The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees

Detalhes bibliográficos
Autor(a) principal: Denéchère, Rémy
Data de Publicação: 2019
Outros Autores: Delpierre, Nicolas, Apostol, Ecaterina Nicoleta, Berveiller, Daniel, Bonne, Fabrice, Cole, Ella, Delzon, Sylvain, Dufrêne, Eric, Gressler, Eliana [UNESP], Jean, Frédéric, Lebourgeois, François, Liu, Guohua, Louvet, Jean-Marc, Parmentier, Julien, Soudani, Kamel, Vincent, Gaëlle
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s00484-019-01762-6
http://hdl.handle.net/11449/187897
Resumo: Leaf phenology is a major driver of ecosystem functioning in temperate forests and a robust indicator of climate change. Both the inter-annual and inter-population variability of leaf phenology have received much attention in the literature; in contrast, the within-population variability of leaf phenology has been far less studied. Beyond its impact on individual tree physiological processes, the within-population variability of leaf phenology can affect the estimation of the average budburst or leaf senescence dates at the population scale. Here, we monitored the progress of spring and autumn leaf phenology over 14 tree populations (9 tree species) in six European forests over the period of 2011 to 2018 (yielding 16 site-years of data for spring, 14 for autumn). We monitored 27 to 512 (with a median of 62) individuals per population. We quantified the within-population variability of leaf phenology as the standard deviation of the distribution of individual dates of budburst or leaf senescence (SDBBi and SDLSi, respectively). Given the natural variability of phenological dates occurring in our tree populations, we estimated from the data that a minimum sample size of 28 (resp. 23) individuals, are required to estimate SDBBi (resp. SDLSi) with a precision of 3 (resp. 7) days. The within-population of leaf senescence (average SDLSi = 8.5 days) was on average two times larger than for budburst (average SDBBi = 4.0 days). We evidenced that warmer temperature during the budburst period and a late average budburst date were associated with a lower SDBBi, as a result of a quicker spread of budburst in tree populations, with a strong species effect. Regarding autumn phenology, we observed that later senescence and warm temperatures during the senescence period were linked with a high SDLSi, with a strong species effect. The shares of variance explained by our models were modest suggesting that other factors likely influence the within-population variation in leaf phenology. For instance, a detailed analysis revealed that summer temperatures were negatively correlated with a lower SDLSi.
id UNSP_9738b0aa46dbc97ca84563e89dd8ec3b
oai_identifier_str oai:repositorio.unesp.br:11449/187897
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous treesBudburstLeaf phenologyLeaf senescenceTemperate forestUncertainty quantificationWithin-population variabilityLeaf phenology is a major driver of ecosystem functioning in temperate forests and a robust indicator of climate change. Both the inter-annual and inter-population variability of leaf phenology have received much attention in the literature; in contrast, the within-population variability of leaf phenology has been far less studied. Beyond its impact on individual tree physiological processes, the within-population variability of leaf phenology can affect the estimation of the average budburst or leaf senescence dates at the population scale. Here, we monitored the progress of spring and autumn leaf phenology over 14 tree populations (9 tree species) in six European forests over the period of 2011 to 2018 (yielding 16 site-years of data for spring, 14 for autumn). We monitored 27 to 512 (with a median of 62) individuals per population. We quantified the within-population variability of leaf phenology as the standard deviation of the distribution of individual dates of budburst or leaf senescence (SDBBi and SDLSi, respectively). Given the natural variability of phenological dates occurring in our tree populations, we estimated from the data that a minimum sample size of 28 (resp. 23) individuals, are required to estimate SDBBi (resp. SDLSi) with a precision of 3 (resp. 7) days. The within-population of leaf senescence (average SDLSi = 8.5 days) was on average two times larger than for budburst (average SDBBi = 4.0 days). We evidenced that warmer temperature during the budburst period and a late average budburst date were associated with a lower SDBBi, as a result of a quicker spread of budburst in tree populations, with a strong species effect. Regarding autumn phenology, we observed that later senescence and warm temperatures during the senescence period were linked with a high SDLSi, with a strong species effect. The shares of variance explained by our models were modest suggesting that other factors likely influence the within-population variation in leaf phenology. For instance, a detailed analysis revealed that summer temperatures were negatively correlated with a lower SDLSi.Ecologie Systématique Evolution Univ. Paris-Sud CNRS AgroParisTech Université Paris-SaclayDepartment of Genetics National Institute for Research and Development in Forestry “Marin Dracea”, 128 Eroilor Blvd.AgroParisTech INRA UMR Silva Université de Lorraine, 14 rue GirardetEdward Grey Institute Department of Zoology University of OxfordBIOGECO INRA University of BordeauxInstituto de Biociências Departamento de Botânica Laboratório de Fenologia UNESP – Universidade Estadual PaulistaINRA UR629 Ecologie des Forêts Méditerranéennes (URFM), Domaine Saint Paul Site AgroparcCollege of Urban and Environmental Sciences Laboratory for Earth Surface Processes of the Ministry of Education Peking UniversityINRA UE 0393 Unité Expérimentale Arboricole Centre de Recherche BordeauxInstituto de Biociências Departamento de Botânica Laboratório de Fenologia UNESP – Universidade Estadual PaulistaUniversité Paris-SaclayNational Institute for Research and Development in Forestry “Marin Dracea”Université de LorraineUniversity of OxfordUniversity of BordeauxUniversidade Estadual Paulista (Unesp)Ecologie des Forêts Méditerranéennes (URFM)Peking UniversityCentre de Recherche BordeauxDenéchère, RémyDelpierre, NicolasApostol, Ecaterina NicoletaBerveiller, DanielBonne, FabriceCole, EllaDelzon, SylvainDufrêne, EricGressler, Eliana [UNESP]Jean, FrédéricLebourgeois, FrançoisLiu, GuohuaLouvet, Jean-MarcParmentier, JulienSoudani, KamelVincent, Gaëlle2019-10-06T15:50:38Z2019-10-06T15:50:38Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s00484-019-01762-6International Journal of Biometeorology.0020-7128http://hdl.handle.net/11449/18789710.1007/s00484-019-01762-62-s2.0-85069640577Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Biometeorologyinfo:eu-repo/semantics/openAccess2021-10-23T14:27:00Zoai:repositorio.unesp.br:11449/187897Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:54:38.634231Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
title The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
spellingShingle The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
Denéchère, Rémy
Budburst
Leaf phenology
Leaf senescence
Temperate forest
Uncertainty quantification
Within-population variability
title_short The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
title_full The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
title_fullStr The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
title_full_unstemmed The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
title_sort The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
author Denéchère, Rémy
author_facet Denéchère, Rémy
Delpierre, Nicolas
Apostol, Ecaterina Nicoleta
Berveiller, Daniel
Bonne, Fabrice
Cole, Ella
Delzon, Sylvain
Dufrêne, Eric
Gressler, Eliana [UNESP]
Jean, Frédéric
Lebourgeois, François
Liu, Guohua
Louvet, Jean-Marc
Parmentier, Julien
Soudani, Kamel
Vincent, Gaëlle
author_role author
author2 Delpierre, Nicolas
Apostol, Ecaterina Nicoleta
Berveiller, Daniel
Bonne, Fabrice
Cole, Ella
Delzon, Sylvain
Dufrêne, Eric
Gressler, Eliana [UNESP]
Jean, Frédéric
Lebourgeois, François
Liu, Guohua
Louvet, Jean-Marc
Parmentier, Julien
Soudani, Kamel
Vincent, Gaëlle
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Université Paris-Saclay
National Institute for Research and Development in Forestry “Marin Dracea”
Université de Lorraine
University of Oxford
University of Bordeaux
Universidade Estadual Paulista (Unesp)
Ecologie des Forêts Méditerranéennes (URFM)
Peking University
Centre de Recherche Bordeaux
dc.contributor.author.fl_str_mv Denéchère, Rémy
Delpierre, Nicolas
Apostol, Ecaterina Nicoleta
Berveiller, Daniel
Bonne, Fabrice
Cole, Ella
Delzon, Sylvain
Dufrêne, Eric
Gressler, Eliana [UNESP]
Jean, Frédéric
Lebourgeois, François
Liu, Guohua
Louvet, Jean-Marc
Parmentier, Julien
Soudani, Kamel
Vincent, Gaëlle
dc.subject.por.fl_str_mv Budburst
Leaf phenology
Leaf senescence
Temperate forest
Uncertainty quantification
Within-population variability
topic Budburst
Leaf phenology
Leaf senescence
Temperate forest
Uncertainty quantification
Within-population variability
description Leaf phenology is a major driver of ecosystem functioning in temperate forests and a robust indicator of climate change. Both the inter-annual and inter-population variability of leaf phenology have received much attention in the literature; in contrast, the within-population variability of leaf phenology has been far less studied. Beyond its impact on individual tree physiological processes, the within-population variability of leaf phenology can affect the estimation of the average budburst or leaf senescence dates at the population scale. Here, we monitored the progress of spring and autumn leaf phenology over 14 tree populations (9 tree species) in six European forests over the period of 2011 to 2018 (yielding 16 site-years of data for spring, 14 for autumn). We monitored 27 to 512 (with a median of 62) individuals per population. We quantified the within-population variability of leaf phenology as the standard deviation of the distribution of individual dates of budburst or leaf senescence (SDBBi and SDLSi, respectively). Given the natural variability of phenological dates occurring in our tree populations, we estimated from the data that a minimum sample size of 28 (resp. 23) individuals, are required to estimate SDBBi (resp. SDLSi) with a precision of 3 (resp. 7) days. The within-population of leaf senescence (average SDLSi = 8.5 days) was on average two times larger than for budburst (average SDBBi = 4.0 days). We evidenced that warmer temperature during the budburst period and a late average budburst date were associated with a lower SDBBi, as a result of a quicker spread of budburst in tree populations, with a strong species effect. Regarding autumn phenology, we observed that later senescence and warm temperatures during the senescence period were linked with a high SDLSi, with a strong species effect. The shares of variance explained by our models were modest suggesting that other factors likely influence the within-population variation in leaf phenology. For instance, a detailed analysis revealed that summer temperatures were negatively correlated with a lower SDLSi.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T15:50:38Z
2019-10-06T15:50:38Z
2019-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s00484-019-01762-6
International Journal of Biometeorology.
0020-7128
http://hdl.handle.net/11449/187897
10.1007/s00484-019-01762-6
2-s2.0-85069640577
url http://dx.doi.org/10.1007/s00484-019-01762-6
http://hdl.handle.net/11449/187897
identifier_str_mv International Journal of Biometeorology.
0020-7128
10.1007/s00484-019-01762-6
2-s2.0-85069640577
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Biometeorology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128719498248192