DOI: 10.5061/dryad.5dv41nsc2
title: Data used in: Assessing the resilience and viability of communities in a changing environment

description: In order to assess community resilience, we propose to analyse how
 variation in overall abundance of individuals affect the number of
 species. We define community senstivity as the ratio between rate of
 change in log expected number of individuals in the community and the rate
 of change in the log expected number of species. Second, we define
 community resistance as the proportional reduction in expected number of
 individuals that the community can sustain before expecting to lose one
 species. To illustrate these concepts we use four datasets of bird
 communities in European deciduous forests. We estimated the total variance
 of the species abundance distribution in order to calculate the community
 sensitivity and resistance. We found large differences in species
 heterogeneity and species-specific response to environmental fluctuations,
 the two major components of the total variance. The datasets are collected
 from various previously published sources, see references below and in the
 paper. The code for importing and analysing the raw data as done in the
 paper can be found here: https://doi.org/10.5281/zenodo.8252471, but we
 also provide better-structured datasets for easier applications to others.
description: The data consists of population estimates based on nest search or
 mapping of territorial individuals within a specific area.
 For the locations we have: 
 
 Location Position
 Meters above sea level Study area
 (size) Time span 
 Ammarnäs 65°58'-65°59'N,
 15°58'-16°8E 540 - 720 m.a.s.l.
 0.420 km<sup>2</sup> 
 1964-1999 
 Budal 62°45'N, 10°30'E
 800 m.a.s.l. 0.3 km<sup>2</sup>
 1967-2018 
 Birdsong Valley 55°43'N,
 13°18'E   0.13
 km<sup>2</sup> 1953-1992
 Eastern Wood
 51°30'N, -0°38'E  
 0.16 km<sup>2</sup> 
 1950-1979 
  
description: # Data used in: Assessing the resilience and viability of communities in a
 changing environment
 [https://doi.org/10.5061/dryad.5dv41nsc2](https://doi.org/10.5061/dryad.5dv41nsc2) All population estimates are based on nest search or mapping of territorial individuals within a specific area. ## Description of data and file structure The data is structured into 'Raw' and 'Processed' data and R-code to process the data. The raw data is in different formats, some extracted from tables in puplications: * Ammarnäs: https://doi.org/10.34080/os.v14.20236 * Birdsong Valley: https://doi.org/10.34080/os.v4.23023 * Budal: https://doi.org/10.1111/j.1474-919X.2004.00338.x * Eastern Wood: https://doi.org/10.1002/9780470999592.app2 Some contains additional years of abundance. <br> The processed data contains four columns: * **location:** one of four locations: Ammarnäs, Budal, Birdsong Valley and Eastern Wood * **year:** of sensus * **species:** * **abundance:** The raw data contains four datasets: * bird\_ammarnas.csv: three columns: Year, Species, Abundance * bird\_sussex.txt: three columns: Species, Year, Abundance * Birdsong Valley.xlsx: two sheets: "Data": five columns (unnamed): Species, Year, Abundance, Location, Reference. "Info": location and description * Budalen\_pr\_2018\_revised.xlsx: * one sheet: "Data": data in wide format, Norwegian abbreviated names, but corresponding scientific names are found in the R-code "data\_from\_raw\_to\_processed.R". ## Code/Software The code for importing and analysing the raw data as done in the paper can be found here: [https://doi.org/10.5281/zenodo.8252471](https://doi.org/10.5281/zenodo.8252471). The code for processing the raw data to one single dataset can be found in the R-code "data\_from\_raw\_to\_processed.R".