@article{WangWhiteGrimmetal.2018,
  author    = {Wang, Ming and White, Neil and Grimm, Volker and Hofman, Helen and Doley, David and Thorp, Grant and Cribb, Bronwen and Wherritt, Ella and Han, Liqi and Wilkie, John and Hanan, Jim},
  title     = {Pattern-oriented modelling as a novel way to verify and validate functional-structural plant models},
  series = {Annals of botany},
  volume    = {121},
  journal   = {Annals of botany},
  number    = {5},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {0305-7364},
  doi       = {10.1093/aob/mcx187},
  pages     = {941 -- 959},
  year      = {2018},
  abstract  = {Background and Aims Functional-structural plant (FSP) models have been widely used to understand the complex interactions between plant architecture and underlying developmental mechanisms. However, to obtain evidence that a model captures these mechanisms correctly, a clear distinction must be made between model outputs used for calibration and thus verification, and outputs used for validation. In pattern-oriented modelling (POM), multiple verification patterns are used as filters for rejecting unrealistic model structures and parameter combinations, while a second, independent set of patterns is used for validation. Key Results After calibration, our model simultaneously reproduced multiple observed architectural patterns. The model then successfully predicted, without further calibration, the validation patterns. The model supports the hypothesis that carbon allocation can be modelled as being dependent on current organ biomass and sink strength of each organ type, and also predicted the observed developmental timing of the leaf sink-source transition stage.},
  language  = {en}
}
@article{GrimmBergerBastiansenetal.2006,
  author    = {Grimm, Volker and Berger, Uta and Bastiansen, Finn and Eliassen, Sigrunn and Ginot, Vincent and Giske, Jarl and Goss-Custard, John and Grand, Tamara and Heinz, Simone K. and Huse, Geir and Huth, Andreas and Jepsen, Jane U. and Jorgensen, Christian and Mooij, Wolf M. and Mueller, Birgit and Piou, Cyril and Railsback, Steven Floyd and Robbins, Andrew M. and Robbins, Martha M. and Rossmanith, Eva and Rueger, Nadja and Strand, Espen and Souissi, Sami and Stillman, Richard A. and Vabo, Rune and Visser, Ute and DeAngelis, Donald L.},
  title     = {A standard protocol for describing individual-based and agent-based models},
  series = {Ecological modelling : international journal on ecological modelling and engineering and systems ecolog},
  volume    = {198},
  journal   = {Ecological modelling : international journal on ecological modelling and engineering and systems ecolog},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0304-3800},
  doi       = {10.1016/j.ecolmodel.2006.04.023},
  pages     = {115 -- 126},
  year      = {2006},
  abstract  = {Simulation models that describe autonomous individual organisms (individual based models, IBM) or agents (agent-based models, ABM) have become a widely used tool, not only in ecology, but also in many other disciplines dealing with complex systems made up of autonomous entities. However, there is no standard protocol for describing such simulation models, which can make them difficult to understand and to duplicate. This paper presents a proposed standard protocol, ODD, for describing IBMs and ABMs, developed and tested by 28 modellers who cover a wide range of fields within ecology. This protocol consists of three blocks (Overview, Design concepts, and Details), which are subdivided into seven elements: Purpose, State variables and scales, Process overview and scheduling, Design concepts, Initialization, Input, and Submodels. We explain which aspects of a model should be described in each element, and we present an example to illustrate the protocol in use. In addition, 19 examples are available in an Online Appendix. We consider ODD as a first step for establishing a more detailed common format of the description of IBMs and ABMs. Once initiated, the protocol will hopefully evolve as it becomes used by a sufficiently large proportion of modellers. (c) 2006 Elsevier B.V. All rights reserved.},
  language  = {en}
}