How to sample for rare species?

Øyvind Lynne recently defended his master thesis, where he compared unequal probability sampling with random stratified sampling with the aim of making distribution models and finding rare species.

knaus på øy med hytter i bakgrunnen. blå himmel, sommer, lav vegetasjon

Nakkholmen, one of the study sites in the Oslo fjord.

Foto: Øyvind Lynne

Rare species can be difficult to find. When designing a study, it is often necessary to apply some form of stratified sampling to improve the chances of capturing enough data of the rare species. But what method is best for such sampling?

Lynne compared two methods: unequal probability sampling and random stratified sampling. He used data about a group of 29 species found in a rare and endangered habitat type around the Oslo fjord, and employed both field work and distribution modelling in his thesis.

His results show that the unequal-probability sampling did better than random-stratified sampling in finding the rare species in this study system.

Bildet kan inneholde: person, ansikt, ansiktshår, hår, skjegg.
Blue skies on a day in the field looking for rare plants in the study sites. Photo: Øyvind Lynne

 

Emneord: Distribution modelling, red list, grasslands, study design, MSc Av Eva Lieungh
Publisert 24. mars 2020 14:27 - Sist endret 24. mars 2020 14:27