Citizen science data for urban planning: Comparing different sampling schemes for modelling urban bird distribution
Aimara Planillo, Lena Fiechter, Ulrike Sturm, Silke L. Voigt‐Heucke, Stephanie Kramer‐Schadt
Abstract
• 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.
Topics & Concepts
Citizen scienceKey (lock)Sampling (signal processing)Distribution (mathematics)Data qualitySampling biasComputer scienceData scienceEnvironmental scienceEnvironmental planningBusinessStatisticsBiologyMathematicsTelecommunicationsSample size determinationMetric (unit)MarketingComputer securityDetectorMathematical analysisBotanySpecies Distribution and Climate ChangeEcology and Vegetation Dynamics StudiesFire effects on ecosystems