Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach

A dataset of nearly 400 measurements of the particle size distribution (PSD) compiled from the Pacific, Atlantic, and Arctic Oceans is used to examine variability in the magnitude and shape of the PSD, and to characterize the partitioning of particle number, cross-sectional area, and volume concentr...

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Main Authors: Reynolds, Rick A, Stramski, Dariusz
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2021
Subjects:
Online Access:https://escholarship.org/uc/item/25w2h0fz
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spelling ftcdlib:oai:escholarship.org:ark:/13030/qt25w2h0fz 2023-11-05T03:39:51+01:00 Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach Reynolds, Rick A Stramski, Dariusz e2021jc017946 2021-12-01 application/pdf https://escholarship.org/uc/item/25w2h0fz unknown eScholarship, University of California qt25w2h0fz https://escholarship.org/uc/item/25w2h0fz public Journal of Geophysical Research - Oceans, vol 126, iss 12 Earth Sciences Atmospheric Sciences Life Below Water marine ecosystems suspended particle concentration particle size distribution plankton size classes Geophysics Oceanography Physical Geography and Environmental Geoscience article 2021 ftcdlib 2023-10-09T18:04:27Z A dataset of nearly 400 measurements of the particle size distribution (PSD) compiled from the Pacific, Atlantic, and Arctic Oceans is used to examine variability in the magnitude and shape of the PSD, and to characterize the partitioning of particle number, cross-sectional area, and volume concentration among defined size intervals. The results indicate that the relative contributions of three size classes based upon the pico-, nano-, and microplankton size range exhibit substantial changes among measures of particle size and between oceanic environments. The single-slope power law model commonly employed to characterize the PSD in aquatic studies is demonstrated to have significant limitations in capturing the complexity of PSD shapes observed for natural particle assemblages, and in consequence poorly predicts the relative contributions of these different size intervals. We show that specific percentile diameters derived from the cumulative distributions of particle size are strongly correlated with the contributions of these three size classes, and that these non-parametric descriptors of the cumulative distribution provide superior performance for estimating their contributions while requiring no assumption of underlying PSD shape. A comparison of these predictive relationships with independent field measurements suggests that this approach is generally robust for particle assemblages representing a wide diversity of marine environments. Article in Journal/Newspaper Arctic University of California: eScholarship
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language unknown
topic Earth Sciences
Atmospheric Sciences
Life Below Water
marine ecosystems
suspended particle concentration
particle size distribution
plankton
size classes
Geophysics
Oceanography
Physical Geography and Environmental Geoscience
spellingShingle Earth Sciences
Atmospheric Sciences
Life Below Water
marine ecosystems
suspended particle concentration
particle size distribution
plankton
size classes
Geophysics
Oceanography
Physical Geography and Environmental Geoscience
Reynolds, Rick A
Stramski, Dariusz
Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach
topic_facet Earth Sciences
Atmospheric Sciences
Life Below Water
marine ecosystems
suspended particle concentration
particle size distribution
plankton
size classes
Geophysics
Oceanography
Physical Geography and Environmental Geoscience
description A dataset of nearly 400 measurements of the particle size distribution (PSD) compiled from the Pacific, Atlantic, and Arctic Oceans is used to examine variability in the magnitude and shape of the PSD, and to characterize the partitioning of particle number, cross-sectional area, and volume concentration among defined size intervals. The results indicate that the relative contributions of three size classes based upon the pico-, nano-, and microplankton size range exhibit substantial changes among measures of particle size and between oceanic environments. The single-slope power law model commonly employed to characterize the PSD in aquatic studies is demonstrated to have significant limitations in capturing the complexity of PSD shapes observed for natural particle assemblages, and in consequence poorly predicts the relative contributions of these different size intervals. We show that specific percentile diameters derived from the cumulative distributions of particle size are strongly correlated with the contributions of these three size classes, and that these non-parametric descriptors of the cumulative distribution provide superior performance for estimating their contributions while requiring no assumption of underlying PSD shape. A comparison of these predictive relationships with independent field measurements suggests that this approach is generally robust for particle assemblages representing a wide diversity of marine environments.
format Article in Journal/Newspaper
author Reynolds, Rick A
Stramski, Dariusz
author_facet Reynolds, Rick A
Stramski, Dariusz
author_sort Reynolds, Rick A
title Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach
title_short Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach
title_full Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach
title_fullStr Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach
title_full_unstemmed Variability in Oceanic Particle Size Distributions and Estimation of Size Class Contributions Using a Non‐parametric Approach
title_sort variability in oceanic particle size distributions and estimation of size class contributions using a non‐parametric approach
publisher eScholarship, University of California
publishDate 2021
url https://escholarship.org/uc/item/25w2h0fz
op_coverage e2021jc017946
genre Arctic
genre_facet Arctic
op_source Journal of Geophysical Research - Oceans, vol 126, iss 12
op_relation qt25w2h0fz
https://escholarship.org/uc/item/25w2h0fz
op_rights public
_version_ 1781695782989070336