eBird citizen science protocol

Knowledge graph centered on eBird citizen science protocol with 36 nodes and 124 connections. Top connected: Ligusticum porteri, Populus, elevational gradients, Populus tremuloides, Polemonium.

Method synopsis

Use existing citizen science bird observation data from eBird database to characterize bird abundance and diversity patterns across environmental gradients. Data is filtered for quality and geographic relevance.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Decomposing an elevational gradient in predation by insectivorous birds (2024), Ecosphere. Implementations in other papers (listed below) may differ.

1. Collect bird community data
   Extract bird abundance and diversity data from eBird Basic Data (Version EBD_relMay-2022) following best practices guide, restricting to checklists less than 5 hours duration, less than 5 km length, fewer than 10 observers, within study region and elevational gradient
   Quantities: Data filtered to complete checklists within portions of Gunnison County matching study area elevational gradientDuration: Data extraction from existing eBird database for study periodConditions: Checklists from same region and elevational range as clay caterpillar sites
   Equipment: eBird database, R package Elevatr (Hollister et al., 2021), Elton Traits database v1.0

Typical Equipment

• eBird database
• R package Elevatr (Hollister et al., 2021)
• Elton Traits database v1.0

Output Measurements

• bird abundance
• bird diversity
• species composition

Papers Using This Protocol (1)

Species Studied With This Protocol