Inferring the temperature dependence of population parameters: the effects of experimental design and inference algorithm

Palamara, G.M., Childs, D.Z., Clements, C.F. et al. (3 more authors) (2014) Inferring the temperature dependence of population parameters: the effects of experimental design and inference algorithm. Ecology and Evolution, 4 (24). pp. 4736-4750.

Abstract

Metadata

Authors/Creators:
  • Palamara, G.M.
  • Childs, D.Z.
  • Clements, C.F.
  • Petchey, O.L.
  • Plebani, M.
  • Smith, M.J.
Copyright, Publisher and Additional Information: © 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Activation energy; Arrhenius equation; maximum likelihood; MCMC; metabolic theory; microcosm experiments; state space models; stochastic simulations
Dates:
  • Accepted: 1 October 2014
  • Published: December 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biological Sciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 18 Sep 2017 08:59
Last Modified: 18 Sep 2017 08:59
Published Version: https://doi.org/10.1002/ece3.1309
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: https://doi.org/10.1002/ece3.1309
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