Modelling forests as social-ecological systems : A systematic comparison of agent-based approaches
(2024) In Environmental Modelling and Software 175.- Abstract
The multifunctionality of forest systems calls for appropriately complex modelling approaches to capture social and ecosystem dynamics. Using a social-ecological systems framework, we review the functionality of 31 existing agent-based models applied to managed forests. Several applications include advanced cognitive and emotional decision-making, crucial for understanding complex sustainability challenges. However, far from all demonstrate representation of key elements in a social-ecological system like direct interactions, and dynamic representations of social and ecological processes. We conclude that agent-based approaches are adequately complex for simulating both social and ecological subsystems, but highlight three main avenues... (More)
The multifunctionality of forest systems calls for appropriately complex modelling approaches to capture social and ecosystem dynamics. Using a social-ecological systems framework, we review the functionality of 31 existing agent-based models applied to managed forests. Several applications include advanced cognitive and emotional decision-making, crucial for understanding complex sustainability challenges. However, far from all demonstrate representation of key elements in a social-ecological system like direct interactions, and dynamic representations of social and ecological processes. We conclude that agent-based approaches are adequately complex for simulating both social and ecological subsystems, but highlight three main avenues for further development: i) robust methodological standards for calibration and validation of agent-based approaches; ii) modelling of agent learning, adaptive governance and feedback loops; iii) coupling to ecological models such as dynamic vegetation models or species distribution models. We round-off by providing a set of questions to support social-ecological systems modelling choices.
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- author
- Ekström, Hanna LU ; Droste, Nils LU and Brady, Mark LU
- organization
- publishing date
- 2024-04
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- ABM, Complex adaptive system, Forest management, Model choice, SES
- in
- Environmental Modelling and Software
- volume
- 175
- article number
- 105998
- publisher
- Elsevier
- external identifiers
-
- scopus:85187205525
- ISSN
- 1364-8152
- DOI
- 10.1016/j.envsoft.2024.105998
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 The Authors
- id
- d4b8324c-f83d-4791-9560-1e428ad79313
- date added to LUP
- 2024-03-20 06:09:35
- date last changed
- 2024-03-20 10:21:40
@article{d4b8324c-f83d-4791-9560-1e428ad79313, abstract = {{<p>The multifunctionality of forest systems calls for appropriately complex modelling approaches to capture social and ecosystem dynamics. Using a social-ecological systems framework, we review the functionality of 31 existing agent-based models applied to managed forests. Several applications include advanced cognitive and emotional decision-making, crucial for understanding complex sustainability challenges. However, far from all demonstrate representation of key elements in a social-ecological system like direct interactions, and dynamic representations of social and ecological processes. We conclude that agent-based approaches are adequately complex for simulating both social and ecological subsystems, but highlight three main avenues for further development: i) robust methodological standards for calibration and validation of agent-based approaches; ii) modelling of agent learning, adaptive governance and feedback loops; iii) coupling to ecological models such as dynamic vegetation models or species distribution models. We round-off by providing a set of questions to support social-ecological systems modelling choices.</p>}}, author = {{Ekström, Hanna and Droste, Nils and Brady, Mark}}, issn = {{1364-8152}}, keywords = {{ABM; Complex adaptive system; Forest management; Model choice; SES}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Environmental Modelling and Software}}, title = {{Modelling forests as social-ecological systems : A systematic comparison of agent-based approaches}}, url = {{http://dx.doi.org/10.1016/j.envsoft.2024.105998}}, doi = {{10.1016/j.envsoft.2024.105998}}, volume = {{175}}, year = {{2024}}, }