition, these insights may contribute to a better understanding of the effect of phytoplankton photoacclimation on the accuracy of satellite ocean color products in the Arctic Ocean.

Phytoplankton pigment in the Gulf of St. Lawrence, Canada, as determined by the Coastal Zone Color Scanner - Part I

Phytoplankton pigment in the Gulf of St. Lawrence, Canada, as determined by the Coastal Zone Color Scanner - Part I PDF Author: C. FUENTES-YACO
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Studies on the Distribution of Phytoplankton Pigments and Nutriets in the Milwaukee Harbor Area

Studies on the Distribution of Phytoplankton Pigments and Nutriets in the Milwaukee Harbor Area PDF Author: Max L. Bothwell
Publisher:
ISBN:
Category :
Languages : en
Pages : 93

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Distribution of phytoplankton pigments in the North Pacific Ocean in relation to physical and optical variability

Distribution of phytoplankton pigments in the North Pacific Ocean in relation to physical and optical variability PDF Author: M.E. ONDRUSEK
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ISBN:
Category :
Languages : en
Pages :

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Distribution of Phytoplankton Pigments in the North Pacific Ocean in Relation to Optical and Physical Variability

Distribution of Phytoplankton Pigments in the North Pacific Ocean in Relation to Optical and Physical Variability PDF Author: Michael Ernest Ondrusek
Publisher:
ISBN:
Category : Chlorophyll
Languages : en
Pages : 282

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Ecology of Cyanobacteria II

Ecology of Cyanobacteria II PDF Author: Brian A. Whitton
Publisher: Springer Science & Business Media
ISBN: 9400738552
Category : Science
Languages : en
Pages : 753

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Book Description
Cyanobacteria have existed for 3.5 billion years, yet they are still the most important photosynthetic organisms on the planet for cycling carbon and nitrogen. The ecosystems where they have key roles range from the warmer oceans to many Antarctic sites. They also include dense nuisance growths in nutrient-rich lakes and nitrogen-fixers which aid the fertility of rice-fields and many soils, especially the biological soil crusts of arid regions. Molecular biology has in recent years provided major advances in our understanding of cyanobacterial ecology. Perhaps for more than any other group of organisms, it is possible to see how the ecology, physiology, biochemistry, ultrastructure and molecular biology interact. This all helps to deal with practical problems such as the control of nuisance blooms and the use of cyanobacterial inocula to manage semi-desert soils. Large-scale culture of several organisms, especially "Spirulina" (Arthrospira), for health food and specialist products is increasingly being expanded for a much wider range of uses. In view of their probable contribution to past oil deposits, much attention is currently focused on their potential as a source of biofuel. Please visit http://extras.springer.com/ to view Extra Materials belonging to this volume. This book complements the highly successful Ecology of Cyanobacteria and integrates the discoveries of the past twelve years with the older literature.

Marine and Coastal Systems of the Quoddy Region, New Brunswick

Marine and Coastal Systems of the Quoddy Region, New Brunswick PDF Author: Martin Lewis Hall Thomas
Publisher:
ISBN:
Category : Nature
Languages : fr
Pages : 324

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The book describes the main marine and coastal biological systems of Passamaquoddy Bay and adjacent waters and the oceanographic and meteorological characteristics of the area. Subject areas begin with meteorolgy and oceanography. The second group covers the intertidal systems with chapters on rocky intertidal shores, rock pools, coarse sedimentary shores and salt marshes. The third general section covers hard and sedimentary sublittoral habitats. Following chapters discuss pelagic systems under the headings fishes, phytoplankton, larger zooplankton, and microzooplankton. Three chapters deal with the birds, amphibians and reptiles, and marine mammals. Finally coastal vegetation is described.