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Citizen science data for urban planning: Comparing different sampling schemes for modelling urban bird distribution
Highlights CS standardized data outperform opportunistic data for SDMs. Opportunistic data fail to identify key areas for nightingale distribution. Citizen Science projects aimed at SDM should be designed to avoid data bias. Environmental gradients should be considered in CS project designs. Recording species absences could improve opportunistic data quality.
Citizen science data for urban planning: Comparing different sampling schemes for modelling urban bird distribution
Highlights CS standardized data outperform opportunistic data for SDMs. Opportunistic data fail to identify key areas for nightingale distribution. Citizen Science projects aimed at SDM should be designed to avoid data bias. Environmental gradients should be considered in CS project designs. Recording species absences could improve opportunistic data quality.
Citizen science data for urban planning: Comparing different sampling schemes for modelling urban bird distribution
Planillo, Aimara (Autor:in) / Fiechter, Lena (Autor:in) / Sturm, Ulrike (Autor:in) / Voigt-Heucke, Silke (Autor:in) / Kramer-Schadt, Stephanie (Autor:in)
12.03.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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