Open AccessSeasonal occurrence and abundance of dabbling ducks across the continental United States: Joint spatio‐temporal modelling for the Genus Anas
Author(s) -
Humphreys John M.,
Murrow Jennifer L.,
Sullivan Jeffery D.,
Prosser Diann J.
Publication year - 2019
Publication title -
diversity and distributions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.918
H-Index - 118
eISSN - 1472-4642
pISSN - 1366-9516
DOI - 10.1111/ddi.12960
Subject(s) - abundance (ecology) , relative species abundance , ecology , habitat , waterfowl , anas , geography , breeding bird survey , wildlife , biology
Aim Estimating the distribution and abundance of wildlife is an essential task in species conservation, wildlife management and habitat prioritization. Although a host of methods and tools have been proposed to accomplish this undertaking, several challenges remain in accurately forecasting occurrence and abundance for highly mobile species. Exhibiting extensive geographic ranges with seasonally varying local occupancy, migratory ducks are exemplar highly mobile species and are foci for waterfowl conservation and management globally. With the goal of informing species conservation and management, our aim was to leverage citizen science data to estimate occurrence and relative abundance for ten dabbling duck species across the continental United States. Location Conterminous United States. Methods We applied spatially and temporally explicit Bayesian hierarchical modelling to jointly estimate season‐specific occurrence and relative abundance for ten dabbling duck species in the Genus Anas . Our conditionally dependent model design enabled relative abundance estimates to be informed by occurrence probability while accounting for cumulative spatial and temporal errors across shared model components. Results Outcomes suggest that although dabbling duck distributions show little inter‐annual variability at the continental scale, local relative abundances may differ year to year. Commensurate with being highly mobile migratory species, estimates indicate considerable intra‐annual variation with occurrence probability, local abundance and habitat preferences differing by season and species. Main conclusions Our approach offers a powerful and flexible framework for quantifying intra‐/inter‐annual duck occurrence and relative abundance while accounting for spatial, temporal and data collection biases. We believe that model produced maps can be applied to inform waterfowl conservation and management throughout the continental United States.