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.
ebirdst_runsA 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.
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