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Data frame of species with eBird Status and Trends Data Products

Source: R/data.R
ebirdst_runs.Rd

A dataset listing the species for which eBird Status and Trends Data Products are available, with additional information relevant to both the Status and Trends results for each species.

Usage

ebirdst_runs

Format

A data frame with 29 variables:

  • species_code: alphanumeric eBird species code uniquely identifying the species

  • scientific_name: scientific name.

  • common_name: English common name.

  • is_resident: classifies this species a resident or a migrant.

  • breeding_quality: breeding season quality.

  • breeding_start: breeding season start date.

  • breeding_end: breeding season start date.

  • nonbreeding_quality: non-breeding season quality.

  • nonbreeding_start: non-breeding season start date.

  • nonbreeding_end: non-breeding season start date.

  • postbreeding_migration_quality: post-breeding season quality.

  • postbreeding_migration_start: post-breeding season start date.

  • postbreeding_migration_end: post-breeding season start date.

  • prebreeding_migration_quality: pre-breeding season quality.

  • prebreeding_migration_start: pre-breeding season start date.

  • prebreeding_migration_end: pre-breeding season start date.

  • resident_quality: resident quality.

  • resident_start: for resident species, the year-round start date.

  • resident_end: for resident species, the year-round end date.

  • status_version_year: the release version of the Status data products.

  • has_trends: whether or not this species has trends estimates.

  • trends_season: season that the trend was estimated for: breeding, nonbreeding, or resident.

  • trends_region: the geographic region that the trend model was run for. Note that broadly distributed species (e.g. Barn Swallow) will only have trend estimates for a regional subset of their full range.

  • trends_start_year: start year of the trend time period.

  • trends_end_year: end year of the trend time period.

  • trends_start_date: start date (MM-DD format) of the season for which the trend was estimated.

  • trends_end_date: end date (MM-DD format) of the season for which the trend was estimated.

  • rsquared: R-squared value comparing the actual and estimated trends from the simulations.

  • beta0: the intercept of a linear model fitting actual vs. estimated trends (actual ~ estimated) for the simulations. Positive values of beta0 indicate that the models are systematically underestimating the simulated trend for this species.

  • trends_version_year: the release version of the Trends data products.

Details

For the Status Data Products, the dates defining the boundaries of the seasons are provided in additional to a quality rating from 0-3 for each season. These dates and quality ratings are assigned through a process of expert review. expert review. Note that missing dates imply that a season failed expert review for that species within that season.

Trends Data Products are only available for a subset of species, indicated by the has_trends variable, and for each species the trends is estimated for a single season. The two predictive performance metrics (rsquared and beta0) are based on a comparison of actual and estimated percent per year trends for a suite of simulations (see Fink et al. 2023 for further details). The trends regions are defined as follows:

  • aus_nz: Australia and New Zealand

  • iberia: Spain and Portugal

  • india_se_asia: India, Nepal, Bhutan, Sri Lanka, Thailand, Cambodia, Malaysia, Brunei, Singapore, and Philippines

  • japan: Japan

  • north_america: North America including Mexico, Central America, and the Caribbean, but excluding Nunavut, North West Territories, and Hawaii

  • south_africa: South Africa, Lesotho, and Eswatini

  • south_america: Colombia, Ecuador, Peru, Chile, Argentina, and Uruguay

  • taiwan: Taiwan

  • turkey_plus: Turkey, Cyprus, Israel, Palestine, Greece, Armenia, and Georgia