Optimizing large-scale biodiversity sampling effort: toward an unbalanced survey design.
Average rating votes
Lefcheck, Jonathan S.
Kavanaugh, Maria T.
de Azevedo Mazzuco, Ana Carolina
Cordeiro, Cesar A.M.M.
Macaya, Erasmo C.
Soto, Eulogio H.
Muller-Karger, Frank E.
MetadataShow full item record
Acquiring marine biodiversity data is difficult, costly, and timeconsuming, making it challenging to understand the distribution and abundance of life in the ocean. Historically, approaches to biodiversity sampling over large geographic scales have advocated for equivalent effort across multiple sites to minimize comparative bias. When effort cannot be equalized, techniques such as rarefaction have been applied to minimize biases by reverting diversity estimates to equivalent numbers of samples or individuals. This often results in oversampling and wasted resources or inaccurately characterized communities due to undersampling. How, then, can we better determine an optimal survey design for characterizing species richness and community composition across a range of conditions and capacities without compromising taxonomic resolution and statistical power? Researchers in the Marine Biodiversity Observation Network Pole to Pole of the Americas (MBON Pole to Pole) are surveying .....
Sustainable Development Goals (SDG)14.a
Essential Ocean Variables (EOV)N/A
CitationMontes, E., Lefcheck, J.S., Guerra-Castro, E., Klein, E., Kavanaugh, M.T., et al (2021) Optimizing large-scale biodiversity sampling effort: toward an unbalanced survey design. Oceanography, 34(2), pp.80–91. DOI: https://doi.org/10.5670/ oceanog.2021.216.
The following license files are associated with this item: