ebirdst_runs {ebirdst} | R Documentation |
Data frame of species with eBird Status and Trends Data Products
Description
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 ofbeta0
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