The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , , , , , , , , |
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 |