Science Enabled by Specimen Data
Martin, D., M. T. Aguado, M.-A. Fernández Álamo, T. A. Britayev, M. Böggemann, M. Capa, S. Faulwetter, et al. 2021. On the Diversity of Phyllodocida (Annelida: Errantia), with a Focus on Glyceridae, Goniadidae, Nephtyidae, Polynoidae, Sphaerodoridae, Syllidae, and the Holoplanktonic Families. Diversity 13: 131. https://doi.org/10.3390/d13030131
Phyllodocida is a clade of errantiate annelids characterized by having ventral sensory palps, anterior enlarged cirri, axial muscular proboscis, compound chaetae (if present) with a single ligament, and of lacking dorsolateral folds. Members of most families date back to the Carboniferous, although …
Newbold, T., L. N. Hudson, S. Contu, S. L. L. Hill, J. Beck, Y. Liu, C. Meyer, et al. 2018. Widespread winners and narrow-ranged losers: Land use homogenizes biodiversity in local assemblages worldwide H. Morlon [ed.],. PLOS Biology 16: e2006841. https://doi.org/10.1371/journal.pbio.2006841
Human use of the land (for agriculture and settlements) has a substantial negative effect on biodiversity globally. However, not all species are adversely affected by land use, and indeed, some benefit from the creation of novel habitat. Geographically rare species may be more negatively affected by…
Newbold, T., P. Oppenheimer, A. Etard, and J. J. Williams. 2020. Tropical and Mediterranean biodiversity is disproportionately sensitive to land-use and climate change. Nature Ecology & Evolution 4: 1630–1638. https://doi.org/10.1038/s41559-020-01303-0
Global biodiversity is undergoing rapid declines, driven in large part by changes to land use and climate. Global models help us to understand the consequences of environmental changes for biodiversity, but tend to neglect important geographical variation in the sensitivity of biodiversity to these …
Zhang, X., and A. C. J. Vincent. 2018. Predicting distributions, habitat preferences and associated conservation implications for a genus of rare fishes, seahorses (Hippocampusspp.) M. Beger [ed.],. Diversity and Distributions 24: 1005–1017. https://doi.org/10.1111/ddi.12741
Aim: To identify useful sources of species data and appropriate habitat variables for species distribution modelling on rare species, with seahorses as an example, deriving ecological knowledge and spatially explicit maps to advance global seahorse conservation. Location: The shallow seas. Methods: …