Code and data for estimating fishing effort from spatially extensive data across a lake-rich landscape

This repository contains code and data used to answer the following questions: 1. When fit to spatially extensive data, can models detect annual, seasonal, and daily changes in fishing effort? 2. How do fishing effort estimates derived from extensive observations compare to those derived from intensive observation? 3. How well can models fit to extensive data predict total fishing effort on unobserved lakes? 4. How can these model-based methods be applied to predict fishing effort across a fisheries landscape? All subfolders of code and data can be found in "code data output subfolders.zip" v.3 update: This code pulls from the 'csvs' folder as well as from the 10/13/2020 version (v.3) of the MFE database found and downloaded here: https://caryinstitute.figshare.com/articles/MFE_database_Data_from_ecosystem_ecology_research_by_Jones_Solomon_and_collaborators_on_the_ecology_and_biogeochemistry_of_lakes_and_lake_organisms_in_the_Upper_Midwest_USA/7438598 See the "ReadMe.txt" file for code order and metadata.

本仓库包含用于解答下述问题的代码与数据集：1. 当模型适配空间覆盖范围广泛的数据时，能否检测到捕捞努力量（fishing effort）的年度、季节及日度变化？2. 基于大范围观测得到的捕捞努力量估算结果，与基于高密度观测得到的估算结果相比存在何种差异？3. 适配大范围数据的模型，对未观测湖泊的总捕捞努力量的预测性能如何？4. 如何将这些基于模型的方法应用于整个渔业景观的捕捞努力量预测？所有代码与数据集子文件夹均可在"code data output subfolders.zip"v.3更新版中获取：本次更新的代码将调用'csvs'文件夹内的数据，以及2020年10月13日发布的MFE数据库（MFE Database）v.3版，该数据库可通过以下链接获取并下载：https://caryinstitute.figshare.com/articles/MFE_database_Data_from_ecosystem_ecology_research_by_Jones_Solomon_and_collaborators_on_the_ecology_and_biogeochemistry_of_lakes_and_lake_organisms_in_the_Upper_Midwest_USA/7438598 请参阅"ReadMe.txt"文件了解代码运行顺序与元数据信息。