Report on new Forest Management Practices (FMP) in forest models and implications for land cover change parametrisation in climate models D2.2

Neumann, Mathias and Pichler, Jeremia and Collalti, Alessio and Dalmonech, Daniela and Grieco, Elisa and Vangi, Elia and Morichetti, Mauro and Rechid, Diana and Pop, Christina and Caian, Mihaela and Williams, Karina (2024) Report on new Forest Management Practices (FMP) in forest models and implications for land cover change parametrisation in climate models D2.2. Project Report. OptFor-EU.

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Abstract

Modelling is a valuable analytical tool for understanding ecosystem dynamics, assessing future scenarios, and making informed decisions, particularly crucial for forest ecosystems due to the long-life cycle of trees. In WP2 of the OptFor-EU project, various model types, including forest, climate, and land surface vegetation models, are used to simulate forest dynamics. Modelling is applied to specific forest areas, including individual stands or spatial pixels. One of the central aspects of the OptFor-EU project, including this deliverable, is the development of new Forest Management Practices (FMPs). The existing FMPs, such as Business as Usual (BAU) and No Management (NOM), outlined in the deliverable D2.1 - Forest Management Practices and their relevance in case study areas (Neumann et al., 2023), will serve as a basis for incorporating new management schemes within model runs. More specifically, D2.1 provided rules for observed thinning and final harvesting for each CSA and EFT. D2.1 represents current FMPs and a review of the contributions of EFT, to identify the most frequent forests in the CSA, based on covered area. Since most European forests are managed (FOREST EUROPE 2020), defining FMPs is crucial. Therefore, any model aiming to produce accurate and unbiased results should incorporate management activities. The objectives of D2.2 are (1) to implement both current and new Forest Management Practices (FMPs) within two forest models to evaluate the role of forest management under various climate change scenarios, and (2) to examine the implications of FMPs for land cover change parameterization, identifying optimal integration approaches between forest and climate models. The present deliverable reports on new forest management practices in the Case Study Areas (CSAs) of OptFor-EU, their relevance under different climate scenarios, and the implications for land cover parameterization in climate models. The first section includes the context of this deliverable. The second section includes 1) brief descriptions of the forest models used (i.e., PICUS and 3D-CMCC-FEM); 2) the data needed to initialize the models; 3) the simulation protocol adopted for simulations; and, 3) the European Forest Types (EFT) with the respective descriptions of Forest Management Practices (FMP) for the three preliminary analyzed CSAs (i.e., Austria, Romania and Italy). The third section of the deliverable reports preliminary results from forest model runs, comparing diverse FMP at the stand level and for different age classes and the effects of climate change scenarios, and including various forest management options at the regional level. The fourth section describes the integration of land cover parameterization and FMP into climate models (i.e., REMO-iMOVE and RegCM) by adapting land cover parameterization and creating new plant functional types (PFT). The fifth section briefly describes the link between forest and climate models. It outlines various approaches to integrate forest dynamics into climate simulations, accenting the importance of accurately representing forest characteristics and management practices. The final sixth part is a synthesis and summary of the next steps.

Item Type: Monograph (Project Report)
Subjects: 500 Scienze naturali e Matematica > 570 Scienze della vita; Biologia
500 Scienze naturali e Matematica > 580 Piante (Botanica) (Classificare qui la Storia naturale e la Biologia descrittiva delle piante)
Depositing User: Maria Rosaria Orrico
Date Deposited: 07 Feb 2025 14:38
Last Modified: 24 Mar 2025 11:47
URI: http://eprints.bice.rm.cnr.it/id/eprint/23402

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