Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Predation by pine martens (Martes martes) and red foxes (Vulpes vulpes) is an important factor influencing the population dynamics of capercaillie (Tetrao urogallus). However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence nest predation by pine martens and red foxes, we monitored capercaillie nests in Norway between 2009 and 2014 using camera traps. We classified the fate of 156 nests and employed a cause-specific hazard model to evaluate how different predators contributed to nest predation risk, while accounting for landscape covariates such as distance from nest to forest-clearcut edges, proximity to roads, and agricultural land density. We found that predation by pine martens and red foxes was the predominant hazard to capercaillie nests, with similar daily predation rates observed for both mesopredators. Nest predation by pine martens decreased ..., , # Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Dataset DOI: [10.5061/dryad.nk98sf86d](https://doi.org/10.5061/dryad.nk98sf86d)

## Description of the data and file structure

The methodology for data collection is available in the manuscript entitled \"Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox\"  (DOI: 10.1002/wlb3.01445). 

### Files and variables

#### File: Mod_d_y_FuncR_Ellis_03_archive.R

**Description:** Code for cause-specific hazard model 

#### File: PM_pred_mod_d_y_FuncR_Ellis_03_archive.R

**Description:** Code to run the model and parameters monitored

#### File: nestdata_days_250124.rds

**Description:** Nest fate data with associated landscape covariates data. Variables in this file:

* nestID: unique ID of nest
* days: day since first day of nesting season
* Year: year id, from year 1 to year 6 of study
* Road_2_m: Distance fr...,