【💡Editor's Choice】
Lloyd W Morrison et al. described five key metrics of #ObserverError, how they are calculated, and how they can be reported and interpreted.

#CoverAgreement | #CoverEstimation | #DoubleSampling | #NonsamplingError | #ObserverBias | #Pseudo_turnover

https://doi.org/10.1093/jpe/rtaf106

Lloyd W Morrison et al. described five key metrics of #ObserverError (i.e. imprecision between observers), how they are calculated, and how they can be reported and interpreted.

#CoverAgreement | #CoverEstimation | #DoubleSampling | #NonsamplingError | #ObserverBias | #Pseudo_turnover

https://doi.org/10.1093/jpe/rtaf106

Method: Metrics for quantifying and comparing observer error across vegetation studies
1️⃣ #Pseudo_turnover;
2️⃣ #ObserverBias in species richness;
3️⃣ underestimation of true species richness;
4️⃣ #CoverAgreement;
5️⃣ observer bias in #CoverEstimation.

#DoubleSampling | #NonsamplingError | #ObserverError

https://doi.org/10.1093/jpe/rtaf106

【🎉Latest accepted article】
Metrics for quantifying and comparing #ObserverError across vegetation studies

#CoverAgreement | #CoverEstimation | #DoubleSampling | #NonsamplingError | #ObserverBias | #Seudoturnover

https://doi.org/10.1093/jpe/rtaf106

Lloyd W Morrison et al. investigated the effect of #ObserverError on four commonly used #SpeciesDiversityMeasures: species richness, Shannon–Weiner diversity, Shannon–Weiner evenness and Simpson’s index of diversity.
https://doi.org/10.1093/jpe/rtad002