Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1093/biosci/biz010
Lizenz creative commons licence
Titel (primär) Using semistructured surveys to improve citizen science data for monitoring biodiversity
Autor Kelling, S.; Johnston, A.; Bonn, A. ORCID logo ; Fink, D.; Ruiz-Gutierrez, V.; Bonney, R.; Fernandez, M.; Hochachka, W.M.; Julliard, R.; Kraemer, R.; Guralnick, R.
Quelle BioScience
Erscheinungsjahr 2019
Department iDiv; ESS
Band/Volume 69
Heft 3
Seite von 170
Seite bis 179
Sprache englisch
Keywords citizen science; biodiversity monitoring; species distributions; citizen science survey design
Abstract Biodiversity is being lost at an unprecedented rate, and monitoring is crucial for understanding the causal drivers and assessing solutions. Most biodiversity monitoring data are collected by volunteers through
citizen science projects, and often crucial information is lacking to account for the inevitable biases that observers introduce during data collection. We contend that citizen science projects intended to support
biodiversity monitoring must gather information about the observationprocess as well as species occurrence. We illustrate this using eBird, a global citizen science project that collects information on bird occurrences as well as vital contextual information on the observation process while maintaining broad participation. Our fundamental argument is that regardless of what species are being monitored, when citizen science projects collect a small set of basic information about how participants make their observations, the scientific value of the data collected will be dramatically improved.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=21295
Kelling, S., Johnston, A., Bonn, A., Fink, D., Ruiz-Gutierrez, V., Bonney, R., Fernandez, M., Hochachka, W.M., Julliard, R., Kraemer, R., Guralnick, R. (2019):
Using semistructured surveys to improve citizen science data for monitoring biodiversity
Bioscience 69 (3), 170 - 179 10.1093/biosci/biz010