Author

W. M. Hochachka

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Assay:field survey / ecological data· 1 Organism:multiple species· 1 Organism:non-human primate· 1

Frequent Co-Authors

A. Johnston· 2 shared D. Fink· 2 shared E. T. Miller· 2 shared T. Auer· 2 shared B. G. Freeman· 1 shared C. Eldermire· 1 shared C. Lisle· 1 shared D. N. Bonter· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersEcology

A. Johnston

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Author profile →

3 papers

Recent·Most cited

Analytical guidelines to increase the value of citizen science data: using eBird data to estimate species occurrence

A. Johnston, W. M. Hochachka, M. Strimas-Mackey, V. Ruiz Gutierrez, O. J. Robinson, E. T. Miller, T. Auer, S. T. Kelling, D. Fink

This study improves species distribution estimates from eBird data by refining data processing and addressing biases, showing that complete checklists and effort covariates enhance model performance.

bioRxiv · Jun 23, 2020Ecology

Modeling Avian Full Annual Cycle Distribution and Population Trends with Citizen Science Data

D. Fink, T. Auer, A. Johnston, V. Ruiz-Gutierrez, W. M. Hochachka, S. Kelling

The paper develops a framework to analyze citizen science data and estimate species distribution and abundance across the annual cycle, applied to Wood Thrush using eBird data.

bioRxiv · May 17, 2019Ecology

Fighting over food unites the birds of North America in a continental dominance hierarchy

E. T. Miller, D. N. Bonter, C. Eldermire, B. G. Freeman, E. I. Greig, L. J. Harmon, C. Lisle, W. M. Hochachka

The paper constructs a continental-scale interspecific dominance hierarchy of North American birds based on citizen science data and finds it is nearly linear, mostly predicted by body mass with clade-specific deviations.

bioRxiv · Jan 30, 2017Ecology