Reliably predicting pollinator abundance: Challenges of calibrating process‐based ecological models

Gardner, E, Breeze, TD, Clough, Y et al. (15 more authors) (2020) Reliably predicting pollinator abundance: Challenges of calibrating process‐based ecological models. Methods in Ecology and Evolution. ISSN 2041-210X

Abstract

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Authors/Creators:
  • Gardner, E
  • Breeze, TD
  • Clough, Y
  • Smith, HG
  • Baldock, KCR
  • Campbell, A
  • Garratt, MPD
  • Gillespie, MAK
  • Kunin, WE ORCID logo https://orcid.org/0000-0002-9812-2326
  • McKerchar, M
  • Memmott, J
  • Potts, SG
  • Senapathi, D
  • Stone, GN
  • Wäckers, F
  • Westbury, DB
  • Wilby, A
  • Oliver, TH
Copyright, Publisher and Additional Information: © 2020 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society 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: calibration; credibility assessment; Delphi panels; ecosystem services; pollinators; process‐based models; validation
Dates:
  • Accepted: 8 July 2020
  • Published (online): 30 September 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Nov 2020 15:04
Last Modified: 16 Nov 2020 15:04
Status: Published online
Publisher: Wiley
Identification Number: https://doi.org/10.1111/2041-210x.13483
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