Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions

By A. Johnston, Wesley M. Hochachka, Matthew Strimas‐Mackey, V. Ruiz Gutierrez, O. Robinson, E. Miller, Tom Auer, Steve Kelling, Daniel Fink. Diversity and Distributions: A journal of biological invasions and biodiversity, 2021

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Ecological data collected by the general public are valuable for addressing a wide range of ecological research and conservation planning, and there has been a rapid increase in the scope and volume of data available. However, data from eBird or other large‐scale projects with volunteer observers typically present several challenges that can impede robust ecological inferences. These challenges include spatial bias, variation in effort and species reporting bias.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/5daa81db96c4e8c3f7091e6e86cc4b12d05931e4