Report on Improved Forest models with enhanced representation of behavior and behavioral change of forest owners and conservation managers. BIOCONSENT (Deliverable 3.1)

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Bioconsent_Deliverable_3.1.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109197 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109197 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109197 archive 2 disk0/00/02/04/56 2025-03-17 12:25:57 2025-03-17 16:07:44 2025-03-17 12:25:57 other show 1 Maximo Y.I. Hassegawa M. Nabau J. Pecurul-Botines M. Aquilué N. Kraxner F. 7904 Johnstone C. 2465 Shchepashchenko D. 7435 0000-0002-7814-4990 Krasovskiy A. 8266 0000-0003-0940-9366 Kindermann G.E. 8178 0000-0003-4297-1318 Park E. 9417 0000-0002-0442-7621 Jo H.-W. Nordström E.-M. Pezdevšek Malovrh Š. Verkerk P.J. Report on Improved Forest models with enhanced representation of behavior and behavioral change of forest owners and conservation managers. BIOCONSENT (Deliverable 3.1) pub NODES BNR AFE The complex nature of human decision making has been the focus of studies for decades across several themes, including environment modelling (Groeneveld et al., 2017). Forest management decisions are shaped by many socio-ecological factors and result in different behavioural responses. There are diverse types of forest owners and managers, hereafter collectively referred to as ‘agents’, with a variety of objectives, preferences and behaviour that affect forest management decision-making. It is important to consider these differences in behaviour and behavioural change in forest management decision support tools when assessing the impact of policies, market drivers, and conservation goals on forest environments (e.g., see Brodrechtova et al., 2018 and Sotirov et al., 2019). Distinct methods have been used to represent agent behaviour through integration of influence factors for decision making (e.g., economic, social, environmental factors) into modelling of land use change and decision support systems to the provision of ecosystem services (Groeneveld et al., 2017). In the context of the BIOCONSENT project, behaviour is defined as being forest management practices opted to be implemented by the forest owners and conservation managers. Within the project, the factors that shape forest management decision making will be covered by the analysis of behaviour of forest owners and conservation managers, as they act as primary agents of change by making and implementing management decisions. The BIOCONSENT project, aims to design an effective and integrated decision support tool, supported by more in-depth knowledge that will be gained on (i) analysing policy objectives and identifying implementation instruments (ii) the behavioural responses from agents of change and (iii) the outcomes of forest conservation and restoration measures. To better understand how alternative policies and management actions affect forest biodiversity conservation and restoration, WP3 seeks to integrate biophysical, social, economic, and policy/governance aspects into forest modelling tools. WP3 will quantify scenario outcomes on regional and EU levels, by interpreting and upscaling policy and management scenarios. 2025-02-11 published Zenodo https://doi.org/10.5281/zenodo.14801477 165 3676 279 164 157 3328 public Decision-making Support for Forest Biodiversity Conservation and Restoration Policy and Management in Europe: Trade-offs and Synergies at the Forest- Biodiversity-Climate-Water Nexus (BIOCONSENT, H2020 101003777) yes info:eu-repo/grantAgreement/EC/H2020/101003777/EU//BIOCONSENT info:eu-repo/semantics/other info:eu-repo/semantics/openAccess