A behavioural ecology approach to understand volunteer surveying for citizen science datasets

By A. Tulloch, J. Szabo. 2012

96 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e54fa69dc5fe8ff9b485b7f1bccdd509e78b0c50

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

1. Daniel Fink
2. Steve Kelling
3. Tara G. Martin
4. Wesley M. Hochachka
5. Hugh P. Possingham
6. A. Tulloch
7. A. Johnston

In Ecology

1. Tara G. Martin
2. J. Szabo
3. Daniel Fink
4. Liana N. Joseph
5. Steve Kelling
6. Wesley M. Hochachka
7. Hugh P. Possingham
8. A. Tulloch

In Nature and Landscape Conservation

1. Tara G. Martin
2. J. Szabo
3. Daniel Fink
4. Steve Kelling
5. Wesley M. Hochachka
6. Hugh P. Possingham
7. A. Tulloch
8. A. Johnston

Citations in the corpus

• Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions (2021, background): “Thirdly, participants often have preferences for certain species, which may lead to preferential recording of some species over others (Troudet et al., 2017; Tulloch & Szabo, 2012).”
• Realising the full potential of citizen science monitoring programs (2013, background): “programs, with the undirected nature of sampling in many Atlases providing information about observer behaviour that can be mined and analysed (Tulloch et al., 2013; Tulloch and Szabo, 2012).”