The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14873118

Boman, B.E.; de Graaf, Martin; Nagelkerke, L.A.J.; Smaal, Aad C.; Izioka-Kuramae, A. et. al. (2021): Data underlying the publication: "Spatial dependency in abundance of Queen conch, Aliger gigas, in the Caribbean, indicates the importance of surveying deep-water distributions". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14873118.v1

Dataset

• Ecology
• Flora, Fauna and Biodiversity

Gastropod, population estimate, spatial correlation, towed video

2011, 2013, 2014, 2015

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by B.E. Boman , Martin de Graaf, L.A.J. Nagelkerke , Aad C. Smaal, A. Izioka-Kuramae, J. van Rijn, Melanie Meijer zu Schlochtern

Evaluate how the spatial distribution of a heavily exploited marine gastropod (i.e., Queen conch) varies in response to a number of known biotic and abiotic variables within and between sites that vary in environmental conditions. A novel towed video system complemented belt transects to estimate adult queen conch densities throughout its depth range. Bayesian hierarchical spatial models (Integrated Nested Laplace approximations) modeled distribution patterns of adult conch and indicated that the general patchy distribution pattern and the lack of strong generic location over-crossing relationships between abiotic and biotic factors and adult conch abundance and distribution is likely to at least partly due to this spatial dependency and location-specific factors, that affect different parts of the conch life-history.

• 2021-07-02 first online, published, posted

4TU.ResearchData

csv

Aquaculture and Fisheries, Wageningen University & Research
Wageningen Marine Research, Wageningen University & Research