Replication Data for: Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea (doi:10.18710/OGOAWN)

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Document Description

Citation

Title:

Replication Data for: Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea

Identification Number:

doi:10.18710/OGOAWN

Distributor:

DataverseNO

Date of Distribution:

2021-01-08

Version:

1

Bibliographic Citation:

Zhulay, Irina, 2021, "Replication Data for: Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea", https://doi.org/10.18710/OGOAWN, DataverseNO, V1

Study Description

Citation

Title:

Replication Data for: Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea

Identification Number:

doi:10.18710/OGOAWN

Authoring Entity:

Zhulay, Irina (UiT The Arctic University of Norway)

Other identifications and acknowledgements:

Bluhm, Bodil A.

Other identifications and acknowledgements:

Iken, Katrin

Other identifications and acknowledgements:

Renaud, Paul E.

Other identifications and acknowledgements:

Degen, Renate

Producer:

UiT The Arctic University of Norway

Grant Number:

NA15OAR0110207

Distributor:

DataverseNO

Distributor:

UiT The Arctic University of Norway

Access Authority:

Zhulay, Irina

Access Authority:

Bluhm, Bodil

Depositor:

Zhulay, Irina

Date of Deposit:

2020-12-09

Holdings Information:

https://doi.org/10.18710/OGOAWN

Study Scope

Keywords:

Earth and Environmental Sciences, Arctic deep sea, Biological Trait Analysis, benthic epifauna, functional composition, ROV and trawl

Abstract:

This dataset contains “traits by taxon”, “taxa by stations”, and “traits by stations” matrices for 106 benthic epifaunal taxa collected with a beam trawl and a Remotely Operated Vehicle (ROV) in the Chukchi Borderland (CBL), north of Alaska (74 - 78°N, 158 - 165°W) on-board USCGC Healy in July–August 2016 from 486 – 2610 m depth. The data were used to evaluate ecosystem functioning of the deep-sea Arctic CBL with the Biological Trait Analysis. Table S1 contains literature sources used for coding trait modalities. Table S2 contains the “traits by taxon” matrix for epifaunal taxa collected with both the ROV and the beam trawl across the study area. Nine traits with a total of 39 modalities, reflecting morphology (adult size, body form), behavior (living habitat, mobility, adult movement, feeding habit, substrate affinity), and life-cycle characteristics (larval development and reproduction) of the epifauna are included in this matrix. Every trait is coded for every taxon with a ‘fuzzy coding’ procedure (Chevenet et al., 1994). Tables S3, S4, and S5 are “taxa by stations” matrices, containing the following information: presence and absence of epifauna at each station sampled with both the ROV and the beam trawl (Table S3), proportional abundance of epifauna collected with the ROV (Table S4) and proportional abundance of epifauna collected with the beam trawl (Table S5) at each station. These tables (S3, S4, and S5) along with Table S2 were used to generate “traits by stations” matrices (i.e., Tables S6, S7, and S8) through multiplying corresponding matrices. Tables S6, S7, and S8 are “traits by stations” matrices containing weighted scores of traits based on presence and absence of epifauna sampled with the ROV and the beam trawl (Table S6), proportional abundance of epifauna sampled with the ROV (Table S7), and proportional abundance of epifauna sampled with the beam trawl (Table S8). Table S6 was used to identify dominant trait modalities represented in the epifauna of the study area. Tables S7 and S8 were used to identify: 1) variability in functional structure of epifauna between mid-depth and deeper stations with a fuzzy correspondence analysis and a non-parametric Kruskal-Wallis test, and 2) environmental factors influencing the functional structure of epifaunal communities in the study area by a canonical correspondence analysis. Tables S4 and S5 were used to calculate Simpson index (D). Tables S3, S4, and S5 along with the Table S2 were used to calculate Functional diversity (Rao's quadratic entropy, FD) and Functional Redundancy (1 – (FD/D)) indices to also check for functional difference between mid-depth and deep stations with a Kruskal-Wallis test.

Date of Collection:

2016-07-02-2019-09-15

Geographic Coverage:

Chukchi Borderland

Geographic Bounding Box:

  • West Bounding Longitude: 158
  • East Bounding Longitude: 158
  • South Bounding Latitude: 74
  • North Bounding Latitude: 74

Kind of Data:

Observational data

Methodology and Processing

Sources Statement

Data Sources:

Data collected from various sources: filed, image analysis, literature and web sources.

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Zhulay, I., Bluhm, B. A., Renaud, P. E., Degen, R., & Iken, K. (2021). Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea. Frontiers in Marine Science, 8. https://www.frontiersin.org/articles/10.3389/fmars.2021.609956

Identification Number:

10.3389/fmars.2021.609956

Bibliographic Citation:

Zhulay, I., Bluhm, B. A., Renaud, P. E., Degen, R., & Iken, K. (2021). Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea. Frontiers in Marine Science, 8. https://www.frontiersin.org/articles/10.3389/fmars.2021.609956

Other Study-Related Materials

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00_README_CBL_BTA.txt

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Table_S1.txt

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Table_S2.txt

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Table_S3.txt

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Table_S4.txt

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Table_S5.txt

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Table_S6.txt

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Table_S7.txt

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Table_S8.txt

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Other Study-Related Materials

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Zhulay et al._accepted Manuscript_DSRI.pdf

Notes:

application/pdf