Dataset & Code: Concentrating logging could mitigate climate-magnified fragmentation risks to a globally endangered bird

The following data and code are to replicate analyses for the Cerullo et al. 2026 manuscript entitled: 'Concentrating logging could mitigate climate-magnified fragmentation risks to a globally endangered bird'. Scripts necessary to replicate the analysis in R exploring how ocean conditions and edge amount influence marbled murrelet occupancy are in the folder entitled code.zip. This also contains a README file outlining what each script does. Updated scripts can be openly accessed at: https://github.com/gcerullo/MarbledEdges. Scripts should be run in consecutive order. After downloading the MarbledEdges.Rproj project, you will need to reproduce the following file structure for scripts to run smoothly, unzipping files into the correct folder: -MarbledEdges.Rproj -Scripts -Inputs -Outputs -Models -Rasters -Figures The following folders should be unzipped nand stored within the folder named Rasters: MAMU_SDMs.zip Marbled murrelet annual species distribution models .tif GNN_2021.zip Canopy cover and conifer cover covariates. Full annual datasets can be requested at https://lemma.forestry.oregonstate.edu/data/structure-maps .tif production_0.58.zip Spatial wood production scenarios that produce a given timber production target with a fixed amount of timber plantation. Scenarios vary in their degree of fragmentation per se. 0.58 represents a high production target. .tif production_0.24.zip As above, but producing half as much timber .tif land_ownership.zip Spatial distribution of different land ownership classes across the Pacific Northwest .shp ForestSiteProductivity.zip Spatially explicit information on potential timber yields across the Pacific Northwest. .tif DEMs.zip Elevation model for the Pacific Northwest .tif boundary.7z Boundary for the Pacific Northwest .tif The following files are stored in the folder entitled Inputs and are needed to build landscape scenarios and murrelet models. Scenarios contains yield information and functions needed to create the eqivalently yielding landscape scenarios .csv MurreletSurveys Information on repeat-sampled surveys for Marbled murrelets. .csv LandscapeVariables Landscape covariates calculated around murrlet sites .csv SiteData Full suite of landscape covariates, prior to subsetting .csv For queries regarding code or inputs, email grcerullo AT gmail DOT com.本数据集与代码用于复现Cerullo等人2026年发表的题为《集中采伐可缓解气候加剧的全球濒危鸟类碎片化风险》的手稿中的分析流程。 用于复现R语言中分析海洋条件与边缘面积如何影响斑海雀（marbled murrelet）栖息地占用率的必要脚本，均存放于code.zip压缩包内，该压缩包同时包含说明各脚本功能的README文件。更新后的脚本可通过公开链接获取：https://github.com/gcerullo/MarbledEdges。 脚本需按顺序依次运行。下载MarbledEdges.Rproj项目文件后，需搭建如下文件结构并将压缩包解压至对应文件夹，以确保脚本正常运行： - MarbledEdges.Rproj - Scripts - Inputs - Outputs - Models - Rasters - Figures 以下压缩包需解压后存放至Rasters文件夹内： MAMU_SDMs.zip：斑海雀年度物种分布模型，文件格式为TIFF（.tif）。 GNN_2021.zip：冠层覆盖度与针叶林覆盖度协变量，完整年度数据集可通过以下链接申请获取：https://lemma.forestry.oregonstate.edu/data/structure-maps，文件格式为TIFF。 production_0.58.zip：基于固定人工林面积达成指定木材生产目标的空间木材生产情景，该类情景的固有碎片化程度存在差异，其中0.58代表高生产目标，文件格式为TIFF。 production_0.24.zip：与上述情景逻辑一致，但木材产量仅为前者的一半，文件格式为TIFF。 land_ownership.zip：太平洋西北地区不同土地所有权类别的空间分布，文件格式为SHP。 ForestSiteProductivity.zip：太平洋西北地区潜在木材产量的空间显性信息，文件格式为TIFF。 DEMs.zip：太平洋西北地区的数字高程模型，文件格式为TIFF。 boundary.7z：太平洋西北地区研究边界，文件格式为TIFF。 以下文件存放于Inputs文件夹中，用于构建景观情景与斑海雀模型： Scenarios.csv：包含构建等产量景观情景所需的产量信息与相关函数，文件格式为CSV。 MurreletSurveys.csv：斑海雀重复调查的相关信息，文件格式为CSV。 LandscapeVariables.csv：基于斑海雀调查点计算得到的景观协变量，文件格式为CSV。 SiteData.csv：未经过子集筛选的全套景观协变量数据，文件格式为CSV。 若对代码或输入数据有疑问，请发送邮件至[e-mail]。