Science Enabled by Specimen Data

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…

Saeedi, H., & Costello, M. (2019). A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia). Biodiversity Data Journal, 7. doi:10.3897/bdj.7.e31375 https://doi.org/10.3897/bdj.7.e31375

Background: Using this dataset, we examined the global geographical distributions of Solenidae species in relation to their endemicity, species richness and latitudinal ranges and then predicted their distributions under future climate change using species distribution modelling techniques (Saeedi e…

Alvarez, B., Frings, P. J., Clymans, W., Fontorbe, G., & Conley, D. J. (2017). Assessing the Potential of Sponges (Porifera) as Indicators of Ocean Dissolved Si Concentrations. Frontiers in Marine Science, 4. doi:10.3389/fmars.2017.00373 https://doi.org/10.3389/fmars.2017.00373

We explore the distribution of sponges along dissolved silica (dSi) concentration gradients to test whether sponge assemblages are related to dSi and to assess the validity of fossil sponges as a palaeoecological tool for inferring dSi concentrations of the past oceans. We extracted sponge records f…