ebirdst_runs {ebirdst}

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 27 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.

• 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.

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