Modeling avian full annual cycle distribution and population trends with citizen science data

Information on species’ distributions, abundances, and how they change over time is central to the study of the ecology and conservation of animal populations. This information is challenging to obtain at landscape scales across range-wide extents for two main reasons. First, landscape-scale process...

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Veröffentlicht in:Ecological applications Jg. 30; H. 3; S. 1 - 16
Hauptverfasser: Fink, Daniel, Auer, Tom, Johnston, Alison, Ruiz-Gutierrez, Viviana, Hochachka, Wesley M., Kelling, Steve
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States John Wiley and Sons, Inc 01.04.2020
Ecological Society of America
John Wiley and Sons Inc
Schlagworte:
Abundance
Animal breeding
Animal populations
area of occurrence
biodiversity monitoring
bird distributions
bird migration
birds
Breeding seasons
citizen science
Conservation
Data collection
eBird
full annual cycle
Hylocichla mustelina
Landscape
landscapes
Modelling
Neotropics
population trends
Populations
Seasons
Species
surveys
Trends
Wildlife conservation
Wood Thrush
eBird
bird distributions
biodiversity monitoring
population trends
abundance
citizen science
full annual cycle
area of occurrence
bird migration
Wood Thrush
ISSN:1051-0761, 1939-5582
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Beschreibung
Zusammenfassung:Information on species’ distributions, abundances, and how they change over time is central to the study of the ecology and conservation of animal populations. This information is challenging to obtain at landscape scales across range-wide extents for two main reasons. First, landscape-scale processes that affect populations vary throughout the year and across species’ ranges, requiring high-resolution, year-round data across broad, sometimes hemispheric, spatial extents. Second, while citizen science projects can collect data at these resolutions and extents, using these data requires appropriate analysis to address known sources of bias. Here, we present an analytical framework to address these challenges and generate year-round, range-wide distributional information using citizen science data. To illustrate this approach, we apply the framework to Wood Thrush (Hylocichla mustelina), a long-distance Neotropical migrant and species of conservation concern, using data from the citizen science project eBird. We estimate occurrence and abundance across a range of spatial scales throughout the annual cycle. Additionally, we generate intra-annual estimates of the range, intraannual estimates of the associations between species and characteristics of the landscape, and interannual trends in abundance for breeding and non-breeding seasons. The range-wide population trajectories for Wood Thrush show a close correspondence between breeding and nonbreeding seasons with steep declines between 2010 and 2013 followed by shallower rates of decline from 2013 to 2016. The breeding season range-wide population trajectory based on the independently collected and analyzed North American Breeding Bird Survey data also shows this pattern. The information provided here fills important knowledge gaps for Wood Thrush, especially during the less studied migration and non-breeding periods. More generally, the modeling framework presented here can be used to accurately capture landscape scale intra- and interannual distributional dynamics for broadly distributed, highly mobile species.
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Corresponding Editor: John M. Marzluff.
ISSN:1051-0761
1939-5582
DOI:10.1002/eap.2056