Long-term demographic data on the red-cockaded woodpecker

In cooperative breeding systems, inclusive fitness theory predicts that non-breeding helpers more closely related to the breeders should be more willing to provide costly alloparental care, and thus have more impact on breeder fitness. In the red-cockaded woodpecker (Dryobates borealis), most helpers are the breeders’ earlier offspring, but helpers do vary within groups in both relatedness to the breeders (some even being unrelated) and sex, and it can be difficult to parse their separate impacts on breeder fitness. Moreover, most support for inclusive fitness theory has been positive associations between relatedness and behavior, rather than actual fitness consequences. We used functional linear models to evaluate the per capita effects of helpers of different relatedness on eight breeder fitness components measured for up to 41 years at three sites. In support of inclusive fitness theory, helpers more related to the breeding pair made greater contributions to six fitness components. H..., We used long-term demographic monitoring data collected over 28 to 41 consecutive years at three sites: the Sandhills region in south-central North Carolina (1980–2020), Marine Corps Base Camp Lejeune on the central coast of North Carolina (1986–2020), and Eglin Air Force Base in the western panhandle of Florida (1993–2020). Monitoring methods are described in detail by Walters et al. (1988) (see also Appendix A for more details on monitoring). See Walters and Garcia (2016) for how individuals are assigned breeder and helper status., You will need both R and RStudio to use the dataset (and corresponding code). , *Manuscript citation*: Kerr, William, and Walters (2023) Inclusive fitness may explain some but not all benefits derived from social behavior in a cooperatively breeding bird. American Naturalist.

*Archive citation*: Kerr, Natalie; Morris, William; Walters, Jeffrey (Forthcoming 2023). Demographic data on the red-cockaded woodpecker [Dataset]. Dryad. https://doi.org/10.5061/dryad.3bk3j9kqs

*Affiliated authors:* Natalie Z. Kerr, William F. Morris, and Jeffrey R. Walters

*Corresponding author details:*

* Email: [e-mail],
* Location: Department of Biology, Duke University, Durham, NC 27705

To run the code file (\"Kerr-et-al\_FLMs.rmd\"), you will need to install R and RStudio, as well as install the packages (using install.packages()) listed below and at the beginning of the RMarkdown file.

*List of packages and their versions*

* mgcv (Version 1.8.42)
* bbmle (Version 1.0.25)

Note that we used these versions of these two packages for Kerr et al. 2023.

The RMarkdown file ...