Conversion factors for Greenland shelf benthos: Weight-to-weight and body size-to-weight relationships

RAW DATA FILE Filename: Weights and sizes of all benthic samples (raw data file)_V2.xlsxDescription: Raw data of macro- and megabenthic samples used in the analyses. The table includes 492 samples, listing for each the sample and station number, collection coordinates (latitude and longitude), taxonomic identification (Phylum, Class, Order, Family, Genus, Species), measured morphometrics (Carapax length, body diameter, disk diameter, outer diameter (across disk & arms), body length), body size (Size) [mm], wet mass (WM) [g], dry mass (DM) [g], and ash-free dry mass (AFDM) [g]. DATASET 1: Weight-to-Weight Conversion Factors Filename: Weight-to-Weight Conversion Factors Benthos_V2.xlsx Description: This dataset provides weight-to-weight slopes (conversion factors) between wet mass (WM) [g], dry mass (DM) [g], and ash-free dry mass (AFDM) [g] for 43 macro- and mega-benthic families. The dataset includes taxonomic information (Phylum, Family, Genus) for each benthic taxon. The slopes were derived by including the WM, DM, or AFDM of all samples collected per family. For each family, the column “N” indicates the total number of individuals used. The column “Confidence (C)” indicates the reliability of each slope using coloured circles: red = low, blue = high. Confidence is based on sample size (N), squared R values (R²) and p-value from linear regressions or Spearman correlations (low: N < 5, R² < 0.7, p-values > 0.05; high: N ≥ 5, R² > 0.7, p-values < 0.05). Each slope of a family includes R² and 95 % confidence intervals (CI). The column “p-value” indicates the p-value from linear regression for each family; when assumptions were violated, Spearman rank correlation p-values are reported (underlined) (significance: ***p < 0.001, **p < 0.01, *p < 0.05, ns – not significant). These data enable reliable conversion between different biomass measures and support ecological, biogeochemical, and biodiversity studies in benthic research. DATASET 2: Body size-to-weight Conversion factors Filename: Body size-to-weight Conversion factors Benthos_V2.xlsx Description: This dataset provides weight-to-body size slopes (conversion factors) between wet mass (WM) [g], dry mass (DM) [g], and ash-free dry mass (AFDM) [g] and body size morphometrics (Carapax length, body diameter, disk diameter, outer diameter (across disk & arms), body length) [mm] for 43 macro- and mega-benthic families. The dataset includes taxonomic information (Phylum, Family, Genus) for each benthic taxon. The slopes were derived by including the WM, DM, or AFDM and body size morphometrics of 490 collected samples (two outliers excluded). For each family, the column “N” indicates the total number of individuals used. The column “Confidence (C)” indicates the reliability of each slope using coloured circles: red = low, blue = high. Confidence is based on sample size (N), squared R values (R²) and p-value from linear regressions or Spearman correlations (low: N < 5, R² < 0.7, p-values > 0.05; high: N ≥ 5, R2 > 0.7, p-values < 0.05). Each slope of a family includes R² and 95 % confidence intervals (CI). The column “p-value” indicates the p-value from linear regression for each family; when assumptions were violated, Spearman rank correlation p-values are reported (underlined) (significance: ***p < 0.001, **p < 0.01, *p < 0.05, ns – not significant). These data enable reliable conversion between different biomass and body size measures and support ecological, biogeochemical, and biodiversity studies in benthic research. R-Scripts R-Script filename: Conversion factors between biomasses (weight-to-weight)_V2.RDescription & Methods: This script calculates mass-slopes (conversion factors) for 43 benthic invertebrate families by deriving regression slopes between the three mass types: wet mass (WM) to dry mass (DM), wet mass to ash-free dry mass (AFDM), and dry mass to ash-free dry mass. Analyses were performed in R (version 2024.04.0+735) using the functions lm() and coef() from the stats package (R Core Team, 2022). R-Script filename: Conversion factors between body-size and biomasses (body size-to-weight)_V2.R Description & Methods: This script calculates size-to-mass slopes (conversion factors) for 43 benthic invertebrate families by determining regression slopes between body size (Size) and three mass types: wet mass (WM), dry mass (DM), and ash-free dry mass (AFDM). Analyses were performed in R (version 2024.04.0+735) using the functions lm() and coef() from the stats package (R Core Team, 2022). R-Script filename: Shapiro Wilk and Breusch Pagan Test.R Description & Methods: With this script model residuals were used to assess whether data fitted the assumptions of the six linear regression models between wet mass (WM), dry mass (DM), ash-free dry mass (AFDM), and body size (Size) for each of the 43 sampled families. Normality of each variable was tested using the Shapiro–Wilk test (shapiro.test()) from the stats package. Homoscedasticity was tested using the Breusch-Pagan test (ncvTest()) with the car package. Analyses were performed in R (version 2024.04.0+735) (R Core Team, 2022). Variables failing the assumptions (Breusch-Pagan p < 0.05 or Shapiro–Wilk p < 0.05) were flagged as violating parametric assumptions, guiding the subsequent use of non-parametric analyses (Spearman rank correlations) in downstream analyses. R-Script filename: Spearman Ranks Correlation between body weight and body weight_V2.R Description & Methods: This script performs Spearman rank correlation tests to assess the relationships between wet mass (WM), dry mass (DM), and ash-free dry mass (AFDM) of the 43 benthic families. Analyses were performed in R (version 2024.04.0+735) using the function core.test() and the method spearman from the stats package (R Core Team, 2022). R-Script filename: Spearman Ranks Correlation between biomass (body weight) and body size_V2.R Description & Methods: This script performs Spearman rank correlation tests to assess the relationships between body size (Size) and three mass types: wet mass (WM), dry mass (DM), and ash-free dry mass (AFDM) of the 43 benthic families. Analyses were performed in R (version 2024.04.0+735) using the function core.test() and the method spearman from the stats package (R Core Team, 2022).原始数据文件 文件名：所有底栖生物样本的重量与尺寸（原始数据文件）_V2.xlsx 描述：本数据集为分析中使用的大型底栖生物与巨型底栖生物样本的原始数据。表格共包含492份样本，每份样本记录了样本与站位编号、采集坐标（纬度与经度）、分类学鉴定信息（门、纲、目、科、属、种）、测量的形态计量学指标（甲壳长度、体直径、盘直径、外径（盘与腕跨度）、体长度）、体尺寸（Size）[单位：毫米]、鲜重（wet mass, WM）[单位：克]、干重（dry mass, DM）[单位：克]以及无灰干重（ash-free dry mass, AFDM）[单位：克]。 数据集1：重量-重量转换因子 文件名：底栖生物重量-重量转换因子_V2.xlsx 描述：本数据集提供了43个大型与巨型底栖生物科的鲜重（wet mass, WM）[克]、干重（dry mass, DM）[克]与无灰干重（ash-free dry mass, AFDM）[克]之间的重量-重量斜率（转换因子）。数据集包含每个底栖类群的分类学信息（门、科、属）。斜率通过纳入每个科采集的所有样本的WM、DM或AFDM计算得到。对于每个科，“N”列代表所用个体的总数量。“置信度（C）”列通过彩色圆圈标注各斜率的可靠性：红色代表低置信度，蓝色代表高置信度。置信度基于样本量（N）、决定系数（R²）以及线性回归或斯皮尔曼相关的p值确定（低置信度标准：N < 5，R² < 0.7，p值 > 0.05；高置信度标准：N ≥ 5，R² > 0.7，p值 < 0.05）。每个科的斜率均附带R²与95%置信区间（CI）。“p值”列代表每个科线性回归得到的p值；当模型假设被违背时，将报告斯皮尔曼等级相关的p值（下划线标注）（显著性标注：*** p < 0.001，** p < 0.01，* p < 0.05，ns – 无显著性）。此类数据可实现不同生物量度量间的可靠转换，可为底栖生物研究中的生态学、生物地球化学与生物多样性研究提供支持。 数据集2：体尺寸-重量转换因子 文件名：底栖生物体尺寸-重量转换因子_V2.xlsx 描述：本数据集提供了43个大型与巨型底栖生物科的鲜重（wet mass, WM）[克]、干重（dry mass, DM）[克]与无灰干重（ash-free dry mass, AFDM）[克]，以及体尺寸形态计量学指标（甲壳长度、体直径、盘直径、外径（盘与腕跨度）、体长度）[毫米]之间的体尺寸-重量斜率（转换因子）。数据集包含每个底栖类群的分类学信息（门、科、属）。斜率通过纳入490份采集样本（已剔除2个异常值）的WM、DM或AFDM以及体尺寸形态计量学指标计算得到。对于每个科，“N”列代表所用个体的总数量。“置信度（C）”列通过彩色圆圈标注各斜率的可靠性：红色代表低置信度，蓝色代表高置信度。置信度基于样本量（N）、决定系数（R²）以及线性回归或斯皮尔曼相关的p值确定（低置信度标准：N < 5，R² < 0.7，p值 > 0.05；高置信度标准：N ≥ 5，R² > 0.7，p值 < 0.05）。每个科的斜率均附带R²与95%置信区间（CI）。“p值”列代表每个科线性回归得到的p值；当模型假设被违背时，将报告斯皮尔曼等级相关的p值（下划线标注）（显著性标注：*** p < 0.001，** p < 0.01，* p < 0.05，ns – 无显著性）。此类数据可实现不同生物量与体尺寸度量间的可靠转换，可为底栖生物研究中的生态学、生物地球化学与生物多样性研究提供支持。 R脚本 R脚本文件名：生物量间转换因子（重量-重量）_V2.R 描述与方法：本脚本通过推导三种质量类型间的回归斜率，为43个底栖无脊椎动物科计算质量斜率（转换因子）：鲜重（WM）与干重（DM）、鲜重与无灰干重（AFDM）、干重与无灰干重。分析在R（版本2024.04.0+735）中完成，使用了stats包（R核心团队，2022）中的lm()与coef()函数。 R脚本文件名：体尺寸与生物量间转换因子（体尺寸-重量）_V2.R 描述与方法：本脚本通过确定体尺寸（Size）与三种质量类型（鲜重WM、干重DM、无灰干重AFDM）间的回归斜率，为43个底栖无脊椎动物科计算体尺寸-质量斜率（转换因子）。分析在R（版本2024.04.0+735）中完成，使用了stats包（R核心团队，2022）中的lm()与coef()函数。 R脚本文件名：夏皮罗-威尔克与布罗施-帕甘检验.R 描述与方法：本脚本利用模型残差，评估43个采样科的鲜重（WM）、干重（DM）、无灰干重（AFDM）与体尺寸（Size）间的六种线性回归模型是否符合假设。使用stats包中的shapiro.test()函数检验各变量的正态性；使用car包中的ncvTest()函数检验同方差性。分析在R（版本2024.04.0+735）中完成（R核心团队，2022）。未通过假设检验（布罗施-帕甘p < 0.05或夏皮罗-威尔克p < 0.05）的变量将被标记为违背参数假设，以指导后续非参数分析（斯皮尔曼等级相关）的使用。 R脚本文件名：体重与体重间的斯皮尔曼等级相关_V2.R 描述与方法：本脚本执行斯皮尔曼等级相关检验，以评估43个底栖生物科的鲜重（WM）、干重（DM）与无灰干重（AFDM）间的关系。分析在R（版本2024.04.0+735）中完成，使用了stats包中的core.test()函数与spearman方法（R核心团队，2022）。 R脚本文件名：生物量（体重）与体尺寸间的斯皮尔曼等级相关_V2.R 描述与方法：本脚本执行斯皮尔曼等级相关检验，以评估43个底栖生物科的体尺寸（Size）与三种质量类型（鲜重WM、干重DM、无灰干重AFDM）间的关系。分析在R（版本2024.04.0+735）中完成，使用了stats包中的core.test()函数与spearman方法（R核心团队，2022）。