### Abstract

Modelling enables theory and empirical evidence to be brought together to build representations of how real-world systems work and how they are likely to respond to external influences. Models can take many forms, such as simple verbal or written descriptions, flow diagrams, sets of mathematical equations or computer programs. Usually the process begins with the development of a verbal or written description of a real-world system (i.e. a ‘conceptual model’), which subsequently can be translated into a mathematical or computational format (i.e. an ‘implemented model’). This implemented model can then be given appropriate inputs such that outputs, predicting the dynamics of the system of interest, are generated (Edmonds and Hales, 2003; Wilensky and Rand, 2007; Fig. 14.1). The outputs can then be compared to understanding or empirical data related to the behaviour of a natural system and this comparison can result in modification of the conceptual model. This iterative process can make amajor contribution to our understanding of how systems work and what may be the crucial drivers of a system (Edmonds, 2000; Fig. 14.1)

Original language | English |
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Title of host publication | Conflicts in Conservation: Navigating Towards Solutions |

Publisher | Cambridge University Press |

Pages | 195-211 |

Number of pages | 17 |

ISBN (Print) | 9781139084574, 9781107017696 |

DOIs | |

Publication status | Published - 1 Jan 2015 |

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### ASJC Scopus subject areas

- Agricultural and Biological Sciences(all)
- Environmental Science(all)

### Cite this

*Conflicts in Conservation: Navigating Towards Solutions*(pp. 195-211). Cambridge University Press. https://doi.org/10.1017/9781139084574.015

**Modelling conservation conflicts.** / Heinonen, J P M; Travis, J M J.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

*Conflicts in Conservation: Navigating Towards Solutions.*Cambridge University Press, pp. 195-211. https://doi.org/10.1017/9781139084574.015

}

TY - CHAP

T1 - Modelling conservation conflicts

AU - Heinonen, J P M

AU - Travis, J M J

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Modelling enables theory and empirical evidence to be brought together to build representations of how real-world systems work and how they are likely to respond to external influences. Models can take many forms, such as simple verbal or written descriptions, flow diagrams, sets of mathematical equations or computer programs. Usually the process begins with the development of a verbal or written description of a real-world system (i.e. a ‘conceptual model’), which subsequently can be translated into a mathematical or computational format (i.e. an ‘implemented model’). This implemented model can then be given appropriate inputs such that outputs, predicting the dynamics of the system of interest, are generated (Edmonds and Hales, 2003; Wilensky and Rand, 2007; Fig. 14.1). The outputs can then be compared to understanding or empirical data related to the behaviour of a natural system and this comparison can result in modification of the conceptual model. This iterative process can make amajor contribution to our understanding of how systems work and what may be the crucial drivers of a system (Edmonds, 2000; Fig. 14.1)

AB - Modelling enables theory and empirical evidence to be brought together to build representations of how real-world systems work and how they are likely to respond to external influences. Models can take many forms, such as simple verbal or written descriptions, flow diagrams, sets of mathematical equations or computer programs. Usually the process begins with the development of a verbal or written description of a real-world system (i.e. a ‘conceptual model’), which subsequently can be translated into a mathematical or computational format (i.e. an ‘implemented model’). This implemented model can then be given appropriate inputs such that outputs, predicting the dynamics of the system of interest, are generated (Edmonds and Hales, 2003; Wilensky and Rand, 2007; Fig. 14.1). The outputs can then be compared to understanding or empirical data related to the behaviour of a natural system and this comparison can result in modification of the conceptual model. This iterative process can make amajor contribution to our understanding of how systems work and what may be the crucial drivers of a system (Edmonds, 2000; Fig. 14.1)

UR - http://www.scopus.com/inward/record.url?scp=84954192119&partnerID=8YFLogxK

U2 - 10.1017/9781139084574.015

DO - 10.1017/9781139084574.015

M3 - Chapter

SN - 9781139084574

SN - 9781107017696

SP - 195

EP - 211

BT - Conflicts in Conservation: Navigating Towards Solutions

PB - Cambridge University Press

ER -