@article{SvenningGravelHoltetal.2014,
  author    = {Svenning, Jens-Christian and Gravel, Dominique and Holt, Robert D. and Schurr, Frank Martin and Thuiller, Wilfried and Muenkemueller, Tamara and Schiffers, Katja H. and Dullinger, Stefan and Edwards, Thomas C. and Hickler, Thomas and Higgins, Steven I. and Nabel, Julia E. M. S. and Pagel, J{\"o}rn and Normand, Signe},
  title     = {The influence of interspecific interactions on species range expansion rates},
  series = {Ecography : pattern and diversity in ecology ; research papers forum},
  volume    = {37},
  journal   = {Ecography : pattern and diversity in ecology ; research papers forum},
  number    = {12},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {0906-7590},
  doi       = {10.1111/j.1600-0587.2013.00574.x},
  pages     = {1198 -- 1209},
  year      = {2014},
  language  = {en}
}
@article{PagelAndersonCrameretal.2014,
  author    = {Pagel, J{\"o}rn and Anderson, Barbara J. and Cramer, Wolfgang and Fox, Richard and Jeltsch, Florian and Roy, David B. and Thomas, Chris D. and Schurr, Frank Martin},
  title     = {Quantifying range-wide variation in population trends from local abundance surveys and widespread opportunistic occurrence records},
  series = {Methods in ecology and evolution : an official journal of the British Ecological Society},
  volume    = {5},
  journal   = {Methods in ecology and evolution : an official journal of the British Ecological Society},
  number    = {8},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {2041-210X},
  doi       = {10.1111/2041-210X.12221},
  pages     = {751 -- 760},
  year      = {2014},
  abstract  = {2. We present a hierarchical model that integrates observations from multiple sources to estimate spatio-temporal abundance trends. The model links annual population densities on a spatial grid to both long-term count data and to opportunistic occurrence records from a citizen science programme. Specific observation models for both data types explicitly account for differences in data structure and quality. 3. We test this novel method in a virtual study with simulated data and apply it to the estimation of abundance dynamics across the range of a butterfly species (Pyronia tithonus) in Great Britain between 1985 and 2004. The application to simulated and real data demonstrates how the hierarchical model structure accommodates various sources of uncertainty which occur at different stages of the link between observational data and the modelled abundance, thereby it accounts for these uncertainties in the inference of abundance variations. 4. We show that by using hierarchical observation models that integrate different types of commonly available data sources, we can improve the estimates of variation in species abundances across space and time. This will improve our ability to detect regional trends and can also enhance the empirical basis for understanding range dynamics.},
  language  = {en}
}
@phdthesis{Pagel2014,
  author    = {Pagel, J{\"o}rn},
  title     = {Statistical process-based models for the understanding and prediction of range dynamics},
  pages     = {VII, 147},
  year      = {2014},
  language  = {en}
}