How to make socio‐environmental modelling more useful to support policy and management?
Abstract Dynamic process‐based modelling is often proposed as a powerful tool to understand complex socio‐environmental problems and to provide sustainable solutions as it allows disentangling cause and effect of human behaviour and environmental dynamics. However, the impact of such models in decis...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-06-01
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| Series: | People and Nature |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/pan3.10207 |
| _version_ | 1819242899785646080 |
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| author | Meike Will Gunnar Dressler David Kreuer Hans‐Hermann Thulke Adrienne Grêt‐Regamey Birgit Müller |
| author_facet | Meike Will Gunnar Dressler David Kreuer Hans‐Hermann Thulke Adrienne Grêt‐Regamey Birgit Müller |
| author_sort | Meike Will |
| collection | DOAJ |
| description | Abstract Dynamic process‐based modelling is often proposed as a powerful tool to understand complex socio‐environmental problems and to provide sustainable solutions as it allows disentangling cause and effect of human behaviour and environmental dynamics. However, the impact of such models in decision‐making and to support policy‐making has so far been very limited. In this paper, we want to take a critical look at the reasons behind this situation and propose steps that need to be taken to change it. We investigate a number of good practice examples from fields where models have influenced policy‐making and management to identify the main aspects that promote or impede the application of these models. Specifically, we compare examples that differ in their extent to how explicitly they represent human behaviour as part of the model, ranging from purely environmental systems (including models for river management, honeybee colonies and animal diseases), where modelling techniques have long been established, to coupled socio‐environmental systems (including models for land use, fishery management and sustainable water use). We use these examples to synthesise four key factors for successful modelling for policy and management support in socio‐environmental systems. They cover (a) the specific requirements caused by modelling the human dimension, (b) the importance of data availability and accessibility, (c) essential elements of the partnership between modellers and decision‐makers and (d) insights related to characteristics of the decision process. For each of these aspects, we give recommendations specifically to modellers, decision‐makers or both to make the use of models for practice more effective. We argue that if all parties involved in the modelling and decision‐making process take into account these suggestions during their collaboration, the full potential that socio‐environmental modelling bears can increasingly unfold. A free Plain Language Summary can be found within the Supporting Information of this article. |
| first_indexed | 2024-12-23T14:47:08Z |
| format | Article |
| id | doaj.art-ffd11a3e94734ab4adb18c0165634aa6 |
| institution | Directory Open Access Journal |
| issn | 2575-8314 |
| language | English |
| last_indexed | 2024-12-23T14:47:08Z |
| publishDate | 2021-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | People and Nature |
| spelling | doaj.art-ffd11a3e94734ab4adb18c0165634aa62022-12-21T17:43:04ZengWileyPeople and Nature2575-83142021-06-013356057210.1002/pan3.10207How to make socio‐environmental modelling more useful to support policy and management?Meike Will0Gunnar Dressler1David Kreuer2Hans‐Hermann Thulke3Adrienne Grêt‐Regamey4Birgit Müller5Department of Ecological Modelling Helmholtz Centre for Environmental Research – UFZ Leipzig GermanyDepartment of Ecological Modelling Helmholtz Centre for Environmental Research – UFZ Leipzig GermanyDepartment of Ecological Modelling Helmholtz Centre for Environmental Research – UFZ Leipzig GermanyDepartment of Ecological Modelling Helmholtz Centre for Environmental Research – UFZ Leipzig GermanyPlanning of Landscape and Urban Systems Institute for Spatial and Landscape Development ETH Zurich Zurich SwitzerlandDepartment of Ecological Modelling Helmholtz Centre for Environmental Research – UFZ Leipzig GermanyAbstract Dynamic process‐based modelling is often proposed as a powerful tool to understand complex socio‐environmental problems and to provide sustainable solutions as it allows disentangling cause and effect of human behaviour and environmental dynamics. However, the impact of such models in decision‐making and to support policy‐making has so far been very limited. In this paper, we want to take a critical look at the reasons behind this situation and propose steps that need to be taken to change it. We investigate a number of good practice examples from fields where models have influenced policy‐making and management to identify the main aspects that promote or impede the application of these models. Specifically, we compare examples that differ in their extent to how explicitly they represent human behaviour as part of the model, ranging from purely environmental systems (including models for river management, honeybee colonies and animal diseases), where modelling techniques have long been established, to coupled socio‐environmental systems (including models for land use, fishery management and sustainable water use). We use these examples to synthesise four key factors for successful modelling for policy and management support in socio‐environmental systems. They cover (a) the specific requirements caused by modelling the human dimension, (b) the importance of data availability and accessibility, (c) essential elements of the partnership between modellers and decision‐makers and (d) insights related to characteristics of the decision process. For each of these aspects, we give recommendations specifically to modellers, decision‐makers or both to make the use of models for practice more effective. We argue that if all parties involved in the modelling and decision‐making process take into account these suggestions during their collaboration, the full potential that socio‐environmental modelling bears can increasingly unfold. A free Plain Language Summary can be found within the Supporting Information of this article.https://doi.org/10.1002/pan3.10207fisheryland usepolicy supportsimulation modelwater management |
| spellingShingle | Meike Will Gunnar Dressler David Kreuer Hans‐Hermann Thulke Adrienne Grêt‐Regamey Birgit Müller How to make socio‐environmental modelling more useful to support policy and management? People and Nature fishery land use policy support simulation model water management |
| title | How to make socio‐environmental modelling more useful to support policy and management? |
| title_full | How to make socio‐environmental modelling more useful to support policy and management? |
| title_fullStr | How to make socio‐environmental modelling more useful to support policy and management? |
| title_full_unstemmed | How to make socio‐environmental modelling more useful to support policy and management? |
| title_short | How to make socio‐environmental modelling more useful to support policy and management? |
| title_sort | how to make socio environmental modelling more useful to support policy and management |
| topic | fishery land use policy support simulation model water management |
| url | https://doi.org/10.1002/pan3.10207 |
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