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

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.

本数据集收录了在阿拉斯加北部楚科奇边境（CBL，北纬74-78°，西经158-165°）的USCGC Healy舰上，于2016年7月至8月期间，使用拖网和遥控潜水器（ROV）采集的106种底栖附着生物类群的特征矩阵、站点矩阵以及特征矩阵。数据集涵盖了“按类群特征”、“按站点类群”以及“按站点特征”的矩阵，并用于评估深海北极楚科奇边境的生态系统功能。表S1列出了用于编码特征模态的文献来源。表S2包含了使用ROV和拖网在研究区域内采集的附着生物类群的“按类群特征”矩阵。该矩阵包含了9个特征，共计39个模态，反映了附着生物的形态（成体大小、体型）、行为（生活习性、移动性、成体运动、摄食习性、底质亲和力）以及生命周期特征（幼虫发育和繁殖）。每个特征均通过‘模糊编码’程序（Chevenet et al., 1994）对每个类群进行编码。表S3、S4和S5是“按站点类群”矩阵，包含以下信息：在每个站点上，使用ROV和拖网采集的附着生物的存在与缺失（表S3），使用ROV采集的附着生物的相对丰度（表S4）和使用拖网采集的附着生物的相对丰度（表S5）。这些表格（S3、S4和S5）连同表S2一起，通过矩阵相乘生成了“按站点特征”矩阵（即表S6、S7和S8）。表S6、S7和S8是“按站点特征”矩阵，包含了基于使用ROV和拖网采集的附着生物存在与缺失的特征加权得分。表S6被用于识别研究区域内附着生物中占主导地位的特征模态。表S7和S8被用于：1）通过模糊对应分析和非参数Kruskal-Wallis检验，识别中深度和深水站点的附着生物功能结构的变异；2）通过典范对应分析，识别影响研究区域内附着生物群落功能结构的环境因素。表S4和S5被用于计算辛普森指数（D）。表S3、S4和S5连同表S2一起，被用于计算功能多样性（Rao的二次熵，FD）和功能冗余（1 – (FD/D)）指数，以检查中深度和深水站点的功能差异。