DOI: 10.5061/dryad.pnvx0k709
title: Data and code from: How do synchrony in survival and productivity influence abundance synchrony in European landbirds?

description: Synchronous fluctuations in species’ abundance are influenced by synchrony
 in underlying rates of productivity and survival. However, it remains
 unclear how rate synchrony varies in space and time, contributes to
 abundance synchrony, and differs among species. Using long-term annual
 count (number of adults captured), adult survival and productivity (number
 of juveniles captured per adult) data for breeding land-birds at ringing
 sites across Europe, we show that synchrony is strongest and largest-scale
 in productivity, and weakest and smallest-scale in counts. However, counts
 fluctuate more synchronously with survival than they do with productivity.
 These patterns hold for species which do not migrate or only migrate
 within Europe (European-residents) and those migrating to sub-Saharan
 Africa (subSaharan-migrants), but the periodicity of productivity and
 survival synchrony is longer in European-residents than
 subSaharan-migrants. This suggests that survival and productivity
 synchrony may interact to weaken abundance fluctuations, but are
 influenced by environmental drivers operating over differing timescales in
 European-resident and subSaharan-migrantspecies.
description: Data were collated from 995 Euro-CES sites, spanning 12 countries
 across Europe, all of which use standardised mist-netting during the
 breeding season to measure the relative productivity and annual adult
 survival rates of passerine birds (Table S1). At each Euro-CES site,
 licensed ringers deploy a series of mist-nets in the same positions, for
 the same length of time, during morning and/or evening visits, typically
 between April-May and July-August (the season starts and ends later at
 higher latitudes). Data submitted as part of Euro-CES scheme follow local
 guidelines for ageing individuals, typically on the basis of plumage
 characteristics, according to strict and standardised protocols and
 undertaken by experienced, qualified ringers (Svensson, 2023). We only
 included years in which sites were (a) visited seven or more times in the
 season (including at least three visits in each of the first and second
 halves of the season), (b) had been running for five or more years and,
 only for estimates of productivity and apparent survival rates (hereafter
 survival) for each species, (c) on which two (the minimum needed to
 estimate these vital rates) or more adults had been captured in total,
 between 1998 and 2019. This therefore excludes sites which have either
 never caught an adult of that species or only caught one, as neither
 productivity nor survival rates could be estimated in these
 cases.
description: # Data and code from: How do synchrony in survival and productivity
 influence abundance synchrony in European landbirds?
 [https://doi.org/10.5061/dryad.pnvx0k709](https://doi.org/10.5061/dryad.pnvx0k709) ## Description of the data and file structure Data were collated from 995 Euro-CES sites, spanning 12 countries across Europe, all of which use standardised mist-netting during the breeding season to measure the relative productivity and annual adult survival rates of passerine birds. At each Euro-CES site, licensed ringers deploy a series of mist-nets in the same positions, for the same length of time, during morning and/or evening visits, typically between April-May and July-August (the season starts and ends later at higher latitudes). Data submitted as part of Euro-CES scheme follow local guidelines for ageing individuals, typically on the basis of plumage characteristics, according to strict and standardised protocols and undertaken by experienced, qualified ringers. ### Files and variables #### File: pairs\_productivity\_CES.csv **Description:** Pair-wise correlations between each site (grid cell).  ##### Variables * cors: pair-wise correlation coefficient. NAs are when there are too few sites to estimate the correlation.  * focal: focal site * sqq: other site * nyears: number of years site has been running for (years).  #### File: activeLU\_siteID.csv **Description:** a look up table which specifies if site is active or not in each year.  **File: correlogram_productivity_CES.csv** **Description:** Results of correlogram analysis for productivity.  ##### Variables * sqq: site/grid cell.  * intercept: strength of synchrony.  * interceptlo: strength of synchrony - lower CI.  * interceptup: strength of synchrony - upper CI.  * scale: scale of synchrony.  * scalelo: scale of synchrony - lower CI.  * scaleup: scale of synchrony - upper CI.  * scale_se: scale of synchrony - standard error.  * minmaxdistance: minimum distance (km). #### File: correlogram\_survival\_CES.csv **Description:** Results of correlogram analysis for survival.  ##### Variables * sqq: site/grid cell.  * intercept: strength of synchrony.  * interceptlo: strength of synchrony - lower CI.  * interceptup: strength of synchrony - upper CI.  * scale: scale of synchrony.  * scalelo: scale of synchrony - lower CI.  * scaleup: scale of synchrony - upper CI.  * scale_se: scale of synchrony - standard error.  * minmaxdistance: minimum distance (km). #### File: productivity\_data\_CES.csv **Description:** Productivity data.  ##### Variables * sqq: 100km grid square. * siteID: unique site id.  * year: year. * adults: number of adults.  * juveniles: number of juveniles.  * country: country.  #### File: count\_data\_CES.csv **Description:** Count data. ##### Variables * sqq: 100 km grid cell.  * siteID: unique site id. * year: year.  * adults: number of adults.  * species: species.  * country: country.  * year.f: year as a factor/categorical variable.  #### File: correlogram\_count\_CES.csv **Description:** Results of correlogram analysis for count data.  ##### Variables * sqq: site/grid cell.  * intercept: strength of synchrony.  * interceptlo: strength of synchrony - lower CI.  * interceptup: strength of synchrony - upper CI.  * scale: scale of synchrony.  * scalelo: scale of synchrony - lower CI.  * scaleup: scale of synchrony - upper CI.  * scale_se: scale of synchrony - standard error.  * minmaxdistance: minimum distance (km). #### File: detrended\_productivity\_CES.csv **Description:** Detrended annual productivity data.  ##### Variables * year.f: year as a factor/categorical variable.  * pred: annual estimates of productivity on logit scale (logit(number of juveniles per adult)).  * predtrans: annual estimates of productivity response scale (log(number juveniles per adult)).  * year: year. * year2: year scaled so the first year = 1.  * year.c: year centred.  * predlinear: predicted annual productivity from linear model (log(number of juveniles per adult)).   * residuals: residuals of linear model.  * sqq: 100km grid square.  #### File: sqq100centroids.csv **Description:** Spatial centroids of 100km grid cells.  ##### Variables * sqq: 100km grid cell.  * lat: latitude.  * long: longitude.  #### File: pairs\_count\_CES.csv **Description:** Pair-wise correlations between each site (grid cell). NAs are when there are too few sites to estimate the correlation.  ##### Variables * cors: pair-wise correlation coefficient.  * focal: focal site * sqq: other site * nyears: number of years site has been running for (years).  #### File: detrended\_count\_CES.csv **Description:** Detrended annual count data.  ##### Variables * year.f: year as a factor/categorical variable.  * pred: annual estimates of counts (number of individuals).   * year: year. * year2: year scaled so the first year = 1.  * year.c: year centred.  * predlinear: predicted annual counts from linear model (number of individuals).  * residuals: residuals of linear model.  * sqq: 100km grid square.  #### File: pairs\_survival\_CES.csv **Description:** Pair-wise correlations between each site (grid cell). NAs are when there are too few sites to estimate the correlation.  ##### Variables * cors: pair-wise correlation coefficient.  * focal: focal site * sqq: other site * nyears: number of years site has been running for (years).  #### File: detrended\_survival\_CES.csv **Description:** Annual detrended survival estimates.  ##### Variables * predicted: predicted annual estimate of survival.  * predictedCRlo: predicted annual estimate of survival - lower confidence interval.  * predictedCRup: predicted annual estimate of survival - upperconfidence interval.  * year: year * year2: year squared.  * year.c: year centred.  * year.c2: year centred squared.  * predlinear: predicted estimates of survival from linear model.  * residuals: residuals from linear model.  * sqq: 100km grid cell.  #### File: Capture\_history\_CES.csv **Description:**  ##### Variables * siteID: unique site id.  * ring: ring number  * X1998 - X2019 - capture history.  * Extra: additional column for transient analysis (within season capture). * recaught: weather or not an individual was recaptured in first year of capturing.  * firstcapture_visit: the visit on which an individual was first captured.  * last.year: * f: the visit on which an individual was first captured.  * nyears: number of years site/grid cell has been run.  * sqq: 100km grid cell.  ## Access information Other publicly accessible locations of the data: * [https://github.com/catmorrison/Synchrony/tree/main](https://github.com/catmorrison/Synchrony/tree/main)