Direct effects and prey-mediated effects of global change in projections of early life stages of pelagic predators

Global change will impact the distribution and abundance of predators through a combination of abiotic variables, such as temperature, and biotic variables, such as prey availability. However, there is a poor understanding of how distribution projections with biotic variables differ from those with abiotic variables, particularly in resource limited and marine systems. We address this knowledge gap using the planktonic larvae of iconic and economically important pelagic fish predators. We leverage a multidecadal, long-term sampling program from the western Atlantic Ocean to assess the efficacy of using zooplankton prey (copepods, larvaceans and cladocerans) and climate variables to predict the distribution of larvae of seven pelagic fish species, including tunas, billfishes and mahi-mahi. These data (2 excel files, plus an additional excel file), as well as earth system model data (4 netcdf files) that inform projections are included here. We also include 5 R scripts that proc..., , # Direct effects and prey-mediated effects of global change in projections of early life stages of pelagic predators This repository contains model inputs and model processing (R) files. Specifically, the repo contains: 1. Five R scripts for model processing (eg model creation, model selection, creating model output and creating figures). 2. Three excel files that also serve as input for R files (biotic variables, additional abiotic variables, and figure input). 3. Four (for each abiotic variable) netcdf files of earth system model (ESM) output (surface temperature, bottom temperature, surface salinity and surface chlorophyll) that serve as input for R files. -Netcdf files can be viewed in R via the ncdf4 package (other options include the netCDF4 library in Python). We also suggest Panoply as an open software that does not require programmatic skills. --- #### Description of five R scripts (run R scripts in numerical order) ### `(01)_ESM_Projections_and_Maps.R` * **Descripti...,全球变化将通过温度等非生物变量与猎物可获得性等生物变量的共同作用，影响捕食者的分布与种群丰度。然而，学界目前对纳入生物变量的分布预测与仅纳入非生物变量的分布预测之间的差异仍知之甚少，在资源受限的海洋生态系统中这一问题尤为突出。本研究以兼具标志性与经济价值的远洋鱼类捕食者的浮游幼体为研究对象，旨在填补这一认知空白。我们依托西大西洋数十年的长期采样计划，评估利用浮游动物猎物（桡足类copepods、幼形类larvaceans和枝角类cladocerans）与气候变量预测7种远洋鱼类（包括金枪鱼、旗鱼和棘鲯鳅mahi-mahi）幼体分布的有效性。本数据集包含2份Excel文件（外加1份额外Excel文件），以及用于构建预测模型的地球系统模式（ESM）数据（4个netCDF文件），同时还包含5份用于数据处理的R脚本（原文此处内容截断为proc...）。# 全球变化对远洋捕食者早期生活史阶段的直接影响与猎物介导影响 本数据仓库包含模型输入文件与模型处理（R语言）文件，具体如下： 1. 5份用于模型处理的R脚本，涵盖模型构建、模型选择、模型输出生成与图表绘制等流程。 2. 3份Excel文件，作为R脚本的输入数据，分别对应生物变量、额外非生物变量与图表输入数据。 3. 4份地球系统模式（ESM）输出的netCDF文件（对应每个非生物变量），分别为表层温度、底层温度、表层盐度与表层叶绿素浓度，作为R脚本的输入数据。 - netCDF文件可通过R语言的ncdf4包进行查看（其他可选方案包括Python的netCDF4库）。我们还推荐使用Panoply这一款无需编程技能的开源软件进行查看。 --- #### 5份R脚本的说明（请按数字顺序运行脚本） ### `(01)_ESM_Projections_and_Maps.R` * **脚本说明（内容被截断）：**