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.