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Tree regeneration in models of forest dynamics – Suitability to assess climate change impacts on European forests / Louis A. König in Forest ecology and management, vol 520 (September-15 2022)  

Public [article]  inForest ecology and management > vol 520 (September-15 2022) . - n° 120390 Titre : Tree regeneration in models of forest dynamics – Suitability to assess climate change impacts on European forests Type de document : Article/Communication Auteurs : Louis A. König, Auteur ; Frits Mohren, Auteur ; Mart-Jan Schelhaas, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 120390 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique [Termes IGN] dépérissement [Termes IGN] dynamique de la végétation [Termes IGN] écosystème forestier [Termes IGN] Europe (géographie politique) [Termes IGN] germination [Termes IGN] gestion forestière durable [Termes IGN] graine [Termes IGN] jeune arbre [Termes IGN] modélisation de la forêt [Termes IGN] pollen [Termes IGN] régénération (sylviculture) [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Climate change impacts on Europe’s forests are becoming visible much sooner than previously anticipated. The increase in natural disturbances leads to tree mortality and raises concerns about the forest’s adaptive potential to sustain vital ecosystem services. In this context, the regeneration phase is crucial and comprises the largest potential to adapt to new environmental conditions with long lasting implications. Yet, forest regeneration is particularly susceptible to climatic changes due to the many directly climate-dependent processes, such as seed production and germination but also seedling and sapling development. Models of forest dynamics (MFDs) are essential to describe, understand and predict the effects of changing environmental and management factors on forest dynamics and subsequently on associated ecosystem services. We review a large variety of MFDs with regard to their representation and climate sensitivity of regeneration processes. Starting with a description of the underlying biological processes, we evaluate the various approaches taking into account specific model purposes, and provide recommendations for future developments. We distinguish between models based on ecological principles and models based on empirical relationships. We found an ample mix of regeneration modelling approaches tailored to different model purposes. We conclude that current approaches should be refined to adequately capture altered regeneration trends. Specifically, refinement is needed for MFDs that rely on ecological principals, as they suffer from knowledge gaps and underrepresented processes, thereby limiting their ability to accurately simulate forest regeneration under climate change. Global vegetation models are strongly constrained by their weak representation of vegetation structure and composition, and need to include more detail regarding structural complexity and functional diversity. Models focused on timber yield often rely on strong assumptions regarding the abundance and composition of the next tree generation, which may no longer hold true with changes in climate and forest management. With the increased utilization of natural regeneration as a source of forest renewal, more dynamic representations of tree regeneration are needed. Our review highlights the necessity to increase the data basis to close knowledge gaps and to enable the adequate incorporation and parameterization of the involved processes. This would allow to capture altered regeneration patterns and subsequent effects on forest structure, composition and, ultimately, forest functioning under climate change. Numéro de notice : A2022-556 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2022.120390 Date de publication en ligne : 05/07/2022 En ligne : https://doi.org/10.1016/j.foreco.2022.120390 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101170 [article]