Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests

Tree recruitment forms an essential process in forest growth models as it determines the amount and composition of the next generation of trees and, hence, the provision of forest ecosystem services over long time spans. With global change and the hereby associated changes in environmental condition...

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Autores: König, Louis A., Schelhaas, Mart-Jan, Astigarraga Urcelay, Julen|||0000-0001-9520-3713, Cienciala, Emil, Flury, Roman, Fridman, Jonas, Govaere, Leen, Lehtonen, Aleksi, Muelbert, Adriane E., Pugh, Thomas A. M., Rohner, Brigitte, Ruiz Benito, Paloma|||0000-0002-2781-5870, Suvanto, Susanne, Talarczyk, Andrzej, Zavala Gironés, Miguel Ángel de|||0000-0003-1456-0132, Vega Medina, José, Staritsky, Igor, Hengeveld, Geerten, Nabuurs, Gert-Jan
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/68486
Acceso en línea:http://hdl.handle.net/10017/68486
https://dx.doi.org/10.1016/j.ecolmodel.2025.111112
Access Level:acceso abierto
Palabra clave:Forest regeneration
Forest recruitment modelling
Ingrowth
Forest dynamic models
Silvicultura
Forestry
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spelling Combining national forest inventories reveals distinct role of climate on tree recruitment in European forestsKönig, Louis A.Schelhaas, Mart-JanAstigarraga Urcelay, Julen|||0000-0001-9520-3713Cienciala, EmilFlury, RomanFridman, JonasGovaere, LeenLehtonen, AleksiMuelbert, Adriane E.Pugh, Thomas A. M.Rohner, BrigitteRuiz Benito, Paloma|||0000-0002-2781-5870Suvanto, SusanneTalarczyk, AndrzejZavala Gironés, Miguel Ángel de|||0000-0003-1456-0132Vega Medina, JoséStaritsky, IgorHengeveld, GeertenNabuurs, Gert-JanForest regenerationForest recruitment modellingIngrowthForest dynamic modelsSilviculturaForestryTree recruitment forms an essential process in forest growth models as it determines the amount and composition of the next generation of trees and, hence, the provision of forest ecosystem services over long time spans. With global change and the hereby associated changes in environmental conditions and forest management adaptations, the common static tree recruitment modelling approaches have become largely obsolete and necessitated the development of more dynamic models. Limited by the availability of data for the parameterisation of tree recruitment processes, such models have only been developed for single species or national frameworks and largely failed to detect climatic influences. In this study, we developed a dynamic tree recruitment model for Europe, utilising National Forest Inventory data from 8 countries with more than 95,000 repeated plot observations and nearly 138,000 individual tree recruitment events. We investigated the effect of forest management, forest structure, soil characteristics, nutrient deposition and five groups of weather and climate variables on the quantity and the species composition of recruiting trees. The climatic groups spanned annual averages, intra annual averages, annual variability, intra annual extremes and a combination of the aforementioned groups. The model with the combination of climate and weather variables outperformed all other groups. We found distinct climatic effects on tree recruitment quantities linked to water limitations and temperature extremes. The results as such showed that tree recruitment quantities benefit from stable climatic conditions, high precipitation and suffer from high maximum temperatures. Increasing temperatures also facilitate the share of recruiting broadleaves. The recruitment species was largely determined by the lead species in a plot, indicating the importance of seed limitation. Furthermore, the results confirm the important role of forest structure in tree recruitment and enable forest managers to steer the next generation of trees. Especially multi-species stands show a clear advantage over single species stands regarding tree recruitment quantities and diverse species compositions. Our research enables dynamic and state-of-the-art recruitment simulations across forests in Europe. It presents a reproducible method that can be applied to forest simulation modelling frameworks.20252025-06-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/68486https://dx.doi.org/10.1016/j.ecolmodel.2025.111112reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/684862026-06-18T11:13:07Z
dc.title.none.fl_str_mv Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
title Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
spellingShingle Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
König, Louis A.
Forest regeneration
Forest recruitment modelling
Ingrowth
Forest dynamic models
Silvicultura
Forestry
title_short Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
title_full Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
title_fullStr Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
title_full_unstemmed Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
title_sort Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests
dc.creator.none.fl_str_mv König, Louis A.
Schelhaas, Mart-Jan
Astigarraga Urcelay, Julen|||0000-0001-9520-3713
Cienciala, Emil
Flury, Roman
Fridman, Jonas
Govaere, Leen
Lehtonen, Aleksi
Muelbert, Adriane E.
Pugh, Thomas A. M.
Rohner, Brigitte
Ruiz Benito, Paloma|||0000-0002-2781-5870
Suvanto, Susanne
Talarczyk, Andrzej
Zavala Gironés, Miguel Ángel de|||0000-0003-1456-0132
Vega Medina, José
Staritsky, Igor
Hengeveld, Geerten
Nabuurs, Gert-Jan
author König, Louis A.
author_facet König, Louis A.
Schelhaas, Mart-Jan
Astigarraga Urcelay, Julen|||0000-0001-9520-3713
Cienciala, Emil
Flury, Roman
Fridman, Jonas
Govaere, Leen
Lehtonen, Aleksi
Muelbert, Adriane E.
Pugh, Thomas A. M.
Rohner, Brigitte
Ruiz Benito, Paloma|||0000-0002-2781-5870
Suvanto, Susanne
Talarczyk, Andrzej
Zavala Gironés, Miguel Ángel de|||0000-0003-1456-0132
Vega Medina, José
Staritsky, Igor
Hengeveld, Geerten
Nabuurs, Gert-Jan
author_role author
author2 Schelhaas, Mart-Jan
Astigarraga Urcelay, Julen|||0000-0001-9520-3713
Cienciala, Emil
Flury, Roman
Fridman, Jonas
Govaere, Leen
Lehtonen, Aleksi
Muelbert, Adriane E.
Pugh, Thomas A. M.
Rohner, Brigitte
Ruiz Benito, Paloma|||0000-0002-2781-5870
Suvanto, Susanne
Talarczyk, Andrzej
Zavala Gironés, Miguel Ángel de|||0000-0003-1456-0132
Vega Medina, José
Staritsky, Igor
Hengeveld, Geerten
Nabuurs, Gert-Jan
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Forest regeneration
Forest recruitment modelling
Ingrowth
Forest dynamic models
Silvicultura
Forestry
topic Forest regeneration
Forest recruitment modelling
Ingrowth
Forest dynamic models
Silvicultura
Forestry
description Tree recruitment forms an essential process in forest growth models as it determines the amount and composition of the next generation of trees and, hence, the provision of forest ecosystem services over long time spans. With global change and the hereby associated changes in environmental conditions and forest management adaptations, the common static tree recruitment modelling approaches have become largely obsolete and necessitated the development of more dynamic models. Limited by the availability of data for the parameterisation of tree recruitment processes, such models have only been developed for single species or national frameworks and largely failed to detect climatic influences. In this study, we developed a dynamic tree recruitment model for Europe, utilising National Forest Inventory data from 8 countries with more than 95,000 repeated plot observations and nearly 138,000 individual tree recruitment events. We investigated the effect of forest management, forest structure, soil characteristics, nutrient deposition and five groups of weather and climate variables on the quantity and the species composition of recruiting trees. The climatic groups spanned annual averages, intra annual averages, annual variability, intra annual extremes and a combination of the aforementioned groups. The model with the combination of climate and weather variables outperformed all other groups. We found distinct climatic effects on tree recruitment quantities linked to water limitations and temperature extremes. The results as such showed that tree recruitment quantities benefit from stable climatic conditions, high precipitation and suffer from high maximum temperatures. Increasing temperatures also facilitate the share of recruiting broadleaves. The recruitment species was largely determined by the lead species in a plot, indicating the importance of seed limitation. Furthermore, the results confirm the important role of forest structure in tree recruitment and enable forest managers to steer the next generation of trees. Especially multi-species stands show a clear advantage over single species stands regarding tree recruitment quantities and diverse species compositions. Our research enables dynamic and state-of-the-art recruitment simulations across forests in Europe. It presents a reproducible method that can be applied to forest simulation modelling frameworks.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-06-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/68486
https://dx.doi.org/10.1016/j.ecolmodel.2025.111112
url http://hdl.handle.net/10017/68486
https://dx.doi.org/10.1016/j.ecolmodel.2025.111112
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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