Opportunistic citizen science data of animal species produce reliable estimates of distribution trends if analysed with occupancy models

By A. Strien, C. V. van Swaay, T. Termaat. 2013

408 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/686342f83f7f4b6cae72b8302ed5fb10765e5ad7

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Citizen science and early detection of invasive species: phenology of first occurrences of Halyomorpha halys in Southern Europe (2016, positive): “We are aware that citizen science data are not reliable in yielding estimates of species distribution (Van Strien et al. 2013), since they are collected without a standardized protocol and explicit sampling design.”
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities (2017, background): “All rights reserved.’ survey visits can be deduced based on the records from common species (e.g. Kéry et al. 2010b, Strien et al. 2013).”
The Biological Records Centre: a pioneer of citizen science (2015, methodology): “Professional researchers, e.g. in BRC, continue to develop sophisticated analytical techniques that are best able to extract quantitative information (e.g. on distribution patterns and change) from these datasets (Hill, 2012; Van Strien et al., 2013; Isaac et al., 2014; Powney & Isaac, 2015); this i”
Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions (2021, background): “As a result, multiple approaches have been suggested for inferring non- detection events when data are stored in a presence- only format (Hill, 2012; van Strien et al., 2013).”
Unstructured citizen science data fail to detect long‐term population declines of common birds in Denmark (2016, methodology): “Observation effort is not standardized as in structured monitoring schemes (Dickinson et al., 2010), and there might be considerable reporting bias, as many observers tend to report only unusual or rare species (van Strien et al., 2013).”