TY  - JOUR
A1  - Grimm, Volker
A1  - Berger, Uta
A1  - Bastiansen, Finn
A1  - Eliassen, Sigrunn
A1  - Ginot, Vincent
A1  - Giske, Jarl
A1  - Goss-Custard, John
A1  - Grand, Tamara
A1  - Heinz, Simone K.
A1  - Huse, Geir
A1  - Huth, Andreas
A1  - Jepsen, Jane U.
A1  - Jorgensen, Christian
A1  - Mooij, Wolf M.
A1  - Mueller, Birgit
A1  - Piou, Cyril
A1  - Railsback, Steven Floyd
A1  - Robbins, Andrew M.
A1  - Robbins, Martha M.
A1  - Rossmanith, Eva
A1  - Rueger, Nadja
A1  - Strand, Espen
A1  - Souissi, Sami
A1  - Stillman, Richard A.
A1  - Vabo, Rune
A1  - Visser, Ute
A1  - DeAngelis, Donald L.
T1  - A standard protocol for describing individual-based and agent-based models
JF  - Ecological modelling : international journal on ecological modelling and engineering and systems ecolog
N2  - 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.
KW  - individual-based model
KW  - agent-based model
KW  - model description
KW  - scientific communication
KW  - standardization
Y1  - 2006
U6  - https://doi.org/10.1016/j.ecolmodel.2006.04.023
SN  - 0304-3800
VL  - 198
SP  - 115
EP  - 126
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Jeltsch, Florian
A1  - Blaum, Niels
A1  - Brose, Ulrich
A1  - Chipperfield, Joseph D.
A1  - Clough, Yann
A1  - Farwig, Nina
A1  - Geissler, Katja
A1  - Graham, Catherine H.
A1  - Grimm, Volker
A1  - Hickler, Thomas
A1  - Huth, Andreas
A1  - May, Felix
A1  - Meyer, Katrin M.
A1  - Pagel, Jörn
A1  - Reineking, Björn
A1  - Rillig, Matthias C.
A1  - Shea, Katriona
A1  - Schurr, Frank Martin
A1  - Schroeder, Boris
A1  - Tielbörger, Katja
A1  - Weiss, Lina
A1  - Wiegand, Kerstin
A1  - Wiegand, Thorsten
A1  - Wirth, Christian
A1  - Zurell, Damaris
T1  - How can we bring together empiricists and modellers in functional biodiversity research?
JF  - Basic and applied ecology : Journal of the Gesellschaft für Ökologie
N2  - Improving our understanding of biodiversity and ecosystem functioning and our capacity to inform ecosystem management requires an integrated framework for functional biodiversity research (FBR). However, adequate integration among empirical approaches (monitoring and experimental) and modelling has rarely been achieved in FBR. We offer an appraisal of the issues involved and chart a course towards enhanced integration. A major element of this path is the joint orientation towards the continuous refinement of a theoretical framework for FBR that links theory testing and generalization with applied research oriented towards the conservation of biodiversity and ecosystem functioning. We further emphasize existing decision-making frameworks as suitable instruments to practically merge these different aims of FBR and bring them into application. This integrated framework requires joint research planning, and should improve communication and stimulate collaboration between modellers and empiricists, thereby overcoming existing reservations and prejudices. The implementation of this integrative research agenda for FBR requires an adaptation in most national and international funding schemes in order to accommodate such joint teams and their more complex structures and data needs.
KW  - Biodiversity theory
KW  - Biodiversity experiments
KW  - Conservation management
KW  - Decision-making
KW  - Ecosystem functions and services
KW  - Forecasting
KW  - Functional traits
KW  - Global change
KW  - Monitoring programmes
KW  - Interdisciplinarity
Y1  - 2013
U6  - https://doi.org/10.1016/j.baae.2013.01.001
SN  - 1439-1791
VL  - 14
IS  - 2
SP  - 93
EP  - 101
PB  - Elsevier
CY  - Jena
ER  -