Interdisciplinary modeling and participatory simulation of forest management to foster adaptation to climate change

Timothée Fouqueray, Julie Latune, Michel Trommetter and Nathalie Frascaria-Lacoste ()
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Timothée Fouqueray: ESE - Ecologie Systématique et Evolution - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique
Julie Latune: ESE - Ecologie Systématique et Evolution - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique
Nathalie Frascaria-Lacoste: ESE - Ecologie Systématique et Evolution - AgroParisTech - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique

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Abstract: The adaptive capacity of forests and foresters to overcome the adverse effects of climate change remains highly uncertain despite intense research efforts. While foresters are often invited "not to put all their eggs in one basket," adaptation strategies to climate change mostly depend on silvicultural diversification. To explore how socioeconomic adaptive tools can complement these technical evolutions in forestry, we designed an interdisciplinary and participatory simulation of forest management combining a role-playing game, ecological models of forest evolution, and a severe climate change scenario. Participants from French natural parks and forest organizations responded positively to its multiple applications. Here, we investigate the technical and timber-focused framing of climate change by forest managers. We also analyze participants' negotiations when attempting to change the simulation rules of forest management. Drawing on this experience, we highlight how establishing a payment system for ecosystem services can reduce financial imbalance driven by climate change.

Keywords: Participatory simulation; Interdisciplinary; Forest management; Adaptation; Climate change; Social-ecological (search for similar items in EconPapers)
Date: 2022-05
New Economics Papers: this item is included in nep-agr and nep-env
Note: View the original document on HAL open archive server: https://hal.science/hal-03637823v1
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Citations: View citations in EconPapers (1)

Published in Environmental Modelling and Software, 2022, 151, pp.105338. ⟨10.1016/j.envsoft.2022.105338⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03637823

DOI: 10.1016/j.envsoft.2022.105338

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