The correlation between eBird community science and weather surveillance radar-based estimates of migration phenology.

ABSTRACT:

Aim

Measuring avian migration can prove challenging given the spatial scope and the diversity of species involved. No one monitoring technique provides all the pertinent measures needed to capture this macroscale phenomenon - emphasizing the need for data integration. Migration phenology is a key metric characterizing large-scale migration dynamics and has been successfully quantified using weather surveillance radar (WSR) data and community science observations. Separately, both platforms have their limitations and measure different aspects of bird migration. We sought to make a formal comparison of the migration phenology estimates derived from WSR and eBird data - of which we predict a positive correlation.

Location

Contiguous United States.

Time period

2002-2018.<

SUBMITTER: Haas EK 

PROVIDER: S-EPMC9795923 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature