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Data from: Accounting for heterogeneity when estimating stopover duration, timing and population size of red knots along the Luannan Coast of Bohai Bay, China

  • Tamar Lok (Contributor)
  • Chris J. Hassell (Contributor)
  • Theunis Piersma (Contributor)
  • Roger Pradel (Contributor)
  • Olivier Gimenez (Contributor)

Dataset

Description

1. To successfully perform their long-distance migrations, migratory birds require sites along their migratory routes to rest and refuel. Monitoring the use of so-called stopover and staging sites provides insights into (1) the timing of migration and (2) the importance of a site for migratory bird populations. A recently developed Bayesian superpopulation model that integrates mark-recapture data and ring density data enabled the estimation of stopover timing, duration and population size. Yet, this model did not account for heterogeneity in encounter (p) and staying (ϕ) probabilities. 2. Here we extended the integrated superpopulation model by implementing finite mixtures to account for heterogeneity in p and ϕ. We used simulations and real data on red knots Calidris canutus staging in Bohai Bay, China, during spring migration to (1) show the importance of accounting for heterogeneity in encounter and staying probabilities to get unbiased estimates of stopover timing, duration and numbers of migratory birds at staging sites and (2) get accurate stopover parameter estimates for a migratory bird species at a key staging site that is threatened by habitat destruction. 3. Our simulations confirmed that heterogeneity in p affected stopover parameter estimates more than heterogeneity in ϕ. Bias was particularly severe when most birds had both low ϕ and p. Bias was largest for population size, intermediate for stopover duration and negligible for stopover timing. 4. 50,000-100,000 red knots were estimated to annually stop for 5-9 days in Bohai Bay between 10 and 30 May. This shows the key importance of this staging site for this declining species. There were no clear changes in stopover parameters over time. 5. Our study shows the importance of accounting for heterogeneity in both encounter and staying probabilities for accurately estimating stopover duration and population size and provides an appropriate modelling framework.,Individual_encounter_historiesDaily field observations of colour-marked red knots (marked in Northwest Australia) along the Luannan Coast of Bohai Bay, China during spring migration between 2009 and 2016, in matrix format. Column names represent day of the year, ranging from 130 (10 May) until 150 (30 May) and row names represent the year of observation. Each row represents the daily encounter history of one individual in a particular year, where a "0" implies that the individual was not observed during that particular day, and a "1" implies that the individual was observed at least once.Ring density dataData file of ring density scans of marked and unmarked red knots, with the columns "Year", "Yearday" (from 130 (10 May) to 150 (30 May)), "K" (total number of birds checked for marks during a scan) and "m" (the number of marked birds in the scan). Scans have been performed with replacement.Ring_density_data.txt,
Datum van beschikbaarheid20-jun.-2019
UitgeverUniversity of Groningen
Geografische dekkingChina

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