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Characterizing the respective importance of ontogeny and environmental constraints in forest tree development using growth phase duration distributions
- Source :
- Ecological Modelling, Ecological Modelling, Elsevier, 2015, 300, pp.61-72. ⟨10.1016/j.ecolmodel.2014.12.022⟩, Ecological Modelling, 2015, 300, pp.61-72. ⟨10.1016/j.ecolmodel.2014.12.022⟩
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; This study aimed to identify robust indicators that summarize the respective importance of ontogeny and environmental constraints in tree development. In the proposed approach, tree growth data correspond to the retrospective measurement of annual shoot characteristics (e.g. length, number of branches) along the main stem. We applied segmentation models to identify tree growth phases. These segmentation models, which are hidden semi-Markov chains, were compared with simple hidden Markov chains that correspond to the environment-driven development assumption. This statistical modelling approach was applied to both evergreen (Corsican pine and silver fir) and deciduous (sessile oak and Persian wal-nut) tree species growing in contrasted conditions ranging from managed forest stands to unmanaged understoreys. Growth phase duration distributions estimated within these segmentation models char-acterize the respective importance of ontogeny and environmental constraints in tree development at the population scale and have very contrasted characteristics in terms of shape and relative dispersion between ontogeny-driven and environment-driven tree development. These characteristics may change over tree life, reflecting changes in tree competition. Growth phase duration distributions summarize the joint trajectory of tree ontogeny and environment without requiring tree growth follow-up data for their estimation.
- Subjects :
- 0106 biological sciences
Segmentation model
Juglans regia
F62 - Physiologie végétale - Croissance et développement
01 natural sciences
F50 - Anatomie et morphologie des plantes
Statistics
K01 - Foresterie - Considérations générales
Segmentation
Pinus nigra
education.field_of_study
Port de la plante
[STAT.AP]Statistics [stat]/Applications [stat.AP]
Ecology
U10 - Informatique, mathématiques et statistiques
Ecological Modeling
Plant architecture
Hidden semi-Markov chain
Abies alba
Tree (data structure)
Deciduous
Quercus petraea
Développement biologique
Intéraction génotype environnement
Developmental plasticity
Population
Biology
010603 evolutionary biology
Bioinformatique
[SDV.BV]Life Sciences [q-bio]/Vegetal Biology
education
Croissance
Compétition biologique
Morphologie végétale
Méthode statistique
Statistical model
Modèle de simulation
15. Life on land
biology.organism_classification
Growth trajectory
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Scale (map)
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 03043800
- Database :
- OpenAIRE
- Journal :
- Ecological Modelling, Ecological Modelling, Elsevier, 2015, 300, pp.61-72. ⟨10.1016/j.ecolmodel.2014.12.022⟩, Ecological Modelling, 2015, 300, pp.61-72. ⟨10.1016/j.ecolmodel.2014.12.022⟩
- Accession number :
- edsair.doi.dedup.....e140e3562b335440a6a611fa89379c09
- Full Text :
- https://doi.org/10.1016/j.ecolmodel.2014.12.022⟩