Data and code from: Spatial heterogeneity in density dependence across life-history stages drives the dynamics of a bird metapopulation

Density-dependent effects on individual vital rates play a critical role in determining a population's equilibrium size and rate of return following stochastic disturbances. In fragmented landscapes, spatial variation in density dependence across life-history stages causes heterogeneity in limitations of population growth, which influences extinction-persistence dynamics. As habitat loss leads to increased landscape fragmentation, understanding the factors driving variation in the strength of density dependence across life-history stages is necessary to assess population viability and guide conservation strategies. We quantified spatial variation in the strength of density dependence across life-history stages in a house sparrow metapopulation encompassing 11 islands in northern Norway, collected from 1994 to 2022. Our findings reveal that increased density negatively affects the demographic contributions of individuals to population growth. We found a pronounced negative effect of dens..., , # Data and code from: Spatial heterogeneity in density dependence across life-history stages drives the dynamics of a bird metapopulation

Dataset DOI: [10.5061/dryad.rr4xgxdnq](https://doi.org/10.5061/dryad.rr4xgxdnq)

## Description of the data and file structure

This field data was collected from a metapopulation of house sparrows (*Passer domesticus*) inhabiting 11 islands off the Helgeland coast in northern Norway. The presence-absence data, paired with a genomic pedigree, were used to estimate survival and reproduction using generalised linear mixed models in a capture-mark-recapture framework.

### Files and variables

#### File: presence_data_1994_2022_ECY25-1341.txt

**Description:** 

##### Variables

* Year: year of observation
* date: date of observation
* scriptsex: the sex of an individual. For juveniles, this may have been inferred from subsequent recapture in the adult stage. NA is \"not available\". NA cells are filled with values from the dataset sex_genetically_correct...,