4 Works

Data from: The use of an unsupervised learning approach for characterizing latent behaviors in accelerometer data

Marianna Chimienti, Thomas Cornulier, Ellie Owen, Mark Bolton, Ian M. Davies, Justin M. J. Travis, Beth E. Scott & Justin M.J. Travis
The recent increase in data accuracy from high resolution accelerometers offers substantial potential for improved understanding and prediction of animal movements. However, current approaches used for analysing these multivariable datasets typically require existing knowledge of the behaviors of the animals to inform the behavioral classification process. These methods are thus not well-suited for the many cases where limited knowledge of the different behaviors performed exist. Here, we introduce the use of an unsupervised learning algorithm....

Data from: Understanding the mechanisms of anti-tropical divergence in the seabird White-faced Storm-petrel (Procellariiformes: Pelagodroma marina) using a multi-locus approach

Monica C. Silva, Rafael Matias, Ross M. Wanless, Peter G. Ryan, Brent Stephenson, Mark Bolton, Nuno Ferrand & M. Manuela Coelho
Analytical methods that apply coalescent theory to multilocus data have improved inferences of demographic parameters that are critical to understanding population divergence and speciation. In particular, at the early stages of speciation, it is important to implement models that accommodate conflicting gene trees, and benefit from the presence of shared polymorphisms. Here, we employ eleven nuclear loci and the mitochondrial control region to investigate the phylogeography and historical demography of the pelagic seabird White-faced Storm-petrel...

Data from: Evolutionary factors affecting the cross-species utility of newly developed microsatellite markers in seabirds

Yoshan Moodley, Juan F. Masello, Gopi K. Munimanda, Theresa L. Cole, Marco R. Thali, Rachael Alderman, Richard J. Cuthbert, Manuel Marin, Melanie Massaro, Joan Navarro, Richard A. Phillips, Peter G. Ryan, Cristián G. Suazo, Yves Cherel, Henri Weimerskirch, Petra Quillfeldt & Luciano Calderon
Microsatellite loci are ideal for testing hypotheses relating to genetic segregation at fine spatio-temporal scales. They are also conserved among closely related species, making them potentially useful for clarifying interspecific relationships between recently diverged taxa. However, mutations at primer binding sites may lead to increased nonamplification, or disruptions that may result in decreased polymorphism in nontarget species. Furthermore, high mutation rates and constraints on allele size may also with evolutionary time, promote an increase in...

Data from: Geographical variation in species' population responses to changes in temperature and precipitation

James W. Pearce-Higgins, Nancy Ockendon, David J. Baker, Jamie Carr, Elizabeth C. White, Rosamunde E. A. Almond, Tatsuya Amano, Esther Bertram, Richard B. Bradbury, Cassie Bradley, Stuart H. M. Butchart, Nathalie Doswald, Wendy Foden, David J. C. Gill, Rhys E. Green, William J. Sutherland & Edmund V. J. Tanner
Despite increasing concerns about the vulnerability of species’ populations to climate change, there has been little overall synthesis of how individual population responses to variation in climate differ between taxa, with trophic level or geographically. To address this, we extracted data from 132 long-term (≥20 years) studies of population responses to temperature and precipitation covering 236 animal and plant species across terrestrial and freshwater habitats. Temperature tended to have a greater overall impact on populations...

Registration Year

  • 2015

Resource Types

  • Dataset


  • Royal Society for the Protection of Birds
  • University of Cape Town
  • Department of Primary Industries, Parks, Water and Environment
  • Natural History Museum of Los Angeles County
  • Charles Sturt University
  • University of Cambridge
  • University of Aberdeen
  • University of Lisbon
  • British Antarctic Survey
  • Durham University