Science Enabled by Specimen Data

Hughes, A. C., Orr, M. C., Ma, K., Costello, M. J., Waller, J., Provoost, P., … Qiao, H. (2021). Sampling biases shape our view of the natural world. Ecography. doi:10.1111/ecog.05926 https://doi.org/10.1111/ecog.05926

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no synthesis of bias patterns or their consequences exists. As such, views of organismal distribution and the ecosystems they make up may be incorrect, undermining countless ecological and evolutionary studies.…

Urcádiz-Cázares, F. J., Cruz-Escalona, V. H., Peterson, M. S., Aguilar-Medrano, R., Marín-Enríquez, E., González-Peláez, S. S., … Ortega-Rubio, A. (2021). Linking Habitat and Associated Abiotic Conditions to Predict Fish Hotspots Distribution Areas within La Paz Bay: Evaluating Marine Conservation Areas. Diversity, 13(5), 212. doi:10.3390/d13050212 https://doi.org/10.3390/d13050212

Hotspots are priority marine or terrestrial areas with high biodiversity where delineation is essential for conservation, but equally important is their linkage to the environmental policies of the overall region. In this study, fish diversity presences were linked to abiotic conditions and differen…

Oyinlola, M. A., Reygondeau, G., Wabnitz, C. C. C., Troell, M., & Cheung, W. W. L. (2018). Global estimation of areas with suitable environmental conditions for mariculture species. PLOS ONE, 13(1), e0191086. doi:10.1371/journal.pone.0191086 https://doi.org/10.1371/journal.pone.0191086

Aquaculture has grown rapidly over the last three decades expanding at an average annual growth rate of 5.8% (2005–2014), down from 8.8% achieved between 1980 and 2010. The sector now produces 44% of total food fish production. Increasing demand and consumption from a growing global population are d…

Oegelund Nielsen, R., da Silva, R., Juergens, J., Staerk, J., Lindholm Sørensen, L., Jackson, J., … Conde, D. A. (2020). Standardized data to support conservation prioritization for sharks and batoids (Elasmobranchii). Data in Brief, 33, 106337. doi:10.1016/j.dib.2020.106337 https://doi.org/10.1016/j.dib.2020.106337

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Chollett, I., & Robertson, D. R. (2020). Comparing biodiversity databases: Greater Caribbean reef fishes as a case study. Fish and Fisheries. doi:10.1111/faf.12497 https://doi.org/10.1111/faf.12497

There is a widespread need for reliable biodiversity databases for science and conservation. Among the many public databases available, we lack guidance as to how their data quality varies. Here, we compare species distribution data for a well known regional reef fish fauna extracted from five globa…

Oyinlola, M. A., Reygondeau, G., Wabnitz, C. C. C., & Cheung, W. W. L. (2020). Projecting global mariculture diversity under climate change. Global Change Biology. doi:10.1111/gcb.14974 https://doi.org/10.1111/gcb.14974

Previous studies have focused on changes in the geographical distribution of terrestrial biomes and species targeted by marine capture fisheries due to climate change impacts. Given mariculture’s substantial contribution to global seafood production and its growing significance in recent decades, it…