Data and R-scripts from: Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions
Data files
Abstract
Here, we provide the data and R-scripts used in:
- Bård-Jørgen Bårdsen and Jan Ove Bustnes (2022). Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions. Journal of Avian Biology. https://doi.org/10.1111/jav.02953.
- Bård-Jørgen Bårdsen and Jan Ove Bustnes (2023). Correction to Multiple stressors: negative effects of nest predation on the viability of a threatened gull in different environmental conditions. Journal of Avian Biology. https://doi.org/10.1111/jav.12915.
This study assessed the viability of a population of the lesser black-backed gull (Larus fuscus fuscus) using data collected from 2005-2020 from a nature reserve in Northern Norway. The study merged results from statistical analyses of empirical data with a Leslie model. Here, we provide the underlying data and the R-scripts used to analyse the data and run the model. The data set includes information about reproduction at several stages (laying, hatching and fledgling), nest predation, and individual capture histories (used to estimate apparent survival; see Bårdsen and Bustnes 2022).
We discovered a misspecification error in the matrix model in Bårdsen and Bustnes (2022). This error did not change the overall conclusions or the results in the original article's empirical analyses. Here, we present an updated version of our scripts, i.e., scripts used by Bårdsen and Bustnes (2023). In the correction, we also highlight which part of the original article was affected by this mistake.
https://doi.org/10.5061/dryad.d7wm37q19
We provide a ‘README.txt’ in the zipped files explaining the R-scripts and the data. In addition, all the provided Excel files have a sheet with Metadata explaining the variables.
Nov 2024: Here, we present an updated version of the scripts used in Bårdsen and Bustnes (2022). Our updated scripts did not affect the statistical analyses of the empirical data; see Bårdsen and Bustnes (2023) for a detailed description of how the revised version diverges from the original article.
Bårdsen and Bustnes (2022), including the online Supplementary Material (Appendix S1-2), provide a detailed description of the study area and the empirical data. In the downloadable software ('ToBePublished.zip'), we provide data, metadata, and R-scripts for the statistical analyses and the models. Please confer with the 'README.txt' in 'ToBePublished.zip' for more information. We also include the data (without the scripts) from our study area as a downloadable dataset ('Data.zip'; see the included 'README.txt' for details).
Data
Our study area, located within the Horsvær Nature Reserve in Northern Norway (65°19′N 11°38′E), is one of several key sites within the Norwegian seabird monitoring program (SEAPOP). We view the uploaded data as a means to verify the results presented in our article (Bårdsen and Bustnes 2022). The data available here terminated in 2019 (reproduction and nest predation) and 2020 (apparent survival). All the data is available in 'ToBePublished.zip' (downloadable software). Still, we upload the data from our study area as a separate file ('Data.zip') for those interested in the data without the scripts. You may contact Jan Ove Bustnes (jan.bustnes@nina.no), responsible for the Horsvær key site if you have any inquiries regarding the data from our study area. If you choose to use the uploaded data, we would appreciate the following:
- Please acknowledge the persons who contributed to the data collection: Harald Bustnes, Sigfred Jørgensen and Runar Omnø for logistical support; Trond Vidar Johnsen, Morten Helberg, Klaus Maløya Torland, Nils Helge Lorentzen, Kjetil Olsen, Geir Arne Bustnes and Jorg Welcker for field assistance.
- Please cite Bårdsen and Bustnes (2022 & 2023) as the data source.
- Please confer with 'README.txt' in the .zip-files for details (metadata). Moreover, we present further information in the article and its online Supplementary Material (Appendix S1-2).
- The literature review depends on data collected by others. No one should use these data without referring to the original studies: please confer with the online Supplementary Material (Appendix S5) for details about this data and its primary sources.
R-scripts
The downloadable software ('ToBePublished.zip') contains the results of the analyses as they emerged in our runs. However, the results may depend on the software version (including the R-packages). Therefore, we have included an overview of the software versions used in 'README.txt' (in 'ToBePublished.zip'). Each R-script saves results in a separate folder (given a name similar to the R-script). This includes session info, such as the version of R and the packages, stored as a text file ('SessionInfo.txt'). The output of the models, which we based on simulations, will differ from run to run (e.g., the assessment of quasi-extinction). Even though the results should not qualitatively differ from ours, the exact numbers may diverge from what we have presented in the published article. Please contact Bård-Jørgen Bårdsen (bjb@nina.no) for questions or if you experience any trouble running the scripts.