Mapping species richness using opportunistic samples: a case study on ground-floor bryophyte species richness in the Belgian province of Limburg ...
In species richness studies, citizen-science surveys where participants make individual decisions regarding sampling strategies provide a cost-effective approach to collect a large amount of data. However, it is unclear to what extent the bias inherent to opportunistically collected samples may invalidate our inferences. Here, we compare spatial predictions of forest ground-floor bryophyte species richness in Limburg (Belgium), based on crowd- and expert-sourced data, where the latter are collected by adhering to a rigorous geographical randomisation and data collection protocol. We develop a... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | dataset |
Erscheinungsdatum: | 2019 |
Verlag/Hrsg.: |
Dryad
|
Schlagwörter: | Crowdsourcing / sampling bias |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28884011 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.5061/dryad.brv15dv5r |