Sampling methods play a major role in determining how comparable different freshwater data are and whether freshwater data from different sources can be combined in a meaningful meta-analysis of biodiversity measures and community composition (Lento et al. 2019; Jarvis et al. 2023). For example, different freshwater fish sampling gear types are only effective on a portion of the fish assemblage, and some net mesh sizes fail to capture small-bodied fish species. Combining fish data with diverse sampling methods may thus introduce methodological bias into the meta-analysis.
I propose again to give concrete publishing term examples for users:
Sampling methods (which can be captured by dwc:samplingProtocol, dwc:samplingEffort and other related Event terms) play a major role in determining how comparable different freshwater data are and whether freshwater data from different sources can be combined in a meaningful meta-analysis of biodiversity measures and community composition (Lento et al. 2019; Jarvis et al. 2023). For example, different freshwater fish sampling gear types are only effective on a portion of the fish assemblage, and some net mesh sizes fail to capture small-bodied fish species. Combining fish data with diverse sampling methods may thus introduce methodological bias into the meta-analysis.
Please also link to the proposed terms that could be useful in the recommended terms to be included in DwC, and be clear what is currently possible vs. what is not currently possible to share.
Feedback for: https://docs.gbif-uat.org/freshwater-data-publishing-guide/en/#sampling-methods
I propose again to give concrete publishing term examples for users:
Please also link to the proposed terms that could be useful in the recommended terms to be included in DwC, and be clear what is currently possible vs. what is not currently possible to share.
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