Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes

The R code and data to support the manuscript \"Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes\" published by Dunmall & Langan et al. 2024 in Global Change Biology. Briefly, this study investigated the mechanisms behind variable, rising catches of Pacific salmon by subsistence fishers in the Canadian Arctic. Detailed descritptions of the data and the performed analyses are provided in the associated manuscript., Salmon catch data (2000-2022) were collected during regular fishing activities by subsistence fishers participating in the Arctic Salmon program (https://www.arcticsalmon.ca/home) and summarized to annual counts. These salmon counts were then compared to sea surface temperature (SST) and sea ice data derived from the NOAA OI SST V2 High Resolution Dataset (https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html). Specifically, environmental data, cropped to ocean areas using a provided shapefile, were analyzed in a polygon in the Chukchi Sea (vertices: [68.3°N, 170.0°W], [68.3°N, 166.4°W], [69.5°N, 166.4°W], [69.5°N, 170.0°W]) and a polygon in the Beaufort Sea (vertices: [70.5°N, 153.0°W], [69.8°N, 143.0°W], [71.3°N, 143.0°W], [72.0°N, 153.0°W]). For the Chukchi Sea polygon, the mean June SST and last day of the spring-summer period with a mean ice concentration of at least 0.5 were calculated. For the Beaufort Sea polygon, the number of days with a mean SST above 2°C and the ..., , # Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes [https://doi.org/10.5061/dryad.d51c5b0bh](https://doi.org/10.5061/dryad.d51c5b0bh) The annual salmon subsistence catch data and the R code describing the analyses performed for the manuscript \"Pacific salmon in the Canadian Arctic highlight a range-expansion pathway for sub-Arctic fishes\" published by Dunmall and Langan et al. 2024 in Global Change Biology. ## Description of the data and file structure The zip file contains the R script to perform all of the analyses described in the manuscript and produce the main text figures, with the exception of the conceptual diagram included as Figure 2. Also included are the data files needed for the analyses and shapefiles used for generating covariates and making figures. Only the shape files we made through modification of existing data files are provided, with the source of the original file provided in the R script. Unmodified shape files ...本数据集包含支撑Dunmall与Langan等人2024年发表于《Global Change Biology》期刊的论文《加拿大北极地区的太平洋鲑鱼揭示了亚北极鱼类的种群扩张路径》的R代码与相关数据。 本研究聚焦加拿大北极地区生计渔民所捕获的太平洋鲑鱼产量波动上升背后的驱动机制，相关数据与分析细节已在配套论文中详细阐述。 2000-2022年的鲑鱼捕获数据由参与北极鲑鱼项目（官网：https://www.arcticsalmon.ca/home）的生计渔民在常规捕捞活动中收集，并汇总为年度捕获总量。随后将这些年度鲑鱼捕获量与源自NOAA OI SST V2高分辨率数据集（官网：https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html）的海表温度（sea surface temperature, SST）与海冰数据开展对比分析。 具体而言，研究人员利用提供的shapefile（形状文件）将环境数据裁剪至海洋区域，分别对楚科奇海的多边形区域（顶点坐标：[68.3°N, 170.0°W]、[68.3°N, 166.4°W]、[69.5°N, 166.4°W]、[69.5°N, 170.0°W]）以及波弗特海的多边形区域（顶点坐标：[70.5°N, 153.0°W]、[69.8°N, 143.0°W]、[71.3°N, 143.0°W]、[72.0°N, 153.0°W]）进行分析。其中，针对楚科奇海多边形区域，研究人员计算了6月平均海表温度以及春夏季时段内平均海冰浓度不低于0.5的最后一天；针对波弗特海多边形区域，则计算了平均海表温度高于2℃的天数以及…… --- 本数据集的年度生计渔业鲑鱼捕获数据与R代码，配套支持Dunmall与Langan等人2024年发表于《Global Change Biology》期刊的论文《加拿大北极地区的太平洋鲑鱼揭示了亚北极鱼类的种群扩张路径》。 ## 数据与文件结构说明 本压缩包包含用于复现论文中所有分析流程并生成正文配图的R脚本（论文图2的概念示意图除外），同时包含分析所需的数据文件以及用于生成协变量与绘图的shapefile（形状文件）。本次仅提供基于现有公开数据修改得到的shapefile，原始文件的来源信息已在R脚本中注明。未修改的shapefile…… 数据集DOI：https://doi.org/10.5061/dryad.d51c5b0bh