Ciencia habilitada por datos de especímenes

Oyinlola, M. A., G. Reygondeau, C. C. C. Wabnitz, and W. W. L. Cheung. 2020. Projecting global mariculture diversity under climate change. Global Change Biology 26: 2134–2148. 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…

Avila, C., C. Angulo-Preckler, R. P. Martín-Martín, B. Figuerola, H. J. Griffiths, and C. L. Waller. 2020. Invasive marine species discovered on non–native kelp rafts in the warmest Antarctic island. Scientific Reports 10. https://doi.org/10.1038/s41598-020-58561-y

Antarctic shallow coastal marine communities were long thought to be isolated from their nearest neighbours by hundreds of kilometres of deep ocean and the Antarctic Circumpolar Current. The discovery of non–native kelp washed up on Antarctic beaches led us to question the permeability of these barr…

Moudrý, V., and R. Devillers. 2020. Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data. Ecological Informatics 56: 101051. https://doi.org/10.1016/j.ecoinf.2020.101051

Knowing spatial and temporal patterns of species distribution is paramount to support marine species persistence. While datasets provided by global aggregators are increasingly rich and useful, they suffer from various types of data quality issues that can impact their usage. Using marine mammals as…

Menegotto, A., T. F. Rangel, J. Schrader, P. Weigelt, and H. Kreft. 2019. A global test of the subsidized island biogeography hypothesis A. M. C. dos Santos [ed.],. Global Ecology and Biogeography 29: 320–330. https://doi.org/10.1111/geb.13032

Aim: The decreasing capacity of area to predict species richness on small islands (the small‐island effect; SIE) seems to be one of the few exceptions of the species–area relationship. While most studies have focused on how to detect the SIE, the underlying ecological factors determining this patter…

Saeedi, H., and M. Costello. 2019. A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia). Biodiversity Data Journal 7. 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…